ArticleHealth policy and planning2023
Procedural fairness in benefit package design: inclusion of pre-exposure prophylaxis of HIV in Universal Coverage Scheme in Thailand.
Article in Health policy and planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- PrEP Use and Willingness Cascades Among Transgender Women in 11 Asian Countries: Findings From the PrEP APPEAL Cross-Sectional Online Survey.Journal of the International AIDS Society · 2026Article
- Procedural fairness in health financing for universal health coverage: why, what and how.Health policy and planning · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Since 2002, Thailand's Universal Coverage Scheme (UCS) has adopted a comprehensive benefits package with few exclusions. A positive-list approach has gradually been applied, with pre-exposure prophylaxis (PrEP) of HIV recently being included. Disagreements resulting from competing values and diverging interests necessitate an emphasis on procedural fairness when making any decisions. This qualitative study analyses agenda setting, policy formulation and early implementation of PrEP from a procedural fairness lens. Literature reviews and in-depth interviews with 13 key stakeholders involved in PrEP policy processes were conducted. Civil society organizations (CSOs) and academia piloted PrEP service models and co-produced evidence on programmatic feasibility and outcomes. Through a broad stakeholder representation process, the Department of Disease Control proposed PrEP for inclusion in UCS benefits package in 2017. PrEP was shown to be cost-effective and affordable through rigorous health technology assessment, peer review, use of up-to-date evidence and safe-guards against conflicts of interest. In 2021, Thailand's National Health Security Board decided to include PrEP as a prevention and promotion package, free of charge, for the populations at risk. Favourable conditions for procedural fairness were created by Thailand's legislative provisions that enable responsive governance, notably inclusiveness, transparency, safeguarding public interest and accountable budget allocations; longstanding institutional capacity to generate local evidence; and implementation capacity for realisation of procedural fairness criteria. Multiple stakeholders including CSOs, academia and the government deliberated in the policy process through working groups and sub-committees. However, a key lesson from Thailand's deliberative process concerns a possible 'over interpretation' of conflicts of interest, intended to promote impartial decision-making, which inadvertently limited the voices of key populations represented in the decision processes. Finally, this case study underscores the value of examining the full policy cycle when assessing procedural fairness, since some stages of the process may be more amenable to certain procedural criteria than others.
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Registered trials
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.