Project description:BackgroundThe Health Resources and Services Administration (HRSA), an agency within the U.S. Department of Health and Human Services (HHS), works to ensure accessible, quality, health care for the nation's underserved populations, especially those who are medically, economically, or geographically vulnerable. HRSA-designated primary care Health Professional Shortage Areas (pcHPSAs) provide a vital measure by which to identify underserved populations and prioritize locations and populations lacking access to adequate primary and preventive health care-the foundation for advancing health equity and maintaining health and wellness for individuals and populations. However, access to care is a complex, multifactorial issue that involves more than just the number of health care providers available, and pcHPSAs alone cannot fully characterize the distribution of medically, economically, and geographically vulnerable populations.Methods and findingsIn this county-level analysis, we used descriptive statistics and multiple correspondence analysis to assess how HRSA's pcHPSA designations align geographically with other established markers of medical, economic, and geographic vulnerability. Reflecting recognized social determinants of health (SDOH), markers included demographic characteristics, race and ethnicity, rates of low birth weight births, median household income, poverty, educational attainment, and rurality. Nationally, 96 percent of U.S. counties were either classified as whole county or partial county pcHPSAs or had one or more established markers of medical, economic, or geographic vulnerability in 2017, suggesting that at-risk populations were nearly ubiquitous throughout the nation. Primary care HPSA counties in HHS Regions 4 and 6 (largely lying within the southeastern and south central United States) had the most pervasive and complex patterns in population risk.ConclusionHHS Regions displayed unique signatures with respect to SDOH markers. Descriptive and analytic findings from our work may help inform health workforce and health care planning at all levels, and, by illustrating both the complexity of and differences in county-level population characteristics in pcHPSA counties, our findings may have relevance for strengthening the delivery of primary care and addressing social determinants of health in areas beset by provider shortages.
Project description:ObjectiveTo describe the distribution of Veterans in areas of the United States where there are potentially inadequate supplies of health professionals, and to explore opportunities suggested by this distribution for fostering health workforce flexibility.Data sourcesCounty-level data from the 2015-2016 Health Resources and Services Administration's (HRSA's) Area Health Resources Files (AHRF) were used to estimate Veteran populations in HRSA-designated health professional shortage areas (HPSAs). This information was then linked to 2015 VA health facility information from the Department of Veterans Affairs.Study designPotential Veteran populations living in Shortage Area Counties with no VHA facilities were estimated, and the composition of these populations was explored by Census division and state.Principal findingsNationwide, approximately 24 percent of all Veterans and 23 percent of Veterans enrolled in VHA health care live in Shortage Area Counties. These estimates mask considerable variation across states.ConclusionsAn examination of Veterans residing in Shortage Area Counties suggests extensive maldistribution of health services across the United States and the continued need to find ways to improve health care access for all Veterans. Effective avenues for doing so may include increasing health workforce flexibility through expansion of nurse practitioner scopes of practice.
Project description:ObjectiveTo characterize associations between living in primary care shortage areas and graft failure/death for children after liver transplantation.Study designThis was an observational study of all pediatric patients (aged <19 years) who received a liver transplant between January 1, 2005, and December 31, 2015 in the US, with follow-up through January 2019 (N = 5964). One hundred ninety-five patients whose home ZIP code could not be matched to primary care shortage area status were excluded. The primary outcome was a composite endpoint of graft failure or death. We used Cox proportional hazards to model the associations between health professional shortage area (HPSA) and graft failure/death.ResultsChildren living in HPSAs had lower estimated graft survival rates at 10 years compared with those not in HPSAs (76% vs 80%; P < .001). In univariable analysis, residence in an HPSA was associated with a 22% higher hazard of graft failure/death than non-residence in an HPSA (hazard ratio [HR], 1.22; 95% CI, 1.09-1.36; P < .001). Black children from HPSAs had a 67% higher hazard of graft failure/death compared with those not in HPSAs (HR, 1.67; 95% CI, 1.29 to 2.16; P = .006); the effect of HPSA status was less pronounced for White children (HR, 1.11; 95% CI, 0.98-1.27; P = .10).ConclusionsChildren living in primary care shortage areas are at increased risk of graft failure and death after liver transplant, and this risk is particularly salient for Black children. Future work to understand how living in these regions contributes to adverse outcomes may enable teams to mitigate this risk for all children with chronic illness.
Project description:Background and objectiveResearch in several countries shows higher Covid-19 vaccination willingness and uptake among physicians than nurses. Our paper aims to characterize and explain this difference.MethodsIn early 2021, we surveyed 1047 U.S. primary care professionals who served adolescents, ages 11-17. The national sample included physicians (71%) as well as nurses and advanced practice providers. The survey assessed the three domains of the Increasing Vaccination Model: thinking and feeling, social processes, and direct behavior change.ResultsCovid-19 vaccine uptake was higher among physicians than among nurses and advanced practice providers (91% vs. 76%, p < .05). Overall, in the thinking and feeling domain, higher confidence in Covid-19 vaccination, higher perceived susceptibility to the disease, and stronger anticipated regret were associated with higher vaccine uptake (all p < .05). In the social processes domain, perceiving more positive social norms for Covid-19 vaccination, receiving recommendations to get the vaccine, and wanting to help others were associated with higher vaccine uptake (all p < .05). In the direct behavior change domain, receiving an invitation to get the vaccine and better access to vaccination were associated with higher uptake (both p < .05). Of these variables, most of the thinking and feeling and social processes variables mediated the association of training with vaccine uptake.ConclusionsPhysicians had higher Covid-19 vaccine uptake than nurses and advanced practice providers, corresponding with their more supportive vaccine beliefs and social experiences. Efforts to reach the remaining unvaccinated cohort can build on these findings.
Project description:In a world being hit by waves of COVID-19, vaccination is a light on the horizon. However, the roll-out of vaccination strategies and their influence on the pandemic are still open questions. In order to compare the effect of various strategies proposed by the World Health Organization and other authorities, a previously developed SEIRS stochastic model of geographical spreading of the virus is extended by adding a compartment for vaccinated people. The parameters of the model were fitted to describe the pandemic evolution in Argentina, Mexico and Spain to analyze the effect of the proposed vaccination strategies. The mobility parameters allow to simulate different social behaviors (e.g. lock-down interventions). Schemes in which vaccines are applied homogeneously in all the country, or limited to the most densely-populated areas, are simulated and compared. The second strategy is found to be more effective. Moreover, under the current global shortage of vaccines, it should be remarked that immunization is enhanced when mobility is reduced. Additionally, repetition of vaccination campaigns should be timed considering the immunity lapse of the vaccinated (and recovered) people. Finally, the model is extended to include the effect of isolation of detected positive cases, shown to be important to reduce infections.
Project description:Healthcare organizations have been early adopters of Covid-19 vaccine mandates as a strategy to end the pandemic. We sought to evaluate support for such mandates among pediatric primary care professionals (PCPs) in the United States. In February-March 2021, we conducted a national online survey of 1,047 PCPs (71% physicians). We used multivariable logistic regression to assess correlates of PCPs' support for Covid-19 vaccine mandates for health care workers. Most PCPs supported Covid-19 vaccine mandates for health care workers (83%). PCPs were more likely to support mandates if they perceived health care workers to be at highest risk of getting Covid-19 compared to other worker types (8 percentage points, p < 0.01). PCPs were also more likely to support mandates if their clinic recommended or required vaccination (11 percentage points and 20 percentage points respectively, both p < 0.01). However, PCPs were less likely to support mandates if their clinic offered incentives to vaccinate (10 percentage points, p < 0.05). Clinic recommendations and requirements for Covid-19 vaccination may increase support for mandates. Incentives may decrease support, perhaps by creating the perception that viable alternatives to mandates exist.
Project description:RNA was extracted from whole blood of subjects collected in Tempus tubes prior to COVID-19 mRNA booster vaccination. D01 and D21 correspond to samples collected at pre-dose 1 and pre-dose 2 respectively. RNA was also extracted from blood collected at indicated time points post-vaccination. DB1, DB2, DB4 and DB7 correspond to booster day 1 (pre-booster), booster day 2, booster day 4 and booster day 7 respectively. The case subject experienced cardiac complication following mRNA booster vaccination. We performed gene expression analysis of case versus controls over time.