
NURS FPX 9030 Assessment 1 Raw Data Upload
Student Name
University
NURS-FPX9030: Doctor of Nursing Practice Across the Lifespan III
Dr.
July, 2026
Raw Data Upload
Despite this, diabetes remains a key chronic disease in primary care that requires continuous monitoring, structured pathways to follow, and patient education, tailored to each patient, to reduce complications and the burden of the disease. As part of the project site, a high proportion of diabetic adults (42%) have HbA1c levels above 9%, indicating a need for improvement with respect to continuing care, health education distribution, and consistency of follow-up. The PICOT question for the quality improvement project is: How can the implementation of the ADA diabetes follow-up protocol (I) in the nursing staff’s care of adults with diabetes (P), compared to the current approach to diabetes care (C), affect glycemic control (O) over the next eight weeks (T)? The project team suggests a follow-up plan based on the existing evidence to ensure staff competency and better glycemic outcomes, to highlight the need for structured, collaborative, and sustainable diabetes care practice.
The raw data collected during an implementation of an 8-week quality improvement (QI) project to improve glycemic control in adults with type 2-diabetes (T2DM) in an outpatient primary care clinic is presented below. The project team used the diabetes follow-up plan outlined by the American Diabetes Association (ADA) and looked at the results of the project on patient glucose outcomes, staff clinical competency, patient follow-up adherence, and self-management behaviors. The following data are all anonymous. Instead of the patient’s name, participant IDs (P001 – P020) were utilized. Staff IDs (S001–S008) were used in place of staff names. However, no personally identifiable information (PII) is provided. Information was collected from the clinics’ electronic health record (EHR) system and competency items completed throughout the implementation period.
Table 1
Patient Demographic Characteristics and Baseline HbA1c (N = 20)
| Participant ID | Age Group | Sex | Race/Ethnicity | Insurance Type | T2DM Duration (yrs) | Baseline HbA1c (%) |
|---|---|---|---|---|---|---|
| P001 | 45–54 | Female | Hispanic/Latino | Medicaid | 6 | 9.8 |
| P002 | 55–64 | Male | Black/African American | Medicare | 11 | 10.2 |
| P003 | 35–44 | Female | White/Non-Hispanic | Private | 3 | 8.7 |
| P004 | 55–64 | Female | Hispanic/Latino | Medicaid | 9 | 11.1 |
| P005 | 45–54 | Male | Asian | Medicaid | 5 | 9.4 |
| P006 | 65+ | Male | Black/African American | Medicare | 14 | 10.8 |
| P007 | 35–44 | Female | White/Non-Hispanic | Private | 2 | 8.3 |
| P008 | 55–64 | Male | Hispanic/Latino | Medicaid | 8 | 9.9 |
| P009 | 45–54 | Female | Asian | Private | 4 | 8.9 |
| P010 | 65+ | Female | Black/African American | Medicare | 16 | 11.4 |
| P011 | 35–44 | Male | White/Non-Hispanic | Private | 3 | 8.5 |
| P012 | 55–64 | Female | Hispanic/Latino | Medicaid | 10 | 10.6 |
| P013 | 45–54 | Male | Black/African American | Medicaid | 7 | 9.7 |
| P014 | 65+ | Female | Hispanic/Latino | Medicare | 13 | 10.9 |
| P015 | 35–44 | Male | Asian | Private | 2 | 8.2 |
| P016 | 55–64 | Female | White/Non-Hispanic | Private | 9 | 9.3 |
| P017 | 45–54 | Male | Hispanic/Latino | Medicaid | 6 | 10.1 |
| P018 | 65+ | Female | Black/African American | Medicare | 18 | 11.7 |
| P019 | 35–44 | Female | Asian | Private | 1 | 7.8 |
| P020 | 55–64 | Male | White/Non-Hispanic | Private | 11 | 9.6 |
Note. All patient identifiers have been replaced with study codes. Age group, sex, race/ethnicity, and insurance type were self-reported. T2DM duration and baseline HbA1c were extracted from EHR records at Week 1. T2DM = type 2 diabetes mellitus; HbA1c = hemoglobin A1c.
Table 2
Patient HbA1c Outcomes Across Measurement Time Points (N = 20)
| Participant ID | Baseline HbA1c (%) | Week 4 HbA1c (%) | Week 8 HbA1c (%) | Change (Baseline to Wk 8) | Target Met (<7%) |
|---|---|---|---|---|---|
| P001 | 9.8 | 9.1 | 8.4 | −1.4 | No |
| P002 | 10.2 | 9.6 | 8.8 | −1.4 | No |
| P003 | 8.7 | 8.1 | 7.4 | −1.3 | No |
| P004 | 11.1 | 10.3 | 9.2 | −1.9 | No |
| P005 | 9.4 | 8.7 | 7.9 | −1.5 | No |
| P006 | 10.8 | 10.0 | 9.1 | −1.7 | No |
| P007 | 8.3 | 7.6 | 7.0 | −1.3 | No |
| P008 | 9.9 | 9.2 | 8.3 | −1.6 | No |
| P009 | 8.9 | 8.3 | 7.5 | −1.4 | No |
| P010 | 11.4 | 10.7 | 9.6 | −1.8 | No |
| P011 | 8.5 | 7.9 | 7.1 | −1.4 | No |
| P012 | 10.6 | 9.8 | 8.9 | −1.7 | No |
| P013 | 9.7 | 9.0 | 8.2 | −1.5 | No |
| P014 | 10.9 | 10.2 | 9.3 | −1.6 | No |
| P015 | 8.2 | 7.5 | 6.9 | −1.3 | Yes |
| P016 | 9.3 | 8.6 | 7.8 | −1.5 | No |
| P017 | 10.1 | 9.4 | 8.5 | −1.6 | No |
| P018 | 11.7 | 10.9 | 9.8 | −1.9 | No |
| P019 | 7.8 | 7.2 | 6.7 | −1.1 | Yes |
| P020 | 9.6 | 8.9 | 8.0 | −1.6 | No |
Note. HbA1c values (%) were obtained from laboratory results integrated into the clinic EHR at Baseline (Week 1), Week 4, and Week 8. Change score reflects Week 8 HbA1c minus Baseline HbA1c. Target achievement was defined as HbA1c < 7% per ADA Standards of Care. HbA1c = hemoglobin A1c; ADA = American Diabetes Association.
Table 3
Patient Follow-Up Adherence and Visit Completion Data (N = 20)
| Participant ID | Scheduled Visits (n = 6) | Completed Visits (n) | Missed Visits (n) | Telehealth Visits Used | Completion Rate (%) |
|---|---|---|---|---|---|
| P001 | 6 | 6 | 0 | 1 | 100 |
| P002 | 6 | 5 | 1 | 0 | 83 |
| P003 | 6 | 6 | 0 | 2 | 100 |
| P004 | 6 | 4 | 2 | 1 | 67 |
| P005 | 6 | 6 | 0 | 0 | 100 |
| P006 | 6 | 5 | 1 | 2 | 83 |
| P007 | 6 | 6 | 0 | 1 | 100 |
| P008 | 6 | 6 | 0 | 0 | 100 |
| P009 | 6 | 5 | 1 | 1 | 83 |
| P010 | 6 | 4 | 2 | 2 | 67 |
| P011 | 6 | 6 | 0 | 0 | 100 |
| P012 | 6 | 6 | 0 | 1 | 100 |
| P013 | 6 | 5 | 1 | 0 | 83 |
| P014 | 6 | 6 | 0 | 2 | 100 |
| P015 | 6 | 6 | 0 | 0 | 100 |
| P016 | 6 | 5 | 1 | 1 | 83 |
| P017 | 6 | 6 | 0 | 1 | 100 |
| P018 | 6 | 4 | 2 | 2 | 67 |
| P019 | 6 | 6 | 0 | 0 | 100 |
| P020 | 6 | 5 | 1 | 1 | 83 |
Note. Biweekly follow-up visits were scheduled over the 8-week implementation period (6 visits per patient). Telehealth visits were offered to patients with mobility or transportation barriers. Completion rate = (completed visits / 6) x 100.
Table 4
Nursing Staff Competency Assessment Results (N = 8)
| Staff ID | Role | Pre-Training Score (/100) | Post-Training Score (/100) | Score Change | Threshold Met (≥80%) | Checklist Completion (%) |
|---|---|---|---|---|---|---|
| S001 | Nurse Practitioner | 62 | 88 | +26 | Yes | 95 |
| S002 | Nurse Practitioner | 58 | 84 | +26 | Yes | 92 |
| S003 | Nurse Practitioner | 65 | 91 | +26 | Yes | 98 |
| S004 | Medical Assistant | 50 | 78 | +28 | No | 85 |
| S005 | Medical Assistant | 55 | 83 | +28 | Yes | 88 |
| S006 | Care Coordinator | 60 | 86 | +26 | Yes | 94 |
| S007 | Health Educator | 70 | 93 | +23 | Yes | 97 |
| S008 | Medical Assistant | 52 | 80 | +28 | Yes | 89 |
Note. The diabetes management competency assessment instrument was validated and administered at Week 1 and Week 8, with pre-training scores and post-training scores obtained. The pre-defined competency success criterion for this competency was 80% or higher. Checklist completion indicates the percentage of randomly audited patient visits documented completely and accurately.
Table 5
Patient Self-Management Behavior Checklist — Week 8 (N = 20)
| Participant ID | Blood Glucose Monitoring (Daily) | Medication Adherence (Self-Report) | Diet/Nutrition Log Completed | Physical Activity Goal Met | Engagement Score (/10) |
|---|---|---|---|---|---|
| P001 | Yes | Yes | Yes | Partial | 8 |
| P002 | Partial | Yes | No | No | 5 |
| P003 | Yes | Yes | Yes | Yes | 9 |
| P004 | No | Partial | No | No | 4 |
| P005 | Yes | Yes | Yes | Yes | 10 |
| P006 | Partial | Yes | Yes | Partial | 7 |
| P007 | Yes | Yes | Yes | Yes | 10 |
| P008 | Yes | Yes | Partial | Yes | 8 |
| P009 | Yes | Yes | Yes | Partial | 8 |
| P010 | No | Partial | No | No | 3 |
| P011 | Yes | Yes | Yes | Yes | 9 |
| P012 | Yes | Yes | Yes | Partial | 8 |
| P013 | Partial | Yes | Partial | Yes | 7 |
| P014 | Partial | Yes | Yes | Partial | 7 |
| P015 | Yes | Yes | Yes | Yes | 10 |
| P016 | Yes | Yes | Yes | Yes | 9 |
| P017 | Partial | Partial | Yes | No | 6 |
| P018 | No | Partial | No | No | 3 |
| P019 | Yes | Yes | Yes | Yes | 10 |
| P020 | Yes | Yes | Yes | Partial | 8 |
Note. Patients reported their own self-management behavior at an 8-week post-visit using the standardized self-management checklist. Nursing staff assigned an engagement score, ranging from 0 to 10, based on patient participation, responsiveness, and adherence during the 8 weeks. Partial = behavior was occasionally done, but not always.
Table 6
Summary Statistics: Project Implementation Outcomes
Metric | Value |
Total patients enrolled (N) | 20 |
Mean baseline HbA1c (%) | 9.95 |
Mean Week 8 HbA1c (%) | 8.22 |
Mean HbA1c reduction | −1.52% |
Patients achieving HbA1c < 7% at Week 8, n (%) | 2 (10%) |
Overall follow-up completion rate | 89.2% |
Staff achieving >= 80% competency threshold, n (%) | 7 (87.5%) |
Mean staff pre-training score | 59.0 |
Mean staff post-training score | 85.4 |
Patients reporting full medication adherence, n (%) | 14 (70%) |
Patients with complete blood glucose monitoring, n (%) | 13 (65%) |
Note. Summary statistics were calculated from EHR data, competency assessments, and patient self-management checklists collected across the 8-week implementation period. HbA1c = hemoglobin A1c; T2DM = type 2 diabetes mellitus.
Data Collection Notes
Structured EHR queries, standardized competency assessment, and patient self-management checklist was used for prospective data collection at two measurement points: baseline (Week 1) and post-intervention (Week 8). Only 67% (3 patients) attended 6 visits. These patients had transportation barriers, and they were allowed to be connected via telehealth, but opted out, or connectivity was a problem. The HbA1c data were available at all three time points via in-person visits. All patient records (n = 20) were reviewed for documentation consistency. One staff member (S004) did not achieve the≥80% threshold after the post-training and was offered remedial coaching, and a follow-up assessment was planned. The data in this report have been anonymized as required by HIPAA. Patient names and medical record numbers are not stored on unencrypted patient devices, but are kept on clinic servers that are only accessible by the project team and preceptor and password-protected.
References
References for the Assessment 1 will be uploaded soon. Please check back at a later time.




