The EQ-5D-3L Valuation Study in Pakistan

Background To utilize EQ-5D in economic evaluations, a societal-based value set is needed. To date, no value sets exist for any EQ-5D instrument in Pakistan. Previous EQ-5D studies conducted in Pakistan ‘borrowed’ health preferences developed in other countries. However, for a value set to be valid for Pakistani population, it should represent the preferences of the Pakistani population, and culture and living standards of Pakistan. Objective The aim of this study was to derive a Pakistani EQ-5D-3L value set. Methods A moderately representative sample aged 18 years and over was recruited from the Pakistani general population. A multi-stage stratified quota method with respect to ethnicity, gender, age and religion was utilized. Two elicitation techniques, the composite time trade-off (cTTO) and discrete choice experiments (DCE) were applied. Interviews were undertaken by trained interviewers using computer-assisted face-to-face interviews with the EuroQol Portable Valuation Technology (EQ-PVT) platform. To estimate the value set, a hybrid regression model combining cTTO and DCE data was used. Results A total of 289 respondents who completed the interviews were included for the analysis. The hybrid model correcting for heteroskedasticity without a constant was selected as the final model for the value set. It is shown that being unable to do usual activities (level 3) was assigned the largest weight, followed by mobility level 3, self-care level 3, pain/discomfort level 3 and anxiety/depression level 3. The worst health state was assigned the value − 0.171 in the final model. Conclusions A Pakistani country-specific EQ-5D-3L value set is now available. The availability of this value set may help promote and facilitate health economic evaluations and health-related quality-of-life (HRQoL) research in Pakistan..

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:7

Enthalten in:

PharmacoEconomics - open - 7(2023), 6 vom: 13. Sept., Seite 963-974

Sprache:

Englisch

Beteiligte Personen:

Malik, Madeeha [VerfasserIn]
Gu, Ning Yan [VerfasserIn]
Hussain, Azhar [VerfasserIn]
Roudijk, Bram [VerfasserIn]
Purba, Fredrick Dermawan [VerfasserIn]

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Volltext [kostenfrei]

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© The Author(s) 2023

doi:

10.1007/s41669-023-00437-8

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR054094941