Evidence map›Paper›PMID 31094324›Full record

ArticleJMIR diabetes2019

Enhanced Self-Efficacy and Behavioral Changes Among Patients With Diabetes: Cloud-Based Mobile Health Platform and Mobile App Service.

Dyna Yp Chao, Tom My Lin, Wen-Ya Ma

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04975568 (Effectiveness of Therapeutic Exercise Controlled Through App Adding Face-to-face Supervision Executed by Physical Therapist in the Subacute and Chronic Low Back Pain), which is not on this map. Cited by 33 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 7 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.

NCT04975568 nacompletednot on this mapstarted 2021, after this paper: background citation

Effectiveness of Therapeutic Exercise Controlled Through App Adding Face-to-face Supervision Executed by Physical Therapist in the Subacute and Chronic Low Back Pain

TypeinterventionalSponsorUniversidad Complutense de MadridRan2021 to 2022Enrolled90ConditionsLow Back PainArmsApp and face-to-face physical therapy, App physical therapy
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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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

3 authors.

Dyna Yp Chao *Healthcare Solution Center, Health Inventor of Taipei, Taipei City, Taiwan.ORCID http://orcid.org/0000-0002-4119-6914
Tom My Lin *Graduate Institute of Management, National Taiwan University of Science and Technology, Taipei City, Taiwan.ORCID http://orcid.org/0000-0001-9991-9794
Wen-Ya MaDepartment of Metabolism, Cardinal Tien Hospital, New Taipei City, Taiwan.ORCID http://orcid.org/0000-0003-3773-5716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of chronic disease is increasing rapidly. Health promotion models have shifted toward patient-centered care and self-efficacy. Devices and mobile app in the Internet of Things (IoT) have become critical self-management tools for collecting and analyzing personal data to improve individual health outcomes. However, the precise effects of Web-based interventions on self-efficacy and the related motivation factors behind individuals' behavioral changes have not been determined.

objectiveThe objective of this study was to gain insight into patients' self-efficacy with newly diagnosed diabetes (type 2 diabetes mellitus) and analyze the association of patient-centered health promotion behavior and to examine the implications of the results for IoT and mobile health mobile app features.

methodsThe study used data from the electronic health database (n=3128). An experimental design (n=121) and randomized controlled trials were employed to determine patient preferences in the health promotion program (n=62) and mobile self-management education (n=28). The transtheoretical model was used as a framework for observing self-management behavior for the improvement of individual health, and the theory of planned behavior was used to evaluate personal goals, execution, outcome, and personal preferences. A mobile app was used to determine individualized health promotion interventions and to apply these interventions to improve patients' self-management and self-efficacy.

resultsMobile questionnaires were administered for pre- and postintervention assessment through mobile app. A dynamic questionnaire allocation method was used to follow up and monitor patient behavioral changes in the subsequent 6 to 18 months. Participants at a high risk of problems related to blood pressure (systolic blood pressure ≥120 mm Hg) and body mass index (≥23 kg/m

conclusionsThe overall compliance rate was discovered to be higher after the mobile app-based health intervention. Various intervention strategies based on patient characteristics, health care-related word-of-mouth communication, and social media may be used to increase self-efficacy and improve clinical outcomes. Additional research should be conducted to determine the most influential factors and the most effective adherence management techniques.

Indexed as

health literacyinterventionpatient engagementself-managementtype 2 diabetes mellitusword-of-mouth

Identifiers

PMID31094324
PMCPMC6534048

What OpenQuestion holds

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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.