Evidence map›Paper›PMID 38557362›Full record

ArticleInteractive journal of medical research2024

Evaluation of an mHealth App on Self-Management of Osteoporosis: Prospective Survey Study.

Magnus Grønlund Bendtsen, Bodil Marie Thuesen Schönwandt, Mette Rubæk, Mette Friberg Hitz

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Article in Interactive journal of medical research, 2024. 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
–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

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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.

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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.

Magnus Grønlund BendtsenResearch Unit, Medical Department, Zealand University Hospital, Koege, Denmark.ORCID https://orcid.org/0009-0001-4858-4186
Bodil Marie Thuesen SchönwandtResearch Unit, Medical Department, Zealand University Hospital, Koege, Denmark.ORCID https://orcid.org/0009-0000-2827-4829
Mette RubækResearch Unit, Medical Department, Zealand University Hospital, Koege, Denmark.ORCID https://orcid.org/0000-0002-2591-9457
Mette Friberg HitzResearch Unit, Medical Department, Zealand University Hospital, Koege, Denmark.ORCID https://orcid.org/0000-0003-2195-8552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health (mHealth) technologies can be used for disease-specific self-management, and these technologies are experiencing rapid growth in the health care industry. They use mobile devices, specifically smartphone apps, to enhance and support medical and public health practices. In chronic disease management, the use of apps in the realm of mHealth holds the potential to improve health outcomes. This is also true for mHealth apps on osteoporosis, but the usage and patients' experiences with these apps are underexplored.

objectiveThis prospective survey study aimed to investigate the eHealth literacy of Danish patients with osteoporosis, as well as the usability and acceptability of the app "My Bones."

methodsData on patient characteristics, disease knowledge, eHealth literacy, usability, and acceptability were collected using self-administered questionnaires at baseline, 2 months, and 6 months. The following validated questionnaires were used: eHealth Literacy Questionnaire, System Usability Scale, and Service User Technology Acceptability Questionnaire.

resultsMean scores for eHealth literacy ranged from 2.6 to 3.1, with SD ranging from 0.5 to 0.6 across the 7 domains. The mean (SD) System Usability Scale score was 74.7 (14.4), and the mean (SD) scores for domains 1, 2, and 6 of the Service User Technology Acceptability Questionnaire were 3.4 (1.2), 4.5 (1.1), 4.1 (1.2), respectively.

conclusionsDanish patients with osteoporosis are both motivated and capable of using digital health services. The app's usability was acceptable, and it has the potential to reduce visits to general practitioner clinics, enhance health outcomes, and serve as a valuable addition to regular health or social care services.

Indexed as

acceptabilityeHealtheHealth literacyhealth literacymHealthmobile healthmobile health appsosteoporosisself-managementusability

Identifiers

PMID38557362
PMCPMC11019424

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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.