Abstract
Objectives
Valuation studies generate utility values for health states using stated preference methods. These studies are complex and resource-intensive, posing implementation challenges in low- and middle-income countries (LMICs). This review aimed to examine how valuation studies in LMICs have navigated these challenges.
Methods
A scoping review was conducted, with database (MEDLINE, EMBASE, and CINAHL) and gray literature searches performed between April and June 2024. Inclusion was limited to valuation studies in LMICs using generic or disease-specific instruments and stated preference techniques with adult respondents and published in English. Results were narratively synthesized.
Results
A total of 36 studies from 22 LMICs were included. Studies were conducted across low (n = 2), lower-middle (n = 11), and upper middle-income countries (n = 9). Half were published since 2020. There were 33 studies that developed nationally representative value sets, 2 of which were based on patient preferences. Two pilot studies and 1 cancer-specific value set were also included. The EQ-5D-5L was used most (n = 16), followed by the EQ-5D-3L (n = 14), Short Form-6 Dimension (n = 4), Chinese medicine Quality of life-11 Dimensions (n = 1), and European Organization for Research and Treatment of Cancer-8 dimension (n = 1). Methodological adaptations included “lite” protocols, portable tools, and crosswalk methodology. Comprehension aids were reported in 11 studies; 5 included illiterate participants, and 7 were conducted in multiple languages.
Conclusions
Valuation studies are increasing rapidly in LMICs, and there is growing experimentation to reduce resource demands and enhance inclusivity. Although this is promising, the resource demands of valuation studies still limit their implementation in low-income settings. Therefore, these countries may still find it more cost-efficient to adapt value sets from neighboring countries rather than develop their own.
Authors
Thomas Gadsden Janine Verstraete Audrey Moyo Stanley Carries Nokwanda Sithole Eugene Lee Davids Donela Besada Blake Angell Stephen Jan Darshini Govindasamy