Journal of Rural Health最新文献

Purpose

Intimate partner violence (IPV) is elevated among rural residents and contributes to maternal morbidity and mortality. Postpartum health insurance expansion efforts could address multiple causes of maternal morbidity and mortality, including IPV. The objective of this study was to describe the relationship between perinatal health insurance, IPV, and postpartum abuse screening among rural US residents.

Methods

Using 2016-2020 data on rural residents from the Pregnancy Risk Assessment Monitoring System, we assessed self-report of experiencing physical violence by an intimate partner and rates of abuse screening at postpartum visits. Health insurance at childbirth and postpartum was categorized as private, Medicaid, or uninsured. We also measured insurance transitions from childbirth to postpartum (continuous private, continuous Medicaid, Medicaid to private, and Medicaid to uninsured).

Findings

IPV rates varied by health insurance status at childbirth, with the highest rates among Medicaid beneficiaries (7.7%), compared to those who were uninsured (1.6%) or privately insured (1.6%). When measured by insurance transitions, the highest IPV rates were reported by those with continuous Medicaid coverage (8.6%), followed by those who transitioned from Medicaid at childbirth to private insurance (5.3%) or no insurance (5.9%) postpartum.

Nearly half (48.1%) of rural residents lacked postpartum abuse screening, with the highest proportion among rural residents who were uninsured at childbirth (66.1%) or postpartum (52.1%).

Conclusion

Rural residents who are insured by Medicaid before or after childbirth are at elevated risk for IPV. Medicaid policy efforts to improve maternal health should focus on improving detection and screening for IPV among rural residents.

Purpose

By assessing longitudinal associations between COVID-19 census burdens and hospital characteristics, such as bed size and critical access status, we can explore whether pandemic-era hospital quality benchmarking requires risk-adjustment or stratification for hospital-level characteristics.

Methods

We used hospital-level data from the US Department of Health and Human Services including weekly total hospital and COVID-19 censuses from August 2020 to August 2023 and the 2021 American Hospital Association survey. We calculated weekly percentages of total adult hospital beds containing COVID-19 patients. We then calculated the number of weeks each hospital spent at Extreme (≥20% of beds occupied by COVID-19 patients), High (10%–19%), Moderate (5%–9%), and Low (<5%) COVID-19 stress. We assessed longitudinal hospital-level COVID-19 stress, stratified by 15 hospital characteristics including joint commission accreditation, bed size, teaching status, critical access hospital status, and core-based statistical area (CBSA) rurality.

Findings

Among n = 2582 US hospitals, the median(IQR) weekly percentage of hospital capacity occupied by COVID-19 patients was 6.7%(3.6%–13.0%). 80,268/213,383 (38%) hospital-weeks experienced Low COVID-19 census stress, 28% Moderate stress, 22% High stress, and 12% Extreme stress. COVID-19 census burdens were similar across most hospital characteristics, but were significantly greater for critical access hospitals.

Conclusions

US hospitals experienced similar COVID-19 census burdens across multiple institutional characteristics. Evidence-based inclusion of pandemic-era outcomes in hospital quality reporting may not require significant hospital-level risk-adjustment or stratification, with the exception of rural or critical access hospitals, which experienced differentially greater COVID-19 census burdens and may merit hospital-level risk-adjustment considerations.

Purpose

Adolescent human papillomavirus (HPV) vaccination rates continue to remain lower than other adolescent vaccines, both nationwide and in Iowa. This study examined predictors of missed opportunities for first-dose HPV vaccine administrations in Iowa in order to conduct more targeted outreach and improve adolescent HPV vaccine uptake.

Methods

A retrospective study was conducted to identify predictors of missed opportunities for first-dose HPV vaccination in Iowa adolescents using Iowa's Immunization Registry Information System. The study population included 154,905 adolescents aged 11-15 years between 2019 and 2022. Missed opportunity for first-dose HPV vaccination was defined as a vaccination encounter where an adolescent received a Tdap and/or MenACWY vaccine but did not receive the first-dose HPV vaccine during the same encounter.

Findings

Over a third of the study population experienced a missed opportunity for HPV vaccination between 2019 and 2022. Missed opportunity for vaccination was most common among individuals living in a rural county (aOR = 1.36), underinsured adolescents (aOR = 1.74), males (aOR = 1.12), teens 13-15 years of age (aOR = 1.76), and White race and non-Hispanic ethnicity.

Conclusion

This study builds on previously reported predictors of missed opportunity for HPV vaccination in adolescents. Increased understanding of provider needs and barriers to administering HPV vaccination and further analysis of how the Vaccines for Children Program can play a role in HPV vaccination uptake is necessary to improve HPV vaccination rates among adolescents in Iowa and more specifically in rural communities.

Purpose

The National Institute of Health's All of Us Research Program represents a national effort to develop a database to advance health research, especially among individuals historically underrepresented in research, including rural populations. The purpose of this study was to describe the rural populations identified in the All of Us Research Program using the only proxy measure currently available in the dataset.

Methods

Currently, the All of Us Research Program provides a proxy measure of rurality that identifies participants who self-reported delaying care due to far travel distances associated with living in rural areas. Using the All of Us Controlled Tier Dataset v6, we compared sociodemographic and health characteristics of All of Us rural participants identified via this proxy to rural US residents from nationally representative data sources using chi-squared tests.

Results

3.1% of 160,880 All of Us participants were rural, compared to 15%-20% of US residents based on commonly accepted rural definitions. Proportionally more rural All of Us participants reported fair or poor health status, history of cancer, and history of heart disease (P<.01).

Conclusions

The All of Us measure may capture a subset of underserved participants who live in rural areas and experience health care access barriers due to distance. Researchers who use this proxy measure to characterize rurality should interpret their findings with caution due to differences in population and health characteristics using this proxy measure rural compared to other commonly used rural definitions.

Purpose

This exploratory study described facilitators and barriers to reducing tobacco disparities in 2 small rural communities and identified ways to reduce tobacco use.

Methods

This was a descriptive design using qualitative methods. We created a resource database for 2 rural Kentucky counties, using a Culture of Health Framework. We recruited 16 organizational stakeholders serving low-socioeconomic populations and conducted focus groups and key informant interviews. We also completed key informant interviews with 7 tobacco users. Lastly, we tailored Community Action Plans for each county based on the data and then solicited feedback from the key stakeholders.

Findings

The 2 counties were similar in population size, but County A had fewer resources than County B, and the stakeholders expressed differences toward tobacco use and quitting. County A stakeholders talked most about the protobacco culture and that tobacco users accept the risks of smoking outweighing the benefits of quitting; they also expressed concerns about youth use and the influences of family, society, and industry. County B stakeholders described ambivalence about the health effects of use and quitting. County A's Action Plan identified an opportunity to build Community Health Worker-delivered tobacco treatment into a new school-based health center. County B's Action Plan focused on reaching tobacco users by providing incentives for participation and tailoring messages to different audiences.

Conclusions

Tobacco control resources and stakeholder perspectives vary in small rural communities, implying a need for tailored approaches. Tobacco users in rural areas are a critical population to target with cessation resources.

Background

Disparities in rural cancer survivors’ health outcomes are well-documented, yet the role of sociocultural aspects of rurality, such as rural identity, attitudes toward rurality, and social standing on health beliefs and behaviors remain unclear. This study aimed to address these gaps.

Methods

Rural cancer survivors (N = 188) completed a mailed/online survey. Regression analyses identified relationships among rural identity, negative attitudes toward rurality, and social standing with health outcomes, quality of life, cancer fatalism, and cancer information overload.

Results

Higher rural identity was associated with believing everything causes cancer (OR = 1.58, p = 0.048), believing “there's not much you can do to lower your chances of getting cancer” (OR = 2.22, p = 0.002), and higher odds of being overloaded with cancer information (OR = 2.05, p  = 0.008). Negative attitudes toward rurality was linked with higher levels of perceived stress (B = 0.83, p = 0.001), and chronic pain (OR = 1.47, p = 0.039). Higher subjective social status was associated with perceived social support (B = 0.09, p = 0.016), better overall health (B = 0.13, p < 0.001), lower levels of perceived stress (B = –0.38, p = 0.007), and chronic pain (OR = 0.80, p = 0.027).

Conclusion

Sociocultural factors of rurality were associated with indicators of quality of life, cancer fatalism, and information overload. Further exploration of the underlying mechanisms that drive these associations can help improve intervention targets for rural cancer survivors.

Purpose

The federal 340B Drug Pricing Program allows eligible hospitals, including critical access hospitals (CAHs), to obtain outpatient drugs at a discounted rate. CAHs likely benefit from 340B participation because they are often under-resourced and serve at-risk patient populations. The objective of this study was to understand predictors of 340B program participation among CAHs, and how participation varies with community-level social vulnerability.

Methods

We used a cross-sectional study design to assess the relationship between 340B participation in 2019 and community vulnerability status using 2018 data from the CDC's social vulnerability index (SVI) among acute care CAHs. Analyses used linear probability models adjusted for hospital-level characteristics.

Findings

In bivariate analyses, CAHs participating in the 340B program had lower overall social vulnerability scores, relative to nonparticipating, eligible, and ineligible CAHs, respectively (43.8 vs. 48.7 vs. 64.7, p < 0.10). In adjusted regression models, greater community vulnerability rankings due to socioeconomic status (–0.129, p < 0.05) and minority status and language (–0.092, p < 0.05) were associated with decreased 340B participation. Higher hospital operating margin was associated with increased 340B participation (0.163, p < 0.05). Although the number of for-profit CAHs ineligible for 340B was small, they had the highest community-level social vulnerability score and lowest hospital operating margin on average.

Conclusions

CAHs located in areas of high community vulnerability are less likely to participate in the 340B program. Some vulnerable patient populations served by CAHs may be excluded from 340B program benefits.

Purpose

Hospitals are increasingly the target of cybersecurity threats, including ransomware attacks. Little is known about how ransomware attacks affect care at rural hospitals.

Methods

We used data on hospital ransomware attacks from the Tracking Healthcare Ransomware Events and Traits database, linked to American Hospital Association survey data and Medicare fee-for-service (FFS) claims data from 2016 to 2021. We measured Medicare FFS volume and revenue in the inpatient, outpatient, and emergency room setting—at the hospital-week level. We then conducted a stacked event study analysis, comparing hospital volume and revenue at ransomware-attacked and nonattacked hospitals before and after attacks.

Findings

Ransomware attacks severely disrupted hospital operations—with comparable effects observed at rural versus urban hospitals. During the first week of the attack, inpatient admissions volume fell by 14.7% at rural hospitals (P = .04) and 16.9% at urban hospitals (P = .01)—recovering to preattack levels within 2-3 weeks. Outpatient visits fell by 35.3% at rural hospitals (P<.01) and 22.0% at urban hospitals (P = .03) during the first week. Emergency room visits fell by 10.0% at rural hospitals (P = .04) and 19.3% at urban hospitals (P = .01). Travel time and distance to the closest nonattacked hospital was 4-7 times greater for rural ransomware-attacked hospitals than for urban ransomware-attacked hospitals.

Conclusions

Ransomware attacks disrupted hospital operations in rural and urban areas. Disruptions of similar magnitudes may be more detrimental in rural areas, given the greater distances patients must travel to receive care and the outsized impact that lost revenue may have on rural hospital finances.