Qiu, Yingpeng
ORCID: 0000-0002-8838-3493
(2026)
Improving Priority-Setting for Appropriate Health Technologies: An MCDA-Based Framework and Real-World Pilot in China.
PhD thesis, University of Sheffield.
Abstract
Aim: This thesis investigates how multi-criteria decision analysis (MCDA) can be integrated to improve the priority-setting process for the selection of Appropriate Health Technology (AHT) in China, with a focus on supporting the National Appropriate Health Technology List (NAHTL) and a related pilot program.
Background: Systematic priority-setting remains underdeveloped in China’s AHT programmes, with challenges including unclear definitions, inconsistent criteria, and limited structure for trade-offs and uncertainty. MCDA offers a transparent and consistent approach for complex health decisions.
Methods: A mixed-methods design was adopted, including systematic and narrative reviews, a case study, stakeholder interviews, and an applied pilot. Key components were: (1) a systematic review of global HTA topic selection practices; (2) a narrative review of international appraisal frameworks; (3) a case study of current NAHTL practices; (4) a systematic review of provincial AHT selection; (5) stakeholder interviews to refine the AHT definition and criteria; (6) development of a refined conceptual framework (CF) and process guide using MCDA principles; and (7) a real-world pilot applying the CF to AI-assisted health technologies in Beijing.
Results: Findings showed substantial variation in international priority-setting practices and highlighted procedural weaknesses in the NAHTL process. Local evidence and interview insights emphasised the need to clarify AHT definitions, separate costs from benefits, and integrate value-for-money and uncertainty handling. The refined CF addresses these gaps by defining the object of selection, establishing appropriate criteria, and structuring trade-offs. The pilot confirmed feasibility and acceptability while noting practical challenges such as time and familiarity.
Conclusions: An MCDA-informed framework can improve the consistency, transparency, and evidence base of AHT priority-setting in China. The CF and process guide provide practical tools for institutionalising better decision-making and may offer insights to other low- and middle-income countries (LMICs) for strengthening HTA under resource constraints.
Metadata
| Supervisors: | Praveen, Thokala and Simon, Dixon and Robert, Marchand |
|---|---|
| Keywords: | priority setting; health technology assessment; multi-criteria decision analysis;China |
| Awarding institution: | University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Health (Sheffield) > School of Health and Related Research (Sheffield) |
| Date Deposited: | 05 May 2026 08:04 |
| Last Modified: | 05 May 2026 08:04 |
| Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:38648 |
Download
Final eThesis - complete (pdf)
Embargoed until: 5 May 2027
Please use the button below to request a copy.
Filename: Final version-Yingpeng Qiu thesis.pdf
Export
Statistics
Please use the 'Request a copy' link(s) in the 'Downloads' section above to request this thesis. This will be sent directly to someone who may authorise access.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.