Evidence map›Paper›PMID 31596241›Full record

ArticleJournal of medical Internet research2019

Using Patient and Family Engagement Strategies to Improve Outcomes of Health Information Technology Initiatives: Scoping Review.

Kevin Leung, Drew Lu-McLean, Craig Kuziemsky, Richard G Booth, Sarah Collins Rossetti, Elizabeth Borycki, Gillian Strudwick

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Psychometric Properties of the TWente Engagement with Ehealth Technologies Scale (TWEETS) Among Patients with Hypertension in Italy.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kevin LeungCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-1363-0856
Drew Lu-McLeanMcMaster University, Hamilton, ON, Canada.ORCID 0000-0003-3664-7386
Craig KuziemskyUniversity of Ottawa, Ottawa, ON, Canada.ORCID 0000-0003-3904-5372
Richard G BoothWestern University, London, ON, Canada.ORCID 0000-0002-0300-9954
Sarah Collins RossettiColumbia University, New York, NY, United States.ORCID 0000-0003-2632-8867
Elizabeth BoryckiUniversity of Victoria, Victoria, BC, Canada.ORCID 0000-0003-0928-8867
Gillian StrudwickCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-1080-7372

Funding

CIHR
6 · The paper itself

Abstract

backgroundMany health care organizations around the world have implemented health information technologies (ITs) to enhance health service efficiency, effectiveness, and safety. Studies have demonstrated that promising outcomes of health IT initiatives can be obtained when patients and family members participate and engage in the adoption, use, and evaluation of these technologies. Despite knowing this, there is a lack of health care organizations using patient and family engagement strategies to enhance the use and adoption of health ITs, specifically.

objectiveThis study aimed to answer the following three research questions (RQs): (1) what current frameworks or theories have been used to guide patient and family engagement in health IT adoption, use, implementation, selection, and evaluation?, (2) what studies have been done on patient and family engagement strategies in health IT adoption, use, implementation, selection, and evaluation?, and (3) what patient and family engagement frameworks, studies, or resources identified in the literature can be applied to health IT adoption, use, implementation, selection, and evaluation?

methodsThis scoping review used a five-step framework developed by Arksey and O'Malley and adapted by Levac et al. These steps include the following: (1) identifying the RQ, (2) identifying relevant studies, (3) selecting studies, (4) charting relevant data, and (5) summarizing and reporting the result. Retrieved academic and grey literature records were evaluated using a literature review software based on inclusion and exclusion criteria by two independent reviewers. If consensus was not achieved, two reviewers would resolve conflicts by discussion. Research findings and strategies were extracted from the studies and summarized in data tables.

resultsA total of 35 academic articles and 23 gray literature documents met the inclusion criteria. In total, 20 of the 35 included studies have been published since 2017. Frameworks found include the patient engagement framework developed by Healthcare Information and Management Systems Society and the patient and family engagement framework proposed by Carman et al. Effective strategies include providing patients with clear expectations and responsibilities and providing reimbursement for time and travel. The gray literature sources outlined key considerations for planning and supporting engagement initiatives such as providing patients with professional development opportunities, and embedding patients in existing governance structures.

conclusionsSeveral studies have reported their findings regarding successful strategies to engage patients and family members in health IT initiatives and the positive impact that can emerge when patients and family members are engaged in such initiatives in an effective manner. Currently, no framework has consolidated all of the key strategies and considerations that were found in this review to guide health care organizations when engaging patients and family members in a health IT-specific project or initiative. Further research to evaluate and validate the existing strategies would be of value.

Indexed as

FamilyHumansMedical InformaticsPatient Participationhealth information technologyhealth servicesinformaticsmedical informaticspatient engagement

Identifiers

PMID31596241
PMCPMC6806121

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.