Prevention Research Center, Brown School, Washington University in St. Louis, St. Louis, Missouri, USA.
Institute for Public Health, Washington University in St. Louis, St. Louis, Missouri, USA.
Health Serv Res. 2023 Feb;58(1):67-77. doi: 10.1111/1475-6773.14039. Epub 2022 Jul 31.
To understand the frequency of social determinants of health (SDOH) diagnosis codes (Z-codes) within the electronic health record (EHR) for patients with prediabetes and diabetes and examine factors influencing the adoption of SDOH documentation in clinical care.
EHR data and qualitative interviews with health care providers and stakeholders.
An explanatory sequential mixed methods design first examined the use of Z-codes within the EHR and qualitatively examined barriers to documenting SDOH. Data were integrated and interpreted using a joint display. This research was informed by the Framework for Dissemination and Utilization of Research for Health Care Policy and Practice.
DATA COLLECTION/EXTRACTION METHODS: We queried EHR data for patients with a hemoglobin A1c > 5.7 between October 1, 2015 and September 1, 2020 (n = 118,215) to examine the use of Z-codes and demographics and outcomes for patients with and without social needs. Semi-structured interviews were conducted with 23 participants (n = 15 health care providers; n = 7 billing and compliance stakeholders). The interview questions sought to understand how factors at the innovation-, individual-, organizational-, and environmental-level influence SDOH documentation. We used thematic analysis to analyze interview data.
Patients with social needs were disproportionately older, female, Black, uninsured, living in low-income and high unemployment neighborhoods, and had a higher number of hospitalizations, obesity, prediabetes, and type 2 diabetes than those without a Z-code. Z-codes were not frequently used in the EHR (<1% of patients), and there was an overall lack of congruence between quantitative and qualitative results related to the prevalence of social needs. Providers faced barriers at multiple levels (e.g., individual-level: discomfort discussing social needs; organizational-level: limited time, competing priorities) for documenting SDOH and identified strategies to improve documentation.
Providers recognized the impact of SDOH on patient health and had positive perceptions of screening for and documenting social needs. Implementation strategies are needed to improve systematic documentation.
了解电子健康记录(EHR)中糖尿病前期和糖尿病患者社会决定因素健康(SDOH)诊断代码(Z 代码)的出现频率,并研究影响临床护理中 SDOH 文档记录的因素。
EHR 数据和对医疗保健提供者和利益相关者的定性访谈。
采用解释性顺序混合方法设计,首先检查 EHR 中 Z 代码的使用情况,并定性研究记录 SDOH 的障碍。使用联合展示对数据进行整合和解释。这项研究的依据是用于医疗保健政策和实践的研究传播和利用框架。
数据收集/提取方法:我们查询了 2015 年 10 月 1 日至 2020 年 9 月 1 日期间糖化血红蛋白 A1c>5.7 的患者的 EHR 数据,以检查 Z 代码的使用情况以及有和没有社会需求的患者的人口统计学和结果。对 23 名参与者(15 名医疗保健提供者;7 名计费和合规利益相关者)进行了半结构化访谈。访谈问题旨在了解创新、个体、组织和环境层面的因素如何影响 SDOH 文档记录。我们使用主题分析来分析访谈数据。
有社会需求的患者年龄较大、女性、非裔美国人、没有保险、居住在低收入和高失业率社区、住院次数更多、肥胖、患有糖尿病前期和 2 型糖尿病的比例高于没有 Z 代码的患者。EHR 中 Z 代码的使用频率较低(<1%的患者),并且与社会需求的普遍程度相关的定量和定性结果之间总体缺乏一致性。提供者在多个层面上都面临记录 SDOH 的障碍(例如,个人层面:不愿讨论社会需求;组织层面:时间有限,优先事项相互竞争),并确定了改善文档记录的策略。
提供者认识到 SDOH 对患者健康的影响,并对筛查和记录社会需求有积极的看法。需要实施战略来改善系统文档记录。