Evidence map›Paper›PMID 35147502›Full record

ArticleJMIR formative research2022

Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study.

Shreya Sharma, Katherine Gergen Barnett, John Jack Maypole, Rebecca Grochow Mishuris

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024
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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

4 authors.

Shreya SharmaBoston University School of Medicine, Boston, MA, United States.ORCID https://orcid.org/0000-0002-5793-8716
Katherine Gergen BarnettDepartment of Family Medicine, Boston Medical Center, Boston, MA, United States.ORCID https://orcid.org/0000-0002-7900-6231
John Jack MaypoleDepartment of Pediatrics, Boston Medical Center, Boston, CA, United States.ORCID https://orcid.org/0000-0002-4642-2095
Rebecca Grochow MishurisDepartment of Medicine, Boston Medical Center, Boston, MA, United States.ORCID https://orcid.org/0000-0002-4804-3128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of mobile technology or smartphones has grown exponentially in the United States, allowing more individuals than ever internet access. This access has been especially critical to households earning less than US $30,000, the majority of whom indicate that smartphones are their main source of internet access. The increasing ubiquity of smartphones and virtual care promises to offset some of the health disparities that cut through the United States. However, disparities cannot be addressed if the medical information offered though smartphones is not accessible or reliable.

objectiveThis study seeks to create a framework to review the strengths and weaknesses of mobile Health (mHealth) apps for diverse, low-income populations.

methodsFocusing on smoking cessation, diabetes management, and medication adherence as models of disease management, we describe the process for selecting, evaluating, and obtaining patient feedback on mHealth apps.

resultsThe top 2 scoring apps in each category were QuitNow! and Smoke Free-Quit Smoking Now for smoking cessation, Glucosio and MyNetDiary for diabetes management, and Medisafe and MyMeds for medication adherence.

conclusionsWe believe that this framework will prove useful for future mHealth app development, and clinicians and patient advisory groups in connecting culturally, educationally, and socioeconomically appropriate mHealth apps with low-income, diverse communities and thus work to bridge health disparities.

Indexed as

appschronic diseaseconditiondiabetesdiverseframeworklow-incomemedication adherencemHealthmobile healthmobile health applicationpersonalsafety net hospitalself-managementsmoking cessationusability test

Identifiers

PMID35147502
PMCPMC8881782

What OpenQuestion holds

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LicenceCC BY
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.