Evidence map›Paper›PMID 31217696›Full record

ReviewClinical Medicine Insights. Cardiology2019

Self-Care Interventions That Reduce Hospital Readmissions in Patients With Heart Failure; Towards the Identification of Change Agents.

S R Toukhsati, T Jaarsma, A S Babu, A Driscoll, D L Hare

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinical Medicine Insights. Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

S R ToukhsatiSchool of Health and Life Sciences, Psychology, Federation University Australia, Berwick, VIC, Australia.ORCID https://orcid.org/0000-0002-2937-0895
T JaarsmaFaculty of Health Sciences, University of Linköping, Linköping, Sweden.
A S BabuFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.ORCID https://orcid.org/0000-0003-1084-0137
A DriscollDepartment of Cardiology, Austin Health, Heidelberg, VIC, Australia.
D L HareFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unplanned hospital readmissions are the most important, preventable cost in heart failure (HF) health economics. Current professional guidelines recommend that patient self-care is an important means by which to reduce this burden. Patients with HF should be engaged in their care such as by detecting, monitoring, and managing their symptoms. A variety of educational and behavioural interventions have been designed and implemented by health care providers to encourage and support patient self-care. Meta-analyses support the use of self-care interventions to improve patient self-care and reduce hospital readmissions; however, efficacy is variable. The aim of this review was to explore methods to achieve greater clarity and consistency in the development and reporting of self-care interventions to enable 'change agents' to be identified. We conclude that advancement in this field requires more explicit integration and reporting on the behaviour change theories that inform the design of self-care interventions and the selection of behaviour change techniques. The systematic application of validated checklists, such as the Theory Coding Scheme and the CALO-RE taxonomy, will improve the systematic testing and refinement of interventions to enable 'change agent/s' to be identified and optimised.

Indexed as

adherencechange agentheart failurereadmissionself-care

Identifiers

PMID31217696
PMCPMC6563392

What OpenQuestion holds

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LicenceCC BY-NC
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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.