Evidence map›Paper›PMID 28243807›Full record

ReviewCurrent atherosclerosis reports2017

Using Mobile Health (mHealth) Technology in the Management of Diabetes Mellitus, Physical Inactivity, and Smoking.

Hasan Rehman, Ayeesha K Kamal, Saleem Sayani, Pamela B Morris, Anwar T Merchant, Salim S Virani

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04572022 (Impact of Mobile Health Technology Application on Proximal Humerus Fracture Care Practice and Patient Self-Care Outcomes - A Pilot Randomized Controlled Trial), which is not on this map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
13.3field-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.

NCT04572022 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Impact of Mobile Health Technology Application on Proximal Humerus Fracture Care Practice and Patient Self-Care Outcomes - A Pilot Randomized Controlled Trial

TypeinterventionalSponsorAga Khan University Hospital, PakistanRan2026 to 2027Enrolled60ConditionsProximal Humerus Fracture, TraumaArmsStep wise post-procedure mobile health shared rehabilitation teaching video instructions modules (as per fracture type)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  9. Telemedicine in Neurological Disorders: Opportunities and Challenges.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2019
    Review
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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

6 authors at 6 institutions in 2 countries.

Hasan RehmanHouston Methodist Hospital, Houston, TX, USA.
Ayeesha K KamalThe Aga Khan University Medical College, Karachi, Pakistan.
Saleem SayaniAga Khan Development Network eHealth Resource Centre for Asia and Africa, Karachi, Pakistan.
Pamela B MorrisMedical University of South Carolina, Charleston, SC, USA.
Anwar T MerchantDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina and WJB Dorn VA Medical Center, Columbia, SC, USA.
Salim S ViraniSection of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA. virani@bcm.edu.
Aga Khan Development Network · PKAga Khan University · PKMedical University of South Carolina · USMethodist Hospital · USMichael E. DeBakey VA Medical Center · USWm. Jennings Bryan Dorn VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCardiovascular mortality remains high due to insufficient progress made in managing cardiovascular risk factors such as diabetes mellitus, physical inactivity, and smoking. Healthy lifestyle choices play an important role in the management of these modifiable risk factors. Mobile health or mHealth is defined as the use of mobile computing and communication technologies (i.e., mobile phones, wearable sensors) for the delivery of health services and health-related information. In this review, we examine some recent studies that utilized mHealth tools to improve management of these risk factors, with examples from developing countries where available. RECENT

findingsThe mHealth intervention used depends on the availability of resources. While developing countries are often restricted to text messages, more resourceful settings are shifting towards mobile phone applications and wearable technology. Diabetes mellitus has been extensively studied in different settings, and results have been encouraging. Tools utilized to increase physical activity are expensive, and studies have been limited to resource-abundant areas and have shown mixed results. Smoking cessation has had promising initial results with the use of technology, but mHealth's ability to recruit participants beyond those actively seeking to quit has not been established. mHealth interventions appear to be a potential tool in improving control of cardiovascular risk factors that rely on individuals making healthy lifestyle choices. Data related to clinical impact, if any, of commercially available tools is lacking. More studies are needed to assess interventions that target multiple cardiovascular risk factors and their impact on hard cardiovascular outcomes.

Indexed as

Diabetes MellitusSmokingTelemedicineExerciseHumansSmoking CessationCardiovascular diseasesDiabetes mellitusmHealthMobile healthPhysical inactivitySmoking cessation

Identifiers

PMID28243807
OpenAlexW2594563321

What OpenQuestion holds

Textmetadata
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.