Evidence map›Paper›PMID 42295474›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2026

Preference-based scoring algorithm to estimate societal utilities based on the patient-reported experience of cognitive impairment in schizophrenia (PRECIS) instrument.

Martine Hoogendoorn, Irene Santi, Anna-Katrine Sussex, Daniel Aggio, Jenny Wang, Andrew Lloyd

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Martine HoogendoornInstitute for Medical Technology Assessment, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, The Netherlands. hoogendoorn@imta.eur.nl.ORCID http://orcid.org/0000-0002-7122-9780
Irene SantiInstitute for Medical Technology Assessment, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3812-2962
Anna-Katrine SussexAcaster Lloyd, London, UK.ORCID http://orcid.org/0009-0001-8709-3793
Daniel AggioAcaster Lloyd, London, UK.ORCID http://orcid.org/0000-0001-6752-0180
Jenny WangBoehringer Ingelheim International GmbH, Ingelheim, Germany.
Andrew LloydAcaster Lloyd, London, UK.ORCID http://orcid.org/0000-0002-7597-6556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGeneric measures of health-related quality of life (HRQoL), such as the EQ-5D, may inadequately capture the impact of cognitive impairment in schizophrenia, resulting in incorrect QALY estimates in economic evaluations. This study aimed to obtain health utilities by valuing key items of the Patient-Reported Experience of Cognitive Impairment in Schizophrenia (PRECIS) instrument.

methodsFirst, expert interviews and psychometric analysis of the 28-item version of the PRECIS were performed to identify the best-performing and most relevant items. Second, health states based on the four selected PRECIS items representing memory, communication, executive function and attention (each with five levels of severity) were valued by the UK general public through a discrete choice experiment (DCE) survey and composite time trade-off (cTTO) interviews. To estimate a utility scoring algorithm, the DCE data were analyzed using mixed logit models and rescaled onto a 0-1 (dead to full health) utility scale using the cTTO results.

resultsThe cTTO utility for the best health state (level 1, "not at all hard", across all domains) had a mean utility of 0.992 (SD 0.038) while the worst state (level 5, "very hard", across domains) had a mean utility of 0.292 (SD 0.479). All domains significantly predicted larger utility decrements with increasing impairment severity.

conclusionThis study demonstrated the feasibility of quantifying health utility values for patient-reported cognitive impairment domains using the validated PRECIS instrument. The resulting utilities can capture the HRQoL impact of cognitive impairment, supporting more accurate future economic evaluations of therapies targeting cognitive function in schizophrenia.

Indexed as

AlgorithmsCognitive DysfunctionQuality of LifeSchizophreniaAdultFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresPsychometricsQuality-Adjusted Life YearsSchizophrenic PsychologySurveys and QuestionnairesUnited KingdomCognitive impairmentCost-effectivenessPRECISSchizophreniaUtility

Identifiers

PMID42295474
PMCPMC13269143

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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.