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      The Promise of Patient Portals for Individuals Living With Chronic Illness: Qualitative Study Identifying Pathways of Patient Engagement

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          Abstract

          Background

          Patients play a critical role in managing their health, especially in the context of chronic conditions like diabetes. Electronic patient portals have been identified as a potential means to improve patient engagement; that is, patients’ involvement in their care. However, little is known about the pathways through which portals may help patients engage in their care.

          Objective

          Our objective is to understand how an electronic patient portal facilitates patient engagement among individuals with diabetes.

          Methods

          This qualitative study employed semistructured telephone interviews of 40 patients living with diabetes since at least 2011, who had experienced uncontrolled diabetes, and had used secure messaging through a portal at least 4 times over 18 months. The interviews were recorded, transcribed, coded, and analyzed using primarily an inductive approach to identify how patients living with diabetes use an online health portal to support diabetes self-management.

          Results

          Overall, patients who used the portal reported feeling engaged in their health care. We identified four pathways by which the portal facilitates patient engagement and some challenges. The portal provides a platform that patients use to (1) better understand their health by asking questions about new symptoms, notes, or labs, (2) prepare for medical appointments by reviewing labs and notes, (3) coordinate care between VA (Veterans Affairs) and non-VA health care teams, and (4) reach out to providers to request help between visits. Several patients reported that the portal helped improve the patient-provider relationship; however, aspects of the portal design may hinder engagement for others. Patients reported challenges with both secure messaging and access to medical records that had negative impacts on their engagement. Benefits for patient engagement were described by many types of portal users with varying degrees of diabetes control.

          Conclusions

          Patient portals support engagement by facilitating patient access to their health information and by facilitating patient-provider communication. Portals can help a wide range of users engage with their care.

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          Most cited references17

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          Brief questions to identify patients with inadequate health literacy.

          No practical method for identifying patients with low heath literacy exists. We sought to develop screening questions for identifying patients with inadequate or marginal health literacy. Patients (n=332) at a VA preoperative clinic completed in-person interviews that included 16 health literacy screening questions on a 5-point Likert scale, followed by a validated health literacy measure, the Short Test of Functional Health Literacy in Adults (STOHFLA). Based on the STOFHLA, patients were classified as having either inadequate, marginal, or adequate health literacy. Each of the 16 screening questions was evaluated and compared to two comparison standards: (1) inadequate health literacy and (2) inadequate or marginal health literacy on the STOHFLA. Fifteen participants (4.5%) had inadequate health literacy and 25 (7.5%) had marginal health literacy on the STOHFLA. Three of the screening questions, "How often do you have someone help you read hospital materials?" "How confident are you filling out medical forms by yourself?" and "How often do you have problems learning about your medical condition because of difficulty understanding written information?" were effective in detecting inadequate health literacy (area under the receiver operating characteristic curve of 0.87, 0.80, and 0.76, respectively). These questions were weaker for identifying patients with marginal health literacy. Three questions were each effective screening tests for inadequate health literacy in this population.
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            Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies

            Background eHealth is developing rapidly and brings with it a promise to reduce social health inequalities (SHIs). Yet, it appears that it also has the potential to increase them. Objectives The general objective of this review was to set out how to ensure that eHealth contributes to reducing SHIs rather than exacerbating them. This review has three objectives: (1) identifying characteristics of people at risk of experiencing social inequality in health; (2) determining the possibilities of developing eHealth tools that avoid increasing SHI; and (3) modeling the process of using an eHealth tool by people vulnerable to SHI. Methods Following the EPPI approach (Evidence for Policy and Practice of Information of the Institute of Education at the University of London), two databases were searched for the terms SHIs and eHealth and their derivatives in titles and abstracts. Qualitative, quantitative, and mixed articles were included and evaluated. The software NVivo (QSR International) was employed to extract the data and allow for a metasynthesis of the data. Results Of the 73 articles retained, 10 were theoretical, 7 were from reviews, and 56 were based on empirical studies. Of the latter, 40 used a quantitative approach, 8 used a qualitative approach, 4 used mixed methods approach, and only 4 were based on participatory research-action approach. The digital divide in eHealth is a serious barrier and contributes greatly to SHI. Ethnicity and low income are the most commonly used characteristics to identify people at risk of SHI. The most promising actions for reducing SHI via eHealth are to aim for universal access to the tool of eHealth, become aware of users’ literacy level, create eHealth tools that respect the cultural attributes of future users, and encourage the participation of people at risk of SHI. Conclusions eHealth has the potential to widen the gulf between those at risk of SHI and the rest of the population. The widespread expansion of eHealth technologies calls for rigorous consideration of interventions, which are not likely to exacerbate SHI.
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              Community-based peer-led diabetes self-management: a randomized trial.

              The purpose of this study is to determine the effectiveness of a community-based diabetes self-management program comparing treatment participants to a randomized usual-care control group at 6 months. A total of 345 adults with type 2 diabetes but no criteria for high A1C were randomized to a usual-care control group or 6-week community-based, peer-led diabetes self-management program (DSMP). Randomized participants were compared at 6 months. The DSMP intervention participants were followed for an additional 6 months (12 months total). A1C and body mass index were measured at baseline, 6 months, and 12 months. All other data were collected by self-administered questionnaires. At 6 months, DSMP participants did not demonstrate improvements in A1C as compared with controls. Baseline A1C was much lower than in similar trials. Participants did have significant improvements in depression, symptoms of hypoglycemia, communication with physicians, healthy eating, and reading food labels (P < .01). They also had significant improvements in patient activation and self-efficacy. At 12 months, DSMP intervention participants continued to demonstrate improvements in depression, communication with physicians, healthy eating, patient activation, and self-efficacy (P < .01). There were no significant changes in utilization measures. These findings suggest that people with diabetes without elevated A1C can benefit from a community-based, peer-led diabetes program. Given the large number of people with diabetes and lack of low-cost diabetes education, the DSMP deserves consideration for implementation.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                July 2020
                17 July 2020
                : 22
                : 7
                : e17744
                Affiliations
                [1 ] Institute for Behavioral Health The Heller School for Social Policy and Management Brandeis University Waltham, MA United States
                [2 ] Center for Healthcare Organization and Implementation Research Edith Nourse Rogers Memorial Veterans Hospital Bedford, MA United States
                [3 ] Department of Population and Data Sciences University of Texas Southwestern Medical Center Dallas, TX United States
                [4 ] Department of Medicine Boston University School of Medicine Boston, MA United States
                [5 ] Center for Healthcare Organization and Implementation Research Boston VA Healthcare System Boston, MA United States
                [6 ] Department of Psychiatry Harvard Medical School Boston, MA United States
                [7 ] Department of Health Law, Policy, and Management Boston University School of Public Health Boston, MA United States
                [8 ] Independent Consultant Coxsackie, NY United States
                [9 ] Division of Biostatistics and Health Services Research Department of Population and Quantitative Health Sciences University of Massachusetts Medical School Worcester, MA United States
                [10 ] Division of Health Informatics and Implementation Science Department of Population and Quantitative Health Sciences University of Massachusetts Medical School Worcester, MA United States
                Author notes
                Corresponding Author: Stephanie L Shimada stephanie.shimada@ 123456va.gov
                Author information
                https://orcid.org/0000-0002-5470-0307
                https://orcid.org/0000-0002-6888-0927
                https://orcid.org/0000-0001-5465-7348
                https://orcid.org/0000-0002-1352-217X
                https://orcid.org/0000-0002-5994-2786
                https://orcid.org/0000-0002-8695-6833
                https://orcid.org/0000-0003-0738-672X
                https://orcid.org/0000-0002-1007-5626
                https://orcid.org/0000-0001-8834-1560
                https://orcid.org/0000-0002-0966-5602
                https://orcid.org/0000-0001-8422-4682
                https://orcid.org/0000-0002-6517-5122
                Article
                v22i7e17744
                10.2196/17744
                7395248
                32706679
                beb019ea-8c0b-4f61-ab20-ed4168c4ed40
                ©Maureen T Stewart, Timothy P Hogan, Jeff Nicklas, Stephanie A Robinson, Carolyn M Purington, Christopher J Miller, Varsha G Vimalananda, Samantha L Connolly, Hill L Wolfe, Kim M Nazi, Dane Netherton, Stephanie L Shimada. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 17.07.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 12 January 2020
                : 31 January 2020
                : 26 March 2020
                : 3 June 2020
                Categories
                Original Paper
                Original Paper

                Medicine
                patient engagement,patient portal,chronic disease,diabetes,secure messaging,veterans
                Medicine
                patient engagement, patient portal, chronic disease, diabetes, secure messaging, veterans

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