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.

Understanding factors associated with COVID-19 vaccination among health care workers using the Diffusion of Innovation Theory.

BACKGROUND: The COVID-19 vaccine was initially offered to frontline health care workers (HCWs), due to the high risk of contracting COVID-19 through occupational exposure to patients. Low HCW vaccine uptake can impact overall community-level vaccine uptake. This study used the Diffusion of Innovation (DOI) Theory to understand factors related to COVID-19 vaccine uptake in HCWs. METHODS: We surveyed Pennsylvanian HCWs (excluding Philadelphia) from August 2022 to February 2023. Survey questions inquired about demographics, COVID-19 vaccination status, reasons for receiving/declining the COVID-19 vaccine, and sources of information about the vaccine. RESULTS: Participants (n = 3,490) were 85% female, 89% White, and 93% (n = 3,255) reported receiving at least one dose of a COVID-19 vaccine. HCWs were categorized into adopter categories of the DOI Theory: innovators (56%), early adopters (9%), early majority (11%), late majority (7%), and laggards (17%). The major reason that prompted participants to get the vaccine was to protect them against COVID-19 infection (78%), while the major reason for declining the vaccine was due to concern about possible side effects from the vaccine (78%). CONCLUSIONS: We applied the DOI Theory to characterize adopters and identify factors related to COVID-19 vaccine uptake in HCWs. As updated COVID-19 vaccines are approved for the United States market, our findings may be used to improve vaccine education and communication among HCWs to support vaccine uptake.