Association between the social vulnerability index and breast, cervical, and colorectal cancer screening rates in Rhode Island.

BACKGROUND: Cancer screening is effective in reducing the burden of breast, cervical, and colorectal cancers, but not all communities have appropriate access to these services. In this study, we aimed to identify under-resourced communities by assessing the association between the Social Vulnerability Index (SVI) with screening rates for breast, cervical, and colorectal cancers in ZIP-code tabulation areas (ZCTAs) in Rhode Island. METHODS: This study leveraged deidentified health insurance claims data from HealthFacts RI, the state's all-payer claims database, to calculate screening rates for breast, cervical, and colorectal cancers using Healthcare Effectiveness Data and Information Set measures. We used spatial autoregressive Tobit models to assess the association between the SVI, its four domains, and its 15 component variables with screening rates in 2019, accounting for spatial dependencies. RESULTS: In 2019, 73.2, 65.0, and 66.1% of eligible individuals were screened for breast, cervical, and colorectal cancer, respectively. For every 1-unit increase in the SVI, screening rates for breast and colorectal cancer were lower by 0.07% (95% CI 0.01-0.08%) and 0.08% (95% CI 0.02-0.15%), respectively. With higher scores on the SVI's socioeconomic domain, screening rates for all three types of cancers were lower. CONCLUSION: The SVI, especially its socioeconomic domain, is a useful tool for identifying areas that are under-served by current efforts to expand access to screening for breast, cervical, and colorectal cancer. These areas should be prioritized for new place-based partnerships that address barriers to screening at the individual and community level.

Effects of a medication adherence app among medically underserved adults with chronic illness: a randomized controlled trial.

For individuals living with a chronic illness who require use of long-term medications, adherence is a vital aspect of successful symptom management and outcomes. This study investigated the effect of a smartphone app on adherence, self-efficacy, knowledge, and medication social support in a medically underserved adult population with various chronic illnesses. Participants were randomized to a group who used the app for one month or a control group provided with a printed medication list. Compared to the control group, participants receiving the intervention had significantly greater medication adherence (Cohen's d = -0.52, p = .014) and medication self-efficacy (Cohen's d = 0.43, p = .035). No significant effects were observed related to knowledge or social support. The findings suggest use of the app could positively impact chronic disease management in a medically underserved population in the United States.

Providing care in underresourced areas: contribution of the physician assistant/associate workforce.

BACKGROUND: Prior studies suggest that physician assistants/associates (PAs) are more likely than physicians to work in underresourced areas. However, data characterizing the current PA workforce in health professional shortage areas (HPSAs) and medically underserved areas (MUAs) are lacking. METHODS: We analyzed the 2022 cross-sectional dataset from a comprehensive national database to examine the demographic and practice characteristics of PAs working in HPSAs/MUAs compared to those in other settings. Analyses included descriptive and bivariate statistics, along with multivariate logistic regression. RESULTS: Nearly 23% of PAs reported practicing in HPSAs/MUAs. Among PAs in HPSAs/MUAs, over a third (34.6%) work in primary care settings, 33.3% identify as men, 15.6% reside in rural/isolated areas, and 14.0% are from an underrepresented in medicine (URiM) background. Factors associated with higher odds of practicing in a HPSA/MUA included residing in rural/isolated settings, URiM background, and speaking a language other than English with patients. CONCLUSIONS: As the PA profession grows, knowledge of these attributes may help inform efforts to expand PA workforce contributions to address provider shortages.

A Comparative Analysis of the Demographics and Zip Codes of Patients Seen at the Indiana University Student Outreach Clinic.

Within a small geographic area, Marion County contains a stark spectrum of health outcomes and socioeconomic statuses. The Indiana University Student Outreach Clinic (IUSOC) serves as a safety net provider, offering free health and social services in the Near Eastside neighborhood of Indianapolis. The aim of this study was to characterize the demographics and geographic distribution of the IUSOC's patient population. From January to September 2023, 612 patients visited the IUSOC, and 460 self-identified as Marion County residents. 63.9% of patients were between 45 and 64 years old. 66.8% were Non-Hispanic (NH) Black, and 23.3% were Hispanic. 18.9% spoke Spanish and had limited English proficiency. Based on the Distressed Communities Index (DCI), 58.7% lived in "Distressed" zip codes, indicating economic vulnerability and disparities. The zip code with the greatest number of IUSOC patients had the highest rate of uninsured adults in Marion County. IUSOC patients are primarily middle-aged minorities who live in zip codes with low socioeconomic rankings by DCI. This information can be used to improve community resource referral pathways in the clinic.

Medical deserts in Spain-Insights from an international project.

INTRODUCTION: Medical deserts are a growing phenomenon across many European countries. They are usually defined as (i) rural areas, (ii) underserved areas or (iii) by applying a measure of distance/time to a facility or a combination of the three characteristics. The objective was to define medical deserts in Spain as well as map their driving factors and approaches to mitigate them. METHODS: A mixed methods approach was applied following the project "A Roadmap out of medical deserts into supportive health workforce initiatives and policies" work plan. It included the following elements: (i) a scoping literature review; (ii) a questionnaire survey; (iii) national stakeholders' workshop; (iv) a descriptive case study on medical deserts in Spain. RESULTS: Medical deserts in Spain exist in the form of mostly rural areas with limited access to health care. The main challenge in their identification and monitoring is local data availability. Diversity of both factors contributing to medical deserts and solutions applied to eliminate or mitigate them can be identified in Spain. They can be related to demand for or supply of health care services. More national data, analyses and/or initiatives seem to be focused on the health care supply dimension. CONCLUSIONS: Addressing medical deserts in Spain requires a comprehensive and multidimensional approach. Effective policies are needed to address both the medical staff education and planning system, working conditions, as well as more intersectoral approach to the population health management.

New-onset dyslipidemia in adult cancer survivors from medically underserved areas: a 10-year retrospective cohort study.

BACKGROUND: Cancer survival rates are increasing; however, studies on dyslipidemia as a comorbidity of cancer are limited. For efficient management of the disease burden, this study aimed to understand new-onset dyslipidemia in medically underserved areas (MUA) among cancer survivors > 19 years. METHODS: This study used 11-year (2009-2019) data from the Korean National Health Insurance Service sample cohort. Cancer survivors for five years or more (diagnosed with ICD-10 codes 'C00-C97') > 19 years were matched for sex, age, cancer type, and survival years using a 1:1 ratio with propensity scores. New-onset dyslipidemia outpatients based on MUA were analyzed using the Cox proportional hazards model. RESULTS: Of the 5,736 cancer survivors included in the study, the number of new-onset dyslipidemia patients was 855 in MUA and 781 in non-MUA. Cancer survivors for five years or more from MUA had a 1.22-fold higher risk of onset of dyslipidemia (95% CI = 1.10-1.34) than patients from non-MUA. The prominent factors for the risk of dyslipidemia in MUA include women, age ≥ 80 years, high income, disability, complications, and fifth-year cancer survivors. CONCLUSIONS: Cancer survivors for five years or more from MUA had a higher risk of new-onset dyslipidemia than those from non-MUA. Thus, cancer survivors for five years or more living in MUA require healthcare to prevent and alleviate dyslipidemia.

Supply of obstetrician-gynecologists and gynecologic oncologists to the US Medicare population: a state-by-state analysis.

BACKGROUND: The supply of obstetrician-gynecologists and gynecologic oncologists across the United States has been described. However, these studies focused on reproductive-age patients and did not assess the growing demand for services to the advanced-age female population. OBJECTIVE: This study aimed to evaluate the supply of obstetrician-gynecologists and gynecologic oncologists who serve the US Medicare population per 100,000 female Medicare beneficiaries, over time and by state and region. STUDY DESIGN: The supply of obstetrician-gynecologists and gynecologic oncologists was extracted from the Physician and Other Supplier Public Use File database of Medicare Part B claims submitted to the US Centers for Medicare & Medicaid Services. Data were only available from 2012 to 2019. The supply of providers was divided by the number of original female Medicare beneficiaries obtained from the Kaiser Family Foundation; all values reported are providers per 100,000 female beneficiaries by state. Trends over time were assessed as the difference in provider-to-beneficiary ratio and the percentage change from 2012 to 2019. All data were collected in 2021. All analyses were performed with SAS, version 9.4. This study was exempt from institutional review board approval. RESULTS: In 2019, the average number of obstetrician-gynecologists per 100,000 female beneficiaries across all states was 121.32 (standard deviation±33.03). The 3 states with the highest obstetrician-gynecologist-to-beneficiary ratio were the District of Columbia (268.85), Connecticut (204.62), and Minnesota (171.60), and the 3 states with the lowest were Montana (78.37), West Virginia (82.28), and Iowa (83.92). The average number of gynecologic oncologists was 4.48 (standard deviation±2.08). The 3 states with the highest gynecologic oncologist-to-beneficiary ratio were the District of Columbia (11.30), Rhode Island (10.58), and Connecticut (9.24), and the 3 states with the lowest were Kansas (0.82), Vermont (1.41), and Mississippi (1.47). The number of obstetrician-gynecologists per 100,000 female beneficiaries decreased nationally by 8.4% from 2012 to 2019; the difference in provider-to-beneficiary ratio from 2012 to 2019 ranged from +29.97 (CT) to -82.62 (AK). Regionally, the Northeast had the smallest decrease in the number of obstetrician-gynecologists per 100,000 female beneficiaries (-3.8%) and the West had the largest (-18.2%). The number of gynecologic oncologists per 100,000 female beneficiaries increased by 7.0% nationally during the study period; this difference ranged from +8.96 (DC) to -3.39 (SD). Overall, the West had the smallest increase (4.7%) and the Midwest had the largest (15.4%). CONCLUSION: There is wide geographic variation in the supply and growth rate of obstetrician-gynecologists and gynecologic oncologists for the female Medicare population. This analysis provides insight into areas of the country where the supply of obstetrician-gynecologists and gynecologic oncologists may not meet current and future demand. The national decrease in the number of obstetrician-gynecologists is alarming, especially because population projections estimate that the proportion of elderly female patients will grow. Future work is needed to determine why fewer providers are available to see Medicare patients and what minimum provider-to-enrollee ratios are needed for gynecologic and cancer care. Once such ratios are established, our results can help determine whether specific states and regions are meeting demand. Additional research is needed to assess the effect of the COVID-19 pandemic on the supply of women's health providers.

Future-oriented Emotions and Decisions to Receive Genomic Testing Results Among U.S. Adults of African Ancestry.

BACKGROUND: Future-oriented emotions are associated with consequential health decision-making, including genomic testing decisions. However, little is known about the relative role of various future-oriented emotions in such decisions. Moreover, most research on predictors of decision making regarding genomic testing is conducted with white participants. PURPOSE: This study examined the role of future-oriented emotions in decisions to receive genomic testing results in U.S. individuals of African descent. METHODS: We analyzed cross-sectional survey data from a genomic sequencing cohort (N = 408). All participants identified as African, African-American, or Afro-Caribbean (Mage = 56.3, 74.7% female). Participants completed measures assessing anticipatory affect (worry about genetic testing results), anticipated distress (feeling devastated if genetic testing showed an increased risk for fatal disease), and anticipated regret (regretting a decision not to learn results). Outcomes were intentions for learning actionable, nonactionable, and carrier results. RESULTS: Anticipated regret was robustly positively associated with intentions to receive actionable (b = 0.28, p < .001), nonactionable (b = 0.39, p < .001), and carrier (b = 0.30, p < .001) results. Anticipated distress was negatively associated with intentions to receive nonactionable results only (b = -0.16, p < .01). Anticipatory negative affect (worry) was not associated with intentions. At higher levels of anticipated regret, anticipated distress was less strongly associated with intentions to receive nonactionable results (b = 0.14, p = .02). CONCLUSIONS: Our results highlight the role of future-oriented emotions in genomic testing among participants who are typically underrepresented in genomic testing studies and behavioral medicine broadly. Future work should examine whether interventions targeting future-oriented emotions such as anticipated regret may have clinically meaningful effects in genetic counseling in similar cohorts.

Future-oriented emotions (emotions directed toward a future outcome, such as worrying about a future outcome, or expecting to feel distress or regret if a particular outcome occurs) are important predictors of health decisions, including decisions to seek and receive genomic testing results. Understanding how such factors relate to decisions to receive genetic testing results is particularly important in medically-underserved groups such as individuals of African ancestry, who are underrepresented in genomics and behavioral science research. We analyzed survey responses from a genomic sequencing cohort where all 408 participants identified as African, African-American, or Afro-Caribbean, and were asked about their level of worry, anticipated distress, and anticipated regret about results, plus their interest in receiving three types of genomic testing results from the study. We found that participants who expected that they would regret their decision to not learn the results had stronger intentions to receive all three types of results; those who expected to feel distressed by a genetic testing result that showed an increased risk for a fatal disease were less interested in nonactionable genetic testing results specifically. Our results highlight the differing roles of specific types of future-oriented emotions in genomic testing decisions, among participants who are typically underrepresented in this type of research.

Impact of Service-Based Student Loan Repayment Program on the Primary Care Workforce.

PURPOSE: As the average level of medical education indebtedness rises, physicians look to programs such as Public Service Loan Forgiveness (PSLF) and National Health Service Corps (NHSC) to manage debt burden. Both represent service-dependent loan repayment programs, but the requirements and program outcomes diverge, and assessing the relative uptake of each program may help to inform health workforce policy decisions. We sought to describe variation in the composition of repayment program participant groups and measure relative impact on patient access to care. METHODS: In this bivariate analysis, we analyzed data from 10,677 respondents to the American Board of Family Medicine's National Graduate Survey to study differences in loan repayment program uptake as well as the unique participant demographics, scope of practice, and likelihood of practicing with a medically underserved or rural population in each program cohort. RESULTS: The rate of PSLF uptake tripled between 2016 and 2020, from 7% to 22% of early career family physicians, while NHSC uptake remained static at 4% to 5%. Family physicians reporting NHSC assistance were more likely than those reporting PSLF assistance to come from underrepresented groups, demonstrated a broader scope of practice, and were more likely to practice in rural areas (23.3% vs 10.8%) or whole-county Health Professional Shortage Areas (12.5% vs 3.7%) and with medically underserved populations (82.2% vs 24.2%). CONCLUSIONS: Although PSLF supports family physicians intending to work in public service, their peers who choose NHSC are much more likely to work in underserved settings. Our findings may prompt a review of the goals of service loan forgiveness programs with potential to better serve health workforce needs.

Patient and Clinician Sociodemographics and Sexual History Screening at a Multisite Federally Qualified Health Center: A Mixed Methods Study.

PURPOSE: In 2018, there were 68 million sexually transmitted infections in the United States. Sexual history screening is an evidence-based practice endorsed by guidelines to identify risk of these infections and adverse sexual health outcomes. In this mixed methods study, we investigated patient- and clinician-level characteristics associated with receipt of sexual history screening, and contextualized these differences in more depth. METHODS: We collected sociodemographics of patients from the electronic health record and sociodemographics of their primary care clinicians via a census survey. Semistructured interviews were conducted with key practice staff. We conducted multilevel crossed random effects logistic regression analysis and thematic analysis on quantitative and qualitative data, respectively. RESULTS: A total of 53,246 patients and 56 clinicians from 13 clinical sites participated. Less than one-half (42.4%) of the patients had any sexual history screening documented in their health record. Patients had significantly higher odds of documented screening if they were gay or lesbian (OR = 1.23), were cisgender women (OR = 1.10), or had clinicians who were cisgender women (OR = 1.80). Conversely, patients' odds of documented screening fell significantly with age (OR per year = 0.99) and with the number of patients their clinicians had on their panels (OR per patient = 0.99), and their odds were significantly lower if their primary language was not English (OR = 0.91). In interviews, key staff expressed discomfort discussing sexual health and noted assumptions about patients who are older, in long-term relationships, or from other cultures. Discordance of patient-clinician gender and patients' sexual orientation were also noted as barriers. CONCLUSIONS: Interventions are needed to address the interplay between the social and contextual factors identified in this study, especially those that elicited discomfort, and the implementation of sexual history screening.

Implementation of a pediatric asthma management program in rural primary care clinics.

OBJECTIVE: Rural communities experience a significant asthma burden. We pilot tested the implementation of Easy Breathing, a decision support program for improving primary care provider adherence to asthma guidelines in a rural community, and characterized asthma risk factors for enrollees. METHODS: We implemented Easy Breathing in two rural primary care practices for two years. Patient demographics, exposure histories, asthma severity, asthma medications, and treatment plans were collected. Providers' adherence to guidelines included the frequency of children with persistent asthma who were prescribed guidelines-based therapy and the frequency of children with a written asthma treatment plan on file. Clinicians provided feedback on the feasibility and acceptability of Easy Breathing using a validated survey tool and through semi-structured interviews. RESULTS: Two providers implemented the program. Enrollment included 518 children, of whom 135 (26%) had physician-confirmed asthma. After enrollment into Easy Breathing, 75% of children with asthma received a written asthma treatment plan All children with persistent asthma were prescribed an anti-inflammatory drug as part of their treatment plan. Providers (n = 2) rated Easy breathing as highly acceptable (M = 4.5), feasible (M = 4.5), and appropriate (M = 4.5). Qualitative feedback was positive, with suggestions to integrate the paper-based program into the electronic health record system for broader uptake. Enrollees with asthma were more likely to have a family history of asthma and endorse exposure to tobacco smoke and cockroaches. CONCLUSIONS: Easy Breathing shows promise as a decision support system that can be implemented in rural, medically underserved communities via primary care.

Evaluating the impact of a child sponsorship programme on paediatric health and development in Calauan, Philippines: A retrospective audit.

AIM: International child sponsorship programmes comprise a considerable proportion of global aid accessible to the general population. Team Philippines (TP), a health care and welfare initiative run in association with the University of Notre Dame Sydney since 2013, leads a holistic sponsorship programme for 30 children from Calauan, Philippines. To date, empirical research has not been performed into the overall success and impact of the TP child sponsorship programme. As such, this study aims to evaluate its effectiveness in improving paediatric outcomes. METHODS: Study cohorts comprised 30 sponsored and 29 age- and gender-matched non-sponsored children. Data were extracted from the TP Medical Director database and life-style questionnaires for July-November 2019. Outcome measures included anthropometry, markers of medical health, dental health, exercise, and diet. Statistical analyses were performed in SPSS. RESULTS: Sponsorship resulted in fewer medical diagnoses and prescription medications, superior dental health, and improved diet. Further, sponsored children may show a clinically significant trend towards improved physical health. Sponsorship did not affect growth and development metrics, or levels of physical activity. CONCLUSIONS: The TP child sponsorship programme significantly impacts positive paediatric health outcomes in the Calauan community. The strength of the programme lies in its holistic, sustainable, and community-based model, which is enabled by effective international child sponsorship. This study further supports the relationship between supporting early livelihood and improved health in the paediatric population.

Training and Dissemination of Lung Cancer Education Curriculum Among Community Health Advisors in the Deep South: a Program Evaluation.

Lung cancer is the leading cause of cancer mortality in the USA. In the rural Black Belt region of Alabama, high rates of lung cancer incidence and mortality coupled with disproportionate lack of access to health services stresses the need for navigating high risk and disproportionately affected groups towards successfully obtaining lung cancer screenings. We utilized our well-accepted Community Health Advisor (CHA) model for education and awareness. This study seeks to evaluate the results of the Alabama Lung Cancer Awareness, Screening, and Education (ALCASE) training on CHAs, program evaluation, and lessons learned. A total of 202 participants were eligible and enrolled for CHA training. One hundred thirty CHAs were included for the final analyses. Descriptive statistics were computed; differences in pre-test and post-test scores were compared across demographic characteristics of the participants using paired t-test/one-way ANOVA. Of the 130 CHAs, 46% were 65 years or older; 98% were African Americans, and 87% were female; 17% of participants were cancer survivors. The mean post-test scores were 2.2 points greater than mean pre-test scores, and the difference was significant (mean (SD): pre-test = 20.8 (2.8) versus post-test = 23 (2.2); p = 0.001). No notable difference in pre-test and post-test scores were observed by CHA's demographic characteristics except by their county of residence or work (p = 0.0019). We demonstrate the capability and value of successfully recruiting and training motivated community members to be able to serve educators to better reach medically underserved and historically excluded communities.

From the Field to the Patient: A Rural Food Recovery-Based Produce Rx Program.

Poor nutrition is a major risk factor for chronic diseases, and emerging produce prescription (PRx) programs are a growing approach to addressing gaps in diet quality to promote health. This article describes a food recovery-based PRx framework called Farm to Clinic (F2C). The F2C program includes a partnership between the North Carolina Association of Free and Charitable Clinics (NCAFCC), Society of Saint Andrews (SoSA), and a local food bank. Patients (n = 4,691) were rural, uninsured, and received care at one of three NCAFCC clinics in Eastern North Carolina. Student volunteers gathered gleaned and/or salvaged produce and delivered it to clinics and/or patients directly. Successes of the current model include complementing chronic disease management and health promotion in a cost-effective way that also assists with reducing food waste. In addition, the patients who participate in the program are connected with produce at their primary care clinic and do not have to drive to an additional community site for produce. Some challenges have included consistency with gleaning; therefore, the program has switched to primarily salvaged produce. Areas for expansion and improvement on the F2C model are also outlined and include incorporating a more prioritized eligibility criteria, provision of additional complimentary resources such as nutrition education and culinary support, as well as improved formal evaluation (e.g., use of food and clinical impact). Finally, the F2C model utilizes community partners that have been established nationwide which allows for replication of a framework in other geographic areas.

Eating Disorder Screening and Treatment in a Medically Underserved Southern State: Data Collected by a Legislative Eating Disorder Council and Implications for Statewide Assessment.

Healthcare providers play a key role in early identification of eating disorders (EDs), especially in underserved states where ED treatment resources are lacking. Currently, there is little known about ED screening and treatment practices in underserved states. The current study assessed current ED screening and treatment practices among healthcare providers in an underserved state using data collected by a government-formed state ED council. Healthcare providers (N = 242; n = 209 behavioral health providers; n = 33 medical providers) practicing in Kentucky completed a brief, anonymous survey on ED screening and treatment practices, comfort with screening for EDs, and interest in continued education. Over half of healthcare providers indicated screening for EDs, with the majority using a clinical interview. After identification of ED symptoms, providers reported a combination of treating in-house, referring out, or seeking consultation. In bivariate analyses, medical providers were significantly more likely than behavioral health providers to use a screening tool specifically designed for EDs. The majority of medical providers indicated that they received education about EDs and feel knowledgeable about ED screening tools, though most reported infrequent use of these screening tools in their practice. Nearly all behavioral health and medical providers expressed interest in continuing education on ED screening and treatment. These findings indicate a need for, and interest in, education on evidence-based ED screening and treatment resources in underserved states and demonstrate the utility of a state ED council to collect these data to inform future education and treatment strategies.

Perceptions and knowledge of older adults: An analysis of interprofessional education and medically underserved populations.

This study explored an academic Interprofessional Geriatric Case Competition (IGCC) experience with a focus on medically underserved populations. Our aims were to assess: the perceptions of and knowledge of older adult populations; and the overall IPE (Interprofessional Education) experience of the IGCC participants. A multi-method study approach was used, the Facts on Aging Quiz assessed knowledge and the Carolina Opinions on Care of Older Adults (COCOA) assessed perceptions. A qualitative thematic approach was utilized to explore the themes of the IPE experience. There was a moderate correlation (0.37, p < .001) between perception and knowledge data of the respondents (N = 94), current professionals (54%) and enrolled students (46%). The three emerged themes were as follows: interprofessional/holistic practice; culturally responsive/older adult centered practice; and the impact of Covid-19. The implementation of IPE that centers medically underserved populations has the potential to: enhance students learning, influence the quality of care, and provide pathways to working within these specific populations.

Joint exposure to urban-rural status and medically underserved area residence and risk of severe COVID-19 outcomes in 2020.

INTRODUCTION: The purpose of this study is to estimate the risk of severe COVID-19 among individuals residing in rural, medically underserved counties compared to those living in other counties. METHODS: Individual-level COVID-19 hospitalization and death data and demographic variables were downloaded from the Centers for Disease Control and Prevention. The 2013 National Center for Health Statistics Urban-Rural Classification Scheme was used to classify urban and rural counties. Health Resources and Services Administration's medically underserved area (MUA) designation was used to identify underserved counties. County-level data were drawn from the 2015-2019 American Community Survey 5-year estimates. Analytic samples included data from Minnesota and Montana in 2020. Urban-rural/MUA joint exposure categories were created: rural/MUA, rural/non-MUA, urban/MUA, urban/non-MUA. Hierarchical logistic regression models estimated associations (odds ratios and 95% confidence intervals (CI)) between rurality, MUA status, joint urban-rural/MUA status, and severe COVID-19, overall and stratified by age and state. Models were adjusted for individual- and county-level demographics. RESULTS: The odds of severe outcomes among those living in rural counties were 13% lower (95%CI: 0.83-0.91) than those in urban counties. The odds of severe outcomes among those living in MUA counties were 24% higher (95%CI: 1.18-1.30) than those in non-MUA counties. For joint exposure analyses, the odds of severe outcomes were highest among those living in urban/MUA counties compared to those in rural/non-MUA counties (adjusted odds ratio: 1.36, 95%CI: 1.27-1.44). CONCLUSION: In 2020, the risk of severe COVID-19 was more pronounced in urban counties and underserved areas. Results highlight the need for locality-based public health recommendations that account for rural and underserved areas and may inform future pandemic preparedness by identifying counties most in need of resources and education at various stages of the pandemic.

Recruitment and retention of general practitioners in European medical deserts: a systematic review.

INTRODUCTION: Despite policies aiming at universal health coverage by ensuring availability and accessibility of general practitioners (GPs), medically underserved areas are still present in Europe. This systematic review aims to summarize and compare literature on interventions and their potential effectiveness of GP recruitment and retention in these underserved areas ('medical deserts') from 2011 onwards. METHODS: PubMed and Embase were used to identify publications, applying a two-stage selection process. All types of study designs, published in the past 10 years, were included if they discussed a possible intervention for GP recruitment or retention covering an underserved area in an EU-27/EEA/EFTA country (part of the European Union, the European Economic Area or the European Free Trade Association). Exclusion criteria were abstracts or full text not available, conference abstracts, poster presentations, books or overlapping secondary literature. Identified interventions were classified into four categories: 'education', 'professional and personal support', 'financial incentives' and 'regulation'. Eligible articles were critically appraisal by two authors (JB, LF), independently, by using the Joanna Briggs Institute checklist. RESULTS: Of the 294 publications initially retrieved, 25 publications were included. Of them, 14 (56%) described educational interventions, 13 (52%) professional and personal support, and 11 (40%) financial or regulatory interventions. Overlapping categories were often described (56%). The effectiveness of educational or supportive interventions has mainly been evaluated cross-sectionally, whereby causal inference on future GP availability cannot be implied. Few and mixed results were found for the effectiveness of financial and regulatory interventions, because period co-interventions were not taken into account during the study. CONCLUSION: In the past 10 years, educational and supportive interventions to improve GP recruitment and retention have been reported most frequently, but often overlapping strategies are seen. While multiple strategies have potential to be effective, their limited evaluation makes it difficult to provide suggestions for policymakers to adapt their GP recruitment and retention strategies aiming at a best-practice approach in European medical deserts.

Relative remoteness and wage differentials in the Canadian allied health professional workforce.

INTRODUCTION: Health workforces around the world are characterized with geographic maldistribution, often leading to inequalities in rural health outcomes. Monetary incentives are frequently raised as a policy option to bolster recruitment of healthcare practitioners to rural and underserved communities; however, few rural health workforce studies focus on allied health professionals (AHPs), include urban comparators, integrate gender considerations, or measure rural diversity. This population-based observational study examines trends in the geographic and gender distribution and earnings of AHPs in Canada across the rural-urban continuum. METHODS: Nationally representative data from the 2006 and 2016 Canadian population censuses were pooled and linked with the geocoded Index of Remoteness for all inhabited communities. Five groups of university-educated AHPs providing prevention, diagnostic evaluation, therapy, and rehabilitation services were identified by occupation. Multiple linear regression models were used to estimate the associations between relative remoteness and annual earnings of AHPs aged 25-54 years, controlling for gender and other personal and professional characteristics. RESULTS: The density of AHPs was found to be 15 times higher in more urbanized and accessible parts of the country (23.6-25.6 per 10 000 population in 2016) compared to the most rural and remote areas (1.6 per 10 000 population), a pattern that changed little over the previous decade. A positive correlation was seen across occupations in terms of the degree of feminization and their geographic dispersion by relative remoteness. While pharmacists residing in more rural and remote communities earned 9% (95% confidence interval 4-15%) more than those in core urban centers, relative remoteness contributed little to wage differentials among dentists, physiotherapists and occupational therapists, or other AHPs in therapy and assessment (no significant difference at p<0.05). Women earned significantly less than men in dentistry, pharmacy, and physical or occupational therapy, after adjusting for remoteness and other characteristics. CONCLUSION: This study did not find consistent wage disparities by relative remoteness as characterizing allied health professions in Canada. The evidence base to support financial incentives to AHPs to reduce perceived opportunity costs associated with working and living in rural and underserved areas remains limited. More research is needed on the intersections of rurality, gender, and wage differentials among AHPs in different national contexts.

Using a human-centered, mixed methods approach to understand the patient waiting experience and its impact on medically underserved Populations.

PURPOSE: To use a mixed methods approach to investigate the patient waiting experience for a medically underserved population at an outpatient surgical clinic. METHODS: We used lean methodology to perform 96 time-tracked observations of the patient journey in clinic, documenting the duration of activities from arrival to departure. We also used human-centered design (HCD) to perform and analyze 43 semi-structured interviews to understand patients' unmet needs. RESULTS: Patients spent an average of 68.5% of their total clinic visit waiting to be seen. While the average visit was 95.8 minutes, over a quarter of visits (27%) were over 2 hours. Patients waited an average of 24.4 minutes in the waiting room and 41.2 minutes in the exam room; and only spent 19.7% of their visit with an attending provider and 11.8% with a medical assistant. Interviews revealed that patients arrive to their visit already frustrated due to difficulties related to scheduling and attending their appointment. This is exacerbated during the visit due to long wait times, perceived information opacity, and an uncomfortable waiting room, resulting in frustration and anxiety. CONCLUSIONS: While time tracking demonstrated that patients spend a majority of their visit waiting to be seen, HCD revealed that patient frustrations span the waiting experience from accessing the appointment to visit completion. These combined findings are crucial for intervention design and implementation for medically underserved populations to improve the quality and experience with healthcare and also address system inefficiencies such as long wait times.