Evidence map›Paper›PMID 32830106›Full record

ArticleBMJ health & care informatics2020

Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity.

Sophie E Claudel, Joniqua N Ceasar, Marcus R Andrews, Sherine El-Toukhy, Nicole Farmer, Kimberly R Middleton, Melanie Sabado-Liwag, Valerie M Mitchell, Kosuke Tamura, Alyssa T Brooks and 2 more

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  5. 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

12 authors.

Sophie E ClaudelCardiovascular Branch, NHLBI, Bethesda, Maryland, USA.
Joniqua N CeasarCardiovascular Branch, NHLBI, Bethesda, Maryland, USA.
Marcus R AndrewsCardiovascular Branch, NHLBI, Bethesda, Maryland, USA.
Sherine El-ToukhyIntramural Research Program, National Institute on Minority Health and Health Disparities, Rockville, Maryland, USA.ORCID http://orcid.org/0000-0002-0329-5823
Nicole FarmerNIH Clinical Center, Bethesda, Maryland, USA.
Kimberly R MiddletonNIH Clinical Center, Bethesda, Maryland, USA.
Melanie Sabado-LiwagIntramural Research Program, National Institute on Minority Health and Health Disparities, Rockville, Maryland, USA.
Valerie M MitchellCardiovascular Branch, NHLBI, Bethesda, Maryland, USA.
Kosuke TamuraCardiovascular Branch, NHLBI, Bethesda, Maryland, USA.
Alyssa T BrooksNIH Clinical Center, Bethesda, Maryland, USA.
Gwenyth R WallenNIH Clinical Center, Bethesda, Maryland, USA.
Tiffany M Powell-WileyCardiovascular Branch, NHLBI, Bethesda, Maryland, USA tiffany.powell@nih.gov.

Funding

Digital Health and Health Disparities Research LabZIAMD000011 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI EL-TOUKHY, SHERINE · 2018 to 2025
$3.1M
6 · The paper itself

Abstract

introductionA mixed-method, co-design approach to studying the adoption of mobile health (mHealth) technology among African-American (AA) women has not been fully explored. Qualitative data may contextualise existing knowledge surrounding perceptions of mHealth among AA women as part of formative work for designing a physical activity application (app).

methodsA convenience sample of 16 AA women completed an informatics survey prior to participating in focus groups exploring their use of mobile technology and health apps. Survey responses provided frequency data, while iterative transcript analysis of focus groups identified themes.

resultsThe majority of participants (mean age=62.1 years, SD=6.6) felt comfortable using a tablet/smartphone (75.0%). Most (68.8%) reported using health-related apps, primarily focused on physical activity and nutrition. Focus groups revealed four overarching concepts, including (1) user attachment, (2) technology adoption, (3) potential facilitators and (4) potential barriers. Important features which may serve as facilitators or barriers to future adoption of a mobile app for an mHealth intervention include individual app tailoring and software concerns, respectively. DISCUSSION: Thematic analysis revealed high user attachment to smartphones and described participants' process for adopting new mHealth technology.

conclusionEarly engagement of target end users as a part of a broader co-design and community-based participatory research process for developing mHealth technologies may be useful for sustained adoption of these tools in future mHealth behavioural interventions.

Indexed as

Community-Based Participatory ResearchHealth PromotionBlack or African AmericanBlack PeopleCardiovascular DiseasesExerciseFemaleFocus GroupsHumansInventionsMiddle AgedMobile ApplicationsQualitative ResearchSmartphoneSurveys and QuestionnairesTelemedicineBMJ Health Informaticshealth caremedical informaticspublic health

Identifiers

PMID32830106
PMCPMC7445338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.