Evidence map›Paper›PMID 32130116›Full record

Trial reportJournal of medical Internet research2020

Dose-Response Effect of a Digital Health Intervention During Cardiac Rehabilitation: Subanalysis of Randomized Controlled Trial.

R Jay Widmer, Conor Senecal, Thomas G Allison, Francisco Lopez-Jimenez, Lilach O Lerman, Amir Lerman

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01883050 (Application for Self-Monitoring of Cardiovascular Risk), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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.

NCT01883050 nacompletednot on this map

Application for Self-Monitoring of Cardiovascular Risk

TypeinterventionalSponsorMayo ClinicRan2013 to 2015Enrolled80ConditionsCoronary DiseaseArmsSelf Monitoring Software Application
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. [Adherence to digital health interventions: definitions, methods, and open questions].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2021
    Review
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 at 2 institutions in 1 country.

R Jay WidmerDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-3063-5651
Conor SenecalDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-5000-6254
Thomas G AllisonDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-3822-888X
Francisco Lopez-JimenezDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-5788-9734
Lilach O LermanDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-3271-3887
Amir Lerman *Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-9446-5313
Mayo Clinic in Florida · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious data have validated the benefit of digital health interventions (DHIs) on weight loss in patients following acute coronary syndrome entering cardiac rehabilitation (CR).

objectiveThe primary purpose of this study was to test the hypothesis that increased DHI use, as measured by individual log-ins, is associated with improved weight loss. Secondary analyses evaluated the association between log-ins and activity within the platform and exercise, dietary, and medication adherence.

methodsWe obtained DHI data including active days, total log-ins, tasks completed, educational modules reviewed, medication adherence, and nonmonetary incentive points earned in patients undergoing standard CR following acute coronary syndrome. Linear regression followed by multivariable models were used to evaluate associations between DHI log-ins and weight loss or dietary adherence.

resultsParticipants (n=61) were 79% male (48/61) with mean age of 61.0 (SD 9.7) years. We found a significant positive association of total log-ins during CR with weight loss (r

conclusionsThese data extend our previous findings and demonstrate increased DHI log-ins portend improved weight loss in patients undergoing CR after acute coronary syndrome. DHI adherence can potentially be monitored and used as a tool to selectively encourage patients to adhere to secondary prevention lifestyle modifications.

trial registrationClinicalTrials.gov (NCT01883050); https://clinicaltrials.gov/ct2/show/NCT01883050.

Indexed as

Dose-Response Relationship, DrugAcute Coronary SyndromeCardiac RehabilitationFemaleHumansMaleMiddle AgedTelemedicinecardiovascular preventiondigital health interventionsonlinesecondary prevention

Identifiers

PMID32130116
PMCPMC7066512
OpenAlexW2941967218

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.