State health disparities research in Rural America: Gaps and future directions in an era of COVID-19

Rural versus urban healthcare through the lens of health behaviors and access to primary care: a post-hoc analysis of the Romanian health evaluation survey

BACKGROUND

Worldwide, rural populations are recognized to be exposed to increased health challenges due to their living and working environment, socioeconomic status, and access to health services. According to the Romanian Country Health Profile 2023, approximately 46% of all deaths recorded in Romania in 2019 could be attributed to behavioral risk factors such as tobacco smoking, dietary risks, alcohol consumption and low physical activity. No data on rural versus urban areas are available to date, and research is needed to document health inequalities, identify barriers to health services, and explore solutions.

METHODS

This study is an analysis of data collected during the Health Evaluation Survey carried out by the National Institute of Public Health in 2022 and aimed to reveal differences in health risk factors between rural and urban areas. The analysis was carried out under the methodological framework of the Health Evaluation Survey 2022, which is coordinated by the National Institute of Public Health.

RESULTS

Our study's objectively measured data revealed that the overall health profile of rural communities is characterized by lower education levels, lower incomes, and higher binge drinking rates than those of their urban counterparts. Additionally, rural inhabitants more often have high blood pressure, are more overweight and obese (per body mass index measurements) and have higher fasting plasma glucose. The health profile of the urban population revealed higher education levels and greater proportions of people with adequate monthly income, people with daily alcohol consumption, people who smoke, and people with hypercholesterolemia. Access to primary health care evaluated through proxy indicators was lower in rural areas but was relatively good overall.

CONCLUSIONS

Our analysis of the health profile of rural communities revealed a greater prevalence of obesity and overweight, especially among women, and an increased prevalence of heavy drinking among men. Access to primary health care evaluated through proxy indicators is lower in rural areas but is relatively good overall. Lower education levels and the possibility of lower health literacy underpin the need for targeted health education campaigns. Sustainable strategies for rural health need to be identified, especially in the field of health promotion and disease prevention programs.

TRIAL REGISTRATION

This study is observational research involving human participants where no interventions were applied to the study population.

Justice, Equity, Diversity, and Inclusion-Related Curricular Elements in Entry-Level Physical Therapist Education: A Delphi Study

INTRODUCTION

The purpose of this Delphi study was to determine whether experts in justice, equity, diversity, and inclusion (JEDI) in the field of physical therapy could achieve consensus on the key JEDI-related curricular content topics to be included in entry-level physical therapist education.

REVIEW OF LITERATURE

Inequities exist at all levels of health care for historically underserved populations, including referrals, access, and quality of physical therapy services. The physical therapy field is facing challenges and opportunities in how to best prepare providers to address individual, community, and population health inequities. There is a lack of consensus in physical therapist education regarding essential curricular content related to justice, equity, diversity, inclusion, and antiracism.

SUBJECTS

Eighty-four experts in JEDI in the physical therapy profession were invited through email to participate in the Delphi process.

METHODS

A Delphi survey brought together 39 identified experts in justice, equity, diversity, and inclusion within the field of physical therapy to reach consensus on key JEDI-related curricular topics in physical therapist education. In the first-round survey, participants answered an open-ended question: "What JEDI-related curricular content should be included in entry-level physical therapist education?" The work team coded these free-text responses to populate an initial list of curricular elements. Over 2 subsequent rounds of surveys, the experts came to a consensus on which curricular elements should be addressed within physical therapist education. Nineteen experts completed all survey rounds.

RESULTS

In round I, coding of the expert group's responses generated 61 initial JEDI-related curricular elements. By round III, the group refined the list to 43 curricular elements; 41 of the 43 (95%) elements garnered 94% or higher consensus. The expert group deemed 30 of the elements "entry-level" content and 13 as more "advanced practice" topics.

DISCUSSION AND CONCLUSIONS

Experts had a strong consensus on key JEDI-related curricular elements that physical therapist education programs should include to best prepare providers to improve the health of society. Future scholarship will explore recommendations for how physical therapist education programs might prioritize and implement JEDI-related content.

Novel Characterization of Socioecological Determinants of Health in Rural Alabama

INTRODUCTION

Socioecological determinants of health (SEDOHs) influence disparities in surgical outcomes. However, SEDOHs are challenging to measure, limiting our ability to address disparities. Using a validated survey (SEDOH-88), we assessed SEDOHs in three rural communities in Alabama. We hypothesized that SEDOHs would vary significantly across sites but measuring them would be acceptable and feasible.

MATERIALS AND METHODS

This was a retrospective review of a prospectively maintained database involving surgical patients who completed the SEDOH-88 and a secondary survey assessing it's acceptability or feasibility from August 2021 to July 2023. Included patients underwent endoscopic, minimally invasive, or open surgery at three rural hospitals: Demopolis (DM), Alexander City (AC), and Greenville (GV).

RESULTS

The 107 participants comprised 48 (44.9%) from DM, 27 (25.2%) from AC, and 32 (29.9%) from GV, respectively. The median age was 64 y, and 65.6% were female. When comparing DM to AC and GV by individual factors, DM had the largest Black population (78.7 versus 22.2 versus 48.3%, P < 0.001) and more often required help reading hospital materials (20.5 versus 3.7 versus 10.3%, P = 0.007). When comparing DM to AC and GV by structural and environmental factors, DM had more Medicaid enrollees (27.3 versus 3.7 versus 6.9%, P = 0.033) and lacked fresh produce (18.2 versus 25.9 versus 39.3%, P = 0.033) and internet access (63.6 versus 100.0 versus 86.2%, P < 0.001). The SEDOH-88 had an overall 90.9% positive acceptability and feasibility score.

CONCLUSIONS

SEDOHs varied significantly across rural communities regarding individual (race or health literacy), structural (insurance), and environmental-level factors (nutritious food or internet access). The high acceptability and feasibility of the SEDOH-88 shows it's potential utility in identifying targets for future disparity-reducing interventions.

Vaccine safety beliefs in the state of Alaska

Objectives

Identifying the key factors associated with vaccine hesitancy remains a challenge as has been highlighted throughout the COVID-19 vaccine roll out and pandemic. The aim of this study was to determine characteristics associated with vaccine safety and compare perceived safety by vaccine. Our hypothesis is that vaccine safety perception will vary by vaccine with COVID-19 as ranked lowest for safety.

Study design

Cross sectional.

Methods

A statewide sample (n = 1024) responded to an online 28-point questionnaire via anonymous linked invitation.

Results

Among the eight vaccines assessed, COVID-19 had the lowest perceived safety (53.13%) followed by human papillomavirus HPV (63.38%). A binomial logistic regression assessed COVID-19 vaccine safety beliefs (safe v not safe) finding age, political orientation, and perceived safety of certain vaccines as statistically significant. As age increased by year, vaccine safety beliefs increased. Persons who identified as conservative demonstrated less belief in vaccine safety than all other groups. Among persons who did not perceive the COVID-19 vaccine as safe, 65.8% believed chicken pox was safe, 63.3% and 61.1% perceived hepatitis A& B were safe.

Conclusions

These findings demonstrate that vaccine safety beliefs differ by vaccine and that persons who do not believe in the safety of the COVID-19 are not exclusively against all vaccines. Understanding factors that increase vaccine safety by vaccine could assist in developing an intervention which could increase belief in safety for all vaccines.

Telehealth Use and Health Equity for Mental Health and Substance Use Disorder During the COVID-19 Pandemic: A Systematic Review

Background: As a result of the COVID-19 public health emergency (PHE), telehealth utilization accelerated to facilitate health care management and minimize risk. However, those with mental health conditions and substance use disorders (SUD)-who represent a vulnerable population, and members of underrepresented minorities (e.g., rural, racial/ethnic minorities, the elderly)-may not benefit from telehealth equally. Objective: To evaluate health equality in clinical effectiveness and utilization measures associated with telehealth for clinical management of mental health disorders and SUD to identify emerging patterns for underrepresented groups stratified by race/ethnicity, gender, age, rural status, insurance, sexual minorities, and social vulnerability. Methods: We performed a systematic review in PubMed, Embase, Cochrane Central Register of Controlled Trials, and CINAHL through November 2022. Studies included those with telehealth, COVID-19, health equity, and mental health or SUD treatment/care concepts. Our outcomes included general clinical measures, mental health or SUD clinical measures, and operational measures. Results: Of the 2,740 studies screened, 25 met eligibility criteria. The majority of studies (n = 20) evaluated telehealth for mental health conditions, while the remaining five studies evaluated telehealth for opioid use disorder/dependence. The most common study outcomes were utilization measures (n = 19) or demographic predictors of telehealth utilization (n = 3). Groups that consistently demonstrated less telehealth utilization during the PHE included rural residents, older populations, and Black/African American minorities. Conclusions: We observed evidence of inequities in telehealth utilization among several underrepresented groups. Future efforts should focus on measuring the contribution of utilization disparities on outcomes and strategies to mitigate disparities in implementation.

Evaluating the Connection Between Rural Travel Time and Health: A Cross-Sectional Analysis of Older Adults Living in the Northeast United States

INTRODUCTION

To characterize the impact of rural patients' travel time to obtain healthcare on their reported utilization of preventive healthcare services and personal health outcomes.

METHODS

Online survey data from rural adults ages 50+ years living in the Northeastern United States were collected from February to August 2021. Study measures included self-reported travel time to obtain healthcare, use of preventive healthcare, and health outcomes. The associations between travel time with use of preventive care and health outcomes were assessed using linear, Poisson, and logistic regression analyses controlling for demographic variables.

RESULTS

Our study population included 1052 rural adults, with a mean travel time of 18.5 min (range: 0-60). Travel time was greater for racial/ethnic minority participants and for higher-income participants (both P < .05), but it was not associated with use of preventive healthcare. Greater travel time was associated with poorer mental health and more comorbidities, including cancer and diabetes (all P < .05).

CONCLUSIONS

Travel time varied by patient demographic factors, and it was associated with mental health and comorbidities. There was no association between travel time and preventive care use, suggesting that other barriers likely contribute to suboptimal use of these services within rural communities. Further research is needed to elucidate the causal pathways linking travel time to mental health and comorbidities within rural communities, as increased travel may exacerbate intrarural health disparities.

Ecologic analysis of antimicrobial use in South Carolina hospitals during 2020-2022

Background

Factors influencing excessive antimicrobial utilization in hospitalized patients remain poorly understood, particularly with the COVID-19 pandemic.

Methods

In this retrospective cohort, we compared administrative data regarding antimicrobial prescriptions in hospitalized patients in South Carolina from March 2020 through September 2022. The study examined variables associated with antimicrobial use across demographics, COVID status, and length of stay, among other variables.

Results

Significant relationships were seen with antimicrobial use in COVID-19 positive patients (OR 2.00, 95% Confidence Interval (CI): 1.9-2.1), young adults (OR 1.08, 95% CI: 0.99-1.12, COVID-19 positive Blacks and Hispanics (OR 1.06, 95% CI: 1.01-1.11, OR 1.05, 95% CI: 0.89-1.23), and COVID-19 positive patients with ≥2 comorbid conditions (OR 1.55, 95% CI: 1.43-1.68).

Discussion

Further analysis in more than one healthcare system should explore these ecologic relationships further to understand if these are common trends to inform ongoing stewardship interventions.

Contextualizing physical activity in rural adults: Do relationships between income inequality, neighborhood environments, and physical activity exist?

OBJECTIVE

To examine if income inequality, social cohesion, and neighborhood walkability are associated with physical activity among rural adults.

DATA SOURCE

Cross-sectional data came from a telephone survey (August 2020-March 2021) that examined food access, physical activity, and neighborhood environments across rural counties in a southeastern state.

STUDY DESIGN

Multinomial logistic regression models assessed the likelihood of being active versus inactive and insufficiently active versus inactive in this rural population. Coefficients are presented as relative risk ratios (RRRs). Statistical significance was determined using 95% confidence intervals (CIs). All analyses were performed in STATA 16.1.

DATA COLLECTION/EXTRACTION METHODS

Trained university students administered the survey. Students verbally obtained consent, read survey items, and recorded responses into Qualtrics software. Upon survey completion, respondents were mailed a $10 incentive card and printed informed consent form. Eligible participants were ≥18 years old and current residents of included counties.

PRINCIPAL FINDINGS

Respondents in neighborhoods with relatively high social cohesion versus low social cohesion were more likely to be active than inactive (RRR = 2.50, 95% CI: 1.27-4.90, p < 0.01), after accounting for all other variables in the model. Income inequality and neighborhood walkability were not associated with different levels of physical activity in the rural sample.

CONCLUSIONS

Study findings contribute to limited knowledge on the relationship between neighborhood environmental contexts and physical activity among rural populations. The health effects of neighborhood social cohesion warrant more attention in health equity research and consideration when developing multilevel interventions to improve the health of rural populations.

National Data and the Applicability to Understanding Rural and Remote Substance Use

Responding to increases in overdose, addiction, and substance misuse, local public health experts need accurate data to plan and implement evidence-based prevention and treatment programs. In many countries, national data are the tool most readily available for these efforts. In the United States, the National Study on Drug Use and Health and the Treatment Episode Data Set are data sources used by states to determine the extent of addiction. This project sought to determine if these national data sources are applicable for local use in addiction prevention and program planning. NSDUH prevalence estimates from 2015 to 2019 were applied to the state population to determine the number of persons estimated to be substance users. The prevalence estimates were compared over time with the population data and substance use treatment admissions to assess the covariance and population change as an indicator of efficacy. The primary drivers of fatal overdose in Alaska are fentanyl, heroin, and methamphetamine. Fentanyl use was not assessed in either dataset. When applying the estimated use prevalence to the population, heroin users varied annually by 1777 persons and methamphetamine varied up to 2143 persons. These observed variances did not correspond with state population changes nor any trend in the persons seeking treatment for these substances. Our analyses do not support the use of NSDUH data for planning in rural and remote areas. The methods used in NSDUH data collection exclude ~ 20% of the state population, mostly Native persons, based on location and language. The annual prevalence estimates applied to the population did not correspond with changes in population nor changes in treatment. Fentanyl, which causes the most overdoses in Alaska and is of primary concern locally, was not assessed.

Using wastewater to overcome health disparities among rural residents

The SARS-CoV-2 pandemic highlighted the need for novel tools to promote health equity. There has been a historical legacy around the location and allocation of public facilities (such as health care) focused on efficiency, which is not attainable in rural, low-density, United States areas. Differences in the spread of the disease and outcomes of infections have been observed between urban and rural populations throughout the COVID-19 pandemic. The purpose of this article was to review rural health disparities related to the SARS-CoV-2 pandemic while using evidence to support wastewater surveillance as a potentially innovative tool to address these disparities more widely. The successful implementation of wastewater surveillance in resource-limited settings in South Africa demonstrates the ability to monitor disease in underserved areas. A better surveillance model of disease detection among rural residents will overcome issues around the interactions of a disease and social determinants of health. Wastewater surveillance can be used to promote health equity, particularly in rural and resource-limited areas, and has the potential to identify future global outbreaks of endemic and pandemic viruses.

The Burden of COVID-19 Mortality Due to Referrals From Skilled Nursing Facilities in a Small Community Hospital

BACKGROUND

Amidst the COVID-19 pandemic, nursing home residents have seen a significant increase in hospitalizations. However, there is a lack of published data on the healthcare provided to these individuals in community hospitals. This knowledge gap hinders our understanding and evaluation of the quality and outcomes of care received by nursing home residents when they are hospitalized for COVID-19 or other medical conditions. Furthermore, insufficient data is used to compare the clinical outcomes of COVID-19-related admissions from nursing facilities between small community hospitals and tertiary care facilities. It is essential to conduct further research to identify potential disparities, which may indicate an unequal burden of nursing facility referrals to less-resourced hospitals.

OBJECTIVE

We examined the characteristics of COVID-19-related deaths in a community hospital during the first surge of COVID-19 and calculated the proportion of patients who expired and were transferred from nearby nursing facilities.

METHOD

We performed a retrospective review of all cases of COVID-19 admitted to a 160-bed community hospital in Connecticut from January 1, 2020, to August 1, 2020. One hundred seventy-seven patients with COVID-19 who were admitted to our hospital were included in this study. Seventy patients (70/177, 39.54%) were transferred from nearby nursing facilities. The primary objective of this study was to examine the clinical characteristics of COVID-19-related deaths in our community hospital during the first surge of COVID-19. We also calculated the proportion of patients who expired and were transferred from nearby nursing facilities.

RESULTS

Although the mortality rate in our community hospital was 15.23% (27/177), the majority of those who died were from nursing facilities (85.18%, 23/27). In contrast, mortality among the patients admitted from the community was 3.7% (4/107). The patients transferred from a nursing facility had 12.6 times higher odds of 30-day inpatient mortality or referral to hospice (95% CI, 4.1-38.5; p<0.001).

CONCLUSION

The majority of COVID-19 deaths in our community hospital were due to nursing facility referrals. We hypothesize that this high mortality may reflect healthcare inequality due to the unequal burden of nursing facility referrals to less-resourced hospitals.

Eliciting Opinions on Health Messaging During the COVID-19 Pandemic: Qualitative Survey Study

BACKGROUND

Effective public health messaging has been necessary throughout the COVID-19 pandemic, but stakeholders have struggled to communicate critical information to the public, especially in different types of locations such as urban and rural areas.

OBJECTIVE

This study aimed to identify opportunities to improve COVID-19 messages for community distribution in rural and urban settings and to summarize the findings to inform future messaging.

METHODS

We purposively sampled by region (urban or rural) and participant type (general public or health care professional) to survey participants about their opinions on 4 COVID-19 health messages. We designed open-ended survey questions and analyzed the data using pragmatic health equity implementation science approaches. Following the qualitative analysis of the survey responses, we designed refined COVID-19 messages incorporating participant feedback and redistributed them via a short survey.

RESULTS

In total, 67 participants consented and enrolled: 31 (46%) community participants from the rural Southeast Missouri Bootheel, 27 (40%) community participants from urban St Louis, and 9 (13%) health care professionals from St Louis. Overall, we found no qualitative differences between the responses of our urban and rural samples to the open-ended questions. Participants across groups wanted familiar COVID-19 protocols, personal choice in COVID-19 preventive behaviors, and clear source information. Health care professionals contextualized their suggestions within the specific needs of their patients. All groups suggested practices consistent with health-literate communications. We reached 83% (54/65) of the participants for message redistribution, and most had overwhelmingly positive responses to the refined messages.

CONCLUSIONS

We suggest convenient methods for community involvement in the creation of health messages by using a brief web-based survey. We identified areas of improvement for future health messaging, such as reaffirming the preventive practices advertised early in a crisis, framing messages such that they allow for personal choice of preventive behavior, highlighting well-known source information, using plain language, and crafting messages that are applicable to the readers' circumstances.

Vaccine hesitancy and COVID-19 immunization among rural young adults

Rural young adults may be more averse to receiving a COVID-19 immunization than urban young adults. We aimed to assess differences in COVID-19 vaccine hesitancy for rural, compared with urban, young adults and characterize modifiable factors. This cross-sectional online survey collected demographic data, vaccination attitudes, and COVID-19 impacts from 2937 young adults, ages 18-26 years, across the western U.S. from October 2020 to April 2021. Rurality was determined by participants' zip code and classified using the rural and urban continuum codes (RUCC). Multivariable logistic regression described adjusted (age, gender, race and ethnicity, being a current student, and month of survey) odds of self-reported intent to receive the COVID-19 vaccination by rurality. Mediation analysis was used to decompose total effects into average direct effects and average causal mediation (indirect) effects. Rural participants had 40% lower odds than urban participants of intending to receive the COVID-19 vaccine after adjustments (adjusted odds ratio, 0.62 [95% CI, 0.50-0.76]). The direct effect remained (P < 0.001), but was mediated by both education (8.3%, P < 0.001) and month in which the survey was taken (23.5%, P < 0.001). We observed a divergence after December 2020 in vaccination intent between rural and urban young adults that widened over time. Hesitancy to receive the COVID-19 vaccine was greater among rural, compared with urban young adults, and grew disproportionally after December 2020. Mediation by whether one was a current student or not suggests differences in sources of information for vaccination decision-making, and highlights areas for addressing vaccine hesitancy.

Contraceptive care service provision via telehealth early in the COVID-19 pandemic at rural and urban federally qualified health centers in 2 southeastern states

PURPOSE

To investigate telehealth use for contraceptive service provision among rural and urban federally qualified health centers (FQHCs) in Alabama (AL) and South Carolina (SC) during the initial months of the COVID-19 pandemic.

METHODS

This is a mixed-methods study using data from the FQHC Contraceptive Care Survey and key informant interviews with FQHC staff in AL and SC conducted in 2020. Differences between rural and urban clinics in telehealth use for contraceptive service provision were assessed with a chi-square test of independence. Interviews were audio recorded, transcribed, and coded to identify facilitators and barriers to telehealth.

FINDINGS

Telehealth for contraceptive care increased during the early months of the pandemic relative to prepandemic. Fewer rural clinics than urban clinics provided telehealth for contraceptive counseling (16.3% vs 50.6%) (P = .0002), emergency contraception (0.0% vs 16.1%) (P = .004), and sexually transmitted infection care (16.3% vs 34.6%) (P = .031). Key facilitators of telehealth were reimbursement policy, electronic infrastructure and technology, and funding for technology. Barriers included challenges with funding for telehealth, limited electronic infrastructure, and reduced staffing capacity.

CONCLUSIONS

Differences in telehealth service provision for contraceptive care between rural and urban FQHCs highlight the need for supportive strategies to increase access to care for low-income rural populations, particularly in AL and SC. It is essential for public and private entities to support the implementation and continuation of telehealth among rural clinics, particularly, investing in widespread and clinic-level electronic infrastructure and technology for telehealth, such as broadband and electronic health record systems compatible with telehealth technology.

Mining the Data: Exploring Rural Patients' Attitudes about the Use of Their Personal Information in Research

BACKGROUND

This study examines rural patients' perceived importance of knowing or being consulted about researchers' access and use of their personal data (identifiable and de-identified health information, and identifiable and de-identified non-health information) across five scenarios. This study also examines their views on stewardship or governance of their personal information by researchers in their healthcare systems.

METHODS

We conducted a survey by mail. Data were analyzed using descriptive statistics. Multivariable regression analyses were conducted across each scenario and type of personal data with the same variables included in each model.

RESULTS

The majority of participants said it was "very important/absolutely essential" to know the purpose of the study, to be asked every time, and to know the policies governing researcher access and use of their identifiable health information. Just over two-thirds of respondents thought it "very important/absolutely essential" to know who serves on the data governance committee and to have a community member serve. Distrust in healthcare organizations was positively correlated with the scenarios while willingness to give permission to donate leftover biological specimens was negatively correlated.

CONCLUSION

Our study findings indicate that the type of personal information being accessed and used generally matters to 1,407 patients living in rural Pennsylvania. We also demonstrate that knowing their healthcare organizations' governance policies and practices for managing their personal data is important to many rural Pennsylvania patients. Biomedical researchers need to recognize and attend to those differences as much as possible in order to expand opportunities for and participation in research by residents of these rural communities.

Supplemental data for this article is available online at.

Louisiana Medicaid Expansion Associated With Reduced Travel For Care Among Minority Groups And Rural Residents

Distance traveled to a provider has been associated with access to and timely use of health care services. Medicaid expansion has been previously linked to an increase in the number of providers accepting Medicaid patients. We hypothesized that by increasing the density of providers accepting Medicaid in any area, Louisiana's Medicaid expansion in July 2016 may have increased access to health care services for Medicaid patients already eligible for Medicaid in Louisiana by decreasing distances traveled to reach health care providers. We tested our hypothesis using a regression discontinuity model on all continuously enrolled Louisiana Medicaid beneficiaries' transactions from the period 2015-17 across eight different service lines. Distance traveled to appointments declined across all service lines, with declines ranging from -3.46 miles for general practices to -0.70 miles for specialty care. The most robust declines in distance traveled were among Black enrollees living in nonmetropolitan areas, with the largest being a decline of 9.25 fewer miles traveled for general practice care. Medicaid expansion has the potential to address racial and geographic disparities in health care access through decreased travel distances.

Adapting PC CARES to Continue Suicide Prevention in Rural Alaska During the COVID-19 Pandemic: Narrative Overview of an In-Person Community-Based Suicide Prevention Program Moving Online

This paper presents how a community mobilization program to prevent suicide was adapted to an online format to accommodate the impossibility of in-person delivery in Alaska Native communities during the COVID-19 pandemic. The intervention, Promoting Community Conversations About Research to End Suicide (PC CARES), was created collaboratively by researchers and Alaska Native communities with the goal of bringing community members together to create research-informed and community-led suicide prevention activities in their communities. To continue our work during the COVID-19 pandemic and restrictions, we adapted the PC CARES model to a synchronous remote delivery format. This shift included moving from predominantly Alaska Native participants to one of a mainly non-Native school staff audience. This required a pivot from Alaska Native self-determination toward cultural humility and community collaboration for school-based staff, with multilevel youth suicide prevention remaining the primary aim. This reorientation can offer important insight into how to build more responsive programs for those who are not from the communities they serve. Here, we provide a narrative overview of our collaborative adaptation process, illustrated by data collected during synchronous remote facilitation of the program, and reflect on how the shift in format and audience impacted program delivery and content. The adaptation process strove to maintain the core animating features of self-determination for Alaska Native communities and people as well as the translation of scientific knowledge to practice for greater impact.

State health disparities research in Rural America: Gaps and future directions in an era of COVID-19

Purpose

In an era of the COVID‐19 pandemic, improving health outcomes for diverse rural communities requires collective and sustained actions across transdisciplinary researchers, intersectoral partners, multilevel government action, and authentic engagement with those who carry the burden—rural communities.

Methods

Drawing from an analysis of transcriptions and documents from a national workshop on the “State of Rural Health Disparities: Research Gaps and Recommendations,” this brief report underscores the gaps and priorities for future strategies for tackling persistent rural health inequities.

Findings

Four overarching recommendations were provided by national thought leaders in rural health: (1) create mechanisms to allow the rural research community time to build sustainable community‐based participatory relationships; (2) support innovative research designs and approaches relevant to rural settings; (3) sustain effective interventions relevant to unique challenges in rural areas; and (4) recognize and identify the diversity within and across rural populations and adapt culturally and language‐appropriate approaches.

Conclusion

The COVID‐19 public health crisis has exacerbated disparities for rural communities and underscored the need for diverse community‐centered approaches in health research and dedicated funding to rural service agencies and populations.