Evidence map›Paper›PMID 39150761›Full record

Trial reportJournal of medical Internet research2024

Short-Term Effects of an eHealth Care Experiential Learning Program Among Patients With Type 2 Diabetes: Randomized Controlled Trial.

Yu-Shan Cheng, Cheng-Pei Lin, Lu-Yen Anny Chen, Wei-Ren Hwang, Yi-Chun Lin, Yu-Chi Chen

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05180604 (Improving Patients With Chronic Disease to Engage in the eHealth Care Environment), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05180604 nacompletednot on this map

Improving Patients With Chronic Disease to Engage in the eHealth Care Environment: the Application and Evaluation of eHealth Literacy Concept

TypeinterventionalSponsorNational Yang Ming Chiao Tung UniversityRan2019 to 2021Enrolled92ConditionsType 2 Diabetes Mellitus, Chronic Kidney Diseases, Cardiovascular DiseasesArmsexperience learning programs of eHealth care
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Article
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

6 authors.

Yu-Shan ChengSchool of Nursing, The University of Texas at Austin, Austin, TX, United States.ORCID 0009-0004-7094-7707
Cheng-Pei LinInstitute of Community Health Care, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0001-5810-8776
Lu-Yen Anny ChenInstitute of Clinical Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0001-6223-3748
Wei-Ren HwangRong-Yang Clinic, Taipei, Taiwan.ORCID 0009-0009-1825-8177
Yi-Chun LinRong-Yang Clinic, Taipei, Taiwan.ORCID 0000-0003-4530-5898
Yu-Chi ChenInstitute of Clinical Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0003-4144-3265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes is a chronic disease with a significant medical burden. eHealth care integrates medicine and technology to enhance the outcomes of such patients; however, adequate eHealth literacy (eHL) is necessary for that to happen. Fostering eHL is crucial for patients with diabetes to engage with eHealth care and receive quality care and timely support. Experiential learning theory can enhance patients' eHL and skills to use eHealth care technology in their daily care.

objectiveThis study explored the effectiveness of an eHealth care experiential learning program in improving eHL, patient health engagement, and eHealth care use status among patients with type 2 diabetes in 3 months.

methodsIn this randomized controlled trial, patients under case management services from various clinics in Taiwan were randomly assigned to either the intervention group receiving the 6-session eHealth care experiential learning program or the control group receiving the usual care. Data were collected using structured questionnaires at 3 time points: pretest, postintervention, and 3 months after the intervention. Descriptive data were presented using frequency distribution, percentage, mean, and SD. The outcomes were analyzed using a generalized estimating equation method by intention-to-treat analysis.

resultsA total of 92 participants (46 in each group) were recruited in this study. Of these, 86 completed the course and follow-up evaluations with a mean age of 62.38 (SD 12.91) years. After completing the intervention, the intervention group had significantly higher posttest scores in eHL (β=19.94, SE 3.52; P<.001), patient health engagement (β=.28, SE 0.13; P=.04), and eHealth use (β=3.96, SE 0.42; P<.001) than the control group. Furthermore, the intervention group maintained these significant improvements in eHL (β=18.19, SE 3.82; P<.001) and eHealth use (β=3.87, SE 0.49; P<.001) after 3 months.

conclusionsParticipating in the eHealth care experiential learning program resulted in significant improvements in eHL, patient health engagement, and eHealth use among patients with type 2 diabetes. Our interventional program can inform future clinical practice and policies to strengthen self-management skills and facilitate the use of health technology in caring for patients with chronic diseases.

trial registrationClinicalTrials.gov NCT05180604; https://clinicaltrials.gov/ct2/show/NCT05180604.

Indexed as

Diabetes Mellitus, Type 2Problem-Based LearningTelemedicineAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTaiwandiabeteseHealtheHealth literacyexperiential learning theoryexperimental learning theorypatient engagementrandomized controlled trialtype 2 diabetes

Identifiers

PMID39150761
PMCPMC11364949

What OpenQuestion holds

Textmetadata
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.