Bui Linh N, Marshall Cassondra, Miller-Rosales Chris, Rodriguez Hector P
Center for Healthcare Organizational and Innovation Research (Drs Bui, Rodriguez, and Miller-Rosales) and Maternal, Child, and Adolescent Health Program (Dr Marshall), School of Public Health, University of California, Berkeley.
Qual Manag Health Care. 2022;31(2):59-67. doi: 10.1097/QMH.0000000000000328.
Electronic health record (EHR)-based clinical decision support tools can improve the use of evidence-based clinical guidelines for preeclampsia management that can reduce maternal mortality and morbidity. No study has investigated the organizational capabilities that enable hospitals to use EHR-based decision support tools to manage preeclampsia.
To examine the association of organizational capabilities and hospital adoption of EHR-based decision support tools for preeclampsia management.
Cross-sectional analyses of hospitals providing obstetric care in 2017. In total, 739 hospitals responded to the 2017-2018 National Survey of Healthcare Organizations and Systems (NSHOS) and were linked to the 2017 American Hospital Association (AHA) Annual Survey Database and the Area Health Resources File (AHRF). A total of 425 hospitals providing obstetric care across 49 states were included in the analysis. The main outcome was whether a hospital adopted EHR-based clinical decision support tools for preeclampsia management. Hospital organizational capabilities assessed as predictors include EHR functions, adoption of evidence-based clinical treatments, use of quality improvement methods, and dissemination processes to share best patient care practices. Logistic regression estimated the association of hospital organizational capabilities and hospital adoption of EHR-based decision support tools to manage preeclampsia, controlling for hospital structural and patient sociodemographic characteristics.
Two-thirds of the hospitals (68%) adopted EHR-based decision support tools for preeclampsia, and slightly more than half (56%) of hospitals had a single EHR system. Multivariable regression results indicate that hospitals with a single EHR system were more likely to adopt EHR-based decision support tools for preeclampsia (17.4 percentage points; 95% CI, 1.9 to 33.0; P < .05) than hospitals with a mixture of EHR and paper-based systems. Compared with hospitals having multiple EHRs, on average, hospitals having a single EHR were also more likely to adopt the tools by 9.3 percentage points, but the difference was not statistically significant (95% CI, -1.3 to 19.9). Hospitals with more processes to aid dissemination of best patient care practices were also more likely to adopt EHR-based decision-support tools for preeclampsia (0.4 percentage points; 95% CI, 0.1 to 0.6, for every 1-unit increase in dissemination processes; P < .01).
Standardized EHRs and policies to disseminate evidence are foundational hospital capabilities that can help advance the use of EHR-based decision support tools for preeclampsia management in the approximately one-third of US hospitals that still do not use them.
基于电子健康记录(EHR)的临床决策支持工具可以促进基于证据的子痫前期管理临床指南的应用,从而降低孕产妇死亡率和发病率。尚无研究调查促使医院使用基于EHR的决策支持工具来管理子痫前期的组织能力。
探讨组织能力与医院采用基于EHR的子痫前期管理决策支持工具之间的关联。
对2017年提供产科护理的医院进行横断面分析。共有739家医院回应了2017 - 2018年全国医疗保健组织和系统调查(NSHOS),并与2017年美国医院协会(AHA)年度调查数据库以及区域卫生资源文件(AHRF)相关联。分析纳入了49个州的425家提供产科护理的医院。主要结果是医院是否采用基于EHR的子痫前期管理临床决策支持工具。评估为预测因素的医院组织能力包括EHR功能、基于证据的临床治疗方法的采用、质量改进方法的使用以及分享最佳患者护理实践的传播过程。逻辑回归估计医院组织能力与医院采用基于EHR的决策支持工具来管理子痫前期之间的关联,并控制医院结构和患者社会人口统计学特征。
三分之二的医院(68%)采用了基于EHR的子痫前期决策支持工具,略超过一半(56%)的医院拥有单一的EHR系统。多变量回归结果表明,与拥有EHR和纸质系统混合使用的医院相比,拥有单一EHR系统的医院更有可能采用基于EHR的子痫前期决策支持工具(高17.4个百分点;95%CI,1.9至33.0;P < 0.05)。与拥有多个EHR的医院相比,平均而言,拥有单一EHR的医院采用这些工具的可能性也高9.3个百分点,但差异无统计学意义(95%CI, - 1.3至19.9)。拥有更多有助于传播最佳患者护理实践流程的医院也更有可能采用基于EHR的子痫前期决策支持工具(传播流程每增加1个单位,高0.4个百分点;95%CI,0.1至0.6;P < 0.01)。
标准化的EHR和传播证据的政策是医院的基础能力,有助于在美国仍未使用这些工具的约三分之一医院中,推动基于EHR的子痫前期管理决策支持工具的应用。