Cost-effectiveness analysis of seasonal influenza vaccination during pregnancy: A systematic review.

BACKGROUND: Seasonal influenza vaccination is clinically important and reduces hospitalization costs for pregnant women. However, is it also a cost-effective intervention? METHOD: We conducted a systematic search of Medline (via PUBMED), EMBASE, SCOPUS, and Web of Science databases. We included any economic evaluation studies that reported Incremental Cost-Effectiveness Ratios for vaccinating pregnant women against influenza. RESULT: Out of 927 potentially eligible articles, only 14 full texts met our inclusion criteria. In almost all studies, vaccinating pregnant women was a cost-effective and cost-saving strategy. In one study, it was not cost-effective when the researchers used costs and probabilities related to other groups (healthy adults) due to the lack of data for pregnant women. The main factors influencing the cost-effectiveness of the studies were vaccine efficacy and vaccination cost. CONCLUSION: Influenza vaccination of pregnant women is a cost-effective intervention. More studies on the cost-effectiveness of this intervention in underdeveloped countries are needed.

A national survey of Iranian general population to estimate a value set for the EQ-5D-5L.

OBJECTIVES: The main aim of this study is to estimate a national value set of the EQ-5D-5L questionnaire for Iran. METHODS: The composite time trade-off (cTTO) and discrete choice experiment (DCE) methods; and the protocol for EuroQol Portable Valuation Technology (EQ-PVT) were used to estimate the Iran national value set. 1179 face-to-face computer-assisted interviews were conducted with adults that were recruited from five Iran major cities in 2021. Generalized least squares, Tobit, heteroskedastic, logit, and hybrid models were used to analyze the data and to identify the best fitting model. RESULTS: According to the logical consistency of the parameters, significance levels and prediction accuracy indices of the MAE; a heteroscedastic censored Tobit hybrid model combining cTTO and DCE responses was considered as the best fitting model to estimate the final value set. The predicted values ranged from - 1.19 for the worst health state (55555) to 1 for full health (11111), with 53.6% of the predicted values being negative. Mobility was the most influential dimension on health state preference values. CONCLUSIONS: The present study estimated a national EQ-5D-5L value set for Iranian policy makers and researchers. The value set enables the EQ-5D-5L questionnaire to use to calculate QALYs to assist the priority setting and efficient allocation of limited healthcare resources.

Hospital efficiency in the eastern mediterranean region: A systematic review and meta-analysis.

Background: Recent rising costs and shortages of healthcare resources make it necessary to address the issue of hospital efficiency. Increasing the efficiency of hospitals can result in the better and more sustainable achievement of their organizational goals. Objective: The purpose of this research is to examine hospital efficiency in the Eastern Mediterranean Region (EMR) using data envelopment analysis (DEA). Methods: This study is a systematic review and meta-analysis of all articles published on hospital efficiency in Eastern Mediterranean countries between January 1999 and September 2020, identified by searching PubMed through MEDLINE, Web of Science, Scopus, Science Direct, and Google Scholar. The reference lists of these articles were checked for additional relevant studies. Finally, 37 articles were selected, and data were analyzed through Comprehensive Meta-Analysis Software (v.2.2.064). Results: Using the random-effects model, the mean hospital efficiency in Eastern Mediterranean hospitals was 0.882 ± 0.01 at 95% CI. Technical efficiency (TE) was higher in some countries such as Iraq (0.976 ± 0.035), Oman (0.926 ± 0.032), and Iran (0.921 ±0.012). A significant statistical correlation was observed between the hospital efficiency and the year of publication and sample size (p < 0.05). Conclusion: Efficiency plays a significant role in hospital growth and development. Therefore, it is important for healthcare managers and policymakers in the EMR to identify the causes of inefficiency, improve TE, and develop cost-effective strategies.

Weight of Risk Factors for Adjusting Capitation in Primary Health Care: A Systematic Review.

Background: Capitation payment is the best-known strategy for paying providers in primary health care. Since health care needs and personal characteristics play an essential role in health care utilization and resource spending, there is a growing tendency on risk adjustment models among health researchers. The objective of this systematic review was to examine the weights used for risk adjustment in primary health care capitation payment. Methods: We systematically searched Scopus, ProQuest, Web of Science, and PubMed in March 2018. Two authors independently apprised the included articles and they also evaluated, identified, and categorized different factors on capitation payments mentioned in the included studies. Results: A total of 742 studies were identified and 12 were included in the systematic review after the screening process. Risk factors for capitation adjustment included age, gender, and income with the weighted average being 1.76 and 1.03, respectively. Moreover, the weighted average disease incidence adjusted clinical groups (ACGs), diagnostic cost groups (DCGs), principal in patient diagnostic cost groups (PIP-DCGs), and hierarchical coexisting conditions (HCCs) were reported as 1.31, 24.7-.99, 10.4-.65, and 11.7-1.01, respectively. Conclusion: In low-income countries, the most effective factors used in capitation adjustment are age and sex. Moreover, the most applied factor in high-income countries is adjusted clinical groups, and income factors can have a better impact on the reduction of costs in low-income countries. Each country can select its most efficient factors based on the weight of the factor, income level, and geographical condition.

A systematic review and meta-analysis of studies on screening for mild cognitive impairment in primary healthcare.

BACKGROUND: Cognitive disorders and dementia have an important effect on individual independence and orientation. According to the Alzheimer's Disease International (ADI) 75% of people with dementia are not diagnosed; this may be as high as 90% in some low- and middle-income countries. This systematic review and meta-analysis aimed to identify the test performance of screening tools and compare them pairwise. The findings of our study can support countries in planning to establish and care for mild cognitive impairment in primary health centers. METHODS: Medline (PubMed), Scopus, Cochrane, Dare, All EBM Reviews, CRD (OVID), and Proquest were searched from 2012 to November 2021. The risk of bias was assessed through the QUADAS-2 instrument. Given the high heterogeneity between studies, a random-effects model was used to calculate the pooled effect sizes for diagnostic accuracy measures (sensitivity, specificity, and area under curve indices). I2 test was used for assessing heterogeneity and predefined subgroup analyses were performed using participants' age, country's income, and sample size of studies. RESULTS: A systematic search identified 18,132 records, of which, 20 studies were included in the quality assessment, and six were included in quantitative analysis. None of the studies had examined the feasibility or efficiency of mass screening. According to a pairwise comparison, IQCODE, AD8 and GPCOG showed equal or better diagnostic performance relative to the MMSE in terms of sensitivity and specificity. The random-effect model for the MMSE showed the pooled sensitivity equal to 0.73 (95% CI 0.57-0.90), the pooled specificity equal to 0.83 (95% CI 0.75-0.90), and the pooled AUC equal to 0.88 (95% CI 0.83-0.93). CONCLUSION: Several benefits have been attached to short tests making them a suitable choice for use in primary healthcare settings. Considering factors such as accuracy, time of application, ease of scoring, and utilization charges, tests such as IQCODE, AD8, and GPCOG or appropriate combination with counterpart tools seem to be good alternatives to the use of the MMSE in primary care.

Effectiveness of endovascular versus open surgical repair for thoracic aortic aneurysm: a systematic review and meta-analysis.

INTRODUCTION: Since the approval, the thoracic endovascular aortic repair (TEVAR) is widely used for the repair of thoracic aortic aneurysm. However, the long-term mortality and re-intervention rates compared to open surgical repair (OSR) are unclear. We aimed to compare the effectiveness of TEVAR with OSR specifically for thoracic aortic aneurysms. EVIDENCE ACQUISITION: We conducted a comprehensive search in MEDLINE, PubMed, EMBASE, CINAHL, PROSPERO, Centre for Reviews and Dissemination, and the Cochrane Library up to November 2020. The main outcomes were early mortality, mid-to-long-term survival, and re-intervention. The quality of the evidence was assessed using the GRADE methodology. All analyses were performed using RevMan with the random effect model and Comprehensive Meta-Analysis software. EVIDENCE SYNTHESIS: One systematic review and 15 individual studies were included. Pooled analysis showed that 30-day mortality, stroke, renal failure, and pulmonary complications were significantly lower in TEVAR versus open surgery. The pooled rate of re-intervention significantly favored the OSR. The long-term survival and mortality favored TEVAR and OSR in one and two studies, respectively, but was non-significant in seven analyzes. CONCLUSIONS: Early clinical outcomes including the 30-day mortality, stroke, renal failure, and pulmonary complications significantly favored the TEVAR. However, the mid-to-long-term re-intervention rate favored the OSR and long-term survival was inconsistent among the studies. The quality of evidence was very low. More studies with longer follow-ups are needed. The use of TEVAR should be decided by taking into account other factors including patient characteristics and preferences, cost, and surgeon expertise.

Medicine storage, wastage, and associated determinants among urban households: a systematic review and meta-analysis of household surveys.

BACKGROUND: Irrational household storage of medicines is a world-wide problem, which triggers medicine wastage as well as its associated harms. This study aimed to include all available evidences from literature to perform a focused examination of the prevalence and factors associated with medicine storage and wastage among urban households. This systematic review and meta-analysis mapped the existing literature on the burden, outcomes, and affective socio-economic factors of medicine storage among urban households. In addition, this study estimated pooled effect sizes for storage and wastage rates. METHODS: Household surveys evaluating modality, size, costs, and affective factors of medicines storage at home were searched in PubMed, EMBASE, OVID, SCOPUS, ProQuest, and Google scholar databases in 2019. Random effect meta-analysis and subgroup analysis were used to pool effect sizes for medicine storage and wastage prevalence among different geographical regions. RESULTS: From the 2604 initial records, 20 studies were selected for systematic review and 16 articles were selected for meta-analysis. An overall pooled-prevalence of medicine storage and real wastage rate was 77 and 15%, respectively. In this regard, some significant differences were observed between geographical regions. Southwest Asia region had the highest storage and wastage rates. The most common classes of medicines found in households belonged to the Infective agents for systemic (17.4%) and the Nervous system (16.4%). Moreover, income, education, age, the presence of chronic illness, female gender, and insurance coverage were found to be associated with higher home storage. The most commonly used method of disposal was throwing them in the garbage. CONCLUSIONS: Factors beyond medical needs were also found to be associated with medicine storage, which urges effective strategies in the supply and demand side of the medicine consumption chain. The first necessary step to mitigate home storage is establishing an adequate legislation and strict enforcement of regulations on dispensing, prescription, and marketing of medicines. Patient's pressure on excessive prescription, irrational storage, and use of medicines deserve efficient community-centered programs, in order to increase awareness on these issues. So, hazardous consequences of inappropriate disposal should be mitigated by different take back programs, particularly in low and middle income countries.

Cost-effectiveness analysis of lung cancer screening with low-dose computed tomography in an Iranian high-risk population.

OBJECTIVE: The results of recent studies have shown that using low-dose computed tomography (LDCT) for screening of lung cancer (LC) improves cancer outcomes. The objective of the current study was to evaluate the cost-effectiveness of LDCT in an Iranian high-risk population. METHODS: A Markov cohort simulation model with four health states was used to evaluate the cost-effectiveness of LDCT from a healthcare system perspective in the people aged 55-74 who smoked 25 or more cigarettes per day for 10-30 years. Cost data were collected, reviewing 324 medical records of patients with LC, and utilities and transition probabilities were extracted from the literature. The Monte Carlo simulation method was applied to run the model. Probabilistic sensitivity analysis and one-way analysis were also performed. RESULTS: LC screening in comparison to a no-screening strategy was costly and effective. The incremental cost-effectiveness ratio of screening versus no-screening was IRR (Iranian rials) 98,515,014.04 which falls below the Iranian threshold of three times GDP (gross domestic product) per capita. One-way and probabilistic sensitivity analyses demonstrated that the results of the economic analysis were robust to variations in the key inputs for both. CONCLUSIONS: Using LDCT for screening of LC patients in a high-risk population is a cost-effective strategy.

Direct and Indirect Costs Associated with Coronary Artery (Heart) Disease in Tabriz, Iran.

PURPOSE: Cardiovascular diseases (CVDs) are the major causes of mortalities worldwide. This study was conducted to evaluate the direct and indirect costs of coronary artery disease (CAD) in Iran. PATIENTS AND METHODS: This is a prevalence-based cost-of-illness (COI) study that estimates the direct and indirect costs of CAD. The study conducted over a six-month period from April to September in 2017. Patients were recruited from Madani hospital in Tabriz, Iran. A total of 379 patients were investigated from societal perspective. Direct costs were estimated using the bottom-up costing approach and indirect costs were estimated using the Human Capital (HC) approach. A generalized linear model of regression was used to explore the relation between total cost and socio-demographic variables. The total annual mean cost was compared to Gross Domestic Product (GDP) per capita which was reported in the form of Purchasing Power Parity (PPP) index. To deal with uncertainty, one-way sensitivity analysis was performed. RESULTS: Total costs per patient in one year were estimated to be IRR 63452290.17 ($PPP 7736.19) at a 95% confidence interval (58191511.73-68713068.60), the biggest part of which is related to direct medical costs with IRR 33884019.53 per year ($PPP 4131.18) (54%). Direct non-medical costs were estimated IRR 1655936.68 ($PPP 201.89) per patient (2%) and indirect costs were estimated IRR 27912333.97 per patient ($PPP 3403.11) (44%), which 62% of indirect costs is related to patients' work absenteeism. CONCLUSION: This study estimates the direct (56%) and indirect (44%) costs associated with CAD. The study explores the essential drivers of the costs and provides the magnitude of the burden in terms of the share of GDP. The outcomes can be used in priority setting, in particular for cost benefit analysis, and adopting new policies regarding insurance coverage and equity issues.

A Systematic Review of Screening Tests for Chronic Kidney Disease: An Accuracy Analysis.

This systematic review was conducted to assess the diagnostic accuracy of chronic kidney disease screening tests in the general population. MEDLINE, EMBASE, Web of Science, Scopus, The Cochrane Library and ProQuest databases were searched for English-language publications up to November 2016. Two reviewers independently screened studies and extracted study data in standardized tables. Methodological quality was assessed using the QUADAS-2 tool. Sensitivity and specificity of all available screening methods were identified through included studies. Ten out of 1349 screened records included for final analysis. Sensitivities of the dipstick test with a cutoff value of trace were ranged from 37.1% to 69.4% and specificities from 93.7% to 97.3% for the detection of ACR>30 mg/g. The diagnostic sensitivities of the UAC>10 mg/dL testing was shown to vary from 40% to 87%, and specificities ranged from 75% to 96%. While the sensitivities of ACR were fluctuating between 74% and 90%, likewise the specificities were between 77% and 88%. Sensitivities for C-G, Grubb and Larsson equations were 98.9%, 86.2%, and 70.1% respectively. In the meantime the study showed specificities of 84.8%, 84.2% and 90.5% respectively for these equations. Individual studies were highly heterogeneous in terms of target populations, type of screening tests, thresholds used to detect CKD and variations in design. Results pointed to the superiority of UAC and dipstick over the other tests in terms of all parameters involved. The diversity of methods and thresholds for detection of CKD, necessitate considering the cost parameter along with the effectiveness of tests to scale-up an efficient strategy.

Private and social time preference for health outcomes: A general population survey in Iran.

Despite the recent increase in economic evaluations of health care programs in low and middle income countries, there is still a surprising gap in evidence on the appropriate discount rate and the discounting of health outcomes such as quality adjusted life years (QALYs). Our study aimed to calculate the implied time preference rate for health outcomes in Iran and its key determinants. Data were gathered from one family member from each of the 650 households randomly selected in Tehran. The respondents' private and social preferences for health outcomes were calculated using the time trade-off (TTO) technique based on the discounted utility model. We investigated the main assumptions of the discounted utility model through equality of mean comparison, and the association between private time preference and key socio-economic determinants using multilevel regression analysis. The mean and median implied rates were 5.8% and 4.9% for private time preference and 25.6% and 20% for social time preference respectively. Our study confirmed that magnitude, framing and time effects have a significant impact on implied discount rates, which means that the conventional discounted utility model's main assumptions are violated in the Iranian general population. Other models of discounting which apply lower rates for far health outcomes might provide a more sensible solution to discounting health interventions with long-term impacts.

Development of age-sex adjusted capitation payment: The experience of Iranian public health complexes.

BACKGROUND: Flat capitations are not necessarily able to compensate health providers equitably due to the variability of resource consumption among different age and sex groups. The aim of this study is to develop a risk adjusted capitation formula as a base for primary health care payment in Health Complexes of Tabriz, in Iran. METHOD: This cross-sectional study was conducted in four stages: (1) determining health service package, (2) calculating unit cost of services, (3) estimating service utilization, and (4) calculating age/sex weighted capitation. We calculated unit cost of services with and without building and equipment expenses. Data collection was carried out through a data extraction checklist. Data management and analysis was carried out via Microsoft Excel 2007. RESULT: A list of 99 services and their processes were identified and then assigned each to one of 10 categories according to their resource consumption. The lowest and highest unit cost, respectively, belonged to prenatal care and group training by family physicians. The risk adjusted capitation was calculated with and without renting cost of building and equipment, respectively, 347 000 and 332 000 Rials (1 US$ worth 35 000 Iranian Rials). CONCLUSION: The development of health risk adjusted capitation could improve equity in payment system and the efficiency of delivering primary health care services. Estimated weights proposed with our study can be adapted then applied in contexts with similar characteristics.

A systematic review of effectiveness and economic evaluation of Cardiohelp and portable devices for extracorporeal membrane oxygenation (ECMO).

In recent years, there have been substantial advancements in the development of different technologies for extracorporeal membrane oxygenation (ECMO) for in-hospital and out of hospital applications. However the effectiveness of these devices is not clearly known. The objective of this study was to evaluate the cost-effectiveness of Cardiohelp compared to other portable ECMO devices. In this systematic review, we searched Medline (via Ovid), Embase, Pubmed, Cochrane Library, SCOPUS, CRD and NICE. Articles were assessed by two independent reviewers for eligibility and quality of the evidence. Studies which compared Cardiohelp to other ECMO devices were included. Seven out of 1316 publication were included in this review, three of them were clinical trials and four were observational studies. The majority of the studies had limited quality. According to the measures of safety, Cardiohelp had safer technological features, but on the other hand, was more complex to use. Considering the effectiveness, Cardiohelp was not statistically different from other technologies. Cardiohelp showed slightly better performance than Centrimag in terms of cost per patient and cost-effectiveness. However, when clinical criteria were used to select the patients with good prognosis to administer the ECMO, incremental cost utility ratios (ICURs) for both Cardiohelp and Centrimag were below the level of willingness-to-pay threshold. According to the measures of safety and effectiveness, ECMO with Cardiohelp was not considerably different from other evaluated technologies. Moreover, ECMO with Cardiohelp or Centrimag can be considered cost-effective, provided that the patients are selected carefully in terms of neurological outcomes.

The Study of Effective Factors on Iran's Pharmaceutical Export Supply and Demand.

The importance of drug as a valuable export product in the global economy becomes clearer every day. Understanding the problems of exports and factors affecting it, can be an important step to keep Iran's position in the world markets and further export development of this product. In this study, Iranian pharmaceutical exports' supply and demand functions were calculated using co-integration and error correction techniques through time series quarterly data of 2000-2014 in order to identify the factors affecting pharmaceutical exports (short run and long run relationships among the variables) and price and income elasticities. The long run price elasticity of demand of -2.28 indicates that an increase in Iran's export price relative to competitor's export price will have a negative impact on pharmaceutical export volume. Also, the long run income elasticity of foreign demand for pharmaceutical exports of Iran is 1.11. That is an increase in income of foreign countries will have a positive impact on Iran's pharmaceutical export. On the other hand, the long run price elasticity of export supply is 1.09, indicating that the supply of pharmaceutical export is sensitive to the relative price changes. In other words, an increase in export price relative to domestic price as well as an expansion of the pharmaceutical production capacity will increase its export supply. Being aware of the factors affecting the pharmaceutical exports can prepare the ground to develop the pharmaceutical industry and balance the supply and demand in the long run. Therefore, the results of this study can help Iran's policymakers and managers to choose a clearer path for the pharmaceutical trade policies.

Comparison of SF-6D and EQ-5D Scores in Patients With Breast Cancer.

BACKGROUND: Utility values are a key component of a cost-utility analysis. The EQ-5D and SF-6D are two commonly used measures for deriving utilities. Of particular importance is assessing the performance of these instruments in terms of validity. OBJECTIVES: This study aimed to compare the performance of the EQ-5D and the SF-6D in different states of breast cancer. PATIENTS AND METHODS: This was a cross-sectional study of 163 patients with breast cancer who attended the breast cancer subspecialty clinic affiliated with the breast cancer research center (BCRC) at ACECR, in Tehran, Iran, and were consecutively recruited. Patients completed several questionnaires, including the EQ-5D, SF-36, and general questions regarding their demographic characteristics. Utility values for different states of breast cancer were obtained using predetermined algorithms for the EQ-5D and SF-6D. The distribution of the utility values and the differences between the different states for both instruments were statistically assessed. Furthermore, the agreement between the two instruments was evaluated using intra-class correlation coefficients and Bland-Altman plots. RESULTS: The mean and median EQ-5D utility scores for the total sample were 0.685 and 0.761, respectively. The mean SF-6D utility score for the total sample was 0.653, and the median utility score was 0.640. The mean utility values of the EQ-5D for "state P," "state R," "state S," and "state M" were estimated as 0.674, 0.718, 0.730, and 0.552, respectively. The SF-6D provided mean utility values of 0.638, 0.677, 0.681, and 0.587 for those states. Both instruments assigned statistically significant (P < 0.01) scores for different states. The intra-class correlation for the two measures was 0.677 (95% confidence interval (CI): 0.558 - 0.764). The Bland-Altman plot indicated a better agreement on the higher values and that at higher values, the EQ-5D yields a higher score than the SF-6D; this relationship was reversed at lower values. CONCLUSIONS: Although the two instruments were able to discriminate between various states, the values derived from these instruments were quite different. This distinction could have influenced the conclusions of an economic evaluation. Further research is required to determine which instrument should be used in economic evaluations.

EOS imaging versus current radiography: A health technology assessment study.

BACKGROUND: EOS is a 2D/3D muscle skeletal diagnostic imaging system. The device has been developed to produce a high quality 2D, full body radiographs in standing, sitting and squatting positions. Three dimensional images can be reconstructed via sterEOS software. This Health Technology Assessment study aimed to investigate efficacy, effectiveness and cost-effectiveness of new emerged EOS imaging system in comparison with conventional x-ray radiographic techniques. METHODS: All cost and outcome data were assessed from Iran's Ministry of Health Perspective. Data for clinical effectiveness was extracted using a rigorous systematic review. As clinical outcomes the rate of x-ray emission and related quality of life were compared with Computed Radiography (CR) and Digital Radiography (DR). Standard costing method was conducted to find related direct medical costs. In order to examine robustness of the calculated Incremental Cost Effectiveness Ratios (ICERs) we used two-way sensitivity analysis. GDP Per capita of Islamic Republic of Iran (2012) adopted as cost-effectiveness threshold. RESULTS: Review of related literature highlighted the lack of rigorous evidence for clinical outcomes. Ultra low dose EOS imaging device is known as a safe intervention because of FDA, CE and CSA certificates. The rate of emitted X-ray was 2 to 18 fold lower for EOS compared to the conventional techniques (p<0.001). The Incremental Cost Effectiveness Ratio for EOS relative to CR calculated $50706 in baseline analysis (the first scenario) and $50714, $9446 respectively for the second and third scenarios. Considering the value of neither $42146 as upper limit, nor the first neither the second scenario could pass the cost-effectiveness threshold for Iran. CONCLUSION: EOS imaging technique might not be considered as a cost-effective intervention in routine practice of health system, especially within in-patient wards. Scenario analysis shows that, only in an optimum condition such as lower assembling costs and higher utilization rates, the device can be recruited for research and therapeutic purposes in pediatric orthopedic centers.

Cost Analysis of MRI Services in Iran: An Application of Activity Based Costing Technique.

BACKGROUND: Considerable development of MRI technology in diagnostic imaging, high cost of MRI technology and controversial issues concerning official charges (tariffs) have been the main motivations to define and implement this study. OBJECTIVES: The present study aimed to calculate the unit-cost of MRI services using activity-based costing (ABC) as a modern cost accounting system and to fairly compare calculated unit-costs with official charges (tariffs). MATERIALS AND METHODS: We included both direct and indirect costs of MRI services delivered in fiscal year 2011 in Shiraz Shahid Faghihi hospital. Direct allocation method was used for distribution of overhead costs. We used micro-costing approach to calculate unit-cost of all different MRI services. Clinical cost data were retrieved from the hospital registering system. Straight-line method was used for depreciation cost estimation. To cope with uncertainty and to increase the robustness of study results, unit costs of 33 MRI services was calculated in terms of two scenarios. RESULTS: Total annual cost of MRI activity center (AC) was calculated at USD 400,746 and USD 532,104 based on first and second scenarios, respectively. Ten percent of the total cost was allocated from supportive departments. The annual variable costs of MRI center were calculated at USD 295,904. Capital costs measured at USD 104,842 and USD 236, 200 resulted from the first and second scenario, respectively. Existing tariffs for more than half of MRI services were above the calculated costs. CONCLUSION: As a public hospital, there are considerable limitations in both financial and administrative databases of Shahid Faghihi hospital. Labor cost has the greatest share of total annual cost of Shahid Faghihi hospital. The gap between unit costs and tariffs implies that the claim for extra budget from health providers may not be relevant for all services delivered by the studied MRI center. With some adjustments, ABC could be implemented in MRI centers. With the settlement of a reliable cost accounting system such as ABC technique, hospitals would be able to generate robust evidences for financial management of their overhead, intermediate and final ACs.

Stated time preferences for health: a systematic review and meta analysis of private and social discount rates.

BACKGROUND: The present study aimed to provide better insight on methodological issues related to time preference studies, and to estimate private and social discount rates, using a rigorous systematic review and meta-analysis. METHODS: We searched PubMed, EMBASE and Proquest databases in June 2013. All studies had estimated private and social time preference rates for health outcomes through stated preference approach, recognized eligible for inclusion. We conducted both fixed and random effect meta-analyses using mean discount rate and standard deviation of the included studies. I-square statistics was used for testing heterogeneity of the studies. Private and social discount rates were estimated separately via Stata11 software. RESULTS: Out of 44 screened full texts, 8 population-based empirical studies were included in qualitative synthesis. Reported time preference rates for own health were from 0.036 to 0.07 and for social health from 0.04 to 0.2. Private and social discount rates were estimated at 0.056 (95% CI: 0.038, 0.074) and 0.066 (95% CI: 0.064, 0.068), respectively. CONCLUSIONS: Considering the impact of time preference on healthy behaviors and because of timing issues, individual's time preference as a key determinant of policy making should be taken into account. Direct translation of elicited discount rates to the official discount rates has been remained questionable. Decisions about the proper discount rate for health context, may need a cross-party consensus among health economists and policy makers.