Evidence map›Paper›PMID 38229459›Full record

ArticleESC heart failure2024

Impact of mental disorders on unplanned readmissions for congestive heart failure patients: a population-level study.

Zhisheng Sa, Tim Badgery-Parker, Janet C Long, Jeffrey Braithwaite, Martin Brown, Jean-Frederic Levesque, Diane E Watson, Johanna I Westbrook, Rebecca Mitchell

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Real-world characteristics and management of ventricular tachycardias in ICD patients: Data from the VIDEO registry.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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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

9 authors at 3 institutions in 2 countries.

Zhisheng SaAustralian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, Australia.
Tim Badgery-ParkerAustralian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, Australia.
Janet C LongAustralian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, Australia.
Jeffrey BraithwaiteAustralian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, Australia.
Martin BrownFaculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.
Jean-Frederic LevesqueAgency for Clinical Innovation, Sydney, NSW, Australia.
Diane E WatsonBureau of Health Information, Sydney, NSW, Australia.
Johanna I WestbrookAustralian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, Australia.
Rebecca MitchellAustralian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, NSW, Australia.
Macquarie University · AUNew South Wales Department of Health · AUUNSW Sydney · AU

Funding

Medical Research Future Fund (MRFF) Keeping Australians Out of Hospital APP1178554
6 · The paper itself

Abstract

aimsReducing preventable hospitalization for congestive heart failure (CHF) patients is a challenge for health systems worldwide. CHF patients who also have a recent or ongoing mental disorder may have worse health outcomes compared with CHF patients with no mental disorders. This study examined the impact of mental disorders on 28 day unplanned readmissions of CHF patients. METHODS AND

resultsThis retrospective cohort study used population-level linked public and private hospitalization and death data of adults aged ≥18 years who had a CHF admission in New South Wales, Australia, between 1 January 2014 and 31 December 2020. Individuals' mental disorder diagnosis and Charlson comorbidity and hospital frailty index scores were derived from admission records. Competing risk and cause-specific risk analyses were conducted to examine the impact of having a mental disorder diagnosis on all-cause hospital readmission. Of the 65 861 adults with index CHF admission discharged alive (mean age: 78.6 ± 12.1; 48% female), 19.2% (12 675) had at least one unplanned readmission within 28 days following discharge. Adults with CHF with a mental disorder diagnosis within 12 months had a higher risk of 28 day all-cause unplanned readmission [hazard ratio (HR): 1.21, 95% confidence interval (CI): 1.15-1.27, P-value < 0.001], particularly those with anxiety disorder (HR: 1.49, 95% CI: 1.35-1.65, P-value < 0.001). CHF patients aged ≥85 years (HR: 1.19, 95% CI: 1.11-1.28), having ≥3 other comorbidities (HR: 1.35, 95% CI: 1.25-1.46), and having an intermediate (HR: 1.34, 95% CI: 1.28-1.40) or high (HR: 1.37, 95% CI: 1.27-1.47) frailty score on admission had a higher risk of unplanned readmission. CHF patients with a mental disorder who have ≥3 other comorbidities and an intermediate frailty score had the highest probability of unplanned readmission (29.84%, 95% CI: 24.68-35.73%) after considering other patient-level factors and competing events.

conclusionsCHF patients who had a mental disorder diagnosis in the past 12 months are more likely to be readmitted compared with those without a mental disorder diagnosis. CHF patients with frailty and a mental disorder have the highest probability of readmission. Addressing mental health care services in CHF patient's discharge plan could potentially assist reduce unplanned readmissions.

Indexed as

FrailtyHeart FailureMental DisordersAdolescentAdultAgedAged, 80 and overFemaleHumansMalePatient ReadmissionRetrospective StudiesAnxiety disorderHeart failureHospitalizationMental disordersReadmission

Identifiers

PMID38229459
PMCPMC10966240
OpenAlexW4390951702

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.