Evidence map›Paper›PMID 37707881›Full record

ArticleJMIR human factors2023

Telehealth Satisfaction in Patients Receiving Virtual Atrial Fibrillation Care: Quantitative Exploratory Study.

Kathy L Rush, Lindsay Burton, Cherisse L Seaton, Peter Loewen, Brian P O'Connor, Lana Moroz, Kendra Corman, Mindy A Smith, Jason G Andrade

Abstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
–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

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

  1. Pooled it
  2. Assessing the impact of atrial fibrillation self-care interventions: A systematic review.American heart journal plus : cardiology research and practice · 2024
    Review
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

9 authors.

Kathy L RushSchool of Nursing, University of British Columbia, Okanagan, Kelowna, BC, Canada.ORCID 0000-0002-0879-7187
Lindsay BurtonSchool of Nursing, University of British Columbia, Okanagan, Kelowna, BC, Canada.ORCID 0000-0002-5379-9165
Cherisse L SeatonSchool of Nursing, University of British Columbia, Okanagan, Kelowna, BC, Canada.ORCID 0000-0003-4646-9894
Peter LoewenFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-7160-6438
Brian P O'ConnorDepartment of Psychology, University of British Columbia, Okanagan, Kelowna, BC, Canada.ORCID 0000-0002-6033-418X
Lana MorozThe Cardiac Atrial Fibrillation Specialty Clinic, Vancouver General Hospital, Vancouver, BC, Canada.ORCID 0000-0003-3494-7852
Kendra CormanSchool of Nursing, University of British Columbia, Okanagan, Kelowna, BC, Canada.ORCID 0000-0002-6193-8823
Mindy A SmithDepartment of Family Medicine, Michigan State University, East Lansing, MI, United States.ORCID 0000-0002-5965-8881
Jason G AndradeCentre for Cardiovascular Innovation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-8493-5123

Funding

CIHR PJT-148737
6 · The paper itself

Abstract

backgroundTelehealth can optimize access to specialty care for patients with atrial fibrillation (AF). Virtual AF care, however, may not fit with the complex needs of patients with AF.

objectiveThis study aims to explore the correlation among attitudes toward health care technologies, self-efficacy, and telehealth satisfaction as part of the future planning of virtual AF clinic care.

methodsPatients with AF older than 18 years from an urban-based, highly specialized AF clinic who had an upcoming telehealth visit were invited to participate in a web-based survey. The survey asked about demographic characteristics; use of technology; general, computer, and health care technology self-efficacy (HTSE) and health care technology attitudes, using a validated 30-item tool; and telehealth satisfaction questionnaire using a validated 14-item questionnaire. Data were analyzed with descriptive statistics, correlational analyses, and linear regression modeling.

resultsParticipants (n=195 of 579 invited, for a 34% response rate) were primarily older, male, and White, had postsecondary schooling or more, and had high self-reported overall and mental health ratings. A variety of technologies were used in their daily lives and for health care, with the majority of technologies comprising desktop and laptop computers, smartphones, and tablets. Self-efficacy and telehealth satisfaction questionnaire scores were high overall, with male participants having higher general self-efficacy, computer self-efficacy, HTSE, and technology attitude scores. After controlling for age and sex, only HTSE was significantly related to individuals' attitudes toward health care technology. Both general self-efficacy and attitude toward health care technology were positively related to telehealth satisfaction.

conclusionsConsistent with a previous study, only HTSE significantly influenced attitudes toward health care technology. This finding confirms that, in this regard, self-efficacy is not a general perception but is domain specific. Considering participants' predominant use of the telephone for virtual care, it follows that general self-efficacy and attitude toward health care technology were significant contributors to telehealth satisfaction. Given our patients' frequent use of technology and high computer self-efficacy and HTSE scores, the use of video for telehealth appointments could be supported.

Indexed as

Atrial FibrillationTelemedicineAmbulatory Care FacilitiesHumansMalePatient SatisfactionPersonal Satisfactionadoptionatrial fibrillationattitudeattitudesattitudes toward technologycardiologyeHealthheartperceptionperceptionssatisfactionself-efficacytelehealthtelehealth satisfactiontelemedicine

Identifiers

PMID37707881
PMCPMC10540016

What OpenQuestion holds

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LicenceCC BY
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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.