Data-Driven Interventions to Improve Hypertension Management in Primary Care Focusing on Priority Populations

نویسندگان

چکیده

Context: Health delivery systems are facing increasing calls to develop new ways address cardiovascular health outcomes, especially in priority populations. Priority populations those most affected by hypertension (HTN). African Americans, particular, have the highest prevalence of HTN morbidity and mortality.1 Researchers proposed data-integrated interventions as a potentially more effective approach for managing HTN.2 However, existent research does not adequately role data management, particularly primary care Additionally, has yet document different approaches being implemented improve management HTN, focusing on Objective: The purpose this study is determine how data-driven populations? Specifically, 1) What kinds exist? 2) How driving these approaches? Study Design/Analysis: Systematic Review Setting: Primary Family medicine Population Studied: Populations Intervention: Data-driven Interventions Outcome Measures: Results: We retrieved 521 articles included 26 articles. majority studies coaching intervention (n=8). Other disease program, best practice alert, clinical decision support, medication chronic model, home BP monitoring, case targeted finding, community workers, dashboard intervention. Concerning utilization, EHR served three main functions. These were identification, intervention, monitoring. Studies used either identify eligible patients, connect multiple components interventions, or monitor changes target outcomes. Conclusion: This review sheds light current Findings from highlight widespread adoption data-centered HTN. suggest following next steps future research: Examine whether differences exist terms quality effectiveness between sources Further explore practices care.

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ژورنال

عنوان ژورنال: Hypertension

سال: 2023

ISSN: ['1524-4563', '0194-911X']

DOI: https://doi.org/10.1370/afm.21.s1.3720