Lyn Rodney, Heath Erica, Torres Andrea, Andrews Christine
School of Public Health, Georgia State University, Atlanta, GA, 30303, USA.
ICF, Fairfax, VA, 22031, USA.
SSM Popul Health. 2020 Jun 23;11:100618. doi: 10.1016/j.ssmph.2020.100618. eCollection 2020 Aug.
This exploratory study investigates counties in the southeast United States with mortality outcomes that were better than might be expected given their sociodemographic profiles (i.e., positive deviance). This study seeks to understand the community characteristics with the potential to moderate the negative health outcomes typically associated with social, geographic, or economic disadvantages. This article describes the process used to identify positive deviants and reports on the findings from key informant interviews in positive deviant counties to identify community factors or practices that might contribute to positive deviance in the observed outcomes. County Health Rankings and Roadmaps 2015 data and mortality trends were examined to identify positive deviant counties. The inclusion criteria were median household incomes in the lowest tertile of their state, ≥ 33% African American, and premature mortality rankings (as measured by Years of Potential Life Lost-YPLL) in the top quartile within their state. After benchmarking county rates against national figures and retaining counties with significant improvement trends, two counties emerged as positive deviants, Dooly County, Georgia and Washington County, North Carolina. Key informant interviews (n = 11) were conducted with community stakeholders in the study counties to better understand the community characteristics that could lead to the observed outcomes. Interview data were analyzed using qualitative methods. Key informant interviews revealed three emergent themes: 1. accessibility and availability of healthcare, 2. the provision of a robust EMS system, and 3. coordination of county-funded services targeting vulnerable populations. The positive deviance framework provides a foundation for the identification of community factors or practices with the potential to create a 'culture of health' in communities at the greatest risk for adverse health outcomes. Our findings suggest that healthcare supported by the coordination of non-emergency transportation and health and social services across numerous stakeholders may have contributed to observed outcomes in the study counties.
这项探索性研究调查了美国东南部的一些县,这些县的死亡率结果优于根据其社会人口概况所预期的情况(即正向偏差)。本研究旨在了解那些有可能缓和通常与社会、地理或经济劣势相关的负面健康结果的社区特征。本文描述了用于识别正向偏差者的过程,并报告了在正向偏差县进行的关键信息提供者访谈的结果,以确定可能导致观察到的结果中出现正向偏差的社区因素或做法。研究人员审查了《2015年县健康排名与路线图》数据及死亡率趋势,以识别正向偏差县。纳入标准为家庭收入中位数处于该州最低三分位数、非裔美国人占比≥33%,以及在该州内潜在寿命损失年数(YPLL)排名处于前四分位数的过早死亡率排名。在将各县数据与全国数据进行基准对比并保留具有显著改善趋势的县之后,出现了两个正向偏差县,佐治亚州的杜利县和北卡罗来纳州的华盛顿县。对研究县的社区利益相关者进行了关键信息提供者访谈(n = 11),以更好地了解可能导致观察到的结果的社区特征。访谈数据采用定性方法进行分析。关键信息提供者访谈揭示了三个新出现的主题:1. 医疗保健的可及性和可得性;2. 提供强大的紧急医疗服务系统;3. 针对弱势群体的县资助服务的协调。正向偏差框架为识别那些有可能在面临不良健康结果风险最大的社区中创造“健康文化”的社区因素或做法提供了基础。我们的研究结果表明,由众多利益相关者协调非紧急交通以及健康和社会服务所支持的医疗保健可能促成了研究县观察到的结果。