Evidence map›Paper›PMID 35064057›Full record

ArticleOpen heart2022

Health literacy interventions for secondary prevention of coronary artery disease: a scoping review.

Alison Beauchamp, Jason Talevski, Josef Niebauer, Johanna Gutenberg, Emmanuel Kefalianos, Barbara Mayr, Mahdi Sareban, Stefan Tino Kulnik

Open access · goldAbstract readScoping Review
In one paragraph

Article in Open heart, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Using Codesign to Develop a Health Literacy Intervention to Improve the Accessibility and Acceptability of Cardiac Services: The Equal Hearts Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Online Health Information-Seeking Behaviours and eHealth Literacy among First-Generation Chinese Immigrants.International journal of environmental research and public health · 2023
    Article
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 5 institutions in 4 countries.

Alison BeauchampMonash Rural Health, Monash University, Warragul, Victoria, Australia alison.beauchamp@monash.edu.
Jason TalevskiMonash Rural Health, Monash University, Warragul, Victoria, Australia.ORCID 0000-0001-9180-8758
Josef NiebauerUniversity Institute of Sports Medicine, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, Salzburg, Austria.
Johanna GutenbergLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Emmanuel KefalianosDepartment of Physiotherapy, Western Health, Footscray, Victoria, Australia.
Barbara MayrUniversity Institute of Sports Medicine, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, Salzburg, Austria.
Mahdi SarebanUniversity Institute of Sports Medicine, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, Salzburg, Austria.
Stefan Tino KulnikLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.ORCID 0000-0001-5419-6713
Paracelsus Medical University · ATThe University of Melbourne · AUFootscray Hospital · AUMaastricht University · NLSt George's, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deficits in health literacy are common in patients with coronary artery disease (CAD), and this is associated with increased morbidity and mortality. In this scoping review, we sought to identify health literacy interventions that aimed to improve outcomes in patients with CAD, using a contemporary conceptual model that captures multiple aspects of health literacy. We searched electronic databases for studies published since 2010. Eligible were studies of interventions supporting patients with CAD to find, understand and use health information via one of the following: building social support for health; empowering people with lower health literacy; improving interaction between patients and the health system; improving health literacy capacities of clinicians or facilitating access to health services. Studies were assessed for methodological quality, and findings were analysed through qualitative synthesis. In total, 21 studies were included. Of these, 10 studies aimed to build social support for health; 6 of these were effective, including those involving partners or peers. Five studies targeted interaction between patients and the health system; four of these reported improved outcomes, including through use of teach-back. One study addressed health literacy capacities of clinicians through communication training, and two facilitated access to health services via structured follow-up-all reporting positive outcomes. Health literacy is a prerequisite for CAD patients to self-manage their health. Through use of a conceptual framework to describe health literacy interventions, we identified mechanisms by which patients can be supported to improve health outcomes. Our findings warrant integration of these interventions into routine clinical practice.

Indexed as

Health LiteracyCoronary Artery DiseaseHumansSecondary Preventioncoronary artery diseasequality of health caresystematic reviews as topic

Identifiers

PMID35064057
PMCPMC8785201
OpenAlexW4207002383

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.