Evidence map›Paper›PMID 32865129›Full record

ArticleJournal of the American Heart Association2020

Atrial Fibrillation Screen, Management, and Guideline-Recommended Therapy in the Rural Primary Care Setting: A Cross-Sectional Study and Cost-Effectiveness Analysis of eHealth Tools to Support All Stages of Screening.

Jessica Orchard, Jialin Li, Ben Freedman, Ruth Webster, Glenn Salkeld, Charlotte Hespe, Robyn Gallagher, Anushka Patel, Bishoy Kamel, Lis Neubeck and 1 more

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

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  3. Auditing the Audits: A Systematic Review on Different Procedures in Telemedicine.International journal of environmental research and public health · 2023
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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

11 authors at 5 institutions in 2 countries.

Jessica OrchardHeart Research Institute Charles Perkins Centre University of Sydney Australia.
Jialin LiHeart Research Institute Charles Perkins Centre University of Sydney Australia.
Ben FreedmanHeart Research Institute Charles Perkins Centre University of Sydney Australia.
Ruth WebsterThe George Institute for Global Health University of New South Wales Sydney Australia.
Glenn SalkeldFaculty of Social Sciences University of Wollongong Australia.
Charlotte HespeSchool of Medicine University of Notre Dame Australia Sydney Australia.
Robyn GallagherSusan Wakil School of Nursing, Faculty of Medicine and Health Charles Perkins Centre University of Sydney Sydney Australia.
Anushka PatelThe George Institute for Global Health University of New South Wales Sydney Australia.
Bishoy KamelThe George Institute for Global Health University of New South Wales Sydney Australia.
Lis NeubeckSchool of Health and Social Care Edinburgh Napier University Edinburgh UK.
Nicole LowresHeart Research Institute Charles Perkins Centre University of Sydney Australia.
The University of Sydney · AUUNSW Sydney · AUEdinburgh Napier University · GBThe University of Notre Dame Australia · AUUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Internationally, most atrial fibrillation (AF) management guidelines recommend opportunistic screening for AF in people ≥65 years of age and oral anticoagulant treatment for those at high stroke risk (CHA₂DS₂-VA≥2). However, gaps remain in screening and treatment. METHODS AND RESULTS General practitioners/nurses at practices in rural Australia (n=8) screened eligible patients (≥65 years of age without AF) using a smartphone ECG during practice visits. eHealth tools included electronic prompts, guideline-based electronic decision support, and regular data reports. Clinical audit tools extracted de-identified data. Results were compared with an earlier study in metropolitan practices (n=8) and nonrandomized control practices (n=69). Cost-effectiveness analysis compared population-based screening with no screening and included screening, treatment, and hospitalization costs for stroke and serious bleeding events. Patients (n=3103, 34%) were screened (mean age, 75.1±6.8 years; 47% men) and 36 (1.2%) new AF cases were confirmed (mean age, 77.0 years; 64% men; mean CHA₂DS₂-VA, 3.2). Oral anticoagulant treatment rates for patients with CHA₂DS₂-VA≥2 were 82% (screen detected) versus 74% (preexisting AF)(

Indexed as

AgedAnticoagulantsAtrial FibrillationAustraliaCost-Benefit AnalysisCross-Sectional StudiesDecision Support Systems, ClinicalFemaleHumansMaleMass ScreeningMobile ApplicationsPractice Guidelines as TopicPrimary Health CareRural Health ServicesSmartphoneAnticoagulantscost‐effectivenessdigital healthgeneral practiceprimary careruralstroke prevention

Identifiers

PMID32865129
PMCPMC7726973
OpenAlexW3081905191

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.