Howell Carrie R, Bradley Heather, Zhang Li, Cleveland John D, Long Dustin, Horton Trudi, Krantz Olivia, Mugavero Michael J, Williams Winter L, Amerson Alesha, Cherrington Andrea L
Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Care Transitions, University of Alabama at Birmingham, Birmingham, AL, USA.
Digit Health. 2023 May 22;9:20552076231176652. doi: 10.1177/20552076231176652. eCollection 2023 Jan-Dec.
OBJECTIVE: To describe the real-world deployment of a tool, the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), to assess social determinants of health (SDoH) in an electronic medical record (EMR). METHODS: We employed the collection of the PRAPARE tool in the EMR of a large academic health system in the ambulatory clinic and emergency department setting. After integration, we evaluated SDoH prevalence, levels of missingness, and data anomalies to inform ongoing collection. We summarized responses using descriptive statistics and hand-reviewed data text fields and patterns in the data. Data on patients who were administered with the PRAPARE from February to December 2020 were extracted from the EMR. Patients missing ≥ 12 PRAPARE questions were excluded. Social risks were screened using the PRAPARE. Information on demographics, admittance status, and health coverage were extracted from the EMR. RESULTS: Assessments with = 6531 were completed (mean age 54 years, female (58.6%), 43.8% Black). Missingness ranged from 0.4% (race) to 20.8% (income). Approximately 6% of patients were homeless; 8% reported housing insecurity; 1.4% reported food needs; 14.6% had healthcare needs; 8.4% needed utility assistance; and 5% lacked transportation related to medical care. Emergency department patients reported significantly higher proportions of suboptimal SDoH. CONCLUSIONS: Integrating the PRAPARE assessment in the EMR provides valuable information on SDoH amenable to intervention, and strategies are needed to increase accurate data collection and to improve the use of data in the clinical encounter.
目的:描述一种工具——应对和评估患者资产、风险及经历协议(PRAPARE)在电子病历(EMR)中用于评估健康的社会决定因素(SDoH)的实际应用情况。 方法:我们在一家大型学术医疗系统的门诊和急诊科的电子病历中采用了PRAPARE工具进行收集。整合后,我们评估了SDoH的患病率、缺失水平和数据异常情况,以为持续收集提供信息。我们使用描述性统计方法总结了回答情况,并人工审查了数据文本字段和数据中的模式。从电子病历中提取了2020年2月至12月接受PRAPARE评估的患者的数据。排除了缺失≥12个PRAPARE问题的患者。使用PRAPARE筛查社会风险。从电子病历中提取了人口统计学、入院状态和医保覆盖范围的信息。 结果:共完成了6531份评估(平均年龄54岁,女性占58.6%,黑人占43.8%)。缺失率从0.4%(种族)到20.8%(收入)不等。约6%的患者无家可归;8%报告住房不安全;1.4%报告有食物需求;14.6%有医疗保健需求;8.4%需要水电援助;5%缺乏与医疗护理相关的交通。急诊科患者报告的SDoH次优比例显著更高。 结论:将PRAPARE评估整合到电子病历中可提供有关适合干预的SDoH的有价值信息,需要采取策略来增加准确的数据收集,并改善临床诊疗中数据的使用。
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