Hospital Adoption of Electronic Decision Support Tools for Preeclampsia Management.

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From: Quality Management in Health Care(Vol. 31, Issue 2)
Publisher: Lippincott Williams & Wilkins, WK Health
Document Type: Article
Length: 426 words

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Byline: Linh N. Bui, 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.; Cassondra Marshall; Chris Miller-Rosales; Hector P. Rodriguez Abstract BACKGROUND: 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. OBJECTIVE: To examine the association of organizational capabilities and hospital adoption of EHR-based decision support tools for preeclampsia management. METHODS: 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. RESULTS: 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 CONCLUSION: 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.

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Gale Document Number: GALE|A698235914