Fatih Gezer, Kerry A Howard, Kevin J Bennett, Alain H Litwin, Kerry K Sease, Lior Rennert
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In this retrospective study, we used generalized linear mixed effects models and ordinal logistic regression models to identify factors associated with, and predictive of, MHC utilization for COVID-19 vaccination by census tract. The MHCs conducted 260 visits to 149 sites and 107 census tracts. The site-level analysis showed that visits to schools (RR = 2.17, 95% CI = 1.47-3.21), weekend visits (RR = 1.38, 95% CI = 1.03-1.83), and visits when the resources were limited (term 1: 7.11, 95% CI = 4.43-11.43) and (term 2: 2.40, 95% CI = 1.76-3.26) were associated with greater MHC utilization for COVID-19 vaccination. MHC placement near existing vaccination centers (RR = 0.79, 95% CI = 0.68-0.93) and hospitals (RR = 0.83, 95% CI = 0.71-0.96) decreased utilization. Predictive models identified 1,227 (94.7%) census tracts with more than 250 individuals per MHC visit when vaccine resources were limited. Predictions showed satisfactory accuracy (72.6%). The census tracts with potential of high MHC demand had higher adolescent, 30-44 years old, and non-White populations; lower Primary Care Practitioners per 1,000 residents; fewer hospitals; and higher cumulative COVID-19 emergency department visits and deaths (compared to census tracts with low MHC demand). After the vaccines became widely available, the demand at MHCs declined. These study findings can improve MHC allocation by identifying and prioritizing medically underserved communities for strategic delivery of these limited resources, especially during health emergencies.</p>","PeriodicalId":74466,"journal":{"name":"PLOS global public health","volume":"5 6","pages":"e0003837"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12136404/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predicting mobile health clinic utilization for COVID-19 vaccination in South Carolina: A statistical framework for strategic resource allocation.\",\"authors\":\"Fatih Gezer, Kerry A Howard, Kevin J Bennett, Alain H Litwin, Kerry K Sease, Lior Rennert\",\"doi\":\"10.1371/journal.pgph.0003837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Mobile health clinics (MHCs) are effective tools for providing health services to disadvantaged populations, especially during health emergencies. However, patient utilization of MHC services varies substantially. Strategies to increase utilization are needed to maximize the effectiveness of MHC services by serving more patients in need. The purpose of this study is to develop a statistical framework to identify and prioritize high-risk communities for delivery of MHCs during health emergencies. Prisma Health MHCs delivered COVID-19 vaccines to communities throughout South Carolina between February 20, 2021, and February 17, 2022. In this retrospective study, we used generalized linear mixed effects models and ordinal logistic regression models to identify factors associated with, and predictive of, MHC utilization for COVID-19 vaccination by census tract. The MHCs conducted 260 visits to 149 sites and 107 census tracts. The site-level analysis showed that visits to schools (RR = 2.17, 95% CI = 1.47-3.21), weekend visits (RR = 1.38, 95% CI = 1.03-1.83), and visits when the resources were limited (term 1: 7.11, 95% CI = 4.43-11.43) and (term 2: 2.40, 95% CI = 1.76-3.26) were associated with greater MHC utilization for COVID-19 vaccination. MHC placement near existing vaccination centers (RR = 0.79, 95% CI = 0.68-0.93) and hospitals (RR = 0.83, 95% CI = 0.71-0.96) decreased utilization. Predictive models identified 1,227 (94.7%) census tracts with more than 250 individuals per MHC visit when vaccine resources were limited. Predictions showed satisfactory accuracy (72.6%). The census tracts with potential of high MHC demand had higher adolescent, 30-44 years old, and non-White populations; lower Primary Care Practitioners per 1,000 residents; fewer hospitals; and higher cumulative COVID-19 emergency department visits and deaths (compared to census tracts with low MHC demand). 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引用次数: 0
摘要
流动卫生诊所是向弱势群体提供卫生服务的有效工具,特别是在突发卫生事件期间。然而,患者对MHC服务的利用差异很大。需要提高利用率的战略,通过为更多有需要的患者提供服务,最大限度地提高MHC服务的有效性。本研究的目的是建立一个统计框架,以确定和优先考虑在卫生紧急情况下提供mhc的高危社区。Prisma Health MHCs于2021年2月20日至2022年2月17日期间向南卡罗来纳州各地社区提供了COVID-19疫苗。在这项回顾性研究中,我们使用广义线性混合效应模型和有序逻辑回归模型来确定与人口普查区COVID-19疫苗接种中MHC使用相关的因素并预测其使用情况。卫生保健专员对149个地点和107个人口普查区进行了260次访问。站点水平分析显示,访问学校(RR = 2.17, 95% CI = 1.47-3.21)、周末访问(RR = 1.38, 95% CI = 1.03-1.83)以及资源有限时的访问(第1期:7.11,95% CI = 4.43-11.43)和(第2期:2.40,95% CI = 1.76-3.26)与COVID-19疫苗接种的MHC利用率较高相关。在现有疫苗接种中心(RR = 0.79, 95% CI = 0.68-0.93)和医院(RR = 0.83, 95% CI = 0.71-0.96)附近放置MHC降低了利用率。在疫苗资源有限的情况下,预测模型确定了1227个(94.7%)人口普查区,每次MHC访问超过250人。预测的准确度令人满意(72.6%)。具有MHC高需求潜力的人口普查区青少年、30-44岁和非白人人口较多;每千名居民的初级保健从业人数较低;更少的医院;累计COVID-19急诊就诊和死亡人数更高(与MHC需求较低的人口普查区相比)。在疫苗广泛使用后,mhc的需求下降了。这些研究结果可以通过确定和优先考虑医疗服务不足的社区,以战略性地提供这些有限的资源,特别是在突发卫生事件期间,来改善MHC分配。
Predicting mobile health clinic utilization for COVID-19 vaccination in South Carolina: A statistical framework for strategic resource allocation.
Mobile health clinics (MHCs) are effective tools for providing health services to disadvantaged populations, especially during health emergencies. However, patient utilization of MHC services varies substantially. Strategies to increase utilization are needed to maximize the effectiveness of MHC services by serving more patients in need. The purpose of this study is to develop a statistical framework to identify and prioritize high-risk communities for delivery of MHCs during health emergencies. Prisma Health MHCs delivered COVID-19 vaccines to communities throughout South Carolina between February 20, 2021, and February 17, 2022. In this retrospective study, we used generalized linear mixed effects models and ordinal logistic regression models to identify factors associated with, and predictive of, MHC utilization for COVID-19 vaccination by census tract. The MHCs conducted 260 visits to 149 sites and 107 census tracts. The site-level analysis showed that visits to schools (RR = 2.17, 95% CI = 1.47-3.21), weekend visits (RR = 1.38, 95% CI = 1.03-1.83), and visits when the resources were limited (term 1: 7.11, 95% CI = 4.43-11.43) and (term 2: 2.40, 95% CI = 1.76-3.26) were associated with greater MHC utilization for COVID-19 vaccination. MHC placement near existing vaccination centers (RR = 0.79, 95% CI = 0.68-0.93) and hospitals (RR = 0.83, 95% CI = 0.71-0.96) decreased utilization. Predictive models identified 1,227 (94.7%) census tracts with more than 250 individuals per MHC visit when vaccine resources were limited. Predictions showed satisfactory accuracy (72.6%). The census tracts with potential of high MHC demand had higher adolescent, 30-44 years old, and non-White populations; lower Primary Care Practitioners per 1,000 residents; fewer hospitals; and higher cumulative COVID-19 emergency department visits and deaths (compared to census tracts with low MHC demand). After the vaccines became widely available, the demand at MHCs declined. These study findings can improve MHC allocation by identifying and prioritizing medically underserved communities for strategic delivery of these limited resources, especially during health emergencies.