Evidence map›Paper›PMID 38451360›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

The Hemodialysis Distress Thermometer for Caregivers (HD-DT-C): development and testing of the psychometric properties of a new tool for screening psychological distress among family caregivers of adults on hemodialysis.

Helena Sousa, Oscar Ribeiro, Daniela Figueiredo

Abstract read
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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Helena SousaCINTESIS@RISE, Department of Education and Psychology, University of Aveiro - Campus Universitário de Santiago, Edifício 5, 3810-193, Aveiro, Portugal. helena.sousa@ua.pt.ORCID http://orcid.org/0000-0002-0832-0004
Oscar RibeiroCINTESIS@RISE, Department of Education and Psychology, University of Aveiro - Campus Universitário de Santiago, Edifício 5, 3810-193, Aveiro, Portugal.ORCID http://orcid.org/0000-0003-4740-7951
Daniela FigueiredoCINTESIS@RISE, School of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID http://orcid.org/0000-0002-3160-7871

Funding

Fundação para a Ciência e a Tecnologia DFA/BD/4821/2020Fundação para a Ciência e a Tecnologia POCI-01-0145-FEDER-030228
6 · The paper itself

Abstract

purposeTo develop and test the measurement properties of the HD-DT-C, a new tool designed to facilitate the screening of psychological distress and its sources in family caregivers of adults on hemodialysis.

methodsThe present investigation was carried out in three phases: Phase 1 focused on the process of developing and exploring the content validity and clinical utility of the HD-DT-C using a mixed-methods approach and feedback panels; Phase 2, where the psychometric properties of this new tool were tested in a cross-sectional study (n = 106 caregivers); and Phase 3, where the European Portuguese version of the HD-DT-C was translated and culturally adapted into American English using a forward-backward translation procedure, followed by an expert panel review.

resultsFindings suggested that the HD-DT-C was perceived by feedback panels as practical, appropriate, and useful for increasing dialysis provider/family caregiver communication in nephrology centers. The European Portuguese version of the HD-DT-C showed good test-retest reliability (ICC = 0.991 for the barometer and κ ≥ 0.80 in 77% of the checklist items), high diagnostic accuracy (AUC = 0.956), and strong convergent validity (all r ≥ 0.50) with reference measures that assess quality of life, caregiver burden, and symptoms of anxiety and depression. Cutoff scores with good clinical utility (CUI +  ≥ 0.70) were recommended for screening distress in research (≥ 6) and clinical practice (≥ 5).

conclusionThe HD-DT-C is a brief, reliable, valid, and acceptable measure for identifying self-reported psychological distress and its sources among people caring for a family member or friend on hemodialysis. Future research is needed to explore the measurement properties of the American English version of this new tool.

Indexed as

CaregiversPsychological DistressPsychometricsRenal DialysisAdultAgedCross-Sectional StudiesFemaleHumansMaleMass ScreeningMiddle AgedPortugalQuality of LifeReproducibility of ResultsStress, PsychologicalCaregiverDialysisDistressHealth-related outcome measureKidney failureQuality of life

Identifiers

PMID38451360
PMCPMC11116227

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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.