Evidence map›Paper›PMID 36469397›Full record

ArticleJMIR mHealth and uHealth2022

Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation.

Melanie J Cozad, Marissa Crum, Hannah Tyson, Perry R Fleming, Jeanine Stratton, Ann Blair Kennedy, Lisa C Lindley, Ronnie D Horner

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Melanie J CozadHealth Services Research and Administration Department, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0001-6023-6910
Marissa CrumSchool of Medicine Greenville, University of South Carolina, Greenville, SC, United States.ORCID 0000-0002-4231-3553
Hannah TysonBusiness and Accounting Department, Furman University, Greenville, SC, United States.ORCID 0000-0001-8148-9183
Perry R FlemingSchool of Medicine Greenville, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-0452-7411
Jeanine StrattonBusiness and Accounting Department, Furman University, Greenville, SC, United States.ORCID 0000-0002-4555-5224
Ann Blair KennedySchool of Medicine Greenville, University of South Carolina, Greenville, SC, United States.ORCID 0000-0002-3518-6314
Lisa C LindleyCollege of Nursing, University of Tennessee-Knoxville, Knoxville, TN, United States.ORCID 0000-0003-2960-7896
Ronnie D HornerHealth Services Research and Administration Department, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0002-9967-216X
University of South Carolina · USFurman University · USUniversity of Nebraska Medical Center · USKnoxville College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is a highly dynamic and individualized disease in terms of its patterns of symptomatic flare-ups and periods of remission. Patient-centered care (PCC) aligns patients' lifestyle goals with their preferences for managing symptoms and side effects through the selection of therapies appropriate for disease management. Mobile health (mHealth) apps have the potential to engage and activate patients in PCC. mHealth apps can provide features that increase disease knowledge, collect patient-generated health indicators and behavioral metrics, and highlight goals for disease management. However, little evidence-based guidance exists as to which apps contain functionality essential for supporting the delivery of PCC.

objectiveThe objective of this study was to evaluate the patient-centeredness of United States-based rheumatoid arthritis mobile apps in terms of patient engagement and activation.

methodsA search of mobile apps on 2 major United States app stores (Apple App Store and Google Play) was conducted from June 2020 to July 2021 to identify apps designed for use by patients with RA by adapting the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines for mobile health app screening based on the literature. Reviewers conducted a content analysis of mobile app features to evaluate their functionality for patient engagement and activation. Engagement and activation were assessed using the Mobile Application Rating Scale (MARS) and social cognitive theory, respectively. Apps were ranked by their ability to facilitate PCC care along 2 dimensions: engagement and activation.

resultsA total of 202 mobile apps were initially identified, and 20 remained after screening. Two apps emerged with the greatest ability to facilitate PCC. Both apps were scored as having acceptable or good patient engagement according to the MARS. These 2 apps also had high patient activation according to social cognitive theory, with many features within those apps representing theoretical constructs such as knowledge, perceived self-efficacy, and expectations about outcomes that support behavioral management of RA.

conclusionsWe found very few mobile apps available within the United States that have functionality that both engages and activates the patient to facilitate PCC. As the prevalence of mobile apps expands, the design of mobile apps needs to integrate patients to ensure that their functionality promotes engagement and activation. More research is needed to understand how mobile app use impacts patient engagement and activation, and ultimately, treatment decisions and disease trajectory.

Indexed as

Arthritis, RheumatoidMobile ApplicationsTelemedicineHumansPatient-Centered CareUnited Statesapp featurearthritiscontent analysisfunctionalitymHealthmobile appMobile Application Rating Scalemobile applicationsmobile healthpatient activationpatient-centered carepatient centredpatient engagementpatient ratingperson centeredreviewrheumatismrheumatoid arthritissocial cognitive theorysystematic searchuser rating

Identifiers

PMID36469397
PMCPMC9764152
OpenAlexW4310779131

What OpenQuestion holds

Textmetadata
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.