Evidence map›Paper›PMID 28400367›Full record

Observational studyJournal of the American Heart Association2017

Health Literacy and Awareness of Atrial Fibrillation.

Stephanie R Reading, Alan S Go, Margaret C Fang, Daniel E Singer, In-Lu Amy Liu, Mary Helen Black, Natalia Udaltsova, Kristi Reynolds, Anticoagulation and Risk Factors in Atrial Fibrillation–Cardiovascular Research Network (ATRIA‐CVRN) Investigators

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Observational
  17. Disparities in the access to atrial fibrillation ablation in Denmark: who gets ablated, who neglected?Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
  18. Review
  19. Article
  20. 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

9 authors at 3 institutions in 1 country.

Stephanie R ReadingDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Margaret C FangDivision of Hospital Medicine, University of California San Francisco, San Francisco, CA.
Daniel E SingerDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
In-Lu Amy LiuDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.
Mary Helen BlackDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.
Natalia UdaltsovaDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Kristi ReynoldsDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA kristi.reynolds@kp.org.
Anticoagulation and Risk Factors in Atrial Fibrillation–Cardiovascular Research Network (ATRIA‐CVRN) Investigators
Kaiser Permanente · USSinger (United States) · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common clinically significant arrhythmia in adults and a major risk factor for ischemic stroke. Nonetheless, previous research suggests that many individuals diagnosed with AF lack awareness about their diagnosis and inadequate health literacy may be an important contributing factor to this finding. METHODS AND

resultsWe examined the association between health literacy and awareness of an AF diagnosis in a large, ethnically diverse cohort of Kaiser Permanente Northern and Southern California adults diagnosed with AF between January 1, 2006 and June 30, 2009. Using self-reported questionnaire data completed between May 1, 2010 and September 30, 2010, awareness of an AF diagnosis was evaluated using the question "Have you ever been told by a doctor or other health professional that you have a heart rhythm problem called atrial fibrillation or atrial flutter?" and health literacy was assessed using a validated 3-item instrument examining problems because of reading, understanding, and filling out medical forms. Of the 12 517 patients diagnosed with AF, 14.5% were not aware of their AF diagnosis and 20.4% had inadequate health literacy. Patients with inadequate health literacy were less likely to be aware of their AF diagnosis compared with patients with adequate health literacy (prevalence ratio=0.96; 95% CI [0.94, 0.98]), adjusting for sociodemographics, health behaviors, and clinical characteristics.

conclusionsLower health literacy is independently associated with less awareness of AF diagnosis. Strategies designed to increase patient awareness of AF and its complications are warranted among individuals with limited health literacy.

Indexed as

AwarenessHealth Knowledge, Attitudes, PracticeHealth LiteracyAgedAged, 80 and overAtrial FibrillationAtrial FlutterCaliforniaComprehensionCross-Sectional StudiesFemaleHealth Maintenance OrganizationsHealth StatusHumansMaleMiddle Agedarrhythmiaatrial fibrillationawarenesshealth literacy

Identifiers

PMID28400367
PMCPMC5533014
OpenAlexW2606738217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.