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Identifying priority technical and context-specific issues in improving the conduct, reporting and use of health economic evaluation in low- and middle-income countries
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BACKGROUND: The use of economic evaluation in healthcare policies and decision-making, which is limited in low- and middle-income countries (LMICs), might be promoted through the improvement of the conduct and reporting of studies. Although the literature indicates that there are many issues affecting the conduct, reporting and use of this evidence, it is unclear which factors should be prioritised in finding solutions. This study aims to identify the top priority issues that impede the conduct, reporting and use of economic evaluation as well as potential solutions as an input for future research topics by the international Decision Support Initiative and other movements. METHODS: A survey on issues regarding the conduct, reporting and use of economic evaluation as well as on potential solutions was conducted using an online questionnaire among researchers who have experience in conducting economic evaluations in LMICs. The respondents were requested to consider the list of issues provided, rank the most important ones and propose solutions. A scoring system was applied to derive the ranking of difficulties according to researchers' responses. Issues were grouped into technical and context-specific difficulties and analysed separately as a whole and by region. RESULTS: Researchers considered the lack of quality local clinical data, poor reporting and insufficient data to conduct the analysis from the chosen perspective as the most important technical difficulties. On the other hand, the non-integration of economic evaluations into decision-making was considered the most important context-specific issue. Finally, context-specific issues were considered the larger barrier to the use of economic evaluation. CONCLUSION: The technical issues that were considered most important were closely linked with the lack of an appropriately functioning information system as well as the capacity to generate essential contextual information (e.g. data and locally relevant utility values), especially when the methodology is complex. To overcome this, simpler approaches to collect data that yields information of comparable quality to more rigorous methods should be developed. The international community can play a major role through research on methodologies feasible for LMIC settings as well as in building research capacity in countries. Context-specific issues, which were recognised as larger barriers, should be improved in parallel.
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Research into how context shapes resource use and outcomes is underdeveloped.
“Research into how context shapes resource use and outcomes, however, is underdeveloped. 460,461”
From The Lancet Psychiatry Commission on youth mental health (2024) · cites this paper as [460]
The Background says cost and quality-of-life data are context-specific and that available data may be of poor quality. The Results and Discussion also identify limited local research capacity and difficulty generating reliable local cost and health-related data. These passages support a shortage of context-relevant evidence in LMIC health economic evaluation, but do not specifically assess whether research into how context shapes resource use and outcomes is underdeveloped. (LLM, conf=0.76)
Experimental — accuracy not yet measuredAspects of the conduct and reporting of economic evaluations in low-resource settings create additional barriers to generalisability that can in part be addressed by funding more high-quality economic research in these contexts.
“As with health care more broadly, aspects of the conduct and reporting of economic evaluations in low-resource settings create additional barriers to generalisability 460 that can in part be addressed by funding more high-quality economic research in these contexts.”
From The Lancet Psychiatry Commission on youth mental health (2024) · cites this paper as [460]
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The Lancet Psychiatry Commission on youth mental health
McGorry, P. D., Mei, C., Dalal, N., Alvarez-Jimenez, M., Blakemore, S.-J., Browne, V., Dooley, B., Hickie, I. B., Jones, P. B., McDaid, D., et al. (2024) · The Lancet Psychiatry · doi:10.1016/s2215-0366(24)00163-9 · Cited by 663
Metadata
- Authors
- Luz, A., Santatiwongchai, B., Pattanaphesaj, J., & Teerawattananon, Y.
- Affiliations
- Health Intervention and Technology Assessment Program (TH)
- Ministry of Public Health (TH)
- Corresponding author
- Santatiwongchai, Benjarin
- Venue
- Health Research Policy and Systems
- Published
- 2018-02-05
- Volume
- 16
- Issue
- 1
- Pages
- 4-4
- ISSN
- 1478-4505 (ISSN-L)
- PMC
- PMC5800077
- OpenAlex
- W2795477621
- Cited by
- 37
- References
- 1
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2022: 8 · 2021: 11 · 2020: 2 · 2019: 4
- FWCI
- 6.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Health Research Policy and Systems (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Bill & Melinda Gates Foundation (OPP1134345)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Social Sciences › Public Administration › Evaluation and Performance Assessment
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Keywords
- health economic evaluation, low- and middle-income countries, health decision-making, health information systems, research capacity building, utility value
- MeSH terms
- Attitude, Cost-Benefit Analysis, Data Collection, Decision Making, Developing Countries, Economics, Medical, Health Policy, Humans, Income, Information Systems, Policy Making, Surveys and Questionnaires, Research Design, Research Personnel, Capacity Building, Research Report
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