Objective: Recent years have witnessed an increased interest in the use of multicriteria decision analysis (MCDA) to support health technology assessment (HTA) agencies for setting healthcare priorities. However, its implementation to date has been criticized for being "entirely mechanistic," ignoring opportunity costs, and not following best practice guidelines. This article provides guidance on the use of MCDA in this context. Methods:The present study was based on a systematic review and consensus development. We developed a typology of MCDA studies and good implementation practice. We reviewed 36 studies over the period 1990 to 2018 on their compliance with good practice and developed recommendations. We reached consensus among authors over the course of several review rounds. Results:We identified 3 MCDA study types: qualitative MCDA, quantitative MCDA, and MCDA with decision rules. The types perform differently in terms of quality, consistency, and transparency of recommendations on healthcare priorities. We advise HTA agencies to always include a deliberative component. Agencies should, at a minimum, undertake qualitative MCDA. The use of quantitative MCDA has additional benefits but also poses design challenges. MCDA with decision rules, used by HTA agencies in The Netherlands and the United Kingdom and typically referred to as structured deliberation, has the potential to further improve the formulation of recommendations but has not yet been subjected to broad experimentation and evaluation. Conclusion:MCDA holds large potential to support HTA agencies in setting healthcare priorities, but its implementation needs to be improved.
Multi-criteria decision analysis (MCDA) is increasingly used to support decisions in healthcare involving multiple and conflicting criteria. Although uncertainty is usually carefully addressed in health economic evaluations, whether and how the different sources of uncertainty are dealt with and with what methods in MCDA is less known. The objective of this study is to review how uncertainty can be explicitly taken into account in MCDA and to discuss which approach may be appropriate for healthcare decision makers. A literature review was conducted in the Scopus and PubMed databases. Two reviewers independently categorized studies according to research areas, the type of MCDA used, and the approach used to quantify uncertainty. Selected full text articles were read for methodological details. The search strategy identified 569 studies. The five approaches most identified were fuzzy set theory (45 % of studies), probabilistic sensitivity analysis (15 %), deterministic sensitivity analysis (31 %), Bayesian framework (6 %), and grey theory (3 %). A large number of papers considered the analytic hierarchy process in combination with fuzzy set theory (31 %). Only 3 % of studies were published in healthcare-related journals. In conclusion, our review identified five different approaches to take uncertainty into account in MCDA. The deterministic approach is most likely sufficient for most healthcare policy decisions because of its low complexity and straightforward implementation. However, more complex approaches may be needed when multiple sources of uncertainty must be considered simultaneously.Electronic supplementary materialThe online version of this article (doi:10.1007/s40273-014-0251-x) contains supplementary material, which is available to authorized users.
Background Having to pay out-of-pocket for health care can be prohibitive and even cause financial catastrophe for patients, especially those with low and irregular incomes. Health services at Government-owned hospitals in Malawi are provided free of charge but patients do incur costs when they access facilities and some of them forego income. This research paper presents findings on the direct and indirect expenditure incurred by patients who underwent hernia surgery at district and central hospitals in Malawi. It reports the main cost drivers, how costs relate to patients’ household incomes, the financial burden of undergoing surgery and the extent to which hernia patients had recovered and restored their capacity to work and earn an income. Materials and methods Using a cross-sectional study design, surveys were held with patients who had undergone hernia surgery in four district and two central hospitals in Malawi. Interviews were conducted by surgically trained clinical officers, trained in survey administration, and included, inter alia, questions about patients’ hospital stay, the direct and indirect cost they incurred in accessing surgery, and how they financed the expenditure. Follow-up interviews by telephone were held 8–10 weeks after discharge. Results The sample included 137 patients from district and 86 patients from central hospitals. The main direct cost drivers were transport and food & groceries. More than three quarters of patients who had their surgery at a district hospital incurred indirect costs, because of income lost due to hospital admission, compared with just over a third among central hospital patients. Median reported income losses were US$ 90 and US$ 71, respectively. Catastrophic expenditure for surgery occurred in 94% of district and 87% of central hospital patients. When indirect costs are added to the out-of-pocket expenditure, it constituted more than 10% of the monthly per capita income for 97% and 90% of the district and central hospital patients, respectively. Conclusion Out-of-pocket household expenditure associated with essential surgery in Malawi is high and in many instances catastrophic, putting households, especially those who are already poor, at risk of further impoverishment. The much needed scaling-up of surgical services in rural areas of Malawi needs to be accompanied by financial risk protection measures.
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