Evidence map›Paper›PMID 32940611›Full record

ArticleJMIR human factors2020

Understanding the Attitudes of Clinicians and Patients Toward a Self-Management eHealth Tool for Atrial Fibrillation: Qualitative Study.

Boon Piang Cher, Gayatri Kembhavi, Kai Yee Toh, Jananie Audimulam, Wei-Yan Aloysius Chia, Hubertus Jm Vrijhoef, Yee Wei Lim, Toon Wei Lim

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  7. 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

8 authors at 3 institutions in 2 countries.

Boon Piang CherCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0001-5745-8133
Gayatri KembhaviCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0002-6460-1708
Kai Yee Toh *Centre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0001-9763-1762
Jananie Audimulam *Centre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0002-0826-8330
Wei-Yan Aloysius ChiaCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0003-0847-035X
Hubertus Jm Vrijhoef *Department of Family Medicine and Chronic Care, Department of Patient and Care, University Hospital Maastricht, Maastricht, The Netherlands, Panaxea, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-5539-4671
Yee Wei LimSaw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0003-4686-0738
Toon Wei LimDepartment of Cardiology, National University Heart Centre, National University Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0002-3429-9237
National University of Singapore · SGMaastricht University Medical Centre · NLNational University Heart Centre Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common heart rhythm disorder and poses a growing disease burden worldwide because of an aging population. A multidisciplinary approach with an emphasis on patient education and self-management has been demonstrated to improve outcomes for AF through the engagement of patients in their own care. Although electronic tools (e-tools) such as apps have been proposed to provide patient education and facilitate self-management, there have been few studies to guide the development of these tools for patients with AF.

objectiveThis study aims to explore the perceptions of patients and health care providers (HCPs) and their attitudes toward the use of e-tools for the self-management of AF. It also seeks to elicit the factors that contribute to these attitudes.

methodsSemistructured qualitative interviews with HCPs and patients were conducted to understand the interpretations and expectations of an e-tool that would be used for the self-management of AF. Interview data were analyzed using an exploratory thematic analysis approach to uncover emergent themes and infer ideas of preferred features in a device. A modified technology acceptance model was developed as a framework to help interpret these findings. Data from the HCPs and patients were compared and contrasted.

resultsBoth patients and HCPs thought that an e-tool would be useful in the self-management of AF. Although both groups favored educational content and monitoring of blood pressure, patients expressed more passivity toward self-care and an ambivalence toward the use of technology to monitor their medical condition. This appears to be related to factors such as a patient's age, social support, and their attitudes toward technology. Instead, they favored using the app to contact their HCPs.

conclusionsThis study provides insights into significant differences in the attitudes of patients and HCPs toward the use of e-tools for self-care against their priorities. Understanding patients' motivations and their needs are key to ensuring higher acceptance of such tools.

Indexed as

atrial fibrillationchronic diseasemHealthmobile phonequalitative researchself-management

Identifiers

PMID32940611
PMCPMC7530695
OpenAlexW3036435001

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.