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It is unclear whether the high burden of COPD in rural areas is related to worse outcomes in patients with COPD or is because the prevalence of COPD is higher in rural areas. We assessed the association of rural living with acute exacerbations of COPD (AECOPDs)-related hospitalization and mortality. We retrospectively analyzed Veterans Affairs (VA) and Medicare data of a nationwide cohort of veterans with COPD aged ≥ 65 years with COPD diagnosis between 2011 and 2014 that had follow-up data until 2017. Patients were categorized based on residential location into urban, rural, and isolated rural. We used generalized linear and Cox proportional hazards models to assess the association of residential location with AECOPD-related hospitalizations and long-term mortality. Of 152,065 patients, 80,162 (52.7%) experienced at least one AECOPD-related hospitalization. After adjusting for demographics and comorbidities, rural living was associated with fewer hospitalizations (relative risk-RR = 0.90; 95% CI: 0.89–0.91; P < 0.001) but isolated rural living was not associated with hospitalizations. Only after accounting for travel time to the closest VA medical center, neighborhood disadvantage, and air quality, isolated rural living was associated with more AECOPD-related hospitalizations (RR = 1.07; 95% CI: 1.05–1.09; P < 0.001). Mortality did not vary between rural and urban living patients. Our findings suggest that other aspects than hospital care may be responsible for the excess of hospitalizations in isolated rural patients like poor access to appropriate outpatient care.

Background Previous studies of hospital readmission have focused on specific conditions or populations and generated complex prediction models. Objective To identify predictors of early hospital readmission in a diverse patient population and derive and validate a simple model for identifying patients at high readmission risk. Design Prospective observational cohort study. Patients Participants encompassed 10,946 patients discharged home from general medicine services at six academic medical centers and were randomly divided into derivation (n = 7,287) and validation (n = 3,659) cohorts. Measurements We identified readmissions from administrative data and 30-day post-discharge telephone follow-up. Patient-level factors were grouped into four categories: sociodemographic factors, social support, health condition, and healthcare utilization. We performed logistic regression analysis to identify significant predictors of unplanned readmission within 30 days of discharge and developed a scoring system for estimating readmission risk. Results Approximately 17.5% of patients were readmitted in each cohort. Among patients in the derivation cohort, seven factors emerged as significant predictors of early readmission: insurance status, marital status, having a regular physician, Charlson comorbidity index, SF12 physical component score, ≥1 admission(s) within the last year, and current length of stay >2 days. A cumulative risk score of ≥25 points identified 5% of patients with a readmission risk of approximately 30% in each cohort. Model discrimination was fair with a c-statistic of 0.65 and 0.61 for the derivation and validation cohorts, respectively. Conclusions Select patient characteristics easily available shortly after admission can be used to identify a subset of patients at elevated risk of early readmission. This information may guide the efficient use of interventions to prevent readmission.

The COVID-19 pandemic highlighted the importance of telemedicine in health care. However, video telemedicine requires adequate broadband internet speeds. As video-based telemedicine grows, variations in broadband access must be accurately measured and characterized. This study aims to compare the Federal Communications Commission (FCC) and Microsoft US broadband use data sources to measure county-level broadband access among veterans receiving mental health care from the Veterans Health Administration (VHA). Retrospective observational cohort study using administrative data to identify mental health visits from January 1, 2019, to December 31, 2020, among 1161 VHA mental health clinics. The exposure is county-level broadband percentages calculated as the percentage of the county population with access to adequate broadband speeds (ie, download >25 megabits per second) as measured by the FCC and Microsoft. All veterans receiving VHA mental health services during the study period were included and categorized based on their use of video mental health visits. Broadband access was compared between and within data sources, stratified by video versus no video telemedicine use. Over the 2-year study period, 1,474,024 veterans with VHA mental health visits were identified. Average broadband percentages varied by source (FCC mean 91.3%, SD 12.5% vs Microsoft mean 48.2%, SD 18.1%; P<.001). Within each data source, broadband percentages generally increased from 2019 to 2020. Adjusted regression analyses estimated the change after pandemic onset versus before the pandemic in quarterly county-based mental health visit counts at prespecified broadband percentages. Using FCC model estimates, given all other covariates are constant and assuming an FCC percentage set at 70%, the incidence rate ratio (IRR) of county-level quarterly mental video visits during the COVID-19 pandemic was 6.81 times (95% CI 6.49-7.13) the rate before the pandemic. In comparison, the model using Microsoft data exhibited a stronger association (IRR 7.28; 95% CI 6.78-7.81). This relationship held across all broadband access levels assessed. This study found FCC broadband data estimated higher and less variable county-level broadband percentages compared to those estimated using Microsoft data. Regardless of the data source, veterans without mental health video visits lived in counties with lower broadband access, highlighting the need for accurate broadband speeds to prioritize infrastructure and intervention development based on the greatest community-level impacts. Future work should link broadband access to differences in clinical outcomes.

Background The Veterans Affairs (VA) Clinical Resource Hub (CRH) program aims to improve patient access to care by implementing time-limited, regionally based primary or mental health staffing support to cover local staffing vacancies. VA’s Office of Primary Care (OPC) designed CRH to support more than 1000 geographically disparate VA outpatient sites, many of which are in rural areas, by providing virtual contingency clinical staffing for sites experiencing primary care and mental health staffing deficits. The subsequently funded CRH evaluation, carried out by the VA Primary Care Analytics Team (PCAT), partnered with CRH program leaders and evaluation stakeholders to develop a protocol for a six-year CRH evaluation. The objectives for developing the CRH evaluation protocol were to prospectively: 1) identify the outcomes CRH aimed to achieve, and the key program elements designed to achieve them; 2) specify evaluation designs and data collection approaches for assessing CRH progress and success; and 3) guide the activities of five geographically dispersed evaluation teams. Methods The protocol documents a multi-method CRH program evaluation design with qualitative and quantitative elements. The evaluation’s overall goal is to assess CRH’s return on investment to the VA and Veterans at six years through synthesis of findings on program effectiveness. The evaluation includes both observational and quasi-experimental elements reflecting impacts at the national, regional, outpatient site, and patient levels. The protocol is based on program evaluation theory, implementation science frameworks, literature on contingency staffing, and iterative review and revision by both research and clinical operations partners. Discussion Health systems increasingly seek to use data to guide management and decision-making for newly implemented clinical programs and policies. Approaches for planning evaluations to accomplish this goal, however, are not well-established. By publishing the protocol, we aim to increase the validity and usefulness of subsequent evaluation findings. We also aim to provide an example of a program evaluation protocol developed within a learning health systems partnership.

Introduction The study objective was to estimate the prevalence of chronic hypercapnic respiratory failure (CHRF) and home noninvasive ventilation (NIV) use in a high‐risk population, individuals with a history of at least one COPD‐related hospitalizations. Methods We retrospectively analyzed electronic medical record data of patients with at least one COPD‐related hospitalization between October 1, 2011, and September 30, 2017, to the Iowa City VA Medical Center. We excluded individuals with no obstructive ventilatory defect. Results Of 186 patients, the overall prevalence of compensated hypercapnic respiratory failure (CompHRF), defined as PaCO2 > 45 mmHg with a pH = 7.35–7.45, was 52.7%, while the overall prevalence of home NIV was 4.3%. The prevalence of CompHRF was 43.6% and home NIV was 1.8% in those with one COPD‐related hospitalization. Among those with ≥4 COPD‐related hospitalizations, the prevalence of CompHRF was 77.8% (14 of 18), and home NIV was 11.1% (2 of 18). Conclusion Approximately half of individuals with at least one COPD‐related hospitalization have CompHRF, but only 8.2% of those use home NIV. Future studies should estimate CHRF rates and the degree of underutilization of home NIV in larger multicenter samples. Approximately half of individuals with at least one COPD‐related hospitalization have hypercapnia, but only 8.2% of those use home noninvasive ventilation. Future studies should estimate chronic hypercapnic respiratory failure rates and the degree of underutilization of home noninvasive ventilation in larger multicenter samples and identify barriers and facilitators for home noninvasive ventilation use in patients with COPD‐related hospitalizations.

Background Pharmacists may improve medication-related outcomes during transitions of care. The aim of the Iowa Continuity of Care Study was to determine if a pharmacist case manager (PCM) providing a faxed discharge medication care plan from a tertiary care institution to primary care could improve medication appropriateness and reduce adverse events, rehospitalization and emergency department visits. Methods Design . Randomized, controlled trial of 945 participants assigned to enhanced, minimal and usual care groups conducted 2007 to 2012. Subjects . Participants with cardiovascular-related conditions and/or asthma or chronic obstructive pulmonary disease were recruited from the University of Iowa Hospital and Clinics following admission to general medicine, family medicine, cardiology or orthopedics. Intervention . The minimal group received admission history, medication reconciliation, patient education, discharge medication list and medication recommendations to inpatient team. The enhanced group also received a faxed medication care plan to their community physician and pharmacy and telephone call 3–5 days post-discharge. Participants were followed for 90 days post-discharge. Main Outcomes and Measures . Medication appropriateness index (MAI), adverse events, adverse drug events and post-discharge healthcare utilization were compared by study group using linear and logistic regression, as models accommodating random effects due to pharmacists indicated little clustering. Results Study groups were similar at baseline and the intervention fidelity was high. There were no statistically significant differences by study group in medication appropriateness, adverse events or adverse drug events at discharge, 30-day and 90-day post-discharge. The average MAI per medication as 0.53 at discharge and increased to 0.75 at 90 days, and this was true across all study groups. Post-discharge, about 16% of all participants experienced an adverse event, and this did not differ by study group (p > 0.05). Almost one-third of all participants had any type of healthcare utilization within 30 days post-discharge, where 15% of all participants had a 30-day readmission. Healthcare utilization post-discharge was not statistically significant different at 30 or 90 days by study group. Conclusion The pharmacist case manager did not affect medication use outcomes post-discharge perhaps because quality of care measures were high in all study groups. Trial registration Clinicaltrials.gov registration: NCT00513903 , August 7, 2007.

Interfacility transfers from rural emergency departments (EDs) are an important means of access to timely and specialized care. Our goal was to identify and explore facilitators and barriers in transfer processes and their implications for emergency rural care and access. Semi-structured interviews with ED staff at five rural and two urban Veterans Health Administration (VHA) hospitals were recorded, transcribed, coded, and analyzed using an iterative inductive-deductive approach to identify themes and construct a conceptual framework. From 81 interviews with clinical and administrative staff between March-June 2018, four themes in the interfacility transfer process emerged: 1) patient factors; 2) system resources; and 3) processes and communication for transfers, which culminate in 4) the location decision. Current and anticipated resource limitations were highly influential in transfer processes, which were described as burdensome and diverting resources from clinical care for emergency patients. Location decision was highly influenced by complexity of the transfer process, while perceived quality at the receiving location or patient preferences were not reported in interviews as being primary drivers of location decision. Transfers were described as burdensome for patients and their families. Finally, patients with mental health conditions epitomized challenges of emergency transfers. Interfacility transfers from rural EDs are multifaceted, resource-driven processes that require complex coordination. Anticipated resource needs and the transfer process itself are important determinants in the location decision, while quality of care or patient preferences were not reported as key determinants by interviewees. These findings identify potential benefits from tracking transfer boarding as an operational measure, directed feedback regarding outcomes of transferred patients, and simplified transfer processes.

We explored the relationship between rural residency and in-hospital mortality in patients hospitalized with COPD exacerbations. We retrospectively analyzed COPD hospitalizations from 2011 to 2017 at 124 acute care Veterans Health Administration (VHA) hospitals in the US. Patient residence was classified using Rural Urban Commuting Area codes as urban, rural, or isolated rural. We stratified patient hospitalizations into quartiles by travel time from patient residence to the nearest VHA primary care provider clinic and hospital. Multivariate analyses utilized generalized estimating equations with a logit link accounting for repeated hospitalizations among patients and adjusting for patient- and hospital-level characteristics. Of 64,914 COPD hospitalizations analyzed, 43,549 (67.1%) were for urban, 18,673 (28.8%) for rural, and 2,692 (4.1%) for isolated rural veterans. In-hospital mortality was 4.9% in urban, 5.5% in rural, and 5.2% in isolated rural veterans ( =0.008). Thirty-day mortality was 8.3% in urban, 9.9% in rural, and 9.2% in isolated rural veterans ( <0.001). Travel time to a primary care provider and VHA hospital was not associated with in-hospital mortality among isolated rural and rural veterans. In the multivariable analysis, compared to urban veterans, isolated rural patients did not have increased mortality. Rural residence was not associated with in-hospital (OR=0.87; 95% CI=0.67-1.12, =0.28) but was associated with increased 30-day mortality (OR=1.13; 95% CI=1.04-1.22, =0.002). Transfer from another acute care hospital (OR=14.97; 95% CI=9.80-17.16, <0.001) or an unknown/other facility (OR=33.05; 95% CI=22.66-48.21, <0.001) were the strongest predictors of increased in-hospital mortality compared to patients coming from the outpatient sector. Transfer from another acute care facility was also a risk factor for 30-day mortality. Potential gaps in post-discharge care of rural veterans may be responsible for the rural-urban disparities. Further research should investigate the exact mechanism that inter-hospital transfers affect mortality.

Background Cardiac rehabilitation (CR) programs provide significant benefit for people with cardiovascular disease. Despite these benefits, such services are not universally available. We designed and evaluated a national home-based CR (HBCR) program in the Veterans Health Administration (VHA). The primary aim of the study was to examine barriers and facilitators associated with site-level implementation of HBCR . Methods This study used a convergent parallel mixed-methods design with qualitative data to analyze the process of implementation, quantitative data to determine low and high uptake of the HBCR program, and the integration of the two to determine which facilitators and barriers were associated with adoption. Data were drawn from 16 VHA facilities, and included semi-structured interviews with multiple stakeholders, document analysis, and quantitative analysis of CR program attendance codes. Qualitative data were analyzed using the Consolidated Framework for Implementation Research codes including three years of document analysis and 22 interviews. Results Comparing high and low uptake programs, readiness for implementation (leadership engagement, available resources, and access to knowledge and information), planning, and engaging champions and opinion leaders were key to success. High uptake sites were more likely to seek information from the external facilitator, compared to low uptake sites. There were few adaptations to the design of the program at individual sites. Conclusion Consistent and supportive leadership, both clinical and administrative, are critical elements to getting HBCR programs up and running and sustaining programs over time. All sites in this study had external funding to develop their program, but high adopters both made better use of those resources and were able to leverage existing resources in the setting. These data will inform broader policy regarding use of HBCR services.