Evidence map›Paper›PMID 38757455›Full record

ArticleJournal of the American Heart Association2024

Comprehensive Cardiovascular Risk Factor Control With a Mobile Health Cardiovascular Risk Self-Management Program.

Edo Paz, Vedant S Pargaonkar, Brian J Roach, Morgan Meadows, Jennifer M Roberts, Tomer Gazit, Amanda L Zaleski, Kelly Jean Thomas Craig, Steven J Serra, Pat Dunn and 1 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Edo PazHello Heart, Inc Menlo Park CA USA.ORCID 0009-0007-4501-0746
Vedant S PargaonkarHello Heart, Inc Menlo Park CA USA.ORCID 0000-0002-6765-6560
Brian J RoachHello Heart, Inc Menlo Park CA USA.ORCID 0000-0002-3264-1465
Morgan MeadowsHello Heart, Inc Menlo Park CA USA.
Jennifer M RobertsHello Heart, Inc Menlo Park CA USA.
Tomer GazitHello Heart, Inc Menlo Park CA USA.
Amanda L ZaleskiClinical Evidence Development, Aetna Medical Affairs, CVS Health® Hartford CT USA.ORCID 0000-0002-0362-819X
Kelly Jean Thomas CraigClinical Evidence Development, Aetna Medical Affairs, CVS Health® Hartford CT USA.ORCID 0000-0002-9954-2795
Steven J SerraAetna Commercial, Clinical Business Support CVS Health Philadelphia PA USA.ORCID 0009-0006-2037-2225
Pat DunnAmerican Heart Association Dallas TX USA.ORCID 0000-0002-3997-8335
Erin D MichosDivision of Cardiology Johns Hopkins University School of Medicine Baltimore MD USA.ORCID 0000-0002-5547-5084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health technology's impact on cardiovascular risk factor control is not fully understood. This study evaluates the association between interaction with a mobile health application and change in cardiovascular risk factors. METHODS AND

resultsParticipants with hypertension with or without dyslipidemia enrolled in a workplace-deployed mobile health application-based cardiovascular risk self-management program between January 2018 and December 2022. Retrospective evaluation explored the influence of application engagement on change in blood pressure (BP), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and weight. Multiple regression analyses examined the influence of guideline-based, nonpharmacological lifestyle-based digital coaching on outcomes adjusting for confounders. Of 102 475 participants, 49.1% were women. Median age was 53 (interquartile range, 43-61) years, BP was 134 (interquartile range, 124-144)/84 (interquartile range, 78-91) mm Hg, TC was 183 (interquartile range, 155-212) mg/dL, LDL-C was 106 (82-131) mg/dL, and body mass index was 30 (26-35) kg/m

conclusionsA mobile health application-based cardiovascular risk self-management program was associated with favorable reductions in BP, TC, LDL-C, and weight, highlighting the potential use of this technology in comprehensive cardiovascular risk factor control.

Indexed as

Cardiovascular DiseasesHeart Disease Risk FactorsSelf-ManagementTelemedicineAdultBlood PressureCholesterol, LDLDyslipidemiasFemaleHumansHypertensionMaleMiddle AgedMobile ApplicationsRetrospective StudiesRisk Reduction BehaviorCholesterol, LDLartificial intelligenceblood pressurecardiovascular diseasescholesterolheart disease risk factorsmobile healthweight loss

Identifiers

PMID38757455
PMCPMC11179803

What OpenQuestion holds

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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.