Evidence map›Paper›PMID 36593473›Full record

ArticleHealth and quality of life outcomes2023

Preference heterogeneity in health valuation: a latent class analysis of the Peru EQ-5D-5L values.

Suzana Karim, Benjamin Matthew Craig, Romina Arely Tejada, Federico Augustovski

Abstract read
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Article in Health and quality of life outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

  1. Article
  2. Article
  3. Scale and rate heterogeneity in the EQ-5D-5L valuation.Health and quality of life outcomes · 2024
    Article
  4. Latent Variables Analysis in Person-Oriented Research.Journal for person-oriented research · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Suzana KarimUniversity of South Florida, 4202 E Fowler Ave, Tampa, FL, 33620, USA. suzanakarim@usf.edu.
Benjamin Matthew CraigUniversity of South Florida, 4202 E Fowler Ave, Tampa, FL, 33620, USA.
Romina Arely TejadaMcGill University, Montreal, Canada.
Federico AugustovskiInstitute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.

Funding

EuroQol Research Foundation 138-2020RA
6 · The paper itself

Abstract

backgroundPreference heterogeneity in health valuation has become a topic of greater discussion among health technology assessment agencies. To better understand heterogeneity within a national population, valuation studies may identify latent groups that place different absolute and relative importance (i.e., scale and taste parameters) on the attributes of health profiles.

objectiveUsing discrete choice responses from a Peruvian valuation study, we estimated EQ-5D-5L values on a quality-adjusted life-year (QALY) scale accounting for latent heterogeneity in scale and taste, as well as controlling heteroskedasticity at task level variation.

methodWe conducted a series of latent class analyses, each including the 20 main effects of the EQ-5D-5L and a power function that relaxes the constant proportionality assumption (i.e., discounting) between value and lifespan. Taste class membership was conditional on respondent-specific characteristics and their experience with the composite time trade-off (cTTO) tasks. Scale class membership was conditional on behavioral characteristics such as survey duration and self-stated difficulty level in understanding tasks. Each analysis allowed the scale factor to vary by task type and completion time (i.e., heteroskedasticity).

resultsThe results indicated three taste classes: a quality-of-life oriented class (33.35%) that placed the highest value on levels of severity, a length-of-life oriented class (26.72%) that placed the highest value on lifespan, and a middle class (39.71%) with health attribute effects lower than the quality class and lifespan effect lower than the length-of-life oriented class. The EQ-5D-5L values ranged from - 2.11 to 0.86 (quality-of-life oriented class), from - 0.38 to 1.02 (middle class), and from 0.36 to 1.01 (length-of-life oriented class). The likelihood of being a member of the quality-of-life class was highly dependent on whether the respondent completed the cTTO tasks (p-value < 0.001), which indicated that the cTTO tasks might cause the Peru respondents to inflate the burden of health problems on a QALY scale compared to those who did not complete the cTTO tasks. The results also showed two scale classes as well as heteroskedasticity within each scale class.

conclusionAccounting for taste and scale classes simultaneously improveds understanding of preference heterogeneity in health valuation. Future studies may confirm the differences in taste between classes in terms of the effect of quality of life and lifespan attributes. Furthermore, confirmatory evidence is needed on how behavioral variables captured within a study protocol may enhance analyses of preference heterogeneity.

Indexed as

Quality of LifeHumansLatent Class AnalysisPeruSurveys and QuestionnairesEQ-5DHealth valuationHeteroskedasticityQuality-adjusted life years (QALY)Scale heterogeneity

Identifiers

PMID36593473
PMCPMC9808950

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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.