Evidence map›Paper›PMID 36404873›Full record

ReviewCurrent epidemiology reports2022

Uses of mHealth in Injury Prevention and Control: a Critical Review.

Megan L Ranney, E G Stettenbauer, M Kit Delgado, Katherine A Yao, Lindsay M Orchowski

Open access · bronzeAbstract readReview
In one paragraph

Review in Current epidemiology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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.

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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Exploring digital health: a qualitative study on adults' experiences with health apps and wearables.International journal of qualitative studies on health and well-being · 2025
    Article
  3. Article
  4. 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

5 authors at 4 institutions in 1 country.

Megan L RanneyDepartment of Emergency Medicine, Alpert Medical School Brown University, Providence, USA.ORCID 0000-0002-8450-9642
E G StettenbauerDepartment of Health Services, Policy and Practice, School of Public Health, Brown University, Providence, USA.
M Kit DelgadoDepartment of Emergency Medicine and Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, USA.
Katherine A YaoYale College, New Haven, USA.
Lindsay M OrchowskiBrown-Lifespan Center for Digital Health, Providence, USA.
Brown University · USProvidence College · USUniversity of Pennsylvania · USYale University · US

Funding

The development of a family navigator intervention and prevention protocol to reduce risk of suicide and self-injurious behavior for youth aged 10 to 14 years.P20GM139664 · NIGMS · RHODE ISLAND HOSPITAL · PI Michael J Mello · 2022 to 2026
$13.3M
NIGMS NIH HHS P20 GM139664
6 · The paper itself

Abstract

Purpose of Reviews: The purpose of this review was to summarize the current state of the literature on the use of "mHealth" (the use of mobile devices for health promotion) for injury prevention and control. Recent Findings: mHealth is being used to measure, predict, and prevent the full spectrum of injuries. However, most literature remains preliminary or in a pilot stage. Use of best-of-class design principles (e.g., user-centered design, theory-based development) is uncommon, and wide-scale dissemination of effective monitoring or intervention tools is rare. Summary: mHealth for injury prevention holds promise, but further work is needed across the full spectrum of development and translation.

Indexed as

Digital healthEpidemiologyInjury preventionmHealthMobile appSocial mediaText message

Identifiers

PMID36404873
PMCPMC9644389
OpenAlexW4308746908

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.