Evidence map›Paper›PMID 26795082›Full record

ArticleJMIR medical informatics2016

The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature.

Suhila Sawesi, Mohamed Rashrash, Kanitha Phalakornkule, Janet S Carpenter, Josette F Jones

Registry-linked trialAbstract read
In one paragraph

Article in JMIR medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05780047 (Personalized Mobile Intervention to Reduce Exposure to Endocrine Disrupting Chemicals), which is not on this map. Cited by 106 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 8 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.

NCT05780047 nacompletednot on this mapstarted 2022, after this paper: background citation

Personalized Mobile Intervention to Reduce Exposure to Endocrine Disrupting Chemicals (EDCs) in Women of Child-Bearing Age and Their Partners

TypeinterventionalSponsorMillion Marker Wellness, Inc.Ran2022 to 2022Enrolled434ConditionsEndocrine Disrupting Chemicals, Environmental Exposure, Health Literacy, Bisphenol AArmsMail-in Urine Test for EDCs
3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  4. Can electronic assessment tools improve the process of shared decision-making? A systematic review.Health information management : journal of the Health Information Management Association of Australia · 2023
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  11. Efficacy of the PRO-CTCAE mobile application for improving patient participation in symptom management during cancer treatment: a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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46 more citing papers are in PubMed but not listed here.

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

5 authors.

Suhila SawesiSchool of Informatics and Computing - Indianapolis, Department of BioHealth Informatics, IUPUI, Indianapolis, IN, United States. ssawesi@umail.iu.edu.ORCID http://orcid.org/0000-0002-3510-8543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change.

objectiveOur aim was to systematically review the (1) impact of IT platforms used to promote patients' engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes.

methodsPubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria.

resultsA total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170).

conclusionsIn general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes.

Indexed as

cell phoneInternetpatient behaviorpatient engagementsocial mediatechnologyweb-based

Identifiers

PMID26795082
PMCPMC4742621

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.