Mixed-Methods Analysis of Community-Building Activities in Minnesota Hospitals.

Nonprofit hospitals are required to annually report spending on community-building activities (CBAs) to the Internal Revenue Service. CBAs are actions that address root causes of community health problems such as housing and food insecurity. While addressing these issues is important regardless of location, CBA spending could particularly benefit rural residents who, on average, experience worse health outcomes. However, national CBA spending has historically been extremely low, potentially due to confusion surrounding reporting. This explanatory mixed-methods study sought to illuminate nonprofit hospital spending patterns on CBAs in one state, Minnesota, to understand why spending in this important category is so low. Authors first conducted quantitative analyses of publicly available tax return data for the year 2019' which revealed no statistically significant differences in CBA spending by rural location or hospital system affiliation. Authors then performed a case study of the top spending hospitals' narrative statements provided in nonprofit hospital tax return documents and found significant variation in what is reported as a CBA. We suggest CBA spending be reported differently to reduce confusion and render tax documents more accurate portrayals of nonprofit hospital spending, thereby providing policymakers with needed information to ensure nonprofit hospitals are financially supporting community health.

Rural-Urban Differences in Health Care Unaffordability During the Postpartum Period.

OBJECTIVE: The objective of this study was to examine health care unaffordability for rural and urban residents and by postpartum status. METHODS: We used cross-sectional survey data on female-identifying respondents ages 18-44 (n=17,800) from the 2019 to 2021 National Health Interview Study. Outcomes of interest were 3 measures of health care unaffordability. We conducted bivariate and multivariable regression models to assess the association between health care unaffordability, rurality, and postpartum status. RESULTS: Bivariate analyses showed postpartum people reported statistically significantly higher rates of being unable to pay medical bills and having problems medical paying bills, as compared with nonpostpartum people. Rural residents also reported statistically significantly higher rates of being unable to pay their medical bills and having problems paying medical bills as compared with urban residents. In adjusted models, the predicted probability of being unable to pay medical bills among postpartum respondents was 12.8% (CI, 10.1-15.5), which was statistically significantly higher than among nonpostpartum respondents. Similarly, postpartum respondents had statistically significantly higher predicted probabilities of reporting problems paying medical bills (18.4%, CI, 15.4-21.4) as compared with nonpostpartum respondents. The rural residency was not significantly associated with the health care unaffordability outcome measures in adjusted models. CONCLUSIONS: Both postpartum and rural respondents reported higher rates of being unable to pay medical bills and having problems paying medical bills; however, after adjusting for covariates, only postpartum respondents reported statistically significantly higher rates of these outcomes. These results suggest that postpartum status may present challenges to health care affordability that span the urban/rural context.

Understanding the Aggressive Practices of Nonprofit Hospitals in Pursuit of Patient Debt.

Nonprofit hospitals have attracted scrutiny for aggressive collection activities against patients, which persist despite the Patient Protection and Affordable Care Act's attempt to limit particularly egregious practices, called "extraordinary collection actions" (ECAs). This study examines the prevalence of ECAs and characteristics of nonprofit hospitals that reported this behavior as of 2016. Using Community Benefit Insight data, characteristics of hospitals that reported ECAs are compared with hospitals that did not report these practices. ECAs include reporting patient debt to credit agencies, filing lawsuits, placing liens on residences, and issuing civil arrest. Predictors of ECAs among nonprofit hospitals are identified using logistic regression analysis. The prevalence of ECAs is examined for the 2010-2016 time period, and nonprofit hospitals that reported ECAs are mapped to show the geographic distribution. Hospitals reporting ECAs significantly differed in total revenue, system membership, bed size, urban location, financial assistance policy use, and use of poverty guidelines for discounted care. In full logistic regression models, lower total hospital revenue was a significant predictor of ECAs. As social workers, it is vital to understand the landscape of nonprofit hospital collection actions to advocate for policy that protects patients from predatory practices while holding nonprofit hospitals accountable.

Information Needs for Treatment Decision-making of Hematopoietic Cell Transplant Patients 65 Years or Older and Caregivers.

Hematopoietic cell transplantation (HCT) is a complex and potentially life-threatening treatment option for patients with hematologic malignant and non-malignant diseases. Advances have made HCT a potentially curative treatment option for patients 65 years of age and older (older patients), and patient education resources should be adapted to meet their needs. To better understand the information needs of older patients and their caregivers for HCT treatment decision-making, the National Marrow Donor Program® (NMDP)/Be The Match® conducted a qualitative comprehensive needs assessment. Focus groups, offered in person or by phone, were conducted with older HCT patients and primary caregivers of older HCT patients at three transplant centers in the USA that were selected based on the number of older adults treated and geographic diversity. The one-hour, semi-structured discussions were recorded and transcribed verbatim. The analysis was performed with the NVivo 10 software for identification of conceptual themes. Five telephone and six in person focus groups of patients (n = 35) and caregivers (n = 10) were conducted. Themes that emerged included the following: (1) the need for tailored resources with age-specific recovery expectations; (2) the need for the right amount of information at the right times; and (3) the benefit of peer support. Effective patient education supports learning and treatment decision-making. As HCT increasingly becomes a treatment option for older patients, tailored educational resources are needed. These focus group results can inform and guide the development of new educational resources for older adults with hematologic diseases considering and planning for HCT.

Comparing the Well-Being of Para and Olympic Sport Athletes: A Systematic Review.

This systematic review included 12 studies that compared the well-being of Para and Olympic sport athletes. Meta-analyses revealed that Para athletes, compared with Olympic sport athletes, had lower levels of self-acceptance, indicated by athletic identity, d = 0.47, 95% confidence interval (CI) [0.77, 0.16], and body-image perceptions, d = 0.33, 95% CI [0.59, 0.07], and differed from Olympic sport athletes in terms of their motivation, indicated by a greater mastery-oriented climate, d = 0.74, 95% CI [0.46, 1.03]. Given an inability to pool the remaining data for meta-analysis, individual standardized mean differences were calculated for other dimensions of psychological and subjective well-being. The results have implications for professionals and coaches aiming to facilitate the well-being needs of athletes under their care. Future research would benefit from incorporating established models of well-being based on theoretical rationale combined with rigorous study designs.

Social Determinants and Perinatal Hardships During the COVID-19 Pandemic.

Background: This study examined perinatal experiences of pandemic-related hardships and disparities by race/ethnicity, income, insurance type at childbirth, and urban/rural residency. Materials and Methods: We used cross-sectional survey data from the 2020 Pregnancy Risk Assessment Monitoring System COVID-19 supplement in 26 states, the District of Columbia, and New York City to explore: (1) job loss or cut work hours/pay, (2) having to move/relocate or becoming homeless, (3) problems paying the rent, mortgage, or bills, or (4) worries that food would run out. We estimated the prevalence of outcomes overall and by race/ethnicity, income, insurance, and urban/rural residency. We used weighted multivariable logistic regression models to calculate adjusted predicted probabilities. Results: Due to the COVID-19 pandemic, 31.9% of respondents reported losing their job or having a cut in work hours or pay, 11.2% of respondents had to move/relocate or became homeless, 21.8% had problems paying the rent, mortgage, or bills, and 16.86% reported worries that food would run out. Compared to overall, rates of all hardships were higher among respondents who were non-Hispanic Black, Hispanic, uninsured, or Medicaid insured. The adjusted predicted probability of employment instability, financial hardships, and food insecurity was significantly higher among non-Hispanic Black respondents and respondents who were uninsured. The adjusted predicted probability of all hardships was significantly higher among respondents with Medicaid. Conclusions: Black, Medicaid-insured, and uninsured respondents were particularly vulnerable to perinatal hardships during COVID-19. Our results suggest a need to alleviate the overall and disparate consequences of hardships for individuals who gave birth during the COVID-19 pandemic.

Rural-urban differences in health care unaffordability.

PURPOSE: To compare health care unaffordability in rural versus urban contexts while also examining the impact of sociodemographic/socioeconomic variables on this relationship. METHODS: We examined survey responses from the 2019-2021 National Health Interview Survey (n = 90,761). We conducted chi-squared tests comparing urban and rural subsamples and multivariable logistic regression analyses examining the associations between rurality and 3 measures of health care unaffordability while also including interactions between rurality and individual characteristics of respondents. FINDINGS: In bivariate analyses, compared to their urban counterparts, rural residents were more likely to report problems paying medical bills (15.0% vs 11.5%, P <.001) and being unable to pay medical bills (9.3% vs 7.1%, P < .001). In fully adjusted multivariable regression analyses, rural residents were significantly less likely than their urban counterparts to report being worried about paying medical bills (AOR: .915, CI: .871-.961, P < .001). We found significant interactions between rural residency and insurance type, age, income to poverty ratio, and race/ethnicity for the outcome of problems paying medical bills; and significant interactions between rural residency and income to poverty ratio and race and ethnicity for the outcome of being unable to pay medical bills. CONCLUSION: Rural residents report higher rates of 2 measures of health care unaffordability as compared to their urban counterparts. In multivariable logistic models, rural residency is not associated with higher rates of health care unaffordability; however, significant interactions exist between rural residency and individual variables demonstrating the heterogenous experiences of health care unaffordability based on these intersectional identities.

Access to Health Care for Transgender and Gender-Diverse Adults in Urban and Rural Areas in the United States.

The objective of this study is to examine access to care based on gender identity in urban and rural areas, focusing on transgender and gender diverse (TGD) populations. Data on TGD (n = 1,678) and cisgender adults (n = 403,414) from the 2019 to 2020 Behavioral Risk Factor Surveillance System were used. Outcome measures were four barriers to care. We conducted bivariate and multivariable logistic regressions to assess associations between access, rurality, and gender identity. Bivariate results show that TGD adults were significantly more likely to experience three barriers to care. In multivariable models, TGD adults were more likely to delay care due to cost in the full sample (adjusted odds ratio [AOR]: 2.00, p < .001), rural subsample (AOR: 2.14, p < .01), and urban subsample (AOR: 1.97, p < .01). This study revealed greater barriers to care for TGD adults, with the most frequent barriers found among rural TGD adults. Increased provider awareness and structural policy changes are needed to achieve health equity for rural TGD populations.

Unmet Needs for Help With Mobility Limitations Among Older Adults Aging in Place: The Role of Rurality.

OBJECTIVES: This study identifies differences in unmet mobility needs among older adults living in rural versus urban areas. METHODS: We used data from Round 9 of the National Health and Aging Trends Study (NHATS), limiting our analyses to respondents who had not moved since baseline (average housing tenure of 27 years; n = 3343). We conducted bivariate and multivariate analyses to detect rural/urban differences in unmet mobility needs, adjusting for socio-demographics, health status, and housing characteristics. RESULTS: Rural residence was associated with higher odds of any unmet mobility needs for older adults aging in place (adjusted odds ratio: 1.64, 95% confidence interval: 1.10-2.44, p < .05). The relationship between rurality and unmet needs for help with mobility limitations remained significant in fully adjusted models. DISCUSSION: Rural older adults aging in place have greater unmet needs for help with mobility limitations. This study highlights several important gaps in supporting rural older adults aging in place.

Decisions to Practice in Rural Areas Among Mental Health Care Professionals.

This survey study assesses factors associated with mental health care professionals choosing to practice in rural locations.