Capella University

NURS FPX 9030 Assessment 4 Manuscript: Draft
Capella University, DNP, NURS-FPX9030

NURS FPX 9030 Assessment 4 Manuscript: Draft

NURS FPX 9030 Assessment 4 Manuscript: Draft Student Name School of Nursing and Health Sciences, Capella University NURS-FPX9030 Doctor of Nursing Practice 4 Professor Name Submission Date   Improving Glycemic Control in Adult Patients with Type 2 Diabetes Through Implementation of a Structured ADA Diabetes Follow-Up Protocol in an Outpatient Primary Care Setting It is important to understand that inadequate glycemic control in adult patients of type 2 diabetes mellitus (DM) is a critical practice gap in the outpatient primary care setting, and the lack of standardized, protocolized follow-up pathways equals loss of education, medication review, and/or preventable complications. Almost half (42%) of adult patients at the project site had a hemoglobin A1c level >9%, and only 36% had a level <7% compared with the national level of about 6% to 7% of adults with diabetes, reflecting poor glycemic control. Despite the American Diabetes Association (ADA) practice guidelines, there are gaps in the implementation of these guidelines in the form of nurse-led follow-up, staff competency, and structured patient education across all primary care settings. The PICOT question the project is focused on is: For nursing staff working with adult patients with diabetes (P), what is the impact of the diabetes follow-up protocol outlined in the ADA (I) as compared to the usual care provided by staff (C) on glycemic control (O) over eight weeks (T)? A structured ADA-aligned follow-up protocol, plus staff competency development and patient self-management education will offer clinically significant improvements in glycemic outcomes and take a step forward in evidence-based chronic disease management in outpatient primary care (Adjei et al., 2025; APRN, personal communication, November 2025). Practice Problem In outpatient primary care, a systematic, evidence-based approach is needed to manage chronic diseases and to raise standards of glycemic control of adults with type 2 diabetes, which are below those of established health system standards. Outpatient primary care clinic data at the site-level indicated that 42% of all adult patients had an APRN, and the APRN indicated that 36% of adult patients had an A1C level below 7 percent (APRN, personal communications, November 2025). The site performance data is well above standard health system benchmarks: for example, nearly 22% of all the nation’s adult population with diabetes has poor glycemic control, and nearly 45% of adults with diabetes have not achieved an HbA1c of less than 7% globally (Adjei et al., 2025; Dinavari et al., 2023). One out of four adults in the U.S. and Europe continues to have a hemoglobin A1c of greater than 9%, reflecting the very poor metabolic control of the individuals (Karmakar et al., 2025). Poor glycemic control in adults seen at outpatient diabetes clinics is mostly attributed to both behavioral and demographic factors, and the need for identification of people at higher risk of poor glycemic control and structured clinical interventions to enhance glycemic control early in life. The quantitative data gathered from the site will provide a basis from which a measurable targeted quality improvement intervention can be implemented at the practicum site (Gomes et al., 2022). A comprehensive review of the current workflow and process flows, staffing, and care coordination practices in the clinical setting is necessary to identify causal factors that can lead to poor glycemic control. Key process failures reported to have a negative impact on glycemic outcomes identified during the project site chart audit and chart documentation of EHR included inconsistent scheduling, inadequate structured follow-up, and variations in education. The follow-up pathway was not standardised or protocolled, resulting in ad hoc follow-up scheduling, variable active use of EHR reminders, and no multidisciplinary coordination, with an impact of delayed medication adjustment and tailored education for those patients most likely to experience complications (APRN, personal communication, November 2025). Follow-up visit completion rates and EHR documentation audits also revealed variations in processes and systems, specifically in patient outreach and follow-up visit scheduling (APRN, personal communication, November 2025). In the past, general diabetes education sessions and periodic evaluations by telehealth were irregularly planned, with no clear evaluation process, resulting in inconsistent learning and teaching quality and incomplete patient understanding. However, the practice gap was confirmed to be due to the absence of a protocolised pathway for follow-up through a comprehensive needs assessment (Dailah, 2024). All of these stakeholders who are impacted by chronic disease management will need to be taken into account to a significant degree to justify timely and systemic intervention to improve the quality of services they receive. Being poorly controlled diabetes has been proven to be associated with higher rates of hospitalization, use of health services, and long-term burden of complications, including heart disease, neuropathy, and preventable hospitalizations; the primary stakeholders affected by this glycemic disparity are nursing staff, adults with diabetes, and organizational leaders (Sun et al., 2025). For nurse-led structured interventions in all outpatient primary care settings, the potential for HbA1c reduction is between 0.4% and 0.9%, and a positive impact on adherence outcomes was well established; in most cases, the timely implementation of effective evidence-based interventions was clinically not justifiable. The Centers for Disease Control and Prevention (CDC, 2024) has reported a continuous gap in glycemic control at the national level, especially among vulnerable and low-income patients; therefore, there is an urgent need to take a prompt step to solve this problem with a standardized approach at the project site. Because of this, and consistent with the site’s mission to deliver accessible, evidence-based primary care, filling the identified practice gap would not only be clinically essential but also a site strategic priority. Project Site Structured chronic disease management interventions are delivered from a variety of outpatient primary care clinics to urban settings. An example of this is the primary care outpatient clinic in NYC on which the project was based. The clinic has a wide range of adult customers from a variety of cultural and socio-economic backgrounds. APRN (personal communication, November 2025) indicates that about 60% of the patients at the clinic suffer long-term illnesses like diabetes and hypertension. Clinics are equipped with six examination

NURS FPX 9030 Assessment 3 Manuscript: Draft
Capella University, DNP, NURS-FPX9030

NURS FPX 9030 Assessment 3 Manuscript: Draft

NURS FPX 9030 Assessment 3 Manuscript: Draft Student Name School of Nursing and Health Sciences, Capella University NURS-FPX9030 Doctor of Nursing Practice 4 Professor Name Submission Date Introduction The identified critical practice gap is the poor glycemic control of adult patients with type 2 diabetes mellitus, as the lack of a well-established protocolized pathway of the follow-up procedure in outpatient primary care settings leads to the lack of opportunities for receiving education and inconsistent medication reviews, as well as the introduction of complications that could have been prevented. In the site of the project, 42 out of 100 of the adult patients reported having a hemoglobin A1c level above 9, and only 36 out of 100 reported a level below 7, which are considerably higher than any nationally recommended values, which is about 22 percent of the U.S. adult patients with diabetes having poor glucose control (APRN, personal communication, November 2025). In areas of primary care, even with the clinical practice guidelines that have been developed by the American Diabetes Association, there still exist gaps in the implementation of nurse-led follow-up, staff competency, and organization of patient education. The PICOT question that will guide the project is as follows: In nursing staff and adult patients with diabetes (P), the intervention of the implementation of the ADA diabetes follow-up protocol (I) as opposed to current practices (C), how does the glycemic control impact (O) over a 8 weeks period (T)? A systematic ADA-based follow-up strategy, involving personnel development of competencies and patient self-management training, will yield clinically significant changes in glycemic results and improve evidence-based chronic disease management in outpatient primary care. Practice Problem Primary treatment of chronic diseases in an outpatient-based management necessitates a scientific, evidence-based method that helps to address the long-standing gap between the glycemic control of adults with type 2 diabetes and the laid-down health system standards. The data gathered on a site level with regard to the primary care clinic (outpatient) revealed that 42% of adult patients reported a hemoglobin A1c of more than 9 percent, and only 36 percent reported a hemoglobin A1c of less than 7 percent (APRN, personal communications, November 2025). At the national level, approximately a quarter of all adults with diabetes has a poor glycemic control, and approximately half of the world adult population with diabetes never reached a 25 centimetre (HbA1c) less than 7, which proves that the data on the site performance is high enough, by far, to meet the national health system indicators (Adjei et al., 2025; Dinavari et al., 2023). A quarter of adults in the U.S and Europe still have a hemoglobin A1C of more than 9 per cent, indicating that the metabolic control of these individuals was extremely poor (Gomes et al., 2022). Behavioral and demographic factors have been blamed as the main causes of poor glycemic control practices in adults who are already in an outpatient diabetes clinic, indicating the need to identify the people who are at high risk of having poor glycemic control early and apply well-structured clinical intervention to regain control (Karmakar et al., 2025). Quantitative information obtained on the site assists in developing a quantifiable foundation of a quality improvement intervention that is aimed at the practicum site. A total assessment of the current workflow, process flows, staffing patterns, and measures of care coordination within the clinical setting is necessary to effectively determine the causal factors that underlie poor glycemic control. The review of charts and documentation of EHR on site showed that inconsistent scheduling, lack of increased follow-up, and inconsistency in delivering education were part of essential process failures that led to sub-optimal glycemic outcomes (APRN, personal communication, November 2025). The absence of a standardized and protocolized follow-up pathway contributed to ad hoc scheduling, inconsistent use of EHR reminders, the lack of multidisciplinary coordination, which caused delay in timely emergency changes in medications, and the individual coloring of patients at the highest risk of complications (APRN, personal communication, November 2025). The rate of follow-up visits and EHR documentation audits further revealed systemic processes malfunctions in visit scheduling and initiation of proactive communication with patients (APRN, personal communication, November 2025). Earlier attempts to enhance the outcomes of diabetes with the help of general education sessions and regular check-ins with a telehealth provider were sporadic in terms of timing and did not include a systematic means of evaluation. Structural quality of teaching was not consistent, and the content of the teaching was not fully comprehended by patients (Dailah, 2024). In this way, a generic needs assessment confirmed the absence of a protocol-based follow-up pathway that serves as the main factor that can be affected by a practice gap. Chronic disease management initiatives that are part of quality improvement initiatives will demand a lot of consideration of the extent to which all the affected stakeholders are impacted to justify ending timely and systemic intervention. The main stakeholders that can be affected by the current glycemic disparities are nursing professionals, diabetes patients, and organizational managers; uncontrolled diabetes has been identified to cause the rise of hospitalization rates, frequency of healthcare usage, and long-term costs of complications of heart disease, neuropathy, and avoidable hospital admissions. Structured interventions and follow-up programs run by nurses have demonstrated significant ability to decrease levels of HbA1c and improve results on adherence, demonstrating that the timely adoption of effective evidence-based interventions was clinically inexcusable and that evidence-based interventions can lead to significant changes in HbA1c levels ranging between 0.4 and 0.9 percentage points (Sun et al., 2025). An endemic disparity in glycemic management at the national level is reported to exist, especially in vulnerable and low-income patients; therefore, the urgent need to intervene with the help of standardized methods at the project location (Centers for Disease Control and Prevention, 2024). To this end, to fill the identified practice gap, it was not only a clinical requirement but also an organizational strategic indicator to fulfill the aims of the proposed primary care mission, which is to be available and

NURS FPX 9030 Assessment 2 Data and Data Analysis
Capella University, DNP, NURS-FPX9030

NURS FPX 9030 Assessment 2 Data and Data Analysis

NURS FPX 9030 Assessment 2 Data and Data Analysis Student Name Capella University NURS-FPX9030: Doctor of Nursing Practice Across the Lifespan III Professor Name Submission Date   Introduction Diabetes mellitus is still one of the most common chronic diseases faced by patients during visits to primary care facilities. Over the last year at the project site, several patients did not achieve good control of diabetes, as evidenced by having 42% of patients with an A1c greater than 9% and only 36% of patients having an A1C less than 7 percent (Chief Nursing Officer, Personal Communication, October 10th, 2020). The percentages are much higher in comparison with national standards of diabetes management because they are around 22 percent of adults with diabetes with poor glycemic control and about 50 percent of them with A1C goals (Adjei et al., 2020; Chief Nursing Officer, Personal Communication, October 10th, 2020). The absence of a standardized, protocolized course of follow-up, with the possibility to at least receive education on diabetes, led to patients not receiving adequate education at all, and missing follow-up opportunities and less than optimal outcomes. To fill the gaps, a quality improvement (QI) initiative was carried out based on the following PICOT question: Among nursing personnel working with adult patients with diabetes (P), the introduction of the ADA diabetes follow-up protocol (I) in comparison with the current practice (C) in terms of its effects on glycemic control (O) in 8 weeks (T)? An eight-week project adopted an American Diabetes Association (ADA) diabetes follow-up protocol and assessed the effects of the protocol on the glycemic outcomes, clinical competency of staff, staff adherence to follow-up, and self-management behaviors in patients. The project design, data collection methods, statistical studies, and findings are reflected in the paper, and the evidence to prove that structured, evidence-based ADA follow-up protocols may lead to clinically significant outcomes in glycemic control is provided. Project Design and Data Collection The pre-post design was utilized by the project team to acquire baseline and post-intervention data of the 20 adult participants and 8 nurses who are enrolled in the project. Before the project started, IRB approval was taken care of, and necessary Health Insurance Portability and Accountability Act (HIPAA) compliance was established; to maintain anonymity, the names of all participants were substituted with coded ones. The pre-post project design is a frequently employed technique within quality improvement tests to analyze the data and accomplishments of well-organized clinical measures. It is based on a pre-post design framework to be an effective measure of the impact of structured intervention on achieving success in real-life healthcare environments (Engelsbel et al., 2024). To yield a valid and reliable measure of clinical outcomes, data collection tools adopted in a quality improvement project need to be valid and reliable to generate an accurate measure of clinical outcomes (Lighterness et al., 2024). Discussing all data collection tools, their content validity was verified as strong, considering evaluation by experts and further consistent use of the same procedures to collect data during the project, which lasted eight weeks. Data Analysis The results obtained at the 8-week follow-up time on the quantitative outcomes were measured using both descriptive statistics to determine the impact of the ADA diabetes follow-up protocol on the glycemic results, the competence of the staff, and the self-management behaviors of the staff. Since there was a need to compare baseline vs. week 8 HbA1c values of the participants, the primary inferential statistics were t-tests to compare the mean differences of one group at two different times. Descriptive statistics (percentage) were produced to sum up the adherence rates to follow up, competency scores of the staff, and the checklist results of self-management. The projects of quality improvement need to be analyzed statistically in order that the team can understand whether the changes in observed outcomes are significant changes in clinical outcomes or mere accidents of chance (Panos and Boeckler, 2023). Moreover, repeated measures (pre and post) can be performed using the same group of participants, which increases the sensitivity of the statistic and sluces individual variability (Chicco et al., 2025). All analyses were performed on de-identified data obtained in the EMR of the clinic and the standardized assessment tools; as a result, all analyses were done in summary tables to be easily interpreted. Project Results All outcome measures improved among the participants who joined the project compared to the measurements of outcomes at baseline. As an example, the mean HbA1c fell 1.52 percentage points (9.95 per cent to 8.22 per cent) in 8 weeks. The respondents who responded were extremely involved in utilizing the structured protocol given to them, according to the follow-up completion rate of 89.2. Following training, 7 of 8 (87.5%) of the nursing staff scored within the 80 percent competency range, with an average score of 59.0 percent before the training and 85.4 percent after training. The mean self-management engagement scores of those who attended week 8 were 7.4 out of 10, with 70% of those attending the week 8 fully compliant with the medications, 65% of those attending the week 8 regularly completing the daily monitoring of blood sugar levels. On the whole, the findings suggest general positive changes concerning the clinical outcome, operational outcome, and behavioral outcome domains of the participants who participated in the project. Tables 1 to 6 in Appendix A contain the results. Project Outcomes The project results evidence suggests that the application of the follow-up protocol offered by the American Diabetes Association (ADA) turned out to be effective in reaching meaningful changes in glycemic control, thus addressing the PICOT question. The resultant HbA1c mean decrease of 1.52 points surpassed the set criteria of success of 0.5 points and was clinically significant. Nonetheless, merely 10% of study participants had reached the target HbA1c (<7%); despite significant improvement observed after 8 weeks of intervention, it is likely that the full target would also need a more extended intervention. Participants had 67% of planned visits delivered because of transportation: this led to adverse glycemic

NURS FPX 9030 Assessment 1 Raw Data Upload
Capella University, DNP, NURS-FPX9030

NURS FPX 9030 Assessment 1 Raw Data Upload

NURS FPX 9030 Assessment 1 Raw Data Upload Student Name Capella University NURS-FPX9030: Doctor of Nursing Practice Across the Lifespan III Professor Name Submission Date Raw Data Upload Diabetes remains one of the greatest chronic diseases that is treated at the primary care level and requires continuous monitoring, planned follow-up, and patient education that is tailored to reduce complications and the burden of the illness. Among the adult diabetic patients within the project site, there is a lack of sufficient glycemic control, as illustrated by 42% of them having HbA1c levels above 9, which points to gaps in the continuity of care, the delivery of health education, and adherence to follow-up. The quality improvement project is informed by the PICOT question below: How can the implementation of the ADA diabetes follow-up protocol (I), compared to the existing practice (C) can influence the glycemic control (O) in 12 weeks (T), in a state of diabetes care in adults (P)? This project team suggests the possibility of adopting an evidence-based follow-up protocol to enhance the competency of the staff and, eventually, to enhance glycemic outcomes, hence proving the value of structured, collaborative, and sustainable practices with diabetes care. The assessment below relates to a set of raw data, which was gathered in the process of a 12-week quality improvement (QI) project aimed at enhancing glycemic control among adult patients with type 2 diabetes (T2DM) in an outpatient primary care setting. The project team used the American Diabetes Association (ADA) suggested diabetes follow-up protocol and evaluated the effect on patient glycemic outcomes, staff clinical competency, patient follow-up compliance, and self-management behaviors. The data below are de-identified. The names of patients were substituted with the ID of the participants (P001-P020). Staff IDs (S001–S008) were used in place of staff names. No personally identifiable information (PII). The information was obtained by the electronic health record (EHR) system and competence assessment tools used by the clinic during the implementation. 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. Study codes have been used to replace all patient identifiers. Some of them were self-reported, including age group, sex, race/ethnicity, and insurance type. Week 1 EHR records revealed T2DM duration and baseline HbA1c. 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 (%) Week 12 HbA1c (%) Change (Baseline to Wk 12) Target Met (<7%) P001 9.8 9.1 8.4 7.6 −2.2 No P002 10.2 9.6 8.8 7.9 −2.3 No P003 8.7 8.1 7.4 6.8 −1.9 Yes P004 11.1 10.3 9.2 8.4 −2.7 No P005 9.4 8.7 7.9 6.9 −2.5 Yes P006 10.8 10.0 9.1 8.2 −2.6 No P007 8.3 7.6 7.0 6.5 −1.8 Yes P008 9.9 9.2 8.3 7.4 −2.5 No P009 8.9 8.3 7.5 6.8 −2.1 Yes P010 11.4 10.7 9.6 8.7 −2.7 No P011 8.5 7.9 7.1 6.6 −1.9 Yes P012 10.6 9.8 8.9 7.8 −2.8 No P013 9.7 9.0 8.2 7.3 −2.4 No P014 10.9 10.2 9.3 8.5 −2.4 No P015 8.2 7.5 6.9 6.4 −1.8 Yes P016 9.3 8.6 7.8 6.9 −2.4 Yes P017 10.1 9.4 8.5 7.6 −2.5 No P018 11.7 10.9 9.8 8.9 −2.8 No P019 7.8 7.2 6.7 6.2 −1.6 Yes P020 9.6 8.9 8.0 7.2 −2.4 No Note.  The laboratory results, which were included in clinic EHR at Baseline (Week 1), Week 4, Week 8, and Week 12, were used to obtain values of HbA1c (percentages). Change score represents Week 12 HbA1c – Baseline HbA1c. Target achievement was set as: HbA1c < 7% 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. The 12-week implementation period was arranged to be followed up biweekly (6 visits per patient). Patients with transport or mobility limitations were provided with telehealth visits. Completion rate = completion visits/ 6, multiplying the result by 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

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