Evidence map›Paper›PMID 22366509›Full record

ArticleThe Canadian journal of cardiology

Referral and use of heart failure clinics: what factors are related to use?

Shannon Gravely, Liane Ginsburg, Donna E Stewart, Susanna Mak, Sherry L Grace, Cardiac Rehabilitation Care Continuity Through Automatic Referral Evaluation (CRCARE) Investigators

Abstract read
In one paragraph

Article in The Canadian journal of cardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

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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

6 authors.

Shannon GravelyYork University, Faculty of Health, Toronto, Ontario, Canada.
Liane Ginsburg
Donna E Stewart
Susanna Mak
Sherry L Grace
Cardiac Rehabilitation Care Continuity Through Automatic Referral Evaluation (CRCARE) Investigators

Funding

CIHR 80489-1CIHR MSH-80489
6 · The paper itself

Abstract

backgroundHeart failure (HF) clinics have been shown to reduce hospital readmissions and generally have favourable effects on quality of life, survival, and care costs. This study investigated the rates of referral and use of HF clinics and examined factors related to program use.

methodsThis study represents a secondary analysis of a larger prospective cohort study conducted in Ontario. In hospital, 474 HF inpatients from 11 hospitals across Ontario completed a survey that examined predisposing, enabling, and need factors affecting HF clinic use. Then 1 year later, 271 HF patients completed a mailed survey that assessed referral to and use of HF clinics.

resultsForty-one patients (15.2%) self-reported referral, and 35 (13%) self-reported attending an HF clinic. Generalized estimating equations showed that factors related to greater program use were having an HF clinic at the site of hospital recruitment (odds ratio [OR] = 8.40; P = 0.04), referral to other disease management programs (OR = 4.87; P = 0.04), higher education (OR = 4.61; P = 0.02), lower stress (OR = 0.93; P = 0.03), and lower functional status (OR = 0.97; P = 0.03).

conclusionSimilar to previous research, only one-seventh of HF patients were referred to and used an HF clinic. Both patient-level and health-system factors were related to HF clinic use. Given the benefits of HF clinics, more research examining how equitable access can be increased is needed. Also, the appropriateness and cost repercussions of use of multiple disease management programs should be investigated.

Indexed as

AgedAged, 80 and overCohort StudiesFemaleHealth Services Needs and DemandHeart FailureHumansMaleMiddle AgedOdds RatioOntarioProspective StudiesReferral and ConsultationRehabilitation CentersRisk FactorsUtilization Review

Identifiers

PMID22366509
PMCPMC4494832

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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.