Evidence map›Paper›PMID 28271387›Full record

ArticleThe patient2017

Development of a Patient-Reported Palliative Care-Specific Health Classification System: The POS-E.

Mendwas Dzingina, Irene J Higginson, Paul McCrone, Fliss E M Murtagh

Abstract read
In one paragraph

Article in The patient, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Psychometric properties of the ICECAP-SCM capability-wellbeing measure in specialist palliative care units in Austria.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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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

4 authors.

Mendwas DzinginaDepartment of Palliative Care, Policy and Rehabilitation, Cicely Saunders Institute, King's College London, Denmark Hill, London, SE5 9PJ, UK. Mendwas.dzingina@kcl.ac.uk.
Irene J HigginsonDepartment of Palliative Care, Policy and Rehabilitation, Cicely Saunders Institute, King's College London, Denmark Hill, London, SE5 9PJ, UK.
Paul McCroneKing's Health Economics, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.
Fliss E M MurtaghDepartment of Palliative Care, Policy and Rehabilitation, Cicely Saunders Institute, King's College London, Denmark Hill, London, SE5 9PJ, UK.

Funding

Department of Health RP-PG-1210-12015Medical Research Council G0802654
6 · The paper itself

Abstract

backgroundGeneric preference-based measures are commonly used to estimate quality-adjusted life-years (QALYs) to inform resource-allocation decisions. However, concerns have been raised that generic measures may be inappropriate in palliative care.

objectiveOur objective was to derive a health-state classification system that is amenable to valuation from the ten-item Palliative Care Outcome Scale (POS), a widely used patient-reported outcome measure in palliative care.

methodsThe dimensional structure of the original POS was assessed using factor analysis. Item performance was assessed, using Rasch analysis and psychometric criteria, to enable the selection of items that represent the dimensions covered by the POS. Data from six studies of patients receiving palliative care were combined (N = 1011) and randomly split into two halves for development and validation. Analysis was undertaken on the development data, and results were validated by repeating the analysis with the validation dataset.

resultsFollowing Rasch and factor analyses, a classification system of seven items was derived. Each item had two to three levels. Rasch threshold map helped identify a set of 14 plausible health states that can be used for the valuation of the instrument to derive a preference-based index.

conclusionCombining factor analysis and Rasch analysis with psychometric criteria provides a valid method of constructing a classification system for a palliative care-specific preference-based measure. The next stage is to obtain preference weights so the measure can be used in economic evaluations in palliative care.

Indexed as

AnxietyDepressionFactor Analysis, StatisticalFamily RelationsHealth StatusHumansPain ManagementPalliative CarePsychometricsQuality of LifeReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID28271387
PMCPMC5422446

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LicenceCC BY-NC
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Registered trials

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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.