Evidence map›Paper›PMID 35363156›Full record

ArticleJMIR research protocols2022

Efficacy of a Digital Acceptance and Commitment Therapy Intervention for the Improvement of Self-management Behaviors and Psychological Flexibility in Adults With Cardiac Disease: Protocol for a Single Case Experimental Design.

Orla Moran, Julie Doyle, Oonagh Giggins, Louise McHugh, Evelyn Gould, Suzanne Smith, Shane Gavin, Nisanth Sojan, Gordon Boyle

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Orla MoranNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0001-5831-2021
Julie DoyleNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0003-4017-6329
Oonagh GigginsNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0001-7748-5446
Louise McHughSchool of Psychology, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0002-2526-4649
Evelyn GouldHarvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0002-8259-5890
Suzanne SmithNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-8486-7087
Shane GavinNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-4604-9067
Nisanth SojanNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-0581-0673
Gordon BoyleNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-4501-7469
Dundalk Institute of Technology · IEHarvard University · USUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch indicates that the management of distress levels in those with cardiac disease is not only important for improving quality of life and functioning but also critical for condition management; adherence to treatment; and, ultimately, disease prognosis and progression. Acceptance and commitment therapy (ACT) has consistently demonstrated positive long-term outcomes across a wide array of conditions, including chronic illness. However, most empirical investigations conducted to date have also involved in-person therapy, which can be difficult to access, particularly for those dealing with the demands of chronic disease.

objectiveThe objective of our research is to evaluate a digital ACT intervention for improving self-management behaviors and distress levels in those with cardiac conditions.

methodsThe digital ACT intervention will be delivered via a digital health self-management platform over 6 sessions. This will involve a randomized, multiple baseline, single case experimental design with approximately 3 to 15 adults with cardiac disease. The independent variable for each participant will be the pre-post intervention phase. The dependent variables will be a daily self-report measure of psychological flexibility as well as objective measures of condition self-management (eg, blood pressure readings) and engagement with the app (eg, completing guided mindfulness). One-to-one qualitative interviews will also be conducted to further examine participants' experiences with using the intervention and what factors contribute to or impede successful outcomes.

resultsParticipant recruitment and data collection began in October 2021, and it is projected that the study findings will be available for dissemination by spring 2022.

conclusionsThe findings will be discussed in terms of how a digital ACT intervention can best meet the needs of cardiac patients. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/33783.

Indexed as

acceptance and commitment therapycardiac diseasedigital healthdistress managementself-managementsingle case experimental design

Identifiers

PMID35363156
PMCPMC9015764
OpenAlexW4200024083

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.