Evidence map›Paper›PMID 36449335›Full record

ArticleJMIR human factors2022

Examining Use Behavior of a Goal-Supporting mHealth App in Primary Care Among Patients With Multiple Chronic Conditions: Qualitative Descriptive Study.

Farah Tahsin, Tujuanna Austin, Brian McKinstry, Stewart W Mercer, Mayura Loganathan, Kednapa Thavorn, Ross Upshur, Carolyn Steele Gray

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02917954 (Full Evaluation, Scale and Spread), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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.

NCT02917954 nacompletednot on this map

Full Evaluation, Scale and Spread: Pragmatic Trial of the HSPRN-Bridgepoint Electronic Patient Reported Outcome (ePRO) Mobile Application to Support the Needs of Persons With Complex Chronic Disease and Disability

TypeinterventionalSponsorMount Sinai Hospital, CanadaRan2017 to 2019Enrolled45ConditionsChronic Disease, Quality of LifeArmsePRO Tool Intervention
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 4 institutions in 3 countries.

Farah Tahsin *Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-9077-7670
Tujuanna AustinInstitute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-9897-9864
Brian McKinstryCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-9581-0468
Stewart W MercerAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-1703-3664
Mayura LoganathanMount Sinai Academic Family Health Team, Mount Sinai Hospital, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-9754-4175
Kednapa ThavornClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0003-4738-8447
Ross UpshurInstitute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-1128-0557
Carolyn Steele GrayInstitute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-2146-0001
University of Toronto · CAUniversity of Edinburgh · GBMount Sinai Hospital · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough mobile health (mHealth) apps are increasingly being used to support patients with multiple chronic conditions (multimorbidity), most mHealth apps experience low interaction and eventual abandonment. To tackle this engagement issue, when developing an mHealth program, it is important to understand the social-behavioral factors that affect patients' use behavior.

objectiveThe aim of this study was to explore the social and behavioral factors contributing to patients' use behavior of an mHealth app called the electronic Patient-Reported Outcome (ePRO). The ePRO app supports goal-oriented care delivery in interdisciplinary primary care models.

methodsA descriptive qualitative study was used to analyze interview data collected for a larger mixed methods pragmatic trial. The original 15-month trial was conducted in 6 primary care teams across Ontario, Canada, between 2018 and 2019. The eligibility criteria for patients were being aged ≥60 years with ≥10 visits within the previous 12 months of study enrollment. For this analysis, patients were classified as long-term or short-term users based on their length of use of the ePRO app during the trial. The Social Cognitive Theory by Bandura was used to categorize social-behavioral factors that contributed to patients' decision to continue or discontinue using the app.

resultsThe patient-provider relationship emerged as a key factor that shaped patients' experiences with the app and subsequent decision to continue using the app. Other factors that contributed to patients' decision to continue using the app were personal and social circumstances, perceived usefulness, patients' previous experience with goal-related behaviors, and confidence in one's capability. There was an overlap of experience between long- and short-term app users but, in general, long-term users perceived the app to be more useful and their goals to be more meaningful than short-term app users. This observation was complicated by the fact that patient health-related goals were dynamic and changed over time.

conclusionsComplex patients' use behavior of a goal-supporting mHealth app is shaped by an array of sociobehavioral factors that can evolve. To tackle this dynamism, there should be an emphasis on creating adaptable health technologies that are easily customizable by patients and able to respond to their changing contexts and needs.

trial registrationClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954.

Indexed as

appbehaviorchronic disease managementgoal-oriented carehealth technologyhuman factorsmHealthmobile healthmobile phonemultimorbidmultimorbidityprimary caresociobehavioraltelemedicineusabilityuse

Identifiers

PMID36449335
PMCPMC9752464
OpenAlexW4310566865

What OpenQuestion holds

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LicenceCC BY
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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.