Hospital Adoption of Diversity, Equity, and Inclusion (DEI) Disaggregated Data for Organizational Decision Making.

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Tran T Doan, Bradley E Iott
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引用次数: 0

Abstract

IntroductionHospitals are interested in improving the quality of data disaggregation and collection to advance diversity, equity, and inclusion (DEI) goals. We evaluated the extent to which hospitals are adopting DEI disaggregated data to inform organizational decisions and the characteristics associated with this adoption.MethodsWe analyzed data from the 2022 American Hospital Association Annual Survey, which included the final iteration of a new survey item about hospital DEI disaggregated data adoption for decision making. Descriptive statistics, logistic regression, and negative binomial regression were used to evaluate this survey item.ResultsAmong hospitals adopting DEI disaggregated data (n = 2,596, 41.9%), two-thirds used these data to inform decisions about patient outcomes, half about training or professional development, and one-third about supply chain or procurement. Larger, tax-exempt, Veteran Affairs, or metropolitan hospitals are significantly more likely to adopt DEI disaggregated data for decision making.LimitationsOur work is limited by the reporting of 1-y cross-sectional results.ConclusionsMost hospitals adopt DEI disaggregated data to inform decisions about patient outcomes. Future research should explore whether hospital decisions or disaggregated data adoption have advanced DEI and health equity for underserved communities.ImplicationsAnalysis of disaggregated data adoption could reveal how hospitals make decisions and funding allocations to advance DEI goals and health equity.HighlightsThere is a limited understanding of the extent to which hospitals adopt diversity, equity, and inclusion (DEI) disaggregated data to inform organizational decision making, highlighting a knowledge gap at the intersection of data equity and health care management.Among hospitals that adopt DEI disaggregated data, two-thirds use them to inform organizational decisions about patient outcomes, and half about professional development.Larger, tax-exempt, Veteran Affairs, or metropolitan hospitals are more likely to adopt DEI disaggregated data for organizational decision making.Future research is needed to explore whether hospital adoption of DEI disaggregated data has advanced DEI organizational goals and health equity for underserved populations.

医院采用多样性、公平和包容(DEI)分类数据进行组织决策。
医院有兴趣提高数据分类和收集的质量,以推进多样性、公平性和包容性(DEI)目标。我们评估了医院采用DEI分类数据为组织决策提供信息的程度以及与此采用相关的特征。方法分析2022年美国医院协会年度调查数据,其中包括关于医院DEI分类数据采用决策的新调查项目的最后迭代。本调查项目采用描述性统计、逻辑回归及负二项回归进行评估。结果在采用DEI分类数据的医院中(n = 2596, 41.9%),三分之二的医院将这些数据用于患者预后决策,一半用于培训或专业发展决策,三分之一用于供应链或采购决策。大型、免税、退伍军人事务部或大都市医院更有可能采用DEI分类数据进行决策。局限性我们的工作受到1-y横断面结果报告的限制。结论大多数医院采用DEI分类数据作为患者预后决策的依据。未来的研究应该探索医院决策或分类数据的采用是否促进了DEI和服务不足社区的健康公平。对分类数据采用的分析可以揭示医院如何做出决策和资金分配,以推进DEI目标和卫生公平。人们对医院采用多样性、公平性和包容性(DEI)分类数据为组织决策提供信息的程度了解有限,这突出了数据公平性和卫生保健管理交叉领域的知识差距。在采用DEI分类数据的医院中,三分之二的医院使用这些数据来为有关患者预后的组织决策提供信息,一半的医院使用这些数据来为专业发展决策提供信息。大型、免税、退伍军人事务部或大都市医院更有可能采用DEI分类数据进行组织决策。未来的研究需要探讨医院采用DEI分类数据是否促进了DEI组织目标和服务不足人群的健康公平。
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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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