Evidence map›Paper›PMID 41100019›Full record

ArticleJournal of patient-reported outcomes2025

Psychometric properties of palliative care outcome measures: a multi-centre study.

Animut Alebel Ayalew, Sabina Clapham, Katherine Clark, Farina Hodiamont, Lisa Redwood, David Currow

Abstract readMulticenter Study
In one paragraph

Article in Journal of patient-reported outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
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.

Animut Alebel AyalewPalliative Care Outcomes Collaboration, Australasian Health Outcomes Consortium, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia. aayalew@uow.edu.au.ORCID http://orcid.org/0000-0003-2822-2062
Sabina ClaphamPalliative Care Outcomes Collaboration, Australasian Health Outcomes Consortium, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.
Katherine ClarkNorthern Sydney Local Health District Supportive and Palliative Care Network, Royal North Shore Hospital, Sydney, NSW, Australia.
Farina HodiamontDepartment of Palliative Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Lisa RedwoodPalliative Care Outcomes Collaboration, Australasian Health Outcomes Consortium, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.
David CurrowCollege of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeriodic evaluation of the psychometric properties of palliative care outcome measures is essential to ensure accurate assessment of patient outcomes and to support ongoing improvements in care quality. This study aimed to assess the psychometric properties of three tools: the Integrated Palliative Care Outcome Scale (IPOS), the Symptom Assessment Scale (SAS), and the Palliative Care Problem Severity Score (PCPSS).

methodsWe conducted a multicentre study using de-identified data collected from 378 participants. Internal consistency was assessed using Cronbach’s alpha for all tools, and confirmatory factor analysis was performed for the IPOS. Convergence and discriminant validity were examined for the SAS and PCPSS by analysing the correlations between similar and dissimilar items, respectively. Lastly, known-groups comparison validity was assessed.

resultsOf the 378 participants, 54.5% were male, and most (77.5%) had cancer. Internal consistency was good for the IPOS total (α = 0.81), acceptable for the SAS (α = 0.70), and marginal for the PCPSS (α = 0.65). A strong correlation was observed between the pain construct of SAS and PCPSS (r = 0.74). Both the PCPSS and SAS effectively discriminated symptoms between palliative care phases and settings of care in known-group comparisons. The physical domain of the IPOS demonstrated good discriminative ability in differentiating symptoms between cancer and non-cancer patients. Our data confirmed the three theoretical domains of the IPOS—physical, emotional, and informational.

conclusionThe IPOS demonstrated higher reliability using internal consistency, whereas SAS and PCPSS showed good validity in known group comparisons. These findings may inform the selection of context-appropriate palliative care outcome measures.

Indexed as

Outcome Assessment, Health CarePalliative CarePsychometricsAdultAgedFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesSymptom AssessmentIPOSPCPSSReliabilitySASValidity

Identifiers

PMID41100019
PMCPMC12532545

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