Availability and Quality of Dialysis Care in Rural versus Urban US Counties.

INTRODUCTION: Rural areas face significant disparities in dialysis care compared to urban areas due to limited access to dialysis facilities, longer travel distances, and a shortage of healthcare professionals. The objective of this study was to conduct a national examination of rural-urban differences in quality of dialysis care offered across counties in the USA. METHODS: Data were gathered from Medicare-certified dialysis facilities in 2020 from the Centers for Medicare and Medicaid Services website. To identify high-need counties, county-level estimated crude prevalence of diabetes in adults was obtained from the 2022 CDC PLACES data portal. Our analysis reviewed 3,141 counties in the USA. The primary outcome measured was whether the county had a dialysis facility. Among those counties that had a dialysis facility, additional outcomes were the average star rating, whether peritoneal dialysis was offered, and whether home dialysis was offered. RESULTS: The type of services offered by dialysis facilities varied significantly, with peritoneal dialysis being the most commonly offered service (50.8%), followed by home hemodialysis (28.5%) and late-shift services (16.0%). These service availabilities are more prevalent in urban facilities than in rural facilities. The Centers for Medicare and Medicaid Services Five Star Quality ratings were quite different between urban and rural facilities, with 40.4% of rural facilities having a ranking of five, compared to 27.1% in urban. CONCLUSION: The majority of rural counties lack a single dialysis facility. Counties with high rates of chronic kidney disease, diabetes, and blood pressure, deemed high need, were less likely to have a highly rated dialysis facility. The findings can be used to further inform targeted efforts to increase diabetes educational programming and design appropriate interventions to those residing in rural communities and high-need counties who may need it the most.

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.

BACKGROUND: The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Beyond COVID-19, data harmonisation and common approaches enable analysis within and across independent Trusted Research Environments. Here we describe the reproducible harmonisation method developed using large-scale EHRs in Wales to accommodate the fast and efficient implementation of cross-nation analysis in England and Wales as part of the CVD-COVID-UK programme. We characterise current challenges and share lessons learnt. METHODS: Serving the scope and scalability of multiple study protocols, we used linked, anonymised individual-level EHR, demographic and administrative data held within the SAIL Databank for the population of Wales. The harmonisation method was implemented as a four-layer reproducible process, starting from raw data in the first layer. Then each of the layers two to four is framed by, but not limited to, the characterised challenges and lessons learnt. We achieved curated data as part of our second layer, followed by extracting phenotyped data in the third layer. We captured any project-specific requirements in the fourth layer. RESULTS: Using the implemented four-layer harmonisation method, we retrieved approximately 100 health-related variables for the 3.2 million individuals in Wales, which are harmonised with corresponding variables for > 56 million individuals in England. We processed 13 data sources into the first layer of our harmonisation method: five of these are updated daily or weekly, and the rest at various frequencies providing sufficient data flow updates for frequent capturing of up-to-date demographic, administrative and clinical information. CONCLUSIONS: We implemented an efficient, transparent, scalable, and reproducible harmonisation method that enables multi-nation collaborative research. With a current focus on COVID-19 and its relationship with cardiovascular outcomes, the harmonised data has supported a wide range of research activities across the UK.

Unlocking Population-Specific Treatments to Render Equitable Approaches and Management in Cardiovascular Disease: Development of a Situation-Specific Theory for African American Emerging Adults.

BACKGROUND: Emerging adulthood (18-25 years old) is a distinct developmental period in which multiple life transitions pose barriers to engaging in healthy lifestyle behaviors that reduce cardiovascular disease risk. There is limited theory-based research on African American emerging adults. OBJECTIVE: This article introduces a synthesized empirically testable situation-specific theory for cardiovascular disease prevention in African American emerging adults. METHODOLOGY: Im and Meleis' integrative approach was used to develop the situation-specific theory. RESULTS: Unlocking Population-Specific Treatments to Render Equitable Approach and Management in Cardiovascular Disease is a situation-specific theory developed based on theoretical and empirical evidence and theorists' research and clinical practice experiences. DISCUSSION: African American emerging adults have multifaceted factors that influence health behaviors and healthcare needs. Unlocking Population-Specific Treatments to Render Equitable Approaches and Management in Cardiovascular Disease has the potential to inform theory-guided clinical practice and nursing research. Recommendations for integration in nursing practice, research, and policy advocacy are presented. Further critique and testing of the theory are required.

COVID-19 booster vaccination uptake and infection breakthrough amongst health care workers in Wales: A national prospective cohort study.

BACKGROUND: From September 2021, Health Care Workers (HCWs) in Wales began receiving a COVID-19 booster vaccination. This is the first dose beyond the primary vaccination schedule. Given the emergence of new variants, vaccine waning vaccine, and increasing vaccination hesitancy, there is a need to understand booster vaccine uptake and subsequent breakthrough in this high-risk population. METHODS: We conducted a prospective, national-scale, observational cohort study of HCWs in Wales using anonymised, linked data from the SAIL Databank. We analysed uptake of COVID-19 booster vaccinations from September 2021 to February 2022, with comparisons against uptake of the initial primary vaccination schedule. We also analysed booster breakthrough, in the form of PCR-confirmed SARS-Cov-2 infection, comparing to the second primary dose. Cox proportional hazard models were used to estimate associations for vaccination uptake and breakthrough regarding staff roles, socio-demographics, household composition, and other factors. RESULTS: We derived a cohort of 73,030 HCWs living in Wales (78% female, 60% 18-49 years old). Uptake was quickest amongst HCWs aged 60 + years old (aHR 2.54, 95%CI 2.45-2.63), compared with those aged 18-29. Asian HCWs had quicker uptake (aHR 1.18, 95%CI 1.14-1.22), whilst Black HCWs had slower uptake (aHR 0.67, 95%CI 0.61-0.74), compared to white HCWs. HCWs residing in the least deprived areas were slightly quicker to have received a booster dose (aHR 1.12, 95%CI 1.09-1.16), compared with those in the most deprived areas. Strongest associations with breakthrough infections were found for those living with children (aHR 1.52, 95%CI 1.41-1.63), compared to two-adult only households. HCWs aged 60 + years old were less likely to get breakthrough infections, compared to those aged 18-29 (aHR 0.42, 95%CI 0.38-0.47). CONCLUSION: Vaccination uptake was consistently lower among black HCWs, as well as those from deprived areas. Whilst breakthrough infections were highest in households with children.

Curriculum and teaching methodologies that effectively refine DNP students' project proposals.

BACKGROUND: Despite early and continuing development of guidelines and frameworks by scholars and others, including AACN, to streamline the DNP project process, incorporation of DNP project resources into educational practice remains impeded. PURPOSE: To share a curricular innovation and specific teaching methodologies aimed at refining DNP students' project proposals. METHODS: Faculty developed a new DNP project proposal course utilizing low stakes writing assignments with feedback to elevate student learning and performance. RESULTS: Midterm evaluation allowed students to provide feedback and faculty to make course or assignments changes. End-of-course evaluation score showed the new course was above the overall college mean. The new course was associated with an increased number of successful DNP project defenses over previous methods. CONCLUSION: Implementing a structured DNP project proposal course is a successful and sustainable strategy and results in a streamlined approach and a more manageable pathway to complete DNP projects.

Recommendations for evolving a doctor of nursing practice program.

As Doctor of Nursing Practice (DNP) programs have evolved within the nursing profession and nursing academia over the last 20 years, pedagogy and curriculum in DNP education have also continued to evolve. Educational innovation requires continuous assessment to ensure quality and efficacy are maintained. Using the Knowledge to Action (KTA) framework, we adapted the knowledge regarding best practices in a DNP program to fit our College of Nursing needs, our community of learners, and sustain this process improvement by implementing programmatic changes that enhanced the quality and rigor of the DNP program. A newly formed task force identified barriers and opportunities including lack of DNP-prepared faculty, changes needed to the scholarly project paper, revision of the DNP curricula, and a need for a mentor group model to replace the traditional committee structure. Recommendations to strengthen DNP programs include choosing a process model or framework to serve as a guideline for program evaluation and improvement, create a faculty-led task force that continuously monitors program elements, and conduct annual mini retreats to facilitate faculty discussion and review of program elements.

A methodology to facilitate critical care research using multiple linked electronic, clinical and administrative health records at population scale.

Introduction: Critical Care is a specialty in medicine providing a service for severely ill and high-risk patients who, due to the nature of their condition, may require long periods recovering after discharge. Consequently, focus on the routine data collection carried out in Intensive Care Units (ICUs) leads to reporting that is confined to the critical care episode and is typically insensitive to variation in individual patient pathways through critical care to recovery.A resource which facilitates efficient research into interactions with healthcare services surrounding critical admissions, capturing the complete patient's healthcare trajectory from primary care to non-acute hospital care prior to ICU, would provide an important longer-term perspective for critical care research. Objective: To describe and apply a reproducible methodology that demonstrates how both routine administrative and clinically rich critical care data sources can be integrated with primary and secondary healthcare data to create a single dataset that captures a broader view of patient care. Method: To demonstrate the INTEGRATE methodology, it was applied to routine administrative and clinical healthcare data sources in the Secure Anonymised Data Linking (SAIL) Databank to create a dataset of patients' complete healthcare trajectory prior to critical care admission. SAIL is a national, data safe haven of anonymised linkable datasets about the population of Wales. Results: When applying the INTEGRATE methodology in SAIL, between 2010 and 2019 we observed 91,582 critical admissions for 76,019 patients. Of these, 90,632 (99%) had an associated non-acute hospital admission, 48,979 (53%) had an emergency admission, and 64,832 (71%) a primary care interaction in the week prior to the critical care admission. Conclusion: This methodology, at population scale, integrates two critical care data sources into a single dataset together with data sources on healthcare prior to critical admission, thus providing a key research asset to study critical care pathways.

Discovering metformin-induced vitamin B12 deficiency in patients with type 2 diabetes in primary care.

BACKGROUND: Although metformin is the preferred initial pharmacological choice in type 2 diabetes, there is evidence that reveals a link between metformin use and vitamin B12 deficiency. The American Diabetes Association (ADA) has recently recommended periodic measurement of B12 levels for all patients on metformin. LOCAL PROBLEM: Medical record data collected for the preintervention period showed that only 5% (n = 23) of patients diagnosed with diabetes and on metformin had B12 levels checked at an internal medicine primary care practice. METHODS: This was a quasi-experimental project of preintervention and postintervention design using a checklist containing important measures of diabetes control. The project sample population consisted of data of adults with type 2 diabetes aged 18 years and older who were prescribed metformin in the previous year at the primary care practice. INTERVENTIONS: The intervention focused on revising an existing diabetes measures checklist to include a prompt for an annual measurement of B12 levels. RESULTS: There was significant improvement in monitoring vitamin B12 levels and discovery of low vitamin B12 levels. These data show that the number of B12 levels checked increased from 23 during the preintervention to 155 during the intervention (p ≤ 0.0000). CONCLUSIONS: This project supports a conclusion that including a prompt to check B12 levels to an existing checklist increases B12 monitoring in this patient population. Results may encourage other providers to follow the ADA guidelines for monitoring vitamin B12 levels for patients taking metformin.