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      Interventions to increase patient portal use in vulnerable populations: a systematic review

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          Abstract

          Background

          More than 100 studies document disparities in patient portal use among vulnerable populations. Developing and testing strategies to reduce disparities in use is essential to ensure portals benefit all populations.

          Objective

          To systematically review the impact of interventions designed to: (1) increase portal use or predictors of use in vulnerable patient populations, or (2) reduce disparities in use.

          Materials and Methods

          A librarian searched Ovid MEDLINE, EMBASE, CINAHL, and Cochrane Reviews for studies published before September 1, 2018. Two reviewers independently selected English-language research articles that evaluated any interventions designed to impact an eligible outcome. One reviewer extracted data and categorized interventions, then another assessed accuracy. Two reviewers independently assessed risk of bias.

          Results

          Out of 18 included studies, 15 (83%) assessed an intervention's impact on portal use, 7 (39%) on predictors of use, and 1 (6%) on disparities in use. Most interventions studied focused on the individual (13 out of 26, 50%), as opposed to facilitating conditions, such as the tool, task, environment, or organization (SEIPS model). Twelve studies (67%) reported a statistically significant increase in portal use or predictors of use, or reduced disparities. Five studies (28%) had high or unclear risk of bias.

          Conclusion

          Individually focused interventions have the most evidence for increasing portal use in vulnerable populations. Interventions affecting other system elements (tool, task, environment, organization) have not been sufficiently studied to draw conclusions. Given the well-established evidence for disparities in use and the limited research on effective interventions, research should move beyond identifying disparities to systematically addressing them at multiple levels.

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          Author and article information

          Journal
          Journal of the American Medical Informatics Association
          Oxford University Press (OUP)
          1527-974X
          August 2019
          August 01 2019
          April 08 2019
          August 2019
          August 01 2019
          April 08 2019
          : 26
          : 8-9
          : 855-870
          Affiliations
          [1 ]Department of Biomedical Informatics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
          [2 ]Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, New York, USA
          [3 ]Samuel J Wood Library, Information Technologies and Services, Weill Cornell Medicine, New York, New York, USA
          [4 ]Value Institute, NewYork-Presbyterian Hospital, New York, New York, USA
          Article
          10.1093/jamia/ocz023
          6696508
          30958532
          1b7938eb-7056-4cbb-a00b-e5fe99d2f673
          © 2019

          https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

          History

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