Evidence map›Paper›PMID 39716101›Full record

ArticleBMC cardiovascular disorders2024

Translation and psychometric validation of the Heart Failure Symptom Tracker (HFaST).

Maria Inês Perez, Joana Seringa, Teresa Magalhães

Abstract readValidation Study
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Maria Inês PerezNOVA National School of Public Health, NOVA University Lisboa, Lisbon, Portugal. ines.antunes.perez@gmail.com.
Joana SeringaNOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisboa, Lisbon, Portugal.
Teresa MagalhãesNOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisboa, Lisbon, Portugal.

Funding

Fundação para a Ciência e a Tecnologia UIDP/04923/2020
6 · The paper itself

Abstract

backgroundHeart Failure (HF) is a global public health issue with high morbidity and mortality rates. Symptom management improves HF patients' quality of life and demonstrates a potential reduction in hospitalisation, particularly among individuals aged 65 and over. Early identification of patients at higher risk of hospitalisation is essential to guide patient-centred interventions. This study aimed to translate, cross-culturally adapt and evaluate the psychometric properties of the Heart Failure Symptom Tracker (HFaST) tool for the Portuguese population. Additionally, it aimed to test the hypothesis that higher scores of the HFaST are associated with increased hospitalisations due to HF decompensation.

methodsThis cross-sectional study was conducted in two phases. The first phase involved the linguistic translation and cross-cultural adaptation of the HFaST tool into European Portuguese. Content validity was assessed by a panel of ten experts, who evaluated the clarity, relevance and equivalence of the pre-final version. A pre-test, using cognitive interviews with a sample of forty individuals was conducted to assess the item comprehensibility of the adapted tool. The second phase involved the psychometric validity in a sample of sixty HF patients. Participants completed a demographical and clinical assessment, the Portuguese version of the HFaST tool and the Portuguese version of the KCCQ-23 questionnaire. Additionally, the association between HFaST scores and HF hospitalisations were analysed.

resultsEquivalence between versions showed substantial to perfect agreement, with Fleiss' k ranging from 0.678 to 1.000. Necessary adjustments were performed. Pre-test confirmed 95% comprehensibility. Internal consistency was acceptable, with a Cronbach's Alpha of 0.724, moderate to strong inter-item correlations, and significant correlations between the HFaST and the KCCQ-23 items were observed. Higher HFaST scores were significantly associated with increased hospitalisations, highlighting its role as a predictive tool for clinical risk stratification.

conclusionsThe Portuguese version of the HFaST demonstrated to be a reliable and valid self-management tool for HF patients in Portugal. By predicting the likelihood of hospitalisation risk, the HFaST enables clinicians to implement early interventions, potentially reducing hospital admissions, improving patients' outcomes and contributing to a better quality of life. CLINICAL TRIAL NUMBER: not applicable.

Indexed as

Heart FailureHospitalizationPredictive Value of TestsPsychometricsAgedAged, 80 and overCross-Sectional StudiesCultural CharacteristicsFemaleHumansMaleMiddle AgedPortugalQuality of LifeReproducibility of ResultsRisk FactorsDisease managementHeart failurePsychometric validationSymptom tracker

Identifiers

PMID39716101
PMCPMC11664874

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.