NURS FPX 9030 Assessment 4

• NURS FPX 9030 Assessment 4.

NURS FPX 9030 Assessment 4

Student Name

University
NURS 9030
Dr.
July, 2026

Improving Glycemic Control in Adult Patients with Type 2 Diabetes Through Implementation of a Structured ADA Diabetes Follow-Up Protocol in an Outpatient Primary Care Setting

However, there are significant practice gaps in outpatient primary care settings that prevent adult patients with T2DM from receiving optimal glycemic control, including the lack of standardized, protocolized follow-up pathways for glycemic control, missing opportunities for education, and failure to review medications in an optimal manner. Significantly more than one-fourth of people with diabetes in the United States (U.S.) have poor glycemic control, with 42% of adult patients having glycated hemoglobin (HbA1c) levels greater than 9% and only 36% meeting the target of less than 7% (APRN, personal communication, November 2025; Adjei et al., 2025). Although the ADA has clinical practice guidelines in place, there are still gaps in the follow-up, competency of staff, and organized patient education delivered by nurses in primary care settings. The PICOT question for the project is: In nursing care of adult patients with diabetes (P), does the use of the ADA diabetes follow-up protocol (I) have an impact on glycemic control (O) after 8 weeks (T) when compared to current nursing practice (C)? The adoption of a systematic follow-up protocol based on the ADA standards of care, along with staff competency development and patient self-management education, will lead to clinically significant glycemic outcome improvements and advance evidence-based chronic care management in outpatient primary care.

Practice Problem

The glycemic management of type 2 diabetes in adult outpatient primary care should be systematic and evidence-based, and must solve the chronic problem of the gap between the glycemic control of people with established type 2 diabetes and the accepted health system benchmarks. Using the site-level data obtained in the outpatient primary care clinic, it was discovered that 42% of adult patients have a hemoglobin A1c level of >9%, and 36% have a hemoglobin A1c level of <7% (APRN, personal communications, November 2025). Globally, nearly 45% of the adult population with diabetes are not meeting an HbA1c target of less than 7%, and almost 22% of the adult population with diabetes in the country has poor glycemic control; meeting the country performance data is much higher than established health system benchmarks (Adjei et al., 2025; Dinavari et al., 2023). The individuals in the U.S. and Europe with bad metabolic control (HbA1c >9%) are one-fourth of adults (Gomes et al., 2022). In adults attending outpatient diabetes clinics, factors related to behaviour and demographics are the most common reasons for poor glycemic control; this means that early identification of individuals with high risk for poor glycemic control, and structured clinical intervention to improve glycemic control, is needed to address these (Karmakar et al., 2025). The quantitative data gathered from the site provides a quantitative basis to determine a quality improvement intervention that is targeted at the practicum site. A comprehensive assessment of existing workflow and process flows, staffing practices, and care coordination measures in the clinical environment is necessary to properly determine the causal factors affecting poor glycemic control. Some examples of other key process failures found on the project site when auditing the EHR process and documenting the documentation included inconsistent scheduling, lack of structured follow-up, and variability in the delivery of education, which were identified as factors affecting sub-optimal glycemic outcomes (APRN, personal communication, November 2025). There was no standardized, protocolized follow-up pathway, inconsistent use of EHR reminders, and no multidisciplinary coordination, leading to a delay in timely medication adjustments and tailored education of the most vulnerable patients for complications (APRN, personal communication, November 2025). In addition, failure to follow up on the visits and EHR documentation audits were further identified as systemic process failures related to scheduling visits and proactively contacting patients (APRN, personal communication, November 2025). Previous attempts to educate about diabetes using one-time education sessions and periodic telehealth visits have not been effectively scheduled or evaluated and have been inconsistent in the quality of diabetes education and content provided to the patient (Dailah, 2024). Therefore, the identified practice gap was confirmed as an absence of a protocolized follow-up pathway, by conducting a comprehensive needs assessment. To merit prompt and systematic action, quality improvement programs focused on chronic disease management will need to consider how much impact each of the stakeholders will have. Primary stakeholders affected by chronic glycemic differences include nursing staff, adults with diabetes, and organizational leaders; poor glycemic control has been linked to more hospitalisations, more use of health services, and more preventable hospitalisations, increased rates of heart disease, neuropathy, and more. Evidence suggests that structured nurse-led programs are clinically and statistically proven to reduce HbA1c levels by 0.4 – 0.9 percentage points over a 10 – 12 month follow-up period and could be a clinically appropriate and cost-effective approach for all outpatient primary care settings, as changes in HbA1c levels were statistically significantly different from those observed in self-management programs (Sun et al., 2025). There is a national report of a lack of glycemic control, especially among vulnerable and low-income patients, and a need for immediate action using standardized approaches at the project site (Centers for Disease Control and Prevention, 2024). Therefore, meeting the identified practice gap, which was highly relevant for the site’s mission of accessible, evidence-based primary care, was a clinical need and an organisational strategic priority.

Project Site

Diverse outpatient primary care clinics located in urban areas are the basis for implementing structured chronic disease management interventions. One example of this is the outpatient primary care clinic in New York City that focused on the project. The clinic’s patient population consists of patients of various cultural and socioeconomic backgrounds, and is made up of adults. Around 60% of those who come to the clinic at the clinic have long-term diseases like diabetes and hypertension (APRN, personal communication, November 2025). The clinic is equipped with six examining rooms, two private rooms for counseling, and telehealth workstations allowing virtual business and patient remote monitoring options. There are six healthcare professionals (nurse practitioners, medical assistants, a care coordinator, a health educator) and several office employees who coordinate patient care and patient care-related workflow. The clinic’s vision is to enhance the health of the community by providing primary care services that are accessible, evidence-based, and available, and preventive health services. Therefore, the setting of a clinic will be a suitable setting for a structured QIP on diabetes. A knowledge of the context of the practice site will enable the reader to appreciate how a quality improvement project is a timely and appropriate response to the identified clinical issue. The clinic focuses on the prevention of chronic disease, continuity of care, and health education. A focus on health education, continuity of care, and managing chronic conditions presents a chance to implement a diabetes follow-up process with little or no organizational change (APRN, personal communication, November 2025). The clinic had electronic health records (EHRs) in place, facilitating improved documentation, scheduling, and progress monitoring of patients. The standardized protocol would build on what was already in place to educate patients and provide medication reinforcement, without burdening staff performing this work. The Leadership acknowledged that there was a gap in practice, and they felt that the project had potential clinical and financial implications and that it should be prioritised. Leadership saw glycemic stabilization as a way to move forward with the organization’s performance measures for quality and meeting value-based care and patient satisfaction requirements. The project was well aligned with the existing priorities of the organization, which was perceived as an ideal setting for the quality improvement intervention. To gain insight into the problematic process, a systematic review of the pre-project diabetes management at the practicum site was conducted to better understand how the management of diabetes had been compromised. Most diabetes care and education was provided by the nursing staff through regular visits to the provider, and general patient-centered verbal counseling, but there was no equivalent standardized or structured follow-up process for the two methods of diabetes care. There was no structured follow-up process; this meant diabetes education was not always provided, and communication between nurses and patients was not reliable when it came to diabetes self-management. Key process issues included: ad hoc scheduling and rescheduling, inappropriate timing of EHR reminders to be used; failure to coordinate with multiple specialties; and failure to review patient follow-up information to facilitate timely medication changes and targeted patient education for those at greatest risk. For patients, the efficacy of diabetes management and outcomes has been found to be poorer in unstructured outpatient diabetes care processes, regardless of the type of care received (Heise et al., 2022). Second, studies have demonstrated that improving adherence to a standardized and standardized follow-up protocol and embedding the follow-up protocol into EHRs will decrease missed visits, late intervention, and poor quality of diabetes care (Wang et al., 2025). Results of the needs assessment (baseline data extraction, staff interviews, chart auditing, and EHR auditing data) confirmed the need for an evidence-based diabetes follow-up protocol intervention at the clinic. The process failures are included to highlight the need for a diabetes follow-up program based on the practicum site’s protocol.

Project Population

A well-defined population is essential when determining the effectiveness of quality improvement efforts and ensuring that the effort is targeted and has a positive and measurable impact. For the project, the project population was defined as a population of only nursing staff who provide care for patients with type 2 diabetes in the outpatient primary care clinic, as the intervention was intended to increase nursing staff competency levels of implementing the standardized ADA diabetes follow-up protocol (APRN, personal communication, November 2025). The teaching team associated with the project had a diverse educational background, clinical experience, and professional experiences, and thus, there was no uniform approach to the management of diabetes or patient education. In order to assess a meaningful change in diabetes competency level and compliance with the standardized diabetes follow-up protocol, at least 8-10 nursing staff members needed to be involved. Before the design of the quality improvement intervention, a detailed profile of the nursing staff was developed to provide a framework to target, develop, and implement a competency-based and feasible intervention to achieve quality improvement. The example gave a clinical and professional context for preparing the nursing staff for a standardized diabetes follow-up intervention, through the characteristics shared by them. All nursing staff involved in the project were currently licensed as either an R.N. or an A.P.N., and were also actively involved in the direct care of adult patients with type 2 diabetes in a nurse-directed team approach emphasizing education, support for self-management, and chronic disease follow-up as core responsibilities (APRN, personal communication, November 2025). There was a spectrum of confidence, knowledge, and understanding of diabetes management procedures among the nursing staff before the intervention, with a pre-intervention competency level of 59% showing a need to deliver an integrated and structured educational programme. The multi-disciplinary nursing team in the structured competency development program consisted of three nurse practitioners, two medical assistants, one care coordinator, and one health educator. The commonalities among the nurses’ work led to a good foundation for creating a quality improvement program based on the intervention of the ADA follow-up protocol. Clear inclusion and exclusion criteria were set for the nursing staff that participated in the project, allowing the project to go about maintaining a population focus so that any contributions to glycemic outcomes would be in line with improvement. Nursing staff who meet with an adult with a type 2 diabetes diagnosis for patient education about diabetes, initiation and/or management of diabetes-related medications, and/or providing diabetes-related follow-up as part of a routine, normal clinical visit to the clinic were included in the project (APRN, personal communication, November 2025). All of the above duties will also need to be performed by nursing staff, with the health care facility being actively staffed by nursing personnel for the 8 weeks of the project implementation and actively involved in clinical provider activities that relate to the ADA follow-up protocol objectives stated above. Nursing staff working in administrative roles (not providing direct patient care), nursing staff working in support roles (not providing direct patient care), and nursing staff who worked in temporary roles and/or short-term employment (not providing adequate direct patient care) were not included in the project. The inclusion criteria as well as the exclusion criteria for the project added to the internal validity of the project and guaranteed the results of the structured intervention would be representative of the effect of the structured intervention on the nursing population they intended to participate in the project.

Evidenced-Based Interventions

Quality improvement programs that are effective must involve multiple components of intervention to achieve greater and more sustained reductions in glycemic targets than do single components alone. A review of the literature revealed the need for fidelity and outcomes to be achieved in a scalable, culturally responsive, and iterative manner, utilizing EHR integration. The project put into practice the diabetes follow-up procedure recommended by the ADA to more consistently structure processes of diabetes care during the 8-week implementation. Diabetes pathophysiology was discussed, along with successful ways to leverage EHR resources to monitor outcomes, improve patient engagement, and increase adherence, during structured instructional sessions.Structured instructional sessions were held for healthcare providers on diabetes pathophysiology and effective utilization of EHR resources to monitor outcomes, improve patient engagement, and increase adherence. The educational plan included simulation training, case-based education, and peer mentoring workshops to ensure the diabetes management approaches were implemented in practice (American Diabetes Association, 2024). To ensure that participants could confidently follow standardized follow-up procedures and could use validated patient education resources, competency was evaluated by teaching observations, performance checklists, and knowledge assessment. Sustaining the initiative was important to ensure that everyone was responsible for the process, clinical practice was consistent, and a culture of continuous quality improvement (CQI) was present (Dailah, 2024). The training was supplemented with regular refresher sessions, peer discussions, and feedback cycles to pinpoint challenges, measure the effect of training, and share good practices with nursing participants. The evidence that showed that HbA1c significantly reduced in a quasi-experimental outpatient setting led to choosing the follow-up schedule of biweekly. Structured iterations of care over 8 weeks, designed within the project matched directly with ADA’s guidance on team-based iterative care; however, there were variations in applicability of the guidance based on the health literacy and resource differences among patients (American Diabetes Association, 2024). The systematic process of translating the ADA into clinic workflows gave the structure needed to make measurable glycemic improvements during the entire implementation process. Multidisciplinary team-based care was used to ensure that clinical workload was fairly distributed among the clinicians, care coordinators, and health educators. Interprofessional role distribution is clinically supported by the team-based models, as they also provide a consistent decrease in hospitalizations and better adherence in population-level diabetes care (ElSayed et al., 2022). In addition to the clinical team, competency-based team training enhanced coordination and fidelity of implementation for all roles in the delivery of treatment in the clinic, which in turn enhanced overall clinical team performance (Samardzic et al., 2020). Comparative studies revealed that the multidisciplinary interventions always led to more far-reaching system-level changes than the single-provider educational interventions in isolation (ElSayed et al., 2022; Samardzic et al., 2020). But smaller clinics did not have plans for resource reallocation, which meant that they could not grow. Multidisciplinary team-based care thus became a key element of the intervention design that enabled uniform and equitable delivery of the intervention protocols across the project site. Self-care management programs that focus on the patient’s needs were recommended as a key intervention to increase SCE and glycaemic control outcomes in the patient population enrolled. An intervention with structured patient-centered education (PCE) was shown to significantly lower HbA1c and enhance self-care behaviors at the end of the trial in the multicenter randomized trial by Asmat et al. (2024). Fracso et al. (2022) undertook a phenomenological descriptive study which explored empowerment mechanisms of vulnerable participants utilising peer support and tailored goal setting. Meaningful effect sizes were found in systematic reviews, but there was variability in how the programs were delivered and measured across the studies included (Asmat et al., 2024; Fracso et al., 2022; Huang et al., 2024). Because of the varied patient population being served at the project site, tailored curricula and fidelity monitoring were added to maximize the effectiveness of the intervention for the various patient populations. Patient-centered self-management education served as a key pathway for the nurse-led visits to result in the observed reductions in glycemic control and maintenance of behavior change. To enhance access and adherence to follow-up care, particularly for patients who lack transportation and have limited mobility, the telehealth follow-up and automated EHR reminder were implemented.The Telehealth Follow-up and Automated EHR Reminder were added to enhance accessibility and adherence to follow-up care among patients with transportation barriers and limited mobility. Ezeamii’s (2024) analysis noted the following enhancements in telemedicine implementation at the national level: attendance at appointments and remote monitoring capabilities. However, digital access gaps and differing health literacy influenced the effectiveness of telehealth in a differential manner across socio-economic groups. When telehealth was added to structured follow-up, glycemic results were comparable to those obtained from in-person visits over the short term (Ezeamii, 2024; ElSayed et al., 2022). All of the tracking systems were based on the EHR to ensure follow-ups, reminders for overdue visits, and to have HbA1c data tracked centrally at the project site. Okemah et al. (2023) found web-based tools to be beneficial for provider teams documenting accurately and monitoring outcomes. Comparative results indicated that EHR prompts were more effective at enhancing adherence to protocolized visits than passive reminders (Okemah et al., 2023; ElSayed et al., 2022). Investment in training, re-engineering of workflow, and regular audits were required for implementation to ensure the quality and usefulness of the data over the course of the intervention. The ability to scale up monitoring, coupled with the project’s outcome goals focused on measurement, was realized through EHR integration. Language barriers and culturally specific self-management beliefs among patients enrolled were addressed with culturally tailored education interventions. Wadi et al. (2021) found that the more interventions included cultural dietary preferences and family engagement strategies, the more improvements in HbA1c were seen. Goetz and Schork (2020) highlighted the principles of personalized medicine to make relevance better throughout the rural and urban practice. Culturally targeted education resulted in greater persistent behavior change when compared to generic education approaches among a variety of populations. Staff training was via simulation to strengthen teaching skills and to practice the application of diabetes education protocols. The improvements in knowledge and patient education performance after web-based faculty training modules were shown in the study by Okemah et al. (2023). From comparative studies, didactic sessions resulted in a smaller level of practical skills retention than simulated, hands-on learning experiences (Bisbey et al., 2021; Dailah, 2024). The project thus focused on simulation, demonstration, and competency checklists, so that staff were able to maintain their competency during the implementation. This included behavioral goal-setting and motivational interviewing strategies in each follow-up appointment to facilitate patient-centered behavior change and maintenance of behavioral changes (Huang et al., 2024). Incorporating culturally competent education and behavioral approaches into the standardized follow-up process led to a therapeutic approach that was relevant, equitable, and highlighted the diverse self-management needs of enrolled patients. Peer mentoring and group support sessions were introduced to take advantage of social reinforcement and shared experiences for maintaining self-management engagement. Fracso et al. (2022) noted qualitative results of gaining confidence, self-efficacy, and problem-solving skills when there is a consistent structure in the group interaction. Individual interventions led to faster knowledge gains, and group interventions to faster and more durable changes in sustained behavior change and accountability among peers in comparative studies. To ensure fidelity and facilitate learning, the information from the data review was incorporated into the project on a biweekly basis, which was followed by adaptive changes (Lin et al., 2022). However, smaller practices have not adopted the device widely, due to device costs, data security issues, and variability in patient engagement. Selective deployment to motivated patients and linking to EHR systems ensured that the resource requirements were kept to a minimum throughout the deployment process to ensure utility. Peer mentoring, group support, and the iterative data review were delivered in a strategic way, ensuring the intervention was responsive, socially reinforced, and able to maintain a level of patient engagement throughout the whole eight-week implementation.

Role of the Project Lead

To achieve good quality improvement projects, there is a need for clear and sound leadership from all stakeholders, from the initial design through to implementation, that will integrate the clinical knowledge and experience, interprofessional collaboration, and systems thinking. The DNP student led the design of a standardized ADA diabetes follow-up protocol, created educational materials to assist in the protocol implementation process, configured EHR dashboards to support the process, and coordinated all aspects of the logistics associated with the eight-week protocol implementation process (APRN, personal communication, November 2025). The project lead conducted a baseline needs assessment, extracting pre-intervention HbA1c results from the EHRs for the enrolled patients, staff competency scores, and follow-up completion rates, to create solid baseline measures for benchmarking. In order to effectively lead the evidence-based project, the project lead needed to be engaged in ongoing communication with the organizational stakeholders, interprofessional team members, and academic mentors during the project implementation period to ensure fidelity to the implementation process and the academic rigor of the project. The plan-do-study-act (PDSA) framework was used to continuously make changes to the workflow throughout each implementation cycle to ensure the workflow changes were data-driven and transparent (Abuzied et al., 2023). Structured meetings, virtual consultations, and written progress reports documenting the completion of implementation milestones and adaptive modifications were used for continued communication with the site preceptor, DNP faculty mentor, and clinic leadership (APRN, personal communication, November 2025). Ethical compliance was maintained throughout the project, certification for the CITI course was completed, IRB approvals were coordinated from each participant, and procedures were followed to ensure informed participation of all participants was adhered to throughout the project, including the de-identification of data, which had to be done in compliance with the Health Insurance Portability and Accountability Act (HIPAA). Successful implementation of the rigorous approach of the project lead, clinical expertise, and collaborative leadership across phases of implementation highlighted the important role that APRNs will play in achieving sustainable quality improvement outcomes in the field of nursing practice.

Roles of Other Team Members

For quality improvement programs to be successful in outpatient primary care, the roles and responsibilities of interprofessional teams must be clearly defined and distributed fairly among their members, with emphasis on improving the provision of coordinated care by all elements of the intervention. The preceptor at the site served as the clinical supervisor and APRN, offered direct supervision of implementation of the protocol, and had primary contact with the leadership of the organization during the entire 8-weeks of the project (APRN, personal communication, November 2025). At each biweekly visit, nurse practitioners conducted clinical evaluations, conducted separate educational and counseling sessions with each patient, and helped them achieve the recommended follow-up benchmarks by the ADA. It has been well documented that role clarity among QI teams contributes to increased shared accountability and greater fidelity around implementing evidence-based intervention (Hempel et al., 2022). Care managed scheduling, telehealth logistics, and reminder activation in the EHR, as well as attendance tracking, is managed by the coordinator to maintain follow-up rates above the set benchmarks. The health educator delivered culturally responsive patient education to program members, using a variety of languages and health literacy levels. All staff members were familiar with and understood their specific role, and they had rehearsed this, ensuring consistency, accountability, and consistency with the project’s evidence-based goals from start to finish. Each team member needs to have a unique and complementary role in the implementation of the project to ensure implementation fidelity and scholarly rigor throughout the project. Medical assistants took vital signs from patients, created educational materials, facilitated communication with patients, and recorded the clinical information gathered from each two-week visit in the EHR. All educational sessions were attended by the nurses, and the nurses adopted standardized components of the ADA follow-up protocol for patient visits, and they filled the fidelity checklist for each patient visit. The necessity of interprofessional working and formal communication links to the ongoing success of quality improvement in primary care settings is well recognised and understood (Dellafiore et al., 2025). Team members are all held accountable for the protocol of the implementation, which helps them identify any obstacles in the process as it happens, and across roles, shared accountability increases adherence to the protocol of the implementation. In each of the stages of implementation, the DNP faculty mentor gave the DNP student academic consulting services through review of the reports kept by the DNP student. The interdisciplinary team members met with the stakeholders every other week to continue communicating about the project, be transparent in what they were doing, and work together to solve problems in the project team.

Literature Synthesis

Creating a robust and systematic search strategy is a key component in identifying high-quality and relevant evidence that directly answers the PICOT question that the quality improvement project will address. The PICOT question is: Does the ADA diabetes follow-up protocol (I) improve glycemic control (O) in 8 weeks when compared to diabetes care as usual (C) with people over the age of 18 with diabetes (P)? A multi-database search of PubMed/MEDLINE, cumulative index to nursing and allied health literature (CINAHL), Cochrane Library, Web of Science, Scopus, and ProQuest Dissertations and Theses was done to answer the question in full. The databases were chosen to include peer-reviewed literature, clinical practice guidelines, and doctoral projects relevant to the topic of nurse-led diabetes management and implementation of ADA guidelines in an outpatient primary care setting. Medical Subject Headings (MeSH) terms that were included were “diabetes mellitus,” “type 2 diabetes,” “glycemic control,” “HbA1c,” “nurse-led interventions,” “ADA guidelines,” “diabetes follow-up,” “self-management education” and “primary care. Structured combinations were used for the application of boolean operators: (“type 2 diabetes” OR “diabetes mellitus”) AND (“nurse-led” OR “nursing intervention” OR “diabetes self-management education”) AND (“ADA guidelines” OR “clinical practice guideline” OR “follow-up protocol”) AND (“glycemic control” OR “HbA1c”). A good search strategy that is applied appropriately and systematically guarantees that the evidence retrieved to address the clinical question is representative, reproducible, and directly relevant. The preliminary database searches resulted in 362 records in all databases searched. 308 articles were screened for title and abstract after excluding 54 duplicates based on predetermined inclusion/exclusion criteria. Peer-reviewed English-language publications were included if they were published between January 2021 and February 2026, targeted adult populations, included nurse-led interventions or structured nurse follow-up or protocols, or showed glycemic outcomes, such as HbA1c measurements. Studies excluded from the analysis included those that did not provide measurable HbA1c or glycemic control data, and those in which pediatric populations were excluded, inpatient acute-care-only interventions were excluded, and non-clinical commentary, editorials were excluded. Database searches were supplemented by manual reference list searches of systematic reviews, clinical position statements, and publications of the ADA Standards of Care, which resulted in the identification of 11 more relevant sources. Government publications, professional association diabetes standards, and doctoral dissertations on the evaluation of nurse-led diabetes management models in outpatient settings were included in gray literature searches. Clear and objective screening processes enhance the evidence synthesis’s reliability and academic honesty. A full-text appraisal of relevance to PICOT and methodological rigor and measurable glycemic outcomes led to the selection of 20 sources for synthesis and evidence table building. Each study that was retained was assessed for methodological quality and clinical applicability using a systematic method of the strength of recommendation taxonomy (SORT) framework (Duke University, 2023). The framework focused on the outcomes of diabetes care that were important to the patient: lowering of HbA1c, prevention of complications, and avoidance of hospitalizations. High-quality randomized controlled trials, systematic reviews, and meta-analyses led to the classification of seven studies as SORT Level A. Ten studies were rated as Level B due to their well-designed comparative effectiveness research, quasi-experimental studies, and cohort investigation designs. Three studies received the clinical practice guidelines (Level C), three for quality improvement projects (Level C), and three for narrative reviews (Level C). The results of the quality of evidence provided confirmed a majority of moderate to high quality evidence for diabetes follow-up interventions conducted by a nurse and based upon ADA clinical practice standards in various outpatient settings.

Analysis of Evidence

A thorough review of the 20 studies included found consistent and converging evidence to suggest that nurse-led implementation of ADA-aligned diabetes follow-up protocols is an effective intervention to improve self-efficacy, self-management behaviors, and glycemic control for adult type 2 diabetes patients. Within investigations, effect sizes were found to be modest to clinically significant. In comparative studies, the nurse-led interventions resulted in significant decreases in HbA1C (Asmat et al., 2024; Chen et al., 2025; Koo et al., 2024), indicating an improvement in metabolic management compared to other comparative interventions (e.g., usual care). Based on evidence, structured diabetes self-management education and support showed pooled standardized mean differences of -0.468 (95% CI -0.658 to -0.279). Yimer et al. (2025), Chen et al. (2025) found mean differences between telephone-based nurse follow-up protocols and control groups across a variety of clinical populations and delivery contexts, ranging from -0.59 (95% CI -0.85 to -0.34). The following types of delivery modalities were shown to be clinically equivalent to face-to-face follow-up: Technology Enhanced Delivery Modalities, Telehealth Consultation, Structured Telephone Coaching, and Peer Supported Instant Messaging. The modalities significantly enhanced patients’ accessibility, engagement, and compliance with self-monitoring procedures. The consistency of results from various study designs and geographic settings supports the generalizability of nurse-led diabetes follow-up interventions to other settings. The gaps found in the literature that were retained were limited information on optimal protocols for follow-up and a lack of longitudinal outcome data beyond 12 months. There were also significant recurring challenges identified related to the implementation of the ADA Guidelines, such as a lack of provider knowledge, siloed workflow, and weak accountability mechanisms within the institutions. The analytic synthesis yielded four themes: ADA guideline adherence and clinical practice standards, nurse-led interventions and staff competency development, interventions for diabetes self-management education and support, and technology-enhanced diabetes care and remote follow-up protocols. Themes represent various aspects of the evidence base, and each of them provides support for the multiple approaches that are needed to achieve clinically meaningful and organizationally sustainable improvement in glycemic control. The evidence gaps identified support the scholarly contribution and relevance of implementing a structured, protocol-driven quality improvement effort in an outpatient primary care environment. A thematic organization of findings allows systematic investigation of the interrelatedness of different components of an intervention in the context of the complexity of outpatient diabetes management.

Theme 1: ADA Guideline Adherence and Clinical Practice Standards

Effective glycemic control among outpatients in primary care depends on adherence to clinical practice guidelines, and adherence sets up the organization of the care structure. ElSayed et al. (2022) found that in populations where compliance was above 89.8%, there was a significant increase in adults who achieved target HbA1c levels, and a strong correlation between non-compliance with GLP-1 receptor agonists and SGLT2 inhibitors and those who had persistently poor metabolic outcomes across the population studied. Inefficiencies in workflows, and provider lack of knowledge, were cited by Tiwari and Aw (2024) as the primary factors preventing consistent guidelines for medication therapy and consistent monitoring of therapy. The studies’ findings indicate factors at both the system and provider level that hinder successful implementation of the ADA guidelines, and factors that protocol-driven nursing interventions could help address. It can be reinforced by systematically integrating ADA-aligned follow-up as a step in the protocol of nursing care after the nursing care is given, which is guided by a systematic approach.Systematically integrating ADA aligned follow-up as a step in the protocol of nursing care after the nursing care is given, with systematic approach, can strengthen the process of translating published guidelines into measurable, consistent patient outcomes. Implementing the ADA recommended protocols for diabetes care into nursing procedures will transform recommendations for the reduction of glycemic burden into clinically relevant reductions. In a patient-centered medical home setting, Abukhalil et al. (2024) demonstrated a mean HbA1C decrease of 0.74%, p < .01, among enrolled patients when using an ADA-based follow-up pathway, and also saw an improvement in the percentage of guideline concordant anti-hyperglycemic medications written for the enrolled patients. The results were corroborated by Chen et al. (2025), who reported a 1.02% drop in HbA1c after 12 weeks, p < .001, due to structured follow-up appointments with the ADA and medication reviews conducted by nurses. The studies together provide evidence of consistent and clinically meaningful improvements in glycemia in the outpatient primary care setting associated with nurse-led follow-up using a structured approach to support adherence with the ADA guidelines. Additional structures of reinforcement, accountability, and ongoing monitoring are necessary to achieve optimal glycemic control when guidelines are adhered to. Guidelines alone interventions (no structured reinforcement) lead to heterogeneous outcomes (Sun et al., 2025). Thus, ongoing nurse involvement and regular intervals of follow-up time are required to complement the implementation of protocols. However, on a population level, ElSayed et al. (2022) found that only 23% of adults were adhering to the target HbA1c, blood pressure and lipid levels along with the criterion for nonsmoking during the 12-month period of data collection, indicating that diabetes management is complex and adherence to any single component of guidelines alone would not resolve all of the variables. While the updated guidelines were available, provider level knowledge gaps were observed for the updated diagnostic hierarchies and point-of-care testing requirements and therefore providers were not able to consistently implement the guidelines in practice (Tiwari and Aw, 2024). Furthermore, Abukhalil et al (2024) observed that implementation of guidelines had to be broad and comprehensive, not just for pharmacotherapy but in all clinical areas, as there was low adherence to preventive screening and a general lack of pharmacotherapy in patients with diabetes. Standards must be linked to a structure for ongoing improvements in glycemic control that includes structured education, continuous monitoring and follow-up, all of which are individualized on a diabetes care continuum with the nurse accountable.

Theme 2: Nurse-Led Interventions and Staff Competency Development

The nurse-led models of care are an evidence-based approach to better achieve glycemic control through continuous patient engagement and organized interprofessional coordination. Nurses’ frequent interactions with patients made them the most effective care providers, and the nurse-managed diabetes education programs were found to increase patients’ knowledge, self-management behaviors, psychological outcomes, and HbA1c levels due to continued education engagement and motivational support, confirming the effectiveness of nurse care providers (Dailah, 2024). The findings were extended by Jiang et al. (2024), who found that diabetes knowledge scores, anxiety, depression scores, and self-care activity scores were statistically significantly higher (p < .001) for patients who received nurse-led follow-up than for routine care patients at 6-months of structured engagement. Aldahmashi et al. (2024) showed that a multi-facet approach to education, which aimed to improve nursing skills, led to uniform improvements in HbA1c level, blood pressure, and lipid levels for patients with well-defined nursing roles and regular nursing education. Thus, nurse-led interventions are found to be consistently and holistically effective in patient outcomes in situations where clinical accountability for quality of care and nursing autonomy are encouraged in the work environment. Staff competencies development is a mechanism that links nursing practice to the delivery of consistent care focused on the patient in the context of outpatient care. A recent study by Aldahmashi et al. (2024) demonstrated that targeted education enhanced nurse self-confidence when using ADA protocols and led to measurable improvements in adherence to glycemic monitoring guidelines and the quality of patient education provided at follow-up sessions. A study by Abukhalil et al. (2024) demonstrated that team-based primary care with ADA protocol-based follow-up care led to a greater prescriber concordance (0.74% reduction in participants’ HbA1C), better care coordination processes, and systemic benefits. Support from nursing as a major contributing factor to the improvement in outcomes of ADA-based care was mentioned. About 22% of the hospitals reported by Dailah (2024) were without the Diabetes Inpatient Specialist Nurses, which led to a lack of knowledge and care, and reinforced the need to build competent outpatient nurses in the field of diabetes to compensate for the absence of specialist clinicians/nurses in the inpatient setting. The findings of this study were supported by Jiang et al. (2024), who found that when patients received multiple approaches for engaging them, nurse-led care with structured educational programs was significantly more successful than the control arm, even with patients receiving additional physical activity support. Nursing development funding is directly related to improved and consistent glycemic outcomes in different outpatient settings. Expansion of interprofessional coordination through primary care systems enhances the clinical effect of nurse-led diabetes management interventions via clearly defined nursing roles and functions. In Jiang et al. (2024), nurse-led programs using structured educational and multimodal engagement strategies were shown to decrease symptomatic anxiety and depression and enhance glycemic control, suggesting that nurse-led interventions could have multiple aspects when employing a holistic and protocol-driven process. Aldahmashi et al. (2024) found that nurses performed four basic functions in successfully running a diabetes program that were all associated with compliance with diabetes clinical practice guidelines and overall patient safety: education, collaborative practice, program design, and documentation review. Abukhail et al. (2024) also found that while [reception of nursing-led post-visit follow-up] in the patient-centered medical home (PCMH) models yielded systemic improvements beyond the patient visit, such as better prescribing practices and care coordination at the clinic level. Dailah (2024) expressed that nurses have the potential to offer more routine diabetes education with continuous motivation and reinforcement because they have more direct contact with the patients than other health care professionals do during office visits. If nursing is embedded and becomes part of interprofessional teams that are structurally developed, the quality outcomes related to diabetes care management are achieved by the whole team, not just one.

Theme 3: Diabetes Self-Management Education and Support Interventions

Follow-up using a nurse is most commonly used to implement the clinical recommendations in a structured program of diabetes self-management education and support to effect long-term physiological and behavioral changes. In a multi-center randomized controlled trial, Asmat et al. (2024) found that patients in a patient-centred SELVIE intervention had a significant mean decrease in HbA1c (0.25%, p = .03) as well as a large mean increase in self-efficacy (41.48, p < .0001) and in self-care behaviours (18.56, p < .0001); results from the inferior mediation analysis demonstrated that the improvement in self-care behaviour was the main driver of the improvement in HbA1c. The results were corroborated with a systematic review and meta-analysis by Yimer et al. (2025), which included 19 randomized controlled trials showing a statistically significant effect of structured DSMES programs on HbA1c (SMD = – 0.468, 95% CI – 0.658 – – 0.279, p < .001) compared to routine care, where structured DSMES reliably achieves better glycemic improvement. Programs for Diabetes Education and Control (DEC) are consistently effective for improving self-management capacity and clinical markers of glycemic control when delivered in a patient-centered way with personalized counselling and positive reinforcement. The length, intensity, and structural consistency of DSMES programs play an integral role in their capacity to result in clinically meaningful and long-lasting patient outcomes. A systematic review and meta-analysis of 34 studies including 7,603 participants conducted by Huang et al. (2024) has revealed that self-management interventions of >6 months duration have significantly greater improvements in quality of life, and that increases in self-efficacy have been found across intervention durations (95% CI 0.19–0.62, p < .001); in addition, reductions in depressive symptoms were consistently replicated in programs. Similarly, Fracso et al. (2022) corroborated their results by reporting a qualitative study that occurred in parallel, highlighting the change in self-management motives, belonging to a community, and interest in self-improvement that occurred after patients had participated in the Chronic Disease Self-Management Programme, not after receiving a brief informative intervention. By adding bi-weekly telephone coaching to nurse-led follow-up care, Chen et al. (2025) found that self-efficacy improved and BGM frequency was higher, and that this was mediated by pathways through behavioral activation. Sustainable contact, structured reinforcement, and long duration of engagement are essential design components of DSMES to achieve outcomes beyond the active intervention phase. The efficacy of the programs and glycemic outcomes among various patient populations has been consistently improved and bettered by culturally responsive and contextually tailored DSMES content. The investigators included in the study were found to be significantly different from one another, with a large heterogeneity (I² = 85.5%) between them, which was reported to be due to differences in cultural adaptation, educator preparation, and the health literacy level of the target population (Yimer et al., 2025). Our findings support those of Sun et al. (2025) in that culturally tailored modules without contextual adaptation do not appear to be as effective as culturally tailored modules that are culturally appropriate to the population being served, reflecting the cultural norms of food, medicine, and health beliefs. This was backed by Asmat et al. (2024), who found that nurse-led, theory-informed, culturally adapted interventions lead to sustainable reductions, of which 23.2% can be explained by self-efficacy, and that this behavioral mediation model explains a significant proportion of the variance in outcomes. However, the importance of culturally responsive content, culturally responsive reinforcement, and longer follow-up times is essential in achieving the best outcomes in DSMES and in ensuring that glycemic outcomes are improved equally across all patient groups.

Theme 4: Technology-Enhanced Diabetes Care and Remote Follow-Up Protocols

Utilizing channels of technology to deliver services will also create more accessible options for nurse-led diabetes follow-up care and will allow for greater scalability to meet the growing need for nurse-managed diabetes follow-up care features without compromising clinical effectiveness, as evidenced by traditional face-to-face follow-up models. The results of the systematic review of 13 studies with a total of 2294 patients conducted by Chen et al., (2025) longitudinal meta-analysis provided a fixed mean HbA1c change attributable to nurse-led telephone interventions of -0.59 (95% CI -0.85 to -0.34, p < .00001), with the optimal number of 16 contacts, each lasting 20 to 25 minutes at half month intervals, resulting in a fixed HbA1c mean change of -1.23 (p < .001). Koo et al. (2024) confirmed the findings with a real-world longitudinal cohort study with 24 months of follow-up demonstrating persistent reductions in HbA1c from an initial reduction of 1.63% at the first follow-up to 1.23% at the eighth follow-up visit for a remote home and self-care programme with telephonically based nursing support embedded in smartphone technology, maintaining an average HbA1c level of between 7.33% and 7.62% throughout the period of observation. The findings support that nurse-led technology-based follow-up care protocols are well structured through regular involvement of nurses and that patient engagement with the nurse provides clinically meaningful and sustained glycaemic control results.

Longitudinal evidence supports the assertion that technology-enhanced nurse-led follow-up care models not only achieve short-term HbA1c improvements; they also maintain gains over elongated follow-up periods much longer than normally achieved in many of the shorter trial designs. Ezeamii (2024) conducted a systematic review of nurse-led telemedicine interventions and found a statistically significant increase in chronic disease management outcomes from the use of nurse-led telemedicine compared to face-to-face visits; there was also a significant increase in access and patient satisfaction when telehealth technologies were utilized to overcome barriers associated with geographical location and/or transportation to regular follow-up visits associated with in-person follow-up care. Graue et al. Through a twelve-month evaluation of an empowerment-based interprofessional follow-up intervention, Kamal et al. (2023) found significant between-group differences in glycemia (B = -8.6 mmol/l, 95% CI -17.1 to -0.1, p = .045), as well as significant reductions in weight and waist circumference within groups; however, the qualitative data indicated that patients would have required more than the timeframe provided by the research team to develop the increased awareness into sustained action. Sun et al. (2025) reiterated the scalability of digital delivery for remote or resource-poor populations and noted that enhanced technologies promote patient engagement through structured reminders, automated messaging, and virtual consultations that increase access by removing barriers. By utilizing structured follow-up care enhanced by technology, sustained glycemic control can be achieved when protocol parameters are deliberately calibrated and maintained over adequate timeframes.

Even when positive outcomes are consistently observed, barriers to the implementation of technology-enhanced diabetes follow-up models necessitate purposeful actions to facilitate equitable and effective distribution throughout all patient populations. Ezeamii (2024) found that lacks in digital literacy, variable access to technology, and inequities in socioeconomic status continue to threaten the efficacy of telemedicine; therefore, vulnerable populations may be at greater risk of exclusion from remote care models or have limited benefits. Graue et al. (2023) found that twelve months may not be enough for remote interventions focused on empowerment to provide measurable changes in patient activation scores; therefore, supporting patients at the individual readiness to experience behavioral change may be necessary instead of rigid protocol criteria for endpoints. Chen et al. (2025) reported high heterogeneity (I² = 87%) among studies reviewed on telephone interventions, indicating variability in protocol design, patient demographics, and outcome measurement strategies, therefore hindering the ability to directly compare effectiveness estimates across studies. Sun et al. (2025) warned that due to the heterogeneity between populations in the adoption of digital interventions and varying levels of patient engagement, remote care models must be contextually adapted rather than uniformly distributed using standardized models. To provide equitable and effective technology-enhanced diabetes care, attention to the disparities related to digital access, standardizing protocols, and ensuring the provision of consistent and high-quality oversight by nursing across diverse populations is needed.

Synthesis of Findings

For each of the evidence categories, a comprehensive overall conclusion was based on the evidence. The 20 studies that qualified for inclusion in this study all showed a consistent positive direction (improvement) in HbA1c data for the diabetics across all forms of delivery models, geographic location, and study designs examined. The changes in HbA1c were quite varied, ranging from small to moderate reductions over the short term using RCTs, to clinically significant reductions (Asmat et al., 2024; Koo et al., 2024) in effective HbA1c via large structured longitudinal diabetes programs. A single intervention bundle of adherence to ADA guidelines, competency development by a nurse, patient-centered and technology enhanced follow-up will yield better and more sustainable HbA1c results than will each component individually (ElSayed et al., 2022; Sun et al., 2025). Thus, the establishment and execution of a comprehensive and multifaceted approach towards managing diabetes in outpatient settings is vital to delivering clinically important, sustainable glycemic outcomes within outpatient settings. Besides the evidence synthesis confirming that it is relevant to the proposed quality improvement project, a literature search showed that there are significant and persistent gaps in the literature that require more quality improvement in the field. First, the evidence synthesis methodology evolved from simply following guidelines to meta-analytic synthesis, with no literature extant that exceeded 12 months of follow-up, few readily standardized follow-up frequency and/or data acquisition protocols, few cost-effectiveness analyses, and not much attention given to culture-specific considerations related to technology-enhanced service delivery model access. Thus, there is a need for more contextually relevant multiple implementation studies, which should be subjected to methodological quality assessment through rigorous evaluation, to further assess outcomes in a range of outpatient settings (American Diabetes Association, 2024). Evidence gap closure will further the body of literature and help to meet practical objectives related to nurse-led, sustainable chronic disease management.

Implementation Plan

For a structured quality improvement intervention, a coherent, systematic, sequential plan should be developed and carefully followed to maintain the fidelity, replicability, and uniformity of the intervention throughout all phases of the project. Implementation was carried out over 8 weeks, with weeks one and two in which baseline measures such as HbA1c results, follow-up completion rate for patients, and the nursing staff competency scores (based on competency checklists) were collected from the electronic health record (EHR) system to serve as pre-implementation benchmark measures. Baseline measurement of the rigorously collected data is essential for the quality improvement frameworks to ensure that effective intervention and significant clinical change over time are measured. (Lighterness et al., 2024). Pre-intervention benchmarks are crucial for enabling project teams to gauge gaps in the ability to meet the project goals and identify realistic targets, as well as to best measure progress toward the organization’s goals (Willmington et al., 2022). In weeks 3 and 4, all of the structured staff education was completed, including nursing participants’ instructional sessions on Diabetes Pathophysiology, the ADA guidelines for diabetes management, principles of medication reconciliation, and documenting into EHRs via simulation and case-based learning, as well as peer mentoring workshops. All nursing study participants completed a competency checklist and a knowledge assessment before and after completing the education sessions to ensure that each member of the nursing staff had at least an 80% competency level before they gave the patient part of the intervention. The graduated instructional/training approach ensured each step of the intervention would have a level of accountability, consistency, and measurable fidelity throughout the eight weeks of implementation. The remaining weeks of fidelity required continuous monitoring, and PDSA methodology was applied in structured interprofessional collaboration to make iterative modifications to maintain fidelity of implementation. Structured bi-weekly patient follow-up visits were done in weeks 5 and 6, as well as ongoing telehealth with patients who struggled to be able to leave the house, and midpoint competency assessments of the nursing staff with adaptive modifications to the educational delivery strategies when needed, as protocol compliance and/or patient engagement were found to be lacking. The adoption of real-time performance monitoring during quality improvement programs is supported by robust evidence to identify challenges early in the quality improvement program and to help effect responsive data-driven performance corrections (Lighterness et al., 2024). Structured interprofessional collaboration and communication systems are common elements in the sustainment of quality improvement in primary care settings and chronic disease management, especially with diabetes (Sze et al., 2025). Tracking systems were actively managed and monitored throughout weeks 7 and 8 to ensure follow-up visits, ensure that patient visits were not overdue, centralize HbA1c data, and provide performance dashboards to monitor process and outcome indicators in real-time at the practicum site. During week eight, patient-related outcome (glycemic, competency, and behavioral) data at baseline and after follow-up activities were reported and extensively reviewed during a comprehensive outcome analysis process, as was the completion of follow-up activities for each patient and compliance with the processes. Structured, iterative, and an eight-week implementation plan ensured that the intervention was responsive to evidence-based practice and able to achieve clinical improvement in glycemic control for the practicum site.

Conceptual Model

Quality improvement frameworks establish the groundwork for the iterative systems and iterative cycles of learning/adjustments needed to implement, assess and improve evidence-based interventions. The PDSA model was selected to guide the project as it was known to have successfully implemented chronic disease management in the past (BARR & Brannan, 2024). The PDSA is a theory of improvement that stems from the work of W.E. Deming and centers on incremental iterative learning/refining in the context of a complex system. Quality improvement frameworks that involve repeated evaluations cycles are consistently effective with chronic diseases (Endalamaw et al., 2024). During the ‘plan’ phase, the team identified that the key area to focus on with adult patients is poor glycemic control, as well as identifying measurable outcomes and developing a structured ADA diabetes follow-up protocol and staff competency training programme. The ‘do’ phase took the intervention to action by simulating staff training sessions, weekly patient follow-up visits (including telehealth), and activated EHR dashboards through all phases of the intervention. The evidence-based, iterative nature of PDSA will ensure that all decisions made for implementation will be driven by measurable data and support the overall goal of standardizing nurse-led care and achieving a more sustainable glycemic level. The PDSA phases gave us the evaluative and adaptive aspects of the PDSA model to ensure fidelity/quality of the intervention and maximize learning during the intervention period of 8 weeks. The ‘study’ phase involved making bi-weekly analyses based on formative information, including HbA1c trajectory, staff competency scores, completion rates for follow-up visits, and documentation errors in the EHR, to assess progress toward the goal thresholds and identify adaptive strategies to address barriers being identified. The iterative nature of the PDSA model allows healthcare teams to adapt to challenges that arise while implementing the model, and to use measured evidence to inform the modifications to the original PDSA protocol (Abuzied et al., 2023). The effectiveness of PDSA cycles in structured nurse-led diabetes management programmes has been shown to result in a reduction in the mean HbA1c of 0.5%-1.0% by systematically testing the workflow and refining the protocol through multiple iterations, compared to the current project (Konnyu, 2023). The ‘act’ phase was successful in applying lessons learned from formative analyses to improve the way that adult education content was delivered, implementing systematic changes to workflow scheduling processes and improving the telehealth outreach to patients who had been seen to be less engaged, which will be embedded into the routine clinic workflow after implementation. The adaptability of the PDSA framework, the fact that the process is measurable, and the built-in feedback mechanisms lend overwhelming support to the decision to use PDSA as the quality improvement methodology for the project and as a way to effectively recreate, measure, and maintain improvements in outpatient glycemic management.

Data Collection and Analysis

Choosing the appropriate design and designing the data collection methods carefully are both essential to obtaining meaningful data from a quality improvement project that is clinically interpretable and evidence-based. The project’s design was a pre-post evaluation to gather baseline and follow-up data for all 20 adult type 2 diabetes patients and 8 nursing staff members at the facility. The pre-post design is one of the most widely used and accepted designs for evaluating and measuring the effectiveness of a structured intervention on a pragmatic and feasible time frame, as it allows comparing results for the same group of participants before and after a fixed time period (Klaic et al., 2022). Pre-post design quality improvement projects have consistently been shown to be sufficiently sensitive to demonstrate clinically important changes in patient outcomes in outpatient chronic disease management (Lee et al., 2022). All measures taken post-intervention were compared against a specific, measurable baseline, which included baseline measures of HbA1C, follow-up visit completion, and nursing staff competence testing before the intervention began. Before the project’s initiation, the project was approved by the IRB, and all HIPAA compliance procedures concerning participants’ confidentiality, coding, and coding of the name for use in data collection and analysis were adhered to. Credible, comparable, and clinically interpretable outcome evidence was collected through the project’s strong pre-post design and on the use of standardized baseline data extraction, based on rigorous quality improvement research methods. Identifying appropriate metrics and employing valid/consistent instruments of record are essential prerequisites for credible and dependable evidence of quality improvement, for both clinical and non-clinical operations. The main outcome was the mean baseline and week 8 HbA1C level, determined using point-of-care laboratory testing embedded within the clinic electronic health record (EHR). The clinically significant improvement in the patient’s HbA1C level was defined as a reduction of at least 0.5 percent in the patient’s HbA1C level after the structured follow-up procedure set by the American Diabetes Association (Tiwari & Aw, 2024). Both pre and post-project quality improvement studies need to employ measurement instruments that have been determined to possess high content validity and measurement reliability for outcomes to be a valid basis for determining the effectiveness of a structured intervention. The validated and reliable outcome measurement tools were essential to the evidence base of the quality improvement entity for clinical decision making, clinical protocol revision, and for planning sustainability (Gabriela et al., 2025). Secondary outcome measures were: Competence test scores of the nursing staff (using a validated diabetes management competency assessment instrument, administered before and after the training). Completion rates of follow-up visits, as recorded in the electronic health record system through the scheduling audit log. Patient engagement in self-management of diabetes, including by using structured behaviour checklists for assessing insulin adherence and frequency of blood glucose monitoring. Before implementation, all measurement instruments were assessed by an expert panel to ensure content validity and provided guidelines for using the same data collection processes at each of the measurement time points over the course of the 8-week project to ensure that the outcomes collected were reliable and valid. The wide range of primary and secondary outcome measures will give a full multidimensional perspective of the intervention across the glycemic, competency, and behavior domains.

Ethical Considerations

Ethical issues must also be carefully addressed when designing a quality improvement project, as they must not only consider the protection of participants and the confidentiality of data, but also ensure institutional compliance at each stage of the project – planning, implementation, and evaluation. The project was assessed by an Institutional Review Board (IRB) before implementation, and the findings were that the project was not determined to be “Human Subjects Research. Thus, the project was determined by the IRB not to involve each participant in full IRB review, as it aimed to enhance practice, not to quantify generalizable knowledge (APRN, personal communication, November 2025). Health care institutions will frequently classify quality improvement projects as Not Human Subjects Research if they aim to improve an existing health care process, are using clinical data that was already collected and reviewed in the past, and will implement evidence-based practices. Compliance with standards of institutional review and federal ethics guidelines is not enough to meet ethical responsibilities in the conduct of a nurse-led quality improvement project. Ethical compliance also calls for adherence to all data collection methods and procedures, recruitment/consent process, and outcome reporting processes that meet the standards for IRB review – all Collaborative Institutional Training Initiative (CITI) certification requirements must be fulfilled before the project leader’s ability to conduct quality research that is in accordance with the ethical standards for practice in the clinical setting (APRN, personal communication, November 2025). Based on the IRB determination and completion of the necessary CITI certifications, ethical guidelines were followed during the implementation of the project (8 weeks) for all data collection, analysis, and reporting activities. Compliance with the agreed-upon ethical practices in the implementation of the project enabled the development of trust among the participants, the integrity of the institutions, and scholarly credibility in the implementation of the project and the outcomes data. A fundamental part of the ethical duties of all project participants is to ensure that patient information and records are protected and that all project documents and information will be kept in a secure location, systematically throughout the project. All identifiers of patient information that were gathered and used during the process of the quality improvement project were replaced with unique coded identifiers before any data was extracted, analyzed or reported, and before any documents, results or dissemination of materials were created during the 8-week implementation phase of the project, so no individual patient would be identified from the documents, results or dissemination of materials created during the project’s implementation phase of 8 weeks. The HIPAA requirements are that all individually identifiable health information (IIHI) that is gathered for the purpose of a quality improvement project in a health care setting be de-identified, securely stored, and available to only authorized personnel (CDC, 2024). De-identification of IIHI in quality improvement projects is a vital ethical measure to respect people’s privacy rights and meet federal requirements for safeguarding confidential information (Lulamba et al., 2025). During the 8-week implementation period (APRN, personal communication, November 2025), all electronic data and competency assessment records were kept on encrypted, password-protected devices accessible only to the project lead, site preceptor, and project-designated data personnel, and all hard copy data were kept in locked cabinets accessible only during the clinic period. All de-identification processes were checked weekly to ensure adherence to all de-identification procedures, and where any deviations were noted from adherence to established compliance procedures, it was rectified immediately to ensure data integrity and adherence to institutional procedures. All data security and de-identification considerations were carefully applied, and it was clear that the project was conducted following the highest standards of ethical practice and that there was credible evidence to validate a sustainable improvement in the quality of outpatient diabetes management.

Project Results

Clearly presenting the clinical significance and organizational impact of the QI to all stakeholders in an organized, systematic, and evidence-based manner during the presentation of the project results is important. The clinically meaningful mean change in HbA1c from baseline to post-intervention was 1.52 percentage points, whereas the success threshold that was set in advance of implementing the QI intervention was 0.5 percentage points. A total of 89.2% of scheduled follow-up visits finished in the course of the eight-week implementation of the QI intervention, which indicates that patients actively engaged in the structured ADA diabetes follow-up protocol. Moreover, patients and nursing staff have completed the bi-weekly visit schedule, and it has been confirmed that the existing operations are able to support the bi-weekly visit schedule. The glycemic benefits were significant, but only 10% of the enrolled patients met the full target at the end of the 8-week intervention period, so many other factors were likely to play a role in achieving the full targets, including a longer intervention period than the practicum. In general, the findings on the primary outcome support the hypothesis that a standardized, ADA-compliant, nurse-led follow-up protocol led to clinically and dimensionally meaningful improvement in glycemic control at the project site in adults with type 2 diabetes. The broad and multidimensional effect of the structured intervention is further supported by the secondary outcome results in the eight-week duration of the structured intervention in the domains of nursing staff competency, patient self-management engagement, and nursing staff delivery fidelity. Following the completion of the structured training program, nursing staff competency scores increased dramatically from a mean pre-training score of 59.0% to a post-training mean of 85.4%; seven of the eight nursing staff members reached the minimum 80% competency threshold, necessary for independent protocol delivery (APRN, personal communication, November 2025). Self-management engagement scores were 7.4 out of 10 on average at eight weeks; 70% of patients achieved 100% medication adherence over the eight-week structured intervention period; and 65% of patients adhered to routine daily blood glucose monitoring throughout the eight weeks. Transportation barriers were identified as a surprise in this study, as patients attended their clinic visits 67% of the time, which hurt the glycemic trajectory for some enrolled patients and underscored the clinical importance of the inclusion of integrated telehealth as an alternative and equitable way to provide these patients with durable outcomes as part of the structured diabetes follow-up protocol. The secondary outcome results were generally favorable and consistent, showing improvement in the clinical, operations, and behavioral measures; thus, a diabetes follow-up protocol that was structured and designed to be ADA-compliant led to dimensional, meaningful changes in practice at the project site. The project results are included in the appendix.

Project Outcomes

Evaluation of the extent to which the project achieved its aims provides data concerning the value the entire program holds for moving clinical practice forward and for its use as an evidence-based intervention. The most important goal of the project, to reduce HbA1c, was achieved, resulting in a reduction of 1.52 percentage points (from baseline) and exceeding the stated successful threshold (0.5 percentage points) by a wide margin. The structured ADA diabetes follow-up protocol completely proved clinical significance with a clinically significant and consistent reduction in glycemic parameters from baseline after 8 weeks of implementation. The previous studies that identified similar patient populations in nurse-led (protocol-driven) diabetes follow-up care revealed a consistent decrease in HbA1c ranging from 0.25% to 1.69% across similar outpatient primary care organizations, which not only showed similar results as the outcome of the QI project but also had a larger effect size compared to the QI literature (Asmat et al., 2024; Koo et al., 2024). The results of the nurse-driven self-management education programs showed that nearly all of the patients’ self-care behavior and nurse competency scores were improved when these programs were delivered in a structured and protocol-driven nurse follow-up process (Dailah, 2024). In addition to the primary outcome of increasing competency of the nursing staff, there was a significant measurable T-test difference in the number of participants (7 out of 8) who achieved a minimum of 80% at the end of the training, and although at the end of 8 weeks, only 70% of all patients enrolled in the pilot program had an HbA1c < 7%, it is believed that with continued implementation over a longer period than the duration of the practicum, the target will be achieved for all patients. There were also several unintended findings such as patients experiencing transportation barriers that affected the ability to attend all planned in-person visits (67% completion of in-person scheduled visits), which limited data on the patients and mentioned earlier, indicated an urgent need for the implementation of telehealth for follow-up with patients so there is an equitable and accessible way to deliver continued nurse-led follow-up care to patients who may have experienced barriers to visiting the healthcare organization in person. The assessment of strengths, limitations, opportunities, and barriers of a quality improvement project also gives an evaluative frame to both internal and external applicability of a project to similar clinical settings. High staff competency gains, adherence to the follow-up system (89.2%), EHR documentation, interprofessional clinical team collaboration, and the use of the nationally recognized ADA clinical practice guidelines were the main strengths of the project. The elements together raised the credibility of the intervention design. Quality improvement projects that demonstrate high fidelity to intervention protocols (i.e., following the procedures as described) and systematic competency development and EHR monitoring have a much more reliable and generalizable outcome, which validates the methodological strengths of the current project (Endalamaw et al., 2024). Initiatives to improve quality are multi-disciplinary and structured, and follow-up protocols have been validated, and they are monitored by EHR, and the interventions are ongoing and positive (Ebbers et al., 2023). The quality improvement project had a few limitations that included an implementation window of only 8 weeks to assess the sustainability of the HbA1c improvements, only 8 nurses participating in the project, reducing statistical power, and a single clinic site that reduced the generalizability of findings from other clinical sites. As the project is implemented, opportunities arise to expand the standardized ADA follow-up protocol to other patient populations with chronic diseases treated at the outpatient clinic, to use peer-supported digital messaging to further increase patient engagement between clinic visits, and disseminate project results through peer-reviewed publications through this process to build upon the evidence base. Maintaining practice change is the process that follows the quality improvement project aimed at maintaining the practice change, with intentional organizational planning, formal organizational commitment to sustaining the process of practice change, and systematic integration of the effective elements of the intervention into normal clinical routines and professional accountability systems. The clinic will incorporate the structured ADA diabetes follow-up protocol into the clinic’s Routine Nursing Workflow Procedures to maintain the protocol. EHR dashboards, automated appointment reminders, and fidelity checklists will continue to be infrastructure as a permanent part of the protocol to ensure adherence to the protocol (APRN, personal communication, November 2025). Structured outpatient interventions that improved glycemic control should be monitored, adjusted, and followed up for at least a year after implementation to ensure that intervention changes in practice are now firmly integrated into the organization’s culture and clinical processes (Jahed et al., 2025). Successful chronic disease management protocols show the highest level of sustainability when the essential elements of successful protocols are codified and formalized.Key components of successful chronic disease management protocols are best formalized by adoption of policy and are most sustainable (Endalamaw et al., 2024). The Diabetes Protocol Coordinator will be added to support outcome sustainability, as well as re-assessing nursing competency every 3 months (APRN, personal communication, November 2025) at the end of each quarter in relation to the EHR dashboard metrics. The results of QIP will be disseminated through internal organizational reports, conference presentations, and published in peer-reviewed journals, which will help reinforce the organization’s diabetes follow-up standard and aid future replication in similar OPC settings that care for a diverse adult population.

Recommendations

Evidence-based quality improvement efforts will yield new insights that will be relevant beyond implementation and will inform future nursing research and practice. Future recommendations are to continue the intervention for 12 months to determine the sustainability of the HbA1c percentage post eight weeks of practicum. Furthermore, the protocol needs to be expanded to other chronic disease populations in the same outpatient setting, further boosting the impact of the organization and allocation of resources. Multicenter replication studies would be beneficial to determine the effectiveness with larger and more varied nursing populations in the future. Another research priority is cost-effectiveness analyses, which quantify the number of hospitalizations avoided per unit of follow-up. Peer-supported digital messaging platforms will enhance engagement and self-management support between care visits (Nagra et al., 2024). Culturally responsive curriculum development and digital equity research could be used to identify access gaps for under-resourced communities (Martinez et al., 2023). The continued support for structured nurse-led diabetes follow-up programs will be one of the most significant means of improving glycemic equity and enhancing the quality of outpatient primary care services to a diverse adult population.

Summary

An important tool for reaffirmation of the clinical importance, relevance to the organization, and scholarly contribution of the clinical intervention implemented in clinical practice is a summary of the most important takeaways from a QI project. After 8 weeks, the ADA diabetes follow-up protocol led to a clinically significant reduction in HbA1c by 1.52 percent, competency scores of nursing staff rose from 59.0 percent to 85.4 percent, and the percentage of patients who adhered to follow-up was 89.2 percent. As a result, the adoption of the ADA protocol in clinical practice has led to the achievement of three key areas of improvement—glycemic control, nursing productivity, and follow-up compliance—all of which are measurable. Implementation efforts have progressed the clinic’s organizational mission of delivering evidence-based, patient-centered, and accessible primary care by developing a consistent diabetes follow-up process, making it easier to coordinate interprofessional care, and implementing EHR-integrated monitoring processes as a new, standard pathway for routine clinical work. Project results aligned with the clinic’s strategic goals of improving care delivery based on value, quality in chronic disease management, and health equity goals for patients living in a variety of urban communities in the clinic’s Practicum site. Finally, the implementation of the nurse-led protocol using the ADA can be replicated and expanded to other similar ambulatory primary care practices and will help to sustain glycemic improvements in similar clinics/ambulatory care settings. Finally, interprofessional, organisation-based evidence-based QI projects deliver important and sustained clinical improvements, which are congruent with national standards of excellence in chronic disease management and the organization’s mission.

Related assessments for this class:

NURS FPX 9030 Assessment 1
NURS FPX 9030 Assessment 2
NURS FPX 9030 Assessment 3
NURS FPX 9030 Assessment 5