首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >Adverse social factors and all-cause mortality among male and female patients receiving care in the Veterans Health Administration
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Adverse social factors and all-cause mortality among male and female patients receiving care in the Veterans Health Administration

机译:在退伍军人健康管理局接受护理的男性和女性患者之间的不利社会因素和全因死亡

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摘要

Social factors account more for health outcomes than medical care, yet health services research in this area is limited due to the lack of social factors data contained within electronic health records (EHR) systems. Few investigations have examined how cumulative burdens of co-occurring adverse social factors impact health outcomes. From 293,872 patients in one region of the Veterans Health Administration (VHA), we examined how increasing numbers of adverse social factors extracted from the EHR were associated with mortality across a one-year period for male and female patients. Adverse social factors were identified using four sources in the EHR: responses to universal VHA screens, International Classification of Disease (ICD) diagnostic codes that indicate social factors, receipt of VHA services related to social factors, and templated social work referrals. Seven types of adverse social factors were coded: violence, housing instability, employment or financial problems, legal issues, social or familial problems, lack of access to care or transportation, and nonspecific psychosocial needs. Overall, each increase in an adverse social factor was associated with 27% increased odds of mortality, after accounting for demographics, medical comorbidity, and military service-related disability. Non-specific psychosocial factors were most strongly associated with mortality, followed by social or familial problems. Although women were more likely than men to have multiple adverse social factors, social factors were not associated with mortality among women as they were among men. By incorporating social factors data, health care systems can better understand patient all-cause mortality and identify potential prevention efforts built around social determinants.
机译:与医疗保健相比,社会因素对健康结果的影响更大,但由于缺乏电子健康记录(EHR)系统中包含的社会因素数据,该领域的卫生服务研究受到限制。很少有调查研究共同发生的不良社会因素的累积负担如何影响健康结果。从退伍军人健康管理局(VHA)一个地区的293872名患者中,我们研究了从EHR中提取的越来越多的不良社会因素如何与男性和女性患者一年期间的死亡率相关。使用EHR中的四个来源确定了不利的社会因素:对通用VHA筛查的反应、指示社会因素的国际疾病分类(ICD)诊断代码、接受与社会因素相关的VHA服务,以及模板化的社会工作转诊。对七类不利的社会因素进行了编码:暴力、住房不稳定、就业或经济问题、法律问题、社会或家庭问题、缺乏获得护理或交通的机会,以及非特异性的心理社会需求。总的来说,在考虑人口统计学、医疗共病和兵役相关残疾后,不利社会因素的每一次增加都与27%的死亡率增加相关。非特异性心理社会因素与死亡率的相关性最强,其次是社会或家庭问题。虽然女性比男性更有可能存在多种不利的社会因素,但社会因素与女性死亡率的关系与男性不同。通过整合社会因素数据,医疗系统可以更好地了解患者全因死亡率,并确定围绕社会决定因素进行的潜在预防工作。

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