Developing a decision support system to link health technology assessment (HTA) reports to the health system policies in Iran

2017
The recent increase of 'Health Technology Assessment' (HTA)-related activities in Iran has necessitated the clarification of policy-making process based on the HTA reports. This study aimed to develop a Decision Support System (DSS) in order to adopt evidence-informed policies regarding health technologies in Iran. The study can be classified as Health Policy and Systems Research. A core panel of seven experts conducted two separate reviews of relevant literature for: 1- Determining the potential technology-related policies. 2- Listing the criteria influencing those policy decisions. The policies and criteria were separately discussed and subsequently rated for appropriateness and necessity during two expert meetings in 2013. In the next step, The 'Discrete Choice Experiment' (DCE) method was employed to develop the DSS for the final technology-related policies. Accordingly, the core panel members independently rated the appropriateness of each policy for 30 virtual technologies based on the random values assigned to all the criteria for each technology. The obtained data for each policy were separately analysed using stepwise regression model, resulting in a minimal set of independent and statistically significant criteria contributing in the experts' judgments about the appropriateness of that policy. The obtained regression coefficients were used as the relative weights of the different levels of the final criteria of any policy statement, shaping the decision support scoring tool for each policy. The study has outlined 64 policy decisions under 7 macro policy areas concerning a health technology. Also, 34 criteria used for making those policy decisions have been organized within a portfolio. DCE, using stepwise regression, resulted in 64 scoring tools shaping the DSS for all HTA-related policies. Both the results and methodology of the study may serve as a guide for policy makers (researchers), particularly in low and middle income countries, in developing decision aids for their own context-specific HTA-related policies.
HEALTH POLICY AND PLANNING
页码:504-515|卷号:32|期号:4
ISSN:0268-1080
收录类型
SSCI
发表日期
2017
学科领域
循证公共卫生
国家
伊朗
语种
英语
DOI
10.1093/heapol/czw160
其他关键词
DISCRETE-CHOICE EXPERIMENT; COVERAGE DECISIONS; EVIDEM FRAMEWORK; CARE-SYSTEM; REAL-WORLD; PRINCIPLES; CRITERIA; INTERVENTIONS; INTEGRATION; COUNTRIES
EISSN
1460-2237
资助机构
Iranian 'Ministry of Health and Medical Education' (MOHME) at the 'Shahid-Beheshti university of Medical Sciences' [1393-1-172-1290]
资助信息
This research was funded through the grant no#1393-1-172-1290 from the Iranian 'Ministry of Health and Medical Education' (MOHME) at the 'Shahid-Beheshti university of Medical Sciences'. The views and opinions stated in the article are those of the authors and do not necessarily reflect the views of Iranian MOHME or Government.
被引频次(WOS)
1
被引更新日期
2022-01
来源机构
Shahid Beheshti University Medical Sciences Shahid Beheshti University Medical Sciences
关键词
Health policy and systems research health technology assessment decision support system Iran discrete choice experiment