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.

Background: Telemedicine is an expanded term in health information technology that comprises procedures for transmitting medical information electronically to improve patients’ health status. The objective of this research is to evaluate the cost-effectiveness of telemedicine interventions in various specialty areas. Methods: The Cochrane Library and Centre for Review and Dissemination were searched up to February 2013 using Mesh. Studies that compared any kind of telemedicine with any other routine care technique and used cost per health utility unit’s outcomes were included. Results: Twenty-one articles were included. According to the included studies, it seems that using telemedicine in cardiology can be effective and cost-effective enough but pre-hospital telemedicine diagnostics program are likely to have little impact on acute myocardial infarction fatality. In pulmonary, telemedicine can be a cost-effective strategy for delivering outpatient pulmonary care to rural populations which have limited access to specialized services, but telemedicine is not cost- effective in asthma and airways cancer. In ophthalmology, especially in the diagnosis of diabetic retinopathy, the use of telemedicine is a cost-effective tool. In dermatology, telemedicine is not cost-effective enough in comparison of conventional cares. In other fields such as physical activity and diet, eating disorder, tele-ICU, psychotherapy for depression and telemedicine on ships, telemedicine can be used as a cost-effective tool for treatments or cares. Conclusion: Most of the included studies confirmed that telemedicine is cost-effective for applying in major medical fields such as cardiology; but in dermatology, papers could not confirm the positive capability of telemedicine.

BackgroundIn recent times, the use of health technologies in the diagnosis and treatment of diseases experienced considerable and accelerated growth. The goal of the present study was to describe the designated pilot MCDM (Multiple Criteria Decision Making) model for priority setting of health technology assessment in Iran.MethodsRelevant articles were sought and retrieved from the most appropriate medical databases, including the Cochrane Library, PubMed and Scopus via three separate search strategies, using MESH and free text until March, 2015. Retrieved criteria were questioned from health technology assessment experts in two rounds and the relative weight for valid criteria was finally obtained from paired wise comparison method. After extraction of relative weights based on the aforementioned procedure, TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) priority setting model was designed. The stated model was applied for assessing three technologies (adenosine, tissue plasminogen activator and mechanical thrombectomy) which were available for projects call of Iranian health technology assessment department in order to determine applicability of the model for practical purpose.ResultsNine criteria, including efficiency/effectiveness, safety, population size, vulnerable population size, availability of alternative technologies, cost effectiveness in other countries, budget impact, financial protection, quality of evidence, were extracted by the Iranian health technology assessment experts. The relative weights of these criteria were as follows 0.12, 0.2, 0.06, 0.08, 0.08, 0.13, 0.08, 0.09, and 0.15, respectively. Finally TOPSIS pilot model was designed by three health technologies and nine criteria relative weights. Results showed that, the applicability of the stated model was suitable and as the pilot testing, tissue plasminogen activator was the first priority, adenosine was second and mechanical thrombectomy was third for performing health technology assessment by the Iranian ministry of health and medical education.ConclusionAccording to the results of this study, this model with nine effective criteria and their relative weights and in combination with TOPSIS approach could be used with suitable applicability by health technology assessment department in deputy of curative affairs and food and drug organization for determination of research priorities in health technology assessment.

The headcount ratio of the exposure to catastrophic health expenditures in urban and rural households was 2.5% (2.43% - 2.64%) and 3.6% (3.48% - 3.76%), respectively. The difference in households' income levels was the main contributor in explaining the inequality in facing catastrophic health expenditures between poor and nonpoor households. [Correction added on 02 June 2018, after first online publication: The "Results" section of the Abstract of the published article has been correctly updated on this version.] CONCLUSION: Even after implementing the HTP, the headcount ratios of catastrophic health expenditure are still considerable. The results show that income is the greatest determinant of inequality in facing catastrophic health expenditure and in urban households.

Introduction The objective of this study is to conduct an assessment of Remote Patient Monitoring (RPM) systems compared to usual care for controlling glycosylated hemoglobin in type 2 diabetes. Methods The study was a systematic review with meta-analysis and meta-regression. A systematic search was performed via the most important electronic databases of medical resources, such as PubMed, Scopus and Cochrane library. The main outcome was HbA1C. The heterogeneity sources were examined using Chi-square (Q) and I2 tests. Meta-analyses were done using Stata version 11 software. Statistical significance was defined as P < 0.05. Random effects model was used in meta-analysis, and the heterogeneity more than 50% was considered as significant. ResultsThe results of the systematic review and meta-analysis indicated that the effect size index (Difference of Pre-test/Post-test Control Design-2nd method "using pooled pretest SD" (DPPC2)) among users of RPM for type 2 diabetic patients was −0.32 with a confidence interval of 95% (from −0.45 to −0.19) as compared to the control group. The current study declared a vital role of RPM technology in reduction of hemoglobin glycogen levels. The results of the subgroup analysis showed that RPM is more effective for patients who are residents of cities, having intervention lengths less than 6 months, getting the orders from the physician and using the websites as their intervention type. Conclusion The current study indicted the efficacy of RPM in reducing HbA1c among type 2 diabetic patients, which could be a base for policymakers to decide on the introduction of this technology in Iran.