Evidence map›Paper›PMID 26596977›Full record

ArticleCirculation2015

Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management.

John D Piette, Justin List, Gurpreet K Rana, Whitney Townsend, Dana Striplin, Michele Heisler

2 registry-linked trialsOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 116 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 14 pooled it
45.1field-weighted citation impact, top 1% 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.

NCT03515083 nacompletednot on this mapstarted 2017, after this paper: background citation

Better Outcomes for Anticoagulation Treatment Through Observation of Atrial Rhythm (BOAT OAR)

TypeinterventionalSponsorSaint Luke's Health SystemRan2017 to 2022Enrolled100ConditionsNon-valvular Atrial FibrillationArmsAlive Cor Kardia mobile electrocardiogram monitor
NCT04841863 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Secondary Prevention of Dug-related Problems Through Patient Empowerment Through Digital Health

TypeinterventionalSponsorFundació Institut de Recerca de l'Hospital de la Santa Creu i Sant PauRan2021 to 2023Enrolled200ConditionsDrug-Related ProblemsArmsMyPlan digital health platform, Satndard care
3 · Its place in the literature

Who cites it

116 citing papers in PubMed, 14 syntheses or guidelines pooled it, 233 citations in OpenAlex.

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  18. Effect ofPrimary health care research & development · 2022
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56 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

6 authors at 2 institutions in 1 country.

John D PietteFrom Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI (J.D.P., M.H.); Robert Wood Johnson Clinical Scholars Program, University of Michigan, Ann Arbor, MI (J.L., M.H.): and Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI (G.K.R., W.T.). jpiette@umich.edu.
Justin ListFrom Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI (J.D.P., M.H.); Robert Wood Johnson Clinical Scholars Program, University of Michigan, Ann Arbor, MI (J.L., M.H.): and Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI (G.K.R., W.T.).
Gurpreet K RanaFrom Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI (J.D.P., M.H.); Robert Wood Johnson Clinical Scholars Program, University of Michigan, Ann Arbor, MI (J.L., M.H.): and Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI (G.K.R., W.T.).
Whitney TownsendFrom Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI (J.D.P., M.H.); Robert Wood Johnson Clinical Scholars Program, University of Michigan, Ann Arbor, MI (J.L., M.H.): and Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI (G.K.R., W.T.).
Dana StriplinFrom Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI (J.D.P., M.H.); Robert Wood Johnson Clinical Scholars Program, University of Michigan, Ann Arbor, MI (J.L., M.H.): and Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI (G.K.R., W.T.).
Michele HeislerFrom Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI (J.D.P., D.S., M.H.); Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI (J.D.P., M.H.); Robert Wood Johnson Clinical Scholars Program, University of Michigan, Ann Arbor, MI (J.L., M.H.): and Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI (G.K.R., W.T.).
Michigan Department of Health and Human Services · USUniversity of Michigan–Ann Arbor · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926NIDDK NIH HHS P30DK092926
6 · The paper itself

Abstract

We examined evidence on whether mobile health (mHealth) tools, including interactive voice response calls, short message service, or text messaging, and smartphones, can improve lifestyle behaviors and management related to cardiovascular diseases throughout the world. We conducted a state-of-the-art review and literature synthesis of peer-reviewed and gray literature published since 2004. The review prioritized randomized trials and studies focused on cardiovascular diseases and risk factors, but included other reports when they represented the best available evidence. The search emphasized reports on the potential benefits of mHealth interventions implemented in low- and middle-income countries. Interactive voice response and short message service interventions can improve cardiovascular preventive care in developed countries by addressing risk factors including weight, smoking, and physical activity. Interactive voice response and short message service-based interventions for cardiovascular disease management also have shown benefits with respect to hypertension management, hospital readmissions, and diabetic glycemic control. Multimodal interventions including Web-based communication with clinicians and mHealth-enabled clinical monitoring with feedback also have shown benefits. The evidence regarding the potential benefits of interventions using smartphones and social media is still developing. Studies of mHealth interventions have been conducted in >30 low- and middle-income countries, and evidence to date suggests that programs are feasible and may improve medication adherence and disease outcomes. Emerging evidence suggests that mHealth interventions may improve cardiovascular-related lifestyle behaviors and disease management. Next-generation mHealth programs developed worldwide should be based on evidence-based behavioral theories and incorporate advances in artificial intelligence for adapting systems automatically to patients' unique and changing needs.

Indexed as

Cell PhoneDisease ManagementRisk Reduction BehaviorAdultBiomedical TechnologyCardiovascular DiseasesDeveloping CountriesDiabetes ComplicationsHealth BehaviorHealth ExpendituresHealth PromotionHealth WorkforceHumansInternetPovertySelf Carecomputational biologydeveloping countriestelemedicine

Identifiers

PMID26596977
PMCPMC5234768
OpenAlexW2178753374

What OpenQuestion holds

Textmetadata
LicenceTDM
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.