Literature DB >> 32479179

Recommendations for the Conduct and Reporting of Research Involving Flexible Electronic Health Record-Based Interventions.

Adam Wright1, Allison B McCoy1, Niteesh K Choudhry2.   

Abstract

In the past 2 decades, the United States has seen widespread adoption of electronic health records (EHRs) and a transition from mostly locally developed EHRs to commercial systems. However, most research on quality improvement and safety interventions in EHRs is still conducted at a single site, in a single EHR. Although single-site studies are important early in the innovation lifecycle, multisite studies of EHR interventions are critical for generalizability. Because EHR software, configuration, and local context differ considerably across health care organizations, it can be difficult to implement a single, standardized intervention across multiple sites in a study. This article outlines key strengths, weaknesses, challenges, and opportunities for standardization of EHR interventions in multisite studies and describes flexible trial designs suitable for studying complex interventions, including EHR interventions. It also outlines key considerations for reporting on flexible trials of EHR interventions, including sharing details of the process for designing interventions and their content, details of outcomes being studied and approaches for pooling, and the importance of sharing code and configuration whenever possible.

Year:  2020        PMID: 32479179     DOI: 10.7326/M19-0880

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  3 in total

1.  Conceptualizing clinical decision support as complex interventions: a meta-analysis of comparative effectiveness trials.

Authors:  Thomas J Reese; Siru Liu; Bryan Steitz; Allison McCoy; Elise Russo; Brian Koh; Jessica Ancker; Adam Wright
Journal:  J Am Med Inform Assoc       Date:  2022-09-12       Impact factor: 7.942

2.  Nudging within learning health systems: next generation decision support to improve cardiovascular care.

Authors:  Yang Chen; Steve Harris; Yvonne Rogers; Tariq Ahmad; Folkert W Asselbergs
Journal:  Eur Heart J       Date:  2022-03-31       Impact factor: 29.983

3.  Clinician Versus Nomogram Predicted Estimates of Kidney Stone Recurrence Risk.

Authors:  Connor M Forbes; Allison B McCoy; Ryan S Hsi
Journal:  J Endourol       Date:  2020-11-16       Impact factor: 2.619

  3 in total

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