Student Name
School of Nursing and Health Sciences, Capella University
NURS 9030
Dr.
July, 2026

Introduction

Failure to achieve adequate glycemic control in adults with type 2 diabetes (T2DM) is a major practice gap in outpatient primary care, as there are no standardized, protocolized pathways for follow-up to allow for optimum opportunities for diabetes education, medication review, and preventable complications. Glycemic control was suboptimal, with 42% of adult patients having HbA1c > 9% and only 36% having an HbA1c < 7%, which is well above national standards, showing that about 22% of U.S. adults with diabetes have poor glycemic control (Adjei et al., 2025; APRN, personal communication, November 2025). Although the American Diabetes Association has clinical practice guidelines in place, there are still barriers to their implementation in primary care settings, including staff competency, structured patient education, and nurse-led follow-up care. The project’s PICOT question is: With the diabetes follow-up protocol (I) from the ADA, compared to current practice (C), what are the effects on glycemic control (O) over 8 weeks (T) for nursing employees caring for adult patients who have diabetes (P)? A structured follow-up process that is ADA compliant, along with staff competency building and patient self-management education programs, will result in clinically significant glycemic improvements while moving forward with evidence-based chronic disease management in outpatient primary care.

Practice Problem

Chronic disease management within the outpatient primary care setting should be systematic, evidence-based, and overcome the chronic gap in glycemic control among adults with type 2 diabetes and published health system targets. The outpatient primary care clinic site-level data revealed that 42% of adult patients had an HbA1C level >9% and only 36% had an HbA1C level <7% (APRN, personal communications, November 2025). The results of the national level indicate that almost 22% of all adults with diabetes do not have good glycemic control, and nearly 45% of adults with diabetes globally have not achieved an HbA1C level of < 7%, showing that site performance significantly exceeds diabetes-related health system benchmarks (Adjei et al., 2025; Dinavari et al., 2023). A significant proportion of adults in the USA and Europe, in fact, one in four, still have an HbA1c > 9% due to their very poor metabolic control (Gomes et al., 2022). Poor glycemic control among adults who attend outpatient diabetes clinics is due mainly to behavioral and demographic factors, which adds to the significance of early identification of those who are at higher risk for poor glycemic control and the use of structured clinical intervention to improve glycemic control (Karmakar et al., 2025). The quantitative data gathered from the site provide a measurement to support the quality improvement intervention at the practicum site for a specific intervention. A full review of existing workflow and process flows, staffing levels, and care coordination within the clinical setting will be needed to determine the appropriate causal factors behind suboptimal glycemic control. During the project-site audit of charts and documentation of EHR, significant core process failures were identified that resulted in sub-optimal glycemic outcomes, including inconsistent scheduling, limited structured follow-up, and variability in delivery of education (APRN, personal communication, November 2025). No standardized, protocolized follow-up pathway resulted in inconsistent use of EHR reminders, ad hoc scheduling, and no multidisciplinary coordination to ensure timely medication adjustments and education tailored to patients at the highest risk for complications (APRN, personal communication, November 2025). Follow-up visit completion and EHR documentation audit further revealed systemic problems with visit scheduling and proactive outreach to patients (APRN personal communication, November 2025). Previous interventions that attempted to improve diabetes outcomes by providing general education sessions and occasional telehealth follow-ups were inconsistent in both delivery and evaluation of content, so that the quality of teaching and adherence to the content were inconsistent, and patients may not have fully understood the content (Dailah, 2024). As such, a thorough needs assessment confirmed that the identified practice gap was due to the absence of a follow-up pathway that was protocolized. For a quality improvement effort to be worthwhile and to receive timely and systemic attention, it will need to take a big enough bite off the affected stakeholders to merit that attention. Key stakeholders affected by current glycemic gaps include nursing personnel, people with diabetes, and organizational leaders, who are known to increase the likelihood of hospital admissions, higher use of health services, and long-term complications from poorly controlled diabetes, like heart disease, neuropathy, and preventable hospitalizations. The results clearly suggest that the early implementation of effective evidence-based interventions was not clinically warranted and that nurse-led interventions—whether structured or not—can significantly reduce HbA1c (4.4–9.9 percent) and improve adherence outcomes in all outpatient primary care (OPPC) settings (Sun et al., 2025). There is a national lack of continuous glycemic control, especially for those who are vulnerable and low-income, and an urgent need for intervention through standardized methods at the project site (Centers for Disease Control and Prevention, 2024). Therefore, and consistent with the site’s mission of accessible, evidence-based primary care, a practice gap was identified, and it became a clinical need and an organizational 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 was an outpatient primary care clinic in New York City that was the site of the project. A wide range of adult patients in the clinic, including patients from many cultural and socioeconomic backgrounds. There are an estimated 60% of patients at the clinic with long-term issues like diabetes and hypertension (APRN, personal communication, November 2025). The clinic has been equipped with six examination rooms, as well as two private areas for counseling and telehealth, and virtual business capabilities. There are six healthcare professionals (nurse practitioners, medical assistants, a care coordinator, and a health educator) and some office staff managing patient care and the workflow requirements associated with patient care. The clinics’ mission is to promote better health in the community by offering preventive health programs and evidence-based primary care services that are accessible to the community. Therefore, the clinic was a suitable place for a structured quality improvement project of diabetes. Reading about the context of an organization in the practice where the project took place will be useful to the reader to help them get a sense of why a quality improvement project is a timely and appropriate response to a clinical issue. The clinic focuses on health education, continuity of care and chronic disease management. There is an opportunity to implement a structured process for diabetes follow-up with a minimal reorganization (APRN, personal communication, November 2025), with a focus on health education, continuity of care, and managing chronic conditions. The clinic adopted electronic health records to facilitate patient records, appointments, and progress monitoring. The standardized approach would simply add to the existing system to educate patients and reinforce medication, without taking time that would otherwise be needed to create a new one. Leadership identified it was a gap in practice and decided to make this project a priority as it could have both clinical and potential financial implications. Leadership saw glycemic stabilization as a way to help improve the organization’s performance metrics for quality and compare with value-based care and patient satisfaction. The project fit existing organizational strategic priorities, which established the “fit” of the practicum site for the quality improvement intervention. The process needs to be understood to establish how it has contributed to poor glycemic control outcomes at the practicum site, hence the need to systematically review diabetes management before the project’s launch. The nursing staff’s primary method of diabetes care and education was through their routine visits in the office, with general diabetes counselling provided verbally, but there was no standardized or structured follow-up of the two ways of providing diabetes care. There were problems with the lack of a structured follow-up process, diabetes education provided, and there was no clear communication of diabetes self-management strategies between patients and nurses. The significant process flaws that were observed included the following: Ad hoc scheduling and rescheduling; Untimely use of EHR reminders; A lack of multispecialty coordination; and the lack of adequate review of patient follow-up data, which would have allowed timely medication changes and targeted patient education to those at highest risk. Patients who have unstructured diabetes care processes in outpatient care have shown worse glycemic outcomes and lower adherence to recommended self-management behaviors for diabetes over time (Heise et al., 2022). In addition, a standardised and implemented follow-up protocol, and the integration of this protocol into EHRs, has been demonstrated to decrease missed visits, delayed time to intervention, and quality of diabetes care (Wang et al., 2025). The need for an evidence-based diabetes follow-up protocol intervention at the clinic was validated with completion of a needs assessment, which included baseline data extraction, staff interviews, chart auditing, and EHR auditing data. Process failures are used to highlight the need for a protocol-based program of diabetes follow-up at the practicum site.

Project Population

The project’s population must be clearly defined to ensure the meaningful and measurable impact of quality improvement interventions that are effectively targeted. 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 members of the nursing team who participated in the project had a variety of educational backgrounds, clinical experience, and professional experiences, making there not be one common way of managing diabetes or providing patient education. In order to achieve meaningful progress in competency levels and follow-up of the diabetes process of care, there had to be at least 8-10 nursing staff members participating. A detailed profile of the nursing staff was done before designing the quality improvement intervention that provided a framework to target, develop, and implement a competency-based and feasible intervention in order to achieve quality improvement. The example described characteristics common to the nursing team, which gave the basis for the clinical and professional environment that was set up for the implementation of the standardized diabetes follow-up intervention. All nurses involved in the project were registered nurses (RN) or nurse practitioners (APRN) who were actively engaged in direct care of adults with type 2 diabetes within a nurse-led care model focusing on education and self-management support and chronic disease follow-up as core components of the nurse’s role (APRN, personal communication, November 2025). Before intervention, nursing staff had a range of confidence, knowledge, and implementation of various diabetes care guidelines, and a baseline competency score of 59% meant there was a need for an integrated, structured educational program. The multi-disciplinary nursing team that participated in the structured competency development program included three nurse practitioners, two medical assistants, one care coordinator, and one health educator. The commonalities of the nursing staff members offered a solid ground to create a quality improvement program for the intervention, the ADA follow-up protocol. By clearly defining inclusion and exclusion criteria for the nursing staff to participate in the project, the project could preserve its population focus, and project activities would contribute to the population improvement goals. The inclusion criteria for the project were that the nursing staff member had to be responsible for providing care to an adult with a type 2 diabetes diagnosis, be responsible for patient education about diabetes, be responsible for medication management of diabetes, and/or provide diabetes-related follow-up as part of their normal, routine clinical functions at the clinic (APRN, personal communication, November 2025). All of the above duties must be performed by the nursing staff, and they must be actively involved at the project site during the entire eight-week implementation period, with active involvement in clinical provider responsibilities that relate to the ADA follow-up protocol objectives. Administrative nursing staff (excluding direct patient care), nursing staff (support roles), and nursing staff who are employed on a temporary/short-term basis (excluding adequate direct patient care) were not considered as participating in the project. The inclusion criteria and exclusion criteria for the project greatly enhanced the internal validity of the project and ensured that the results obtained from the structured intervention would reflect the impact that the structured intervention had on the nursing population, which was targeted for participation in the project.

Evidenced-Based Interventions

Quality improvement programs need to include several components to achieve greater and more sustained improvement in glycemic control than programs utilizing a single component. The literature indicated that a combination of approaches that maintained fidelity and outcomes through scalability, cultural tailoring, integration of EHR, and iterative measurement was supported. The project adopted the diabetes follow-up protocol recommended by the ADA to help standardise the diabetes care processes during the eight-week implementation period. Structured instruction on diabetes pathophysiology and effective use of EHR features to monitor outcomes, improve patient engagement, and boost adherence were provided to healthcare providers (Fracso et al., 2022). The educational plan included simulation training, case-based learning, and peer mentoring sessions to ensure real-life application of evidence-based diabetes management techniques (American Diabetes Association, 2024). Competency was assessed via teaching observations, performance checklists, and knowledge assessments to ensure participants could confidently use standardized follow-up procedures and use validated patient education resources. To maintain the initiative, staff members’ education was considered to be critical to ensuring that all involved staff members had a shared sense of accountability, consistency in clinical practice, and a culture of continuous quality improvement (Dailah, 2024). To assess the impact of the training and to identify obstacles, as well as to share best practices, regular refresher sessions, peer discussions, and feedback cycles were incorporated for the nursing participants. In the absence of evidence to support the use of monthly follow-up appointments, biweekly appointments were chosen because they have been proven to significantly lower HbA1c in quasi-experimental outpatient settings (Kerari et al., 2024). The ADA guidance highlighted team-based iterative care, which directly matched the project’s goal of implementing the structured 8-week intervention, but made local adaptations based on health literacy and resource differentials in the patient population to ensure its applicability to the local context (American Diabetes Association, 2024). The systematic translation of the ADA standards into a clinic workflow structure gave the structure needed to see measurable glycemic improvements over the entire period of implementation. A multidisciplinary team-based approach was utilized to ensure clinical responsibilities were divided among clinicians, care coordinators, and the health educator, and to ensure that everyone was receiving an equal share of the workload. Interprofessional role distribution in population-level diabetes care was clinically substantiated by the consistent decrease in hospitalizations and increase in adherence with team-based models (ElSayed et al. 2022). The addition of competency-oriented team training to the clinical team enhanced the level of coordination and fidelity of implementation within the clinic across all roles of the clinical team (Samardzic et al., 2020). Multidisciplinary interventions were more effective than single-provider educational interventions in achieving broader system-level changes in the studies conducted (ElSayed et al., 2022; Samardzic et al., 2020). But in smaller clinics, with smaller staffing levels and resources, scalability was limited with no strategic plans to reallocate resources. The structural element of the multidisciplinary team-based approach is, therefore, a key component of the intervention design, which assisted in delivering a consistent and equitable protocol throughout the project site. Patient-centered self-management programs were highlighted as the key interventions for promoting self-efficacy and glycemic control outcomes among the all-encompassing population of patients enrolled. The multicenter randomized trial by Asmat et al. (2024) found that HbA1c levels were significantly lowered and that self-care practices were improved in people with diabetes who received structured PCE on a consistent basis. Fracso et al. (2022) used a phenomenological approach that is used to describe mechanisms of empowerment using peer support and personalized goal setting for vulnerable people. Both reviews identified significant effect sizes, but noted inconsistencies in how the programs were implemented and measured by the studies that included the samples (Asmat et al., 2024; Fracso et al., 2022; Huang et al., 2024). It was therefore decided to add tailored curricula and fidelity monitoring so that the interventions could be as effective as possible with the various patient populations that were treated at the project site. Patient-centered self-management education was the central process by which nurse-led visits led to important gains in glycemic control and lasting behavioral change. Telehealth follow-ups and automated EHR reminders were implemented to boost accessibility and adherence among those who are not able to commute or have limited mobility. In Ezeamii’s study (2024), he recorded the progress of telemedicine systems in each country and their improvements in appointment attendance and remote monitoring. However, digital access gaps and health literacy levels were important factors that shaped the effectiveness of telehealth across socioeconomic groups. Telehealth was found to have similar short-term glycemic results when combined with structured follow-up when compared with in-person visits (Ezeamii, 2024; ElSayed et al., 2022). The EHR-based tracking systems were used to schedule follow-up visits and to identify overdue visits, as well as to centralize HbA1c data across the project site. Documentation accuracy was enhanced, and provider teams found monitoring of outcomes more easily possible with the use of web-based tools, as reported by Okemah et al. (2023). Comparative results indicated EHR prompts were more effective in enhancing adherence to protocolized visits than passive reminders alone (Okemah et al., 2023; ElSayed et al., 2022). Implementation necessitated training investments, re-engineering of the work, and regular audits to ensure data quality and utility throughout the intervention period. The ability to integrate EHRs allowed for scalable monitoring, and the direct linkage of EHRs with the project’s outcome measurement objectives matched the project’s outcome goals. To correct for language barriers and culturally specific self-management beliefs of the enrolled patient population, culturally tailored education interventions were offered. When cultural dietary preferences and family engagement strategies are part of interventions, greater improvements in HbA1c were reported by Wadi et al. (2021). To make personalized medicine more relevant in rural and urban practice, Goetz and Schork (2020) highlighted the principles of personalized medicine. Culturally targeted education showed greater lasting behavior change than generic education approaches with a wide range of populations. Simulations were provided to staff to support teaching and implementation of diabetes education protocols. Knowledge gains and improved performance on patient education have been shown after web-based faculty training modules, as was shown by Okemah et al. (2023). Few studies compared didactic sessions to hands-on learning experiences that were simulated and found that the hands-on learning experience had larger practical skill retention (Bisbey et al., 2021; Dailah, 2024). The project thus focused on simulation, watching demonstrations, and competency checklists to sustain staff competency during the project implementation. Within each follow-up appointment, behavioral goal setting and motivational interviewing techniques were integrated to facilitate patient-centered behavior change and ongoing lifestyle changes (Huang et al., 2024). Structured follow-up protocol incorporated culturally responsive education and behavioral strategies, which yielded continued relevance, equity, and consistency of intervention delivery regarding the self-management needs of enrolled patients. Programs to support self-management through peer mentoring and group support sessions were introduced to capitalize on shared experience and social reinforcement for continued engagement in self-management. Respondents of the study conducted by Fracso et al. (2022) reported that they had grown more confident, self-efficacious, and better able to solve problems as a result of group interactions that were structured on a regular basis. Group interventions led to better sustained behavior change, peer accountability, and improved knowledge more quickly in individual studies. Throughout the project, weekly data were reviewed and adaptations made to maintain fidelity and speed up learning (Lin et al., 2022). However, these factors, such as device costs, data security, and patient engagement, have made widespread adoption difficult in smaller practice settings. Strategies involved targeted implementation in engaged patients and linkage to EHR systems increased the utility and limited the resource burden during implementation. Peer mentoring, group support, and iterative review of data allowed for the intervention to be responsive, socially reinforcing, and to keep patients engaged in the entire eight-week intervention period.

Role of the Project Lead

For quality improvement projects to succeed, decisive and scholarly leadership is needed, through both systematic and logical designs, that link together the areas of clinical knowledge and experience, interprofessional teamwork, and systems thinking during all aspects of the implementation process. The DNP student took the lead in designing a standardized ADA diabetes follow-up protocol, creating educational materials to assist in the implementation process, setting up EHR dashboards to support the protocol, and coordinating all aspects of the logistical implementation of the eight-week process (APRN, personal communication, November 2025). The project lead performed a baseline needs assessment, which included identifying pre-intervention HbA1c data from the participating patients’ electronic health records, staff competency scores, and completion of follow-up information, providing clear baseline measures to be used for benchmarking. Since the project lead needed to remain informed about the organizational stakeholders, interprofessional team members, and academic mentors throughout the implementation process, the project lead needed to maintain fidelity to the implementation process and academic rigor of the project by constantly communicating with these groups during implementation. The plan-do-study-act (PDSA) framework was used to guide the iterative refinements for each implementation cycle, to ensure that the workflow changes for each implementation cycle were data-driven and transparent (Abuzied et al., 2023). Ongoing communication with the site preceptor, DNP faculty mentor, and clinic leadership (APRN, personal communication, November 2025) was achieved through structured meetings, virtual consultations, and written progress reports documenting progress toward completion of implementation milestones and adaptive changes. Ethical compliance was maintained throughout the project, including the procedure for CITI training certification and coordination of IRB approval, de-identification of data in accordance with Health Insurance Portability and Accountability Act (HIPAA) guidelines, and informed participation of all involved. The integration of the scholarly rigor of the project lead, clinical expertise, and collaborative leadership throughout the implementation process highlighted the importance that APRNs will play in the process of achieving sustainable quality improvement outcomes in the field of nursing practice.

Roles of Other Team Members

To ensure that quality improvement programs in outpatient primary care are successful, interprofessional team roles and team member responsibilities must be clearly defined, and the allocation of responsibilities must be equitable among the members of the interprofessional team, while the delivery of coordinated care must be improved for all of the components of the quality improvement program. The preceptor of the site was the clinical supervisor and APRN, direct supervisor of implementing the protocol, and the principal liaison between the DNP student and the leadership of the organization for the entire duration of the project, eight weeks (APRN, personal communication, November, 2025). The clinical evaluations, education, and counseling were conducted by nurse practitioners, and the nurse practitioner helped patients achieve the recommended follow-up standards recommended by the ADA at each two-week evaluation. Role clarity within QIPs has been consistently found to increase shared accountability and fidelity to delivering evidence-based intervention (Hempel et al., 2022). The coordinator for care facilitated care scheduling, telehealth logistics, reminder activation in EHR, and attendance to maintain follow-up rates higher than benchmarks. The health educator delivered culturally responsive patient education information to a diverse population of enrolled patients, based on varying language and health literacy. Each team member was aware and used a specific role to ensure consistency, accountability, and alignment with the project’s evidence-based goals at all stages of implementation. Each team member should have a different and complementary role to play in the project delivery to ensure that implementation fidelity and the project is scholarly over its lifespan. Medical assistants recorded vital signs on patients, provided educational resources, facilitated effective communication with patients, and recorded the information obtained from the patients during each two-week visit in the EHR. All nurses attended all educational sessions, utilized standardized parts of the ADA follow-up protocol during patient visits, and completed the fidelity checklist in all patient visits. There is a strong awareness of the need for interprofessional working and formal communication networks to be pivotal for the ongoing success of quality improvement initiatives in primary care (Dellafiore et al., 2025). Shared accountability improves the chances of adherence to the protocol of the implementation in all team members’ roles, and it helps identify any issues early in the implementation process (Grant et al., 2024). The DNP faculty mentor served as an academic consultant to the DNP student for all phases of implementation by reviewing the reports that the DNP student kept throughout implementation. The project team members from different disciplines met with the stakeholder’s biweekly to keep the lines of communication, transparency, and problem-solving within the project team open.

Literature Synthesis

In most cases, a comprehensive and systematic literature search strategy is essential to obtaining high-quality, relevant evidence that directly addresses the PICOT question that will be the focus of the quality improvement project. The PICOT question is: Does use of the ADA diabetes follow-up protocol (I) improve glycemic control (O) 8 weeks when compared with current diabetes care practices (C) in adult patients with diabetes (P)? A multi-database search was performed on PubMed/MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, Web of Science, Scopus, and ProQuest Dissertations and Theses to answer the question. The databases were chosen to include peer-reviewed studies, clinical practice guidelines, and relevant doctoral projects focusing on diabetes management by nurses and implementation of ADA guidelines in outpatient primary care. Medical Subject Headings (MeSH) terms used were “diabetes mellitus,” “type 2 diabetes,” “glycemic control,” “HbA1c,” “nurse-led interventions,” “ADA guidelines,” “diabetes follow-up,” “self-management education,” and “primary care. Boolean operators used: “type 2 diabetes” OR “diabetes mellitus” AND “nurse-led” OR “nursing intervention” OR “diabetes self-management education” AND “glycemic control” OR “HbA1c” AND “ADA guidelines” OR “clinical practice guideline” OR “follow-up protocol”. The development and use of a search strategy that is well-designed and systematic allows the evidence retrieved to be representative, reproducible, and directly relevant to the clinical problem being investigated. The first database searches resulted in a total of 362 records being found in all databases searched. 54 duplicate citations were removed, and 308 articles were screened for title and abstract using the pre-established inclusion and exclusion criteria. Only peer-reviewed English-language publications from 2021 to 2026 with either nurse-led intervention or structured follow-up protocol, and with measurable glycemic outcomes (such as HbA1c measurements) were included. Pediatric populations, inpatient-only acute care interventions, non-clinical commentary, editorial, and studies with no measurable HbA1c or glycemic control information were omitted from the data. A manual reference list search of systematic reviews, clinical position statements, and publications from the ADA Standards of Care yielded 11 more sources relevant to this project. The grey literature search included Government documents, professional diabetes association guidelines, and doctoral dissertations that assessed nurse-led diabetes management models in out-of-hospital settings. Well-designed screening mechanisms enhance the reliability and scientific rigor of the evidence synthesis. 20 sources were retained for synthesis and evidence table development following a full-text article appraisal that included a thorough search for relevant methodology as well as glycemic endpoints. Each study that remained was evaluated methodologically and clinically using the strength of recommendation taxonomy (SORT) framework (Duke University, 2023). The framework emphasized outcomes of the treatment, including HbA1c reductions, preventing complications, and avoiding hospitalizations, which were focused on the patient. Seven studies were classified as SORT Level A and had good quality randomized controlled trials, systematic reviews, and meta-analyses. Ten studies were given a Level B rating – these studies were well-designed comparative effectiveness research, quasi-experimental, and cohort investigations. Three studies received a Level C classification, which were clinical practice guidelines, a quality improvement project, and a narrative review. The results of the evidence quality ratings supported a general pattern of moderate-to-high quality evidence for diabetes follow-up programs for structured nurse-led diabetes follow-up interventions in a variety of outpatient settings related to the ADA diabetes clinical practice guidelines.

Analysis of Evidence

A thorough review of the 20 studies that were retained indicated that data were consistent and converging on the efficacy of nurse-led implementation of Diabetes follow-up protocols aligned with the ADA recommendations on improving Glycemic control, Self-efficacy, and Self-management behaviors in adult patients with type 2 Diabetes. The size of the effect observed in each investigation varied from small to clinically significant. Comparative analyses revealed HbA1C reductions ranging from 0.25% to 1.69%, representing significant metabolic benefits compared to usual care comparators (Asmat et al., 2024; Chen et al., 2025; Koo et al., 2024). Based on evidence, structured diabetes self-management education and support programs yielded pooled standardized mean differences of -0.468 (-0.658 to -0.279). The mean difference was -0.59 (-0.85 to -0.34) in various clinical settings and delivery systems (Yimer et al., 2025; Chen et al., 2025). The technology-enhanced delivery modalities (telehealth consultations, structured telephone coaching, and peer-supported instant messaging) were clinically comparable to the traditional face-to-face follow-up. The modalities had a significant impact on improving patient access, engagement, and adherence to self-monitoring. Consistency of results from various study designs and geographic locations adds confidence to the transferability of the diabetes follow-up clinical application from nurse-led interventions. Important gaps in the literature that were retained included a low number of studies reporting on frequency protocols for optimal follow-up, and few studies reporting on long-term outcome data beyond 12 months. There were also ongoing challenges with providers not being aware of ADA guidelines or not knowing how to follow them, the lack of workflow integration, and the lack of institutional accountability structures. The analytic synthesis identified four interrelated themes to structure the findings of the study: (a) adherence to the ADA guideline and clinical practice standards, (b) nurse-led interventions and competency development of staff, (c) diabetes self-management education and support interventions, and (d) technology-based diabetes care and remote follow-up protocols. The themes represent different aspects of the evidence base, and each supports the other, and together reinforce a multi-faceted strategy necessary to achieve clinically-relevant and organizationally sustainable improvements in glycemic control. The evidence gaps identified help to support the scholarly contribution and practical relevance of implementing a structured and protocol-driven quality improvement effort in an outpatient primary care setting. Thematic organization of findings allows systematic analysis of how various but interdependent intervention components work together to tackle the complexity of outpatient diabetes management.

Theme 1: ADA Guideline Adherence and Clinical Practice Standards

The development of effective glycemic control for outpatients receiving primary care hinges on compliance with clinical practice standards; the compliance establishes the organization of the care structure. According to ElSayed et al. (2022), when compliance rates exceed 89.8%, there were significantly more adults who met target HbA1c levels, while there was a strong correlation between inconsistent prescribing of GLP-1 receptor agonists and SGLT2 inhibitors and patients having persistently poor metabolic outcomes throughout the population studied. Tiwari and Aw (2024) identified that the major barriers to the consistent implementation of guidelines for medication therapy and consistent monitoring were inefficiencies of workflows and a lack of knowledge on the part of providers. Overall, the results of the studies suggest that there are factors at both the system and provider level that limit the successful application of ADA guidelines, and protocol-driven nursing interventions are uniquely positioned to address the factors. By systematically embedding ADA-aligned follow-up into nursing protocols that follow a structured approach, the process of translating published guidelines into measurable, consistent patient outcomes can be strengthened.

The implementation of ADA-aligned protocols into nursing workflows will convert evidence-based recommendations into clinically meaningful reductions in glycemic burden. Abukhalil et al. (2024) showed that the use of ADA-based follow-up pathways in a patient-centered medical home resulted in a mean HbA1c reduction of 0.74%, p < .01, in enrolled patients and also improved the percentage of guideline-concordant antihyperglycemic prescriptions written for enrolled patients. Chen et al. (2025) supported the findings, demonstrating an HbA1c reduction of 1.02% at twelve weeks, p < .001, resulting from structured adherence to ADA follow-up intervals and medication review by nurses. Collectively, the studies demonstrate that the use of structured nurse-led follow-up for ADA guideline compliance yields consistent and clinically significant reductions in glycemia within outpatient primary care.

Adherence to the guidelines is insufficient to attain optimal glycemic control without additional systems of reinforcement, accountability, and continuous monitoring. Interventions that depend solely upon the adoption of guidelines without structured reinforcement yield heterogeneous outcomes (Sun et al., 2025). Therefore, continued nurse engagement and systematic follow-up intervals are necessary to complement the implementation of protocols. ElSayed et al. (2022) established that only 23% of adults simultaneously achieved the target HbA1c, blood pressure, and lipid levels while meeting the criteria for nonsmoking during the data collection time across a population level, demonstrating that diabetes management involves many different variables, and single-component adherence to guidelines cannot address all of the variables. Tiwari and Aw (2024) reported that provider-level knowledge gaps regarding the updated diagnostic hierarchies and point-of-care testing requirements were present, even though the updated guidelines were accessible; thus, providers were unable to consistently apply the guidelines in practice. Abukhalil et al. (2024) also found that adherence to preventive screenings was low and that there was also a gap in the pharmacotherapy of patients with diabetes; therefore, the implementation of guidelines needs to be comprehensive across all clinical areas, rather than only being applied selectively to pharmacotherapy. To achieve ongoing improvements in glycemic control, ADA standards must be embedded in a nurse-led, accountable framework that incorporates structured education, continuous monitoring, and follow-up tailored to the individual needs of patients on all aspects of diabetes care.

Theme 2: Nurse-Led Interventions and Staff Competency Development

Nurse-directed models of care are an evidence-supported strategy for improving glycemic control via ongoing engagement of patients and structured interprofessional coordination. The role of nurses as care providers was confirmed by Dailah (2024) that nurse-managed diabetes education programs helped increase patient knowledge, self-management behaviors, psychological outcomes, and HbA1c level following continuous engagement with patients and motivating support. On the basis of these findings, Jiang et al. (2024) reported that after six months of structured follow-up, diabetes knowledge, anxiety, depression, and self-care activities significantly improved in patients receiving nurse-led follow-up (p < .001). In 2024, Aldahmashi et al. showed that multiple educational interventions to improve nursing skills resulted in the same outcomes of improved HbA1c level, blood pressure, and lipid levels among patients who had well-defined roles and had systematic education. Nurse-led interventions have therefore been shown to have consistent, multidimensional effects on patient outcomes in practice settings that provide nursing autonomy and clinical accountability for the quality of care. The development of staff competencies will create a mechanistic connection between nursing practice and the provision of patient-focused diabetes care in outpatient care settings. In a recent study conducted by Aldahmashi et al. (2024), targeted education enhanced the confidence of nurses in the use of the ADA protocols, leading to tangible reductions in protocol adherence issues with glycemic monitoring and increased patient education during follow-up visits. Those same benefits were demonstrated by Abukhalil et al. (2024) when they examined the impact of team-based primary care ADA protocol-based follow-up care, which led to increased prescribing/medication use concordance, better care coordination processes, and an average reduction in participants’ HbA1c level of 0.74%. Nursing involvement had been identified as an important contributing factor to positive outcomes of ADA-based care. Dailah (2024) found that in hospitals, about 22% of nursing stations have not been equipped with Diabetes Inpatient Specialists Nurses, which has resulted in gaps in knowledge and care in the hospitals; that is why strengthening the competence of nurses in the outpatient department is important to complement the absence of a Diabetes Inpatient Specialist Nurse in the inpatient department. Jiang et al. (2024) confirmed that nurse-led care with structured educational programs and multiple patient engagement approaches yielded significant improvements even among patients receiving extra physical activity support in the control group. Nursing development is directly linked to nursing outcomes for glycemic care in various outpatient departments and is directly linked to funding. Expanding the coordination capabilities in primary care systems enhances the clinical effectiveness of nurse-led diabetes management interventions through interprofessional collaboration and by defining nursing roles. When nurse-led processes are used holistically and have a protocol, nurse-led programs have proven to be effective at decreasing the intensity of anxiety and depression symptoms and enhancing glycemic control, as shown by Jiang et al. (2024). The researchers in Aldahmashi et al. (2024) found that four fundamental roles of a nurse played a role in successful diabetes programs, and that each role was associated with compliance to diabetes clinical practice guidelines and overall patient safety: education, collaborative practice, program design, and documentation review. At the system level, [reception of nursing-led post-visit follow-up] within the patient-centered medical home (PCMH) model resulted in benefits other than during the patient visit, including better prescribing practices and care coordination throughout the clinic, as confirmed by Abukhail et al. (2024). Dailah (2024) expressed that the nurses had more opportunities for regular patient contact and more consistency in providing diabetes education and motivation/reinforcement than other health care professionals. Instructing nursing as part of and supporting structurally developed interprofessional teams, the team as a whole delivers quality outcomes in managing diabetes, which cannot be achieved by any one profession alone.

Theme 3: Diabetes Self-Management Education and Support Interventions

Nurse-led follow-up has the biggest potential for applying clinical recommendations through structured diabetes self-management education and support programs, which lead to long-term physiological and behavioral changes. In their multi-center randomized controlled trial, Asmat and colleagues (2024) found that patients in a patient-centered self-management intervention had a highly significant mean reduction in HbA1c (−0.25%, p = .03) and a large mean increase in self-efficacy (41.48, p < .0001) and self-care behaviors (18.56, p < .0001). Mediation analysis showed that the behavioral improvement led to the glycemic improvement, as evidenced by inferior mediation analysis data. Yimer et al. (2025) supported these findings by conducting a systematic review and meta-analysis of 19 randomized controlled trials, which found that compared to routine care, structured DSMES reliably resulted in better glycemic improvement as measured by HbA1C (SMD = – 0.468, 95% CI – 0.658 – – 0.279, p < .001). In addition to delivering measurable improvements in self-management capacity, patient-centered education programs always achieve improvements in clinical glycemic markers when they include individualized counselling and positive reinforcement. The length, strength, and overall structure of DSMES programs are significant factors in their ability to achieve clinically meaningful and lasting patient results. The 34 studies of self-management interventions with a duration of more than 6 months, which were summarised in the systematic review and meta-analysis by Huang et al. (2024), reported significantly greater improvements in quality of life; improvements in self-efficacy were significantly greater across the range of durations of self-management (95% CI 0.19–0.62, p < .001), and reductions in depressive symptoms were consistently replicated across self-management programs. Fracso et al. (2022) also provided evidence of the qualitative nature of the findings by showing how fundamental changes occurred in patients’ motivations, sense of community, and desire for improvement as a result of the longer-term participation in the Chronic Disease Self-Management Programme, which could not have been achieved by a brief informative intervention. The results were extended by Chen et al. (2025), who found that adding weekly telephone coaching to nurse follow-up led to an increase in self-efficacy and higher frequency of blood glucose monitoring (BGM) and acted as a mediator of physiological improvement through behavioral activation pathways. Sustainable contact, structured reinforcement, and long-lasting engagement are needed design features of DSMES to achieve outcomes well after the active intervention phase. Culturally responsive and contextually adapted DSMES content has always promoted the success of the DSMES programs and has equitably improved glycemic results across various patient populations. The investigators included in this review were found to have significant differences among them (I² = 85.5%), with the differences in the effectiveness of the DSMES programs in the studies attributed to cultural adaptation, educators’ preparation, and the extent to which the program was aligned with the target population’s health literacy. Sun et al. (2025) have found that, however, DSMES modules that do not include some form of contextualization are less effective than culturally adapted materials that reflect the dietary practices, timings for taking medication, and community health beliefs of the target population; therefore, culturally adapted materials are essential and not optional components of successful program development. The results obtained by Asmat et al. (2024) confirmed that culturally tailored, nurse-led, theory-driven interventions significantly and enduringly improve outcomes, which are mediated by the construct of self-efficacy, accounting for 23.2% of the variance. Hence, it is important to weave culturally responsive content, planned reinforcement, and more time for follow-up into the course to maximize impact within DSMES and to support equal glycemic benefits for all patient populations.

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. Chen et al. (2025) conducted a fixed mean change in HbA1c of -0.59 (95% CI: -0.85 to -0.34, p < .00001) after a systematic review of 13 studies comprising 2294 patients, a longitudinal meta-analysis, showing the 16 contacts of half-month intervals with a fixed mean change of -1.23 (p < .001) after nurse-led telephone interventions. These results were corroborated by the real-world longitudinal cohort study with 24-month follow-up by Koo et al. (2024), which showed that a remote home and self-care programme with telephonically-based nursing support delivered via smartphones yielded HbA1c reductions from the initial level of 1.63% to 1.23% at the 8-month follow-up, with an average HbA1c level of 7.33% to 7.62% during observation. The results do support that nurse-led technology-based follow-up care protocols are well structured with regular nurse involvement and patient engagement, which leads to clinically meaningful and sustained glycaemic control. 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) identified a statistically significant improvement in chronic disease management outcomes with nurse-led telemedicine over face-to-face care and a statistically significant improvement in access and patient satisfaction when using telehealth technologies to overcome barriers of geographical location or transportation to regular follow-up care with in-person follow-up care. Kamal et al. (2023) evaluated an empowerment-based interprofessional follow-up intervention over 12 months and reported significant differences between groups in glycemia, as well as significant within-group reductions in weight and waist circumference; however, the qualitative results suggested that the patients would have had to work with the research team for a longer period than the 12 months used in the study for the increased awareness to translate into sustained behaviors change. Sun et al. (2025) reiterated the scalability of digital delivery to resource-limited and/or remote populations and highlighted how advanced technologies can improve patient engagement by providing structured reminders, automated messaging, and virtual consultations that increase access. Sustained glycemic control can be realized, however, when parameters of a protocol are carefully set and followed over sufficient periods of time with the aid of structured follow-up care and technology. Despite the success documented regularly, challenges to the rollout of the model’s incorporating technology for diabetes follow-up require intentional efforts to ensure they are delivered equitably and effectively across all patient populations. However, vulnerable populations may be at higher risk for exclusion in telemedicine remote care models or may benefit less from telemedicine due to a lack of digital literacy, inconsistent access to technology, and socioeconomic status inequalities, as highlighted by Ezeamii (2024). Based on the study by Graue et al. (2023), 12 months might not be enough for patient activation score changes to result from empowerment-focused remote interventions, and so, supporting patients rather than setting hard protocol criteria for endpoints may be required to achieve this. The studies included in the review of telephone interventions were found to be highly heterogeneous (I² = 87%), with heterogeneous protocol design, patient demographics, and outcome measure strategies, which limited direct comparison of effectiveness estimates across studies. High heterogeneity was observed for the studies included in the review on telephone interventions (I² = 87%), reflecting variations in protocol design, patient characteristics, and outcome measures. Because of the heterogeneity of populations in terms of the adoption of digital interventions and the lack of engagement with the patient, remote care models need to be tailored to the local context and should not be spread as a single model, warned Sun et al. (2025). Addressing inequities in access to technology, standardization of protocols, and the ability to offer the same quality supervisory support for nursing across various populations is essential to delivering equitable and effective diabetes care using technology.

Synthesis of Findings

When assessing the evidence across different categories, an overall comprehensive conclusion was reached in that designing structured nurse-administered diabetes follow-up interventions for outpatient primary care can be founded on clinically actionable evidence. All twenty studies that were included in the analysis found a mean overall positive direction (improvement) of HbA1c outcomes in people with diabetes when all types of delivery models, geographic location, and study design were examined. The effect sizes were varied from small to moderate decreases in HbA1c in the short term (0.25%) through RCTs to clinically meaningful HbA1c decreases (more than 1.5%) from large structured, longitudinal diabetes programs (Asmat et al., 2024; Koo et al., 2024). Adherence to ADA guidelines, nurse-led competency development, patient-centered education, and technology-enhanced follow-up of a single intervention bundle will result in better and more sustainable HbA1c results than any single intervention alone (ElSayed et al., 2022; Sun et al., 2025). A comprehensive, multifaceted protocol for caring for patients with diabetes in the outpatient environment is therefore needed to create clinically important and sustained glycemic outcomes in the outpatient setting. Also, the evidence synthesis confirmed the relevance of the proposed quality improvement project, and the review of the existing body of evidence showed that there were significant gaps that still require quality improvement in this area. Early on, the evidence synthesis methodology shifted from adherence to guidelines to meta-analytic synthesis and had no longitudinal literature greater than twelve (12) months, limited standardization of follow-up frequency and/or acquisition protocols, few cost-effectiveness analyses, and limited attention to culture-specific needs regarding access to technology-enhanced service delivery models. Therefore, multiple implementation studies that are contextually relevant and that must have undergone methodological quality assessment through rigorous evaluation are required to further evaluate the outcomes across a variety of outpatient settings (American Diabetes Association, 2024). Evidence gap closure will further a body of literature and help support practical outcomes related to nurse-led, sustainable chronic disease management.

Implementation Plan

A structured quality improvement intervention will require a coherent, systematic, sequential plan that is developed and executed carefully to assure fidelity, replicability, and uniformity throughout the project. Implementation time was eight weeks, a phased approach, with weeks one and two where baseline HbA1c data were taken from the electronic health record (EHR) system, follow-up completion rates of patients’ data, and nursing staff competency scores (as measured by competency checklists) were obtained. Quality improvement frameworks often highlight the use of careful baseline data to show the effectiveness of the intervention as well as significant clinical change over time (Lighterness et al., 2024). Precise pre-intervention benchmarking helps project teams understand what is not working well for them in order to achieve the project goals, understand what they can do to reach a desired target, and how they can measure progress towards the project target goals (Willmington et al., 2022). During weeks three and four, structured staff education was completed, which included providing the nursing participants with instructional sessions on Diabetes Pathophysiology, ADA guidelines for diabetes management, principles of medication reconciliation, and documentation in EHRs through simulation and case-based learning, as well as peer mentoring workshops. All components of the nursing intervention were completed by all nursing participants before and after the completion of the nursing education sessions, to ensure that each nursing staff member had reached at least an 80% competency level before delivering the patient-facing portion of the intervention. The phased instructional and training structure guaranteed that each subsequent component of the intervention would be provided with accountability, consistency, and measurable fidelity over the entire eight-week implementation period. Fidelity of implementation was maintained throughout the remaining weeks by continuous monitoring, and iterative changes were offered in a structured interprofessional way using PDSA methodology. Structured biweekly patient follow-up visits were scheduled for weeks five and six, continuous telehealth visits with patients (if the patient was challenged with transportation), and competency exams were conducted halfway through the program to evaluate the nursing staff’s usage of the protocol. When deemed inadequate, formative assessment information was used to adapt the educational delivery strategies. There is strong evidence that quality improvement efforts that use real-time performance monitoring can detect implementation challenges early in the initiative, and help to make performance corrections that are responsive and evidence-based (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). During weeks seven and eight, the EHR-based tracking systems were actively managed and monitored to schedule follow-up visits, flag patients with missed visits, centralize HbA1c data, and generate performance dashboards to be monitored in real-time for both process and outcomes indicators at the practicum site. Structured checklist reviews were used to verify completion of follow-up activities for each patient, and to verify fidelity of the processes, in week eight, while a comprehensive outcome analysis process was completed to examine all patient-related outcome data (glycemic, competency, and behavioral) at baseline and at the end of the intervention. Given the structured, iterative, and eight-week implementation plan, the intervention was flexible to evidence-based practice and had the potential for clinical improvement for glycemic control for the practicum site.

Conceptual Model

Quality Improvement Frameworks are key to implementing, evaluating, and making adjustments to evidence-based interventions in an iterative process of systems and cycles of learning/adjustments. This project was guided by the PDSA model as it has been successful in the past with chronic disease management (BARR & Brannan, 2024). The PDSA is based on W.E. Deming’s theory of quality improvement, and centers on process improvement using iterative learning/refining in the context of complex systems. Iterative evaluation cycles are consistently found to be effective in quality improvement frameworks used for chronic diseases (Endalamaw et al., 2024). During the ‘plan’ phase, the team determined that achieving poor glycemic control was the main focus in the adult patient population, identified measurable benchmarks of outcomes, and developed a staff competency-based protocol and staff development program for the diabetes follow-up process. The ‘do’ phase involved implementing the intervention through simulation-based staff training, bi-weekly follow-up visits with patients (including telehealth), and activation of EHR dashboards throughout the period of the intervention. The evidence-based and iterative design of PDSA ensured that all decisions about implementation were grounded in measurable data and would directly help to reach the overall goal of moving towards a more sustainable level of glycemic control by standardizing the nurse-led implementation protocols. The evaluative and adaptive part of the PDSA model was maintained by the PDSA phases to ensure fidelity/quality of the intervention and to enhance the learning for the 8 weeks of implementation. The ‘study’ phase involved a weekly review of formative information (HbA1c trends, staff competency scores, follow-up visit completion rates, and EHR documentation errors) for progress towards goal thresholds and to derive adaptive strategies to address the barriers being identified. The iterative nature of the PDSA model allows healthcare teams to adapt to challenges as they arise during implementation and implementation of measured evidence to inform changes to the original protocol (Abuzied et al., 2023). Previous projects of structured nurse-led diabetes management have shown that changes to workflow and regular testing, with subsequent refinements to protocols, resulted in a reduction in mean HbA1c between 0.5%-1.0% (Konnyu, 2023). During the ‘act’ phase, lessons learned from formative analyses informed adult education content delivery, systems approaches to workflow scheduling processes, and improvements to telehealth outreach to patients who were less engaged, which will be embedded in the clinic workflow post-implementation. The flexibility, measurable processes, and continuous feedback mechanisms inherent in a PDSA framework further reinforce that PDSA is an ideal framework for the project to effectively recreate, measure, and sustain improvements in outpatient glycemic management.

Data Collection and Analysis

Having the right design and using stringent data collection methods are essential for generating interpretable, clinically relevant results from quality improvement efforts that are evidence-based. The project’s design was a pre-post design to gather baseline and follow-up data on all 20-adult type 2 diabetes patients and 8 nursing staff at the facility. The pre-post design is also a widely adopted and accepted method of assessing the effectiveness of a structured intervention in a real-world setting, as it allows for a simple and practical comparison between results of the same groups of participants over set periods of time (Klaic et al., 2022). The pre-post design is a commonly used quality improvement design in outpatient chronic disease management and has been consistently shown to be sensitive enough to detect clinically significant improvements in patient outcomes (Lee et al., 2022). All measures post-intervention were compared to some reference, measurable standard, including baseline measures for HbA1C levels, follow-up visit completion, and nursing staff competence tests, taken from the facility’s electronic health record system before the start of the intervention. The project was approved before its initiation by the Institutional Review Board, and codes were assigned, and names were de-identified in accordance with HIPAA guidelines in relation to participant confidentiality in data collection and analysis. Credible, comparable, and clinically interpretable outcome evidence was gathered through research methods used in quality improvement and based on the pre-post design of the project and the standardized baseline data extraction. Valid and consistent measures (clinical or non-clinical) and instruments of record are a necessary prerequisite to support credible and dependable evidence of quality improvement. Main outcome measures included the mean of the baseline and week 8 HbA1C level, assessed using point-of-care laboratory testing integrated with the clinic’s electronic record system. In this study, a clinically significant improvement in a patient’s HbA1C level was considered to be a reduction of 0.5 percentage points or more from the baseline HbA1C level after the structured follow-up protocol recommended by the American Diabetes Association (Tiwari & Aw, 2024). Measurement instruments for outcomes should have established high-level content value and measurement reliability for both pre and post-project quality improvement studies to be a valid basis to determine the effectiveness of a structured intervention. The validated and reliable outcome measurement instruments played a central role in the evidence base needed to inform the clinical decisions made by the quality improvement entity, to revise protocols and plan for sustainability (Gabriela et al., 2025). Secondary outcome measures were: Nursing staff competence test scores (using a validated instrument for diabetes management competency pre- and post-training). Follow-up visits (as recorded in the electronic health record system via visit scheduling audit logs). Patient self-management of diabetes: Insulin adherence and frequency of blood glucose monitoring using structured behavior checklists. Before implementation, all measurement instruments were assessed by an expert panel for content validity, and guidelines were established for the use of the same process for data collection at each time point of the measurement throughout the 8-week project to ensure that the outcomes collected would be reliable and valid outcomes. There will be a thorough range of primary and secondary outcome measures across all domains of glycemic, competency, and behavior.

Ethical Considerations

Ethical considerations must be carefully considered when designing quality improvement projects to ensure caring for the participants and ensuring that the information is confidential to the participants, but also to ensure that the institution is compliant throughout the planning, implementation, and evaluation process. The project was evaluated by an Institutional Review Board (IRB) before implementation, and it was decided that the quality improvement project was not “Human Subjects Research. As such, the IRB determined that the project was not of full IRB scope and did not need to undergo a full IRB review; it aimed to enhance practice instead of measuring knowledge that would be generalizable (APRN, personal communication, November 2025). Health care institutions are frequently inclined to identify their quality improvement projects as Not Human Subjects Research if they are addressing an existing process in health care, rely on clinical information collected in the past, and are using evidence-based practices. Compliance with the institutional review standards and federal ethics guidelines is not enough to fulfill ethical responsibilities for the conduct of a nurse-led QI project. In addition, ethical compliance requires that all data collection methods and procedures, recruitment/consent processes, and outcome reporting processes comply with the established guidelines for IRB review; therefore, all Collaborative Institutional Training Initiative (CITI) certification requirements must be met before the project leader is allowed to conduct quality research that meets the ethical standards of practice in the clinical setting (APRN, personal communication, November 2025). During the project implementation (8 weeks), an ethical framework for all activities related to data collection, analysis, and reporting was provided by IRB determination, as well as by completion of all required CITI certifications. Compliance with the project’s ethical principles of practice enabled trust with participants, institutional legitimacy, and scholarly credibility to be built in all aspects of the project implementation and outcome data collection. Maintaining patient confidentiality and ensuring that all documentation and information about the project are stored securely are some of the main ethical considerations that should be addressed systematically throughout the various stages of conducting a quality improvement project. Before any data extraction, analysis, or reporting, all patient identifiers collected as part of the quality improvement project were replaced with unique coded identifiers that would not allow identification of any individual patient from the documents, analysis, and dissemination of information that was produced throughout the 8-week implementation phase of the project. If the information is collected during the quality improvement project in a health care setting, the HIPAA requirements dictate that information must be de-identified, kept secure, and only available to authorized persons (CDC, 2024). De-identification of IIHI is an important ethical measure to protect individual privacy rights and federal regulations on the protection of confidential data in QI projects (Lulamba et al., 2025). During the implementation period (8 weeks), all electronic data and competency assessment records were kept on encrypted and password-protected devices that were only accessible to the project lead, site preceptor, and designated project personnel, and all hard copy data were kept in locked cabinets with restricted access to the clinic (APRN, personal communication, November 2025). The compliance of all de-identification processes was verified weekly, with any incidents of deviation from the compliance procedure documented, rectified, and re-verified to ensure consistency and compliance with institutional standards. Application of all data security and de-identification procedures was rigorous, and the project was granted the highest ethical standards, with credible evidence that was developed in the project to support sustainable quality improvement in outpatient diabetes management.

Project Results

It is important to clearly convey the clinical significance and impact of the quality improvement intervention (QI) to all other stakeholders in an organized, evidence-based manner when presenting quality improvement project results. The primary outcome demonstrated a clinically significant mean reduction in HbA1c over the 8 weeks of 1.52 percentage points (from a baseline mean of 9.95% to a post-intervention mean of 8.22%), significantly larger than the success threshold of 0.5 percentage points pre-established for the implementation of the QI intervention. The 89.2% completion of planned follow-up visits during the implementation of the QI intervention is evidence that the patients participated actively in the structured diabetes follow-up protocol from ADA. Further, the achievement of the bi-weekly follow-up visit plan by patients and nursing staff validates the existing operations’ capacity of the bi-weekly plan. The rate of achieving the full target of HbA1c < 7% at the end of the eight-week intervention period was only 10%, which means that, although the intervention resulted in significant improvement in glycemia, other factors must have played a role in reaching the full target, and a longer intervention period than occurs in the practicum may have been necessary. Overall, the findings of the primary outcome confirm that a standardized, ADA-compliant, nurse-led follow-up protocol led to clinically and dimensionally important improvements in glycemic control in adult patients with type 2 diabetes at the project site. The results from secondary outcomes also support the overall and multi-faceted effects of the structured intervention, as demonstrated in the domains of nursing staff competency, patient self-management engagement, and nursing staff delivery fidelity over the eight-week timeframe of the structured intervention. Nursing staff competency scores showed a significant improvement in their ability to competently deliver the protocol, rising from 59.0% pre-training to 85.4% post training, and a majority of the 8 nurses reached the required competency of 80% or more, independent of any medical provider (APRN, personal communication, November 2025). Self-management engagement scores averaged 7.4 of 10 at eight weeks; and 70% of patients were adherent to the medication regimen at eight weeks, and 65% were doing routine daily blood glucose monitoring throughout the 8 weeks of structured engagement. An unexpected yet important finding of the study was that transportation barriers slowed patient arrival at the clinic and lowered the proportion of planned visits to the clinic (67%), influencing the glycemic trajectory of some patients enrolled in the study, and underscoring the importance of using integrated telehealth as an alternative, equitable approach to delivery of long-term clinical outcomes. The secondary outcome results showed positive overall and consistent improvement in the clinical, operations, and behavioral domains, and the ADA diabetes follow-up protocol worked to achieve dimensional and meaningful change at the project site. The results of the project are included in the appendix.

Project Outcomes

Evaluating the success of the project provides data on the value of the overall program in terms of improving clinical practice and serving as an evidence-based intervention. The primary objective of the project — to lower HbA1c — was met with a 1.52 percentage point (above baseline) fall in HbA1c levels, well above the projected successful target (0.5 percentage points). The 8-week results of the structured ADA diabetes follow-up protocol showed complete clinical significance as all measures of glycemic achievement were improved consistently and clinically significantly when compared to the baseline after 8 weeks of implementation. Additional studies focused on a similar patient population for diabetes follow-up care showed similar decreases in HbA1c, ranging between 0.25% and 1.69%, highlighting that the outcomes of the QI project are consistent with previous research results and that the effect size was larger than what is typically reported in the QI literature (Asmat et al., 2024; Koo et al., 2024). The results of the nurse-driven self-management education programs showed almost complete improvement in nurse competency scores and patients’ self-care behavior if it was given under a structure and protocol initiated by nurses (Dailah, 2024). In addition to achieving the primary outcome of improving nursing staff competency, there was also a significant and measurable T-test difference (p < .01) in the number of participants (7 out of 8) who achieved a minimum of 80% upon completion of the training, and while achieving an HbA1c < 7% for 70% of all patients enrolled in the pilot program was not achieved in the eight-week timeframe, it is assumed that with ongoing implementation for a longer duration than the practicum period, final HbA1c target attainment (< 7%) for all enrolled patients will occur. 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. An analysis of strengths, limitations, opportunities, and barriers of a quality improvement project also offers an evaluative lens for internal and external applicability to other similar clinical environments. High staff competency gains, adherence to the follow-up system (89.2%), accuracy of EHR documentation, and interprofessional clinical team collaboration to incorporate the nationally recognized ADA clinical practice guidelines were the key strengths of the project. The elements worked together to enhance the credibility of the intervention design. Quality improvement projects with high fidelity to intervention protocols (i.e., doing the intervention protocols as described) and structured competency development and EHR monitoring have a higher level of reliability and generalizability of the outcome, confirming validated methodological strengths of the current project (Endalamaw et al., 2024). The multi-disciplinary structured quality improvement efforts use validated protocols for follow-ups and monitoring via EHR, and they routinely yield positive outcomes (Ebbers et al., 2023). The quality improvement project had some limitations, such as a narrow window for implementation (8 weeks) and a limited number of participants on the nursing staff (8), which restricted the statistical power, and results were limited to one clinic site (as generalizability to a broader clinical setting was limited). During the implementation, opportunities were identified to expand the standardized ADA follow-up protocol to other chronic disease populations routinely accessed at the outpatient clinic, to leverage peer-supported digital messaging for increased patient engagement between outpatient visits, and to disseminate project findings through the use of peer-reviewed publications to contribute to the evidence base. Consolidation of the quality improvement project into practice change after the project’s conclusion and deliberate organizational planning, written organizational commitment to sustaining the quality improvement project, and the successful aspects of the quality improvement project into routine clinical practice, and systematic embedding of the successful aspects of the quality improvement project into professional accountability structures. The clinic will embed the structured ADA diabetes follow-up protocol into the Routine Nursing Workflow Procedures to maintain the follow-up protocol. EHR dashboards, automated appointment reminders, and fidelity checklists will always be used as an infrastructure to assist with continued protocol adherence (APRN, personal communication, November 2025). However, the benefits of structural outpatient interventions need to be monitored continuously, adapted, and followed up after the interventions for at least 1 year after implementation to ensure that the practice changes have become a part of the organizational culture and clinical routine (Jahed et al., 2025). Whereas strategies for improving the chronic disease management program have the highest potential for sustained long-term implementation when the successful characteristics of protocols are integrated into formal policies, such as the adoption of a policy for the program (Endalamaw et al., 2024). To support the sustainability of the outcomes, new roles will be created, such as the Diabetes Protocol Coordinator, and will keep a close eye on the EHR dashboard metrics and plan for continuous competency reassessment with nursing staff every quarter (APRN, personal communication, November 2025). By reporting the results of the QIP internally, reporting to conferences, and publishing them in peer-reviewed journals, the organization will further embed this standardized diabetes follow-up model and pave the way for future replication in similar outpatient primary care settings that provide care to a diverse adult population.  

Recommendations

Results obtained from evidence-based quality improvement efforts will also yield new perspectives and will be relevant beyond the implementation phase, in shaping future nursing research and practice. Findings for future practice: If 8 weeks is enough, then the time frame of the intervention could be extended to a year to determine long-term HbA1c levels after the 8-week practicum. Furthermore, the protocol must be expanded to other chronic disease groups in this outpatient setting to increase the impact and allocation of resources within the organization. Multicenter replication studies on the effectiveness of the protocol with larger and more diverse nursing samples should be conducted in the future. Another priority area of further study is cost-effectiveness analyses, where the standardized follow-up reduced hospitalization rates are calculated. Peer-supported digital patient messaging platforms will enhance patient engagement and support for self-management between visits (Nagra et al., 2024). Culturally responsive curriculum development and digital equity research will aid in identifying technology access gaps for underserved populations (Martinez et al., 2023). The ongoing support of structured nurse-led diabetes follow-up programs will be one of the most important ways to further achieve glycemic equity and improve the quality of outpatient primary health care for a diverse adult population.

Summary

A summary of the most important takeaways from a QI project is an important way to affirm its clinical importance, relevance to the organization, and scholarly contribution of the intervention that was put into practice in clinical practice. The ADA diabetes follow-up protocol that was implemented over 8 weeks resulted in a clinically significant HbA1c decrease of 1.52 percent, nursing staff competency scores increased from 59.0% to 85.4%, and the follow-up adherence rate was 89.2%. So, the adoption of the ADA protocol in practice resulted in overall measurable improvements in areas of glycemic control, nursing productivity, and follow-up adherence. Implementing has helped to further the organizational mission of providing evidence-based, patient-centered, and accessible primary health care by standardizing diabetes follow-up, enhancing interprofessional working, and integrating monitoring processes into EHRs as part of standard practice. The project’s outcomes aligned with the clinic’s strategic goals around Value-based care delivery, Quality of chronic disease management, and Health equity goals for patients from a variety of urban communities served by the practicum site. Finally, the nurse-led protocol developed in the context of the ADA can be replicated, expanded to other communities of similar outpatient primary care practices, and will help to sustain glycemic improvements in similar clinics/ ambulatory care settings. Finally, IPE-based EIQI within an organizational context produces meaningful and sustained clinical outcomes and is consistent with the goals of the organization, as well as national standards in excellence in chronic disease management.