Factors Affecting Inequality in the Quality Diets: A Scoping Review.

OBJECTIVES: the current dietary pattern is found increasingly unsafe, unstable, and unequal for a huge part of the populations. Disadvantaged populations were usually known by less healthy diets and were at a higher risk of disease in comparison with high socioeconomic groups. The current scoping review study aims at indicating the effective factors on inequality in the quality of diets. METHODS: the academic databases, including Scopus, Web of science, PubMed, Scientific Information Database, Islamic World Science Citation Center, Google scholar search engine, World Health Organization, and the website of the European Union, until April 2021, were systematically reviewed. We used vote counting technique to identify the effective factors causing inequality in the quality of diets. RESULTS: The factors that have caused inequality in the quality of diets were divided into 3 categories of demographic, lifestyle, and socioeconomic. It was found that any increase in age, income, education, different ethnic groups, smoking, and occupational statues increased inequality in diet quality. Also, as a factor physical activity, could reduce inequality in diet quality. Moreover, type of residence in terms of access to food, dominant available food, and culture of the area could cause inequality in diet quality. CONCLUSIONS: According to the results of this study, the effective factors on inequality in the quality of diet are demographic and socioeconomic factors that cannot be manipulated by policy makers. Nevertheless, increasing the knowledge of individuals, improving their lifestyle, and providing subsidies to poorer individuals reduce inequality in the quality of the diets.

To what extent has the Iranian Health Transformation Plan addressed inequality in healthcare financing in Iran?

BACKGROUND: One of the major goals of health systems is providing a financing strategy without inequality; this has a significant impact on people's access to healthcare. The present study aimed to investigate the inequality in households' financial contribution (HFC) to health expenditure both before and after the implementation of the Iranian Health Transformation Plan (HTP) in 2014. METHODS: This study is a secondary analysis of two waves of a national survey conducted in Iran. The data were collected from the Households Income and Expenditure Survey in 2013 and 2015. The research sample included 76,195 Iranian households. The inequality in households' financial contributions to the health system was assessed using the Gini coefficient, and the concentration index (CI). In addition, by using econometric modeling, the relationship between the implementation of the HTP and inequality in HFC was studied. The households' financial contribution included healthcare and health insurance prepayments. RESULTS: The Gini coefficient values were 0.67 and 0.65 in 2013 and 2015, respectively, indicating a medium degree of inequality in HFC in both years. The CI values were 0.54 and 0.56 in 2013 and 2015, respectively, suggesting that inequalities in HFC were in favor of higher income quintiles in the years before and after the implementation of the HTP. Regression analysis showed that households with a female head, with an unemployed head, or with a head having income without a job were contributing more to financing health expenditure. The presence of a household member over the age of 65 was associated with a higher level of HFC. The implementation of the HTP had a negative relationship with the HFC. CONCLUSION: The HTP, aiming to address inequality in the financing system, did not achieve the intended goal as expected. The implementation of the HTP neglected certain factors at the household level, such as the presence of family members older than the age of 65, a female household head, and unemployment. This resulted in a failure to reduce the inequality of the HFC. We suggest that, in the future, policymakers take into account factors at the household level to reduce inequality in the HFC.

Public-private partnership in primary health care: an experience from Iran.

AIM: The aim of this paper is to introduce the experience of applying public-private partnership (PPP) in providing primary health care (PHC) in East Azerbaijan Province (EAP), Iran. BACKGROUND: Moving toward the Universal Health Coverage (UHC) involves using of all health-related resources. Certainly, one of the key strategies for achieving UHC is PPP. Since 2015, a PPP in PHC policy has begun in EAP as a major strategy for strengthening the health system and achieving UHC. METHODS: In this case study, data were collected through interviews with stakeholders, document analysis, reviewing of health indexes and published studies. The data were analyzed using content analysis. FINDING: PPP in PHC policy was designed and implemented in EAP with the aim of social justice, strengthening the health system and achieving UHC in the framework of health complexes (HCs). HCs provide a defined service package according to the contract. The reimbursement method is a combination of per capita, fee for services and bonus methods. Part of the payments is fixed and the other part is based on the pay for quality system and paid according to the results of monitoring and evaluation. According to the study results, the most important strength of the plan is to improve access to services, especially in marginalized areas. The main weakness is not providing infrastructures before the implementation of the plan, and the most important challenges are financial, political and organizational unsustainability and, sometimes, poor cooperation by the other organizations. The findings show that PPP in PHC in EAP is an effective strategy to provide social justice, implement family practice and achieve UHC.

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.

The economic burden of road traffic injuries until one-year after hospitalization: A survey study.

OBJECTIVE: Road Traffic Injuries (RTIs) are one of the most crucial and challenging public health problems in low and middle income countries. Despite continuous efforts to estimate both personal and societal costs of RTIs however, their long-term effects have remained marginal. The current study aimed to explore the economic burden of RTIs until one year after the victim's hospitalization. METHODS: The study included a total of 1150 RTI victims, who were admitted to two trauma-referral hospitals during 2016. Data on direct medical costs, direct non-medical costs and indirect costs were gathered for each study sample via hospital records and phone surveys. Direct and indirect costs from a social perspective were estimated based on Micro Costing Approach followed by the Human Capital Approach. Also, the explanatory variables affecting the costs of RTIs were identified using the liner regression model. RESULTS: The average amounts of direct (medical, non-medical), indirect, and total costs of RTI were estimated as 2,908 US$ (1,591 US$, 1,316 US$), 5,790 US$, and 8,701 US$ respectively. Also, several variables were significantly affecting the costs of RTIs including age, marital status, employment status, severity of injury, receiving physiotherapy care, victim's vehicle type in crash, crash time and location. CONCLUSIONS: Findings suggest that RTIs are considered as an enormous burden on Iranian GDP per capita and health expenditure per capita occupying 167% and 347% respectively. This enormous economic burden caused by RTIs requires more policy regulations and prevention programs to decrease RTIs.

The Study of Out-of-pocket Payment and the Exposure of Households with Catastrophic Health Expenditures Following the Health Transformation Plan in Iran.

INTRODUCTION: One of the main objectives of health systems is providing financial protection against out-of-pocket (OOP) health expenditures. According to the 2011 report by the World Health Organization in the Eastern Mediterranean Regional Office (EMRO), a huge portion of health service in Iran is paid OOP, which is around 58% of the total health system expenditure. Furthermore, all over the world, around 25 million households (100 million people) are trapped in poverty as a result of paying health service costs. Therefore, this research was aimed at investigating the OOP and exposure of households with catastrophic health expenditures (CHE) following the implementation of a health transformation plan in Tabriz, Iran. METHODS: A descriptive-analytic study was conducted on a cross-sectional basis. The sample included 400 households, who were interviewed using the World Health Survey questionnaire, and then OOP payment and exposure of households to CHE were estimated, and the effective factors on OOP payment and the determinants of CHE were analyzed using a regression model. RESULTS: After implementing the health transformation plan, the average share of households' OOP payments, toward their ability to pay was 13.2%. In addition, 11.25% of the households were exposed to CHE in Tabriz. The key determinants of OOP were income, dental services, pharmaceuticals, radiology, and physiotherapy. The factors affecting CHE were income, insurance status, marital status, dental services, pharmacy, physiotherapy, and radiological services. CONCLUSION: Based on the results of the current study and compared to similar research conducted prior to this plan, it is obvious that the transformation plan was able to achieve its goal in "reducing OOP payments". However, health services such as dental, pharmacy, physiotherapy, and radiology would increase the likelihood of facing OOP payments. These variables should be considered by health policy-makers in order to review and revise the content of recent reform to provide financial protection against OOP for people.

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 Equity in Healthcare Financing in Low- and Middle-Income Countries.

OBJECTIVES: The present systematic review aimed to assess the healthcare financing system by studying the relevant indicators in low- and middle-income countries (LMICs). The focus of this research was on the entire healthcare system without considering any specific healthcare service or population group. This article explains the conditions of equity in people's payments for healthcare services in LMICs and focuses on the strengths and weaknesses of successful or failed healthcare systems. METHODS: A systematic search was conducted in the existing database that included the data up to December 2016. The quantity of equity was estimated using relevant indicators and comparing the results with indicators' specific values. Narrative synthesis was then performed for the purpose of reporting the results. RESULTS: A total of 17 articles from 14 regions, including Palestine, China, China (Heilongjiang), China (Gansu), Ghana, Hungary, Iran, Tunisia, Tanzania, Malaysia, Malawi, Zimbabwe, Uganda, and Chile met the inclusion criteria. The findings indicated that the insurance system (individual and social) is the most equitable method of financing, whereas direct payment is the most unfair method. Nevertheless, many countries still struggle with various payment methods, and people use direct payments. CONCLUSIONS: Results revealed that several factors can affect a country's failure to establish equity in financing the health system. These factors include an increase in direct payments by people to reduce the government's share, failure to cover insurance for the entire population (and especially the poor), and problems in identifying people from low-income groups and setting rules for exempting them from taxes.

Analysis of Public-Private Partnership in Providing Primary Health Care Policy: An Experience From Iran.

Background: This study aims to analyze the public-private partnership (PPP) policy in primary health care (PHC), focusing on the experience of the East Azerbaijan Province (EAP) of Iran. Methods: This research is a qualitative study. Data were gathered using interviews with stakeholders and document analysis and analyzed through content analysis. Results: Participants considered political and economic support as the most important underlying factors. Improving system efficiency was the main goal of this policy. Most stakeholders were supporters of the plan, and there was no major opponent. Implementing the health evolution plan (HEP) was an opportunity to design this policy. Participants considered the lack of provision of infrastructure as the main weakness, changing the role of the public sector as the main strength, and promoting social justice as the main achievement of policy. The results of the quantitative data review showed that following the implementation of this policy, health indicators have been improved. Conclusions: Based on the results of this study, the PPP model in EAP is a new and successful experience in PHC in Iran. Supporting and developing this policy may improve the quality and quantity of providing care.

Willingness to pay for one quality-adjusted life year in Iran.

BACKGROUND: Recent years have witnessed a strong tendency to apply economic evidence as a guide for making health resource allocation decisions, especially those related to reimbursement policies. One such measure is the use of the cost-effectiveness threshold as a benchmark. This study explored the threshold for use in the health system of Iran by determining society's preferences. METHODS: A cross-sectional household survey based on the contingent valuation method was administered to a representative general population of 1002 in Tehran, Iran from April to June 2015. The survey was intended to estimate the respondents' willingness-to-pay (WTP) preferences for one quality-adjusted life year (QALY) gained. The valuation scenarios featured 12 vignettes on mild to severe diseases that can change people's quality of life. The mean of WTP for QALY was estimated using different health instruments, and the determinants of such willingness were analyzed using the Heckman selection model. RESULTS: WTP for QALY varied depending on the severity of a disease and the instrument used to determine health preferences. Mean low health state value were associated with high valuation. The best estimated WTP values ranged from US$1032 to US$2666 and 0.22-0.56 of Iran's local gross domestic product (GDP) per capita in 2014. Except for educational level, significant variables differed across different disease scenarios. Generally, a high health state valuation for target diseases, high income, high educational level, and being married were associated with high WTP for QALY. CONCLUSION: From the general public's perspective, the monetary value of QALY for mild to severe diseases with no risk of death was less than one GDP per capita. Therefore, the obtained valuation range is recommended as reference only for the adoption of interventions designed to improve quality of life. Future studies should estimate the threshold of interventions for life-threatening diseases or formulate transparent policies in such contexts.

The Worth of a Quality-Adjusted Life-Year in Patients with Diabetes: An Investigation Study using a Willingness-to-Pay Method.

BACKGROUND: A limited number of studies have specifically examined the value of quality-adjusted life-years (QALYs) from the patient's perspective. OBJECTIVE: The goal of this study was to investigate the worth of QALYs from the perspectives of patients with diabetes using health and willingness-to-pay (WTP) measures. METHODS: A hypothetical treatment characterized by a permanent cure was presented to 149 patients with diabetes in Tehran, Iran, to elicit the monetary value that they attach to QALYs. The QALY gains of the participants were determined using the EuroQol-5 Dimensions, 3 Levels instrument, the visual analogue scale, and the time trade-off method. A mixed closed-ended WTP model supported by an open-ended question was used to ascertain the monetary value of a QALY gained. Finally, we used each respondent's ratio of WTP to QALY gained and the mean of the ratios to estimate the worth of a QALY to all respondents. RESULTS: In total, 96% of respondents were willing to pay out of pocket for the restoration of full health, whereas 4% exhibited a zero WTP because of an inability to pay. The mean WTP per QALY varied depending on the health measure and discount rate used, ranging from $US1191 to $US5043 in sensitivity analysis, which is equal to 0.23-0.95 of Iran's gross domestic product (GDP) per capita in 2015. CONCLUSION: Applying the upper limit of the World Health Organization's (WHO) cost-effectiveness threshold (i.e., three times the local GDP per capita) in resource allocation decisions requires caution and investigation, particularly in low- and middle-income countries with limited healthcare resources. To generalize our findings, especially for application to decision making, additional surveys involving more representative samples from different settings are recommended.

Effective Factors of Utilization of Inpatient, Outpatient, Diagnostic, and Pharmaceutical Health Services: A Systematic Review.

Utilization is one of the dimensions of equity in health systems. Identifying the factors affecting utilization of health services can be helpful for interventional purposes. This study systematically reviewed the factors affecting the utilization of inpatient, outpatient, diagnostic, and pharmaceutical services. This systematic review was conducted between 2016 and 2017. The search was performed using keywords based on MeSH in valid databases such as Scopus, Embase, ProQuest, ScienceDirect, PubMed, and Web of Science in the fields of title, abstract, and keyword. Related papers published from 2000 to 2017 were searched. First, the retrieved studies were screened and checked for quality; then, the useful data were extracted and analyzed. Out of the 1178 retrieved publications, 20 studies were included in the final analysis. The identified factors were categorized into 5 areas, including demographic (4 items), socioeconomic (13 items), health services-related (13 items), health status-related (7 items), and health insurance-related factors (2 items), and reported. The findings of this study can be a useful source and a comprehensive body of evidence on the utilization of health services. The results can be used by the policy makers and managers in designing interventions for changing the utilization patterns of health services.

The Effect of Health Insurance on the Utilization of Health Services: A Systematic Review and Meta-Analysis.

Insurance organizations are among the most influential organizations in the health system, which can lead to healthcare efficiency and patient satisfaction in case they are increasingly accessed. The main purpose of the present systematic review was to examine the effect of health insurance on the utilization of health services and also to examine the factors affecting it. The present study was a systematic review that aimed to examine the effect of health insurance on the utilization of health care services. The study was conducted in 2016 using Scopus, PubMed, Web of Science, Science Direct, and ProQuest databases. We examined the utilization rate of health insurance in insured people. The inclusion and exclusion criteria were included based on review and meta-analysis purposes. The utilization of health services increased for inpatient and outpatient services. The utilization rate of inpatient services increased by 0.51% whereas the utilization rate of outpatient services increased by 1.26%. We classified the variables affecting the utilization rate of insurance into three main categories and sub-categories: demographic variables of the household, socioeconomic status, and health status. Our study showed that insured people increased the utilization rate of health services, depending on the type of health services. Thus, health policymakers should consider the community's health insurance as a priority for health programs. For now, implementing universal health insurance is a good solution.

Never will I give advice till you please to ask me thrice: Estimating willingness to pay for health insurance using 3 different methods with evidence from Iran.

OBJECTIVE: The current study was aimed at providing a monetary assessment of households' preferences for basic and complementary health insurance based on willing to pay for health insurance coverage. METHOD: The open-ended (OE), take-it-or-leave-it (TIOLI), and double-bounded dichotomous choice (DBDC) methods of contingent valuation (CV) were compared in calculating the participants' willingness to pay (WTP) for joining health insurance coverage. The data for the current study were taken from 2 equivalent samples of households. RESULTS: The (trimmed) mean of monthly WTP per person for basic health insurance coverage elicited by the OE, TIOLI, and DBDC methods was respectively US$ 4.01, US$ 6.2, and US$ 5.5. Moreover, the (trimmed) mean of monthly WTP per person for complementary health insurance elicited by the OE, TIOLI, and DBDC methods was respectively US$ 4.6, US$ 9.8, and US$ 8. CONCLUSIONS: The results indicated a significant value difference in the various CV approaches. The findings suggest that the TIOLI, OE, and DBDC can be used as an upper bounded, a lower bounded, and a median value respectively. The findings also suggest that the choice of different CV approaches is needed to estimate a boundary of WTP for health insurance plans as a more reliable estimate of stated preference of health insurance.

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.

Knowledge of and attitudes toward HIV/AIDS among Iranian women.

OBJECTIVES: This study investigated the knowledge of Iranian women about HIV/AIDS and whether they had accepting attitudes towards people living with human immunodeficiency virus (HIV), and sought to identify factors correlated with their knowledge and attitudes. METHODS: The data analyzed in the present study were taken from Iran's Multiple Indicator Demographic and Health Survey, a national survey conducted in 2015. In total, 42,630 women aged 15-49 years were identified through multi-stage stratified cluster random sampling and interviewed. Associations of the socio-demographic characteristics of participants with their knowledge and attitudes were examined using multiple logistic regression analysis. RESULTS: The majority (79.0%) of Iranian women had heard about HIV/AIDS, but only 19.1% had a comprehensive knowledge. In addition, only 15.4% of women had accepting attitudes toward people with HIV. Being older, married, more highly educated, and wealthier were factors associated with having more comprehensive knowledge of HIV/AIDS, and living in urban areas was associated with having more positive attitudes toward people with HIV. CONCLUSIONS: The relatively poor knowledge of Iranian women and the low prevalence of accepting attitudes toward people living with HIV highlight the need to develop policies and interventions to overcome this issue, which would be a basis for further prevention of HIV/AIDS in Iran.

Willingness to Pay for Complementary Health Care Insurance in Iran.

BACKGROUND: Complementary health insurance is increasingly used to remedy the limitations and shortcomings of the basic health insurance benefit packages. Hence, it is essential to gather reliable information about the amount of Willingness to Pay (WTP) for health insurance. We assessed the WTP for health insurance in Iran in order to suggest an affordable complementary health insurance. METHODS: The study sample consisted of 300 household heads all over provinces of Iran in 2013. The method applied was double bounded dichotomous choice and open-ended question approach of contingent valuation. RESULTS: The average WTP for complementary health insurance per person per month by double bounded dichotomous choice and open-ended question method respectively was 199000 and 115300 Rials (8 and 4.6 USD, respectively). Household's heads with higher levels of income and those who worked had more WTP for the health insurance. Besides, the WTP increased in direct proportion to the number of insured members of each household and in inverse proportion to the family size. CONCLUSION: The WTP value can be used as a premium in a society. As an important finding, the study indicated that the households were willing to pay higher premiums than currently collected for the complementary health insurance coverage in Iran. This offers the policy makers the opportunity to increase the premium and provide good benefits package for insured people of country then better risk pooling.

Systematic Review of Willingness to Pay for Health Insurance in Low and Middle Income Countries.

OBJECTIVE: Access to healthcare is mostly contingent on out-of-pocket spending (OOPS) by health seekers, particularly in low- and middle-income countries (LMICs). This would require many LMICs to raise enough funds to achieve universal health insurance coverage. But, are individuals or households willing to pay for health insurance, and how much? What factors positively affect WTP for health insurance? We wanted to examine the evidence for this, through a review of the literature. METHODS: We systematically searched databases up to February 2016 and included studies of individual or household WTP for health insurance. Two authors appraised the identified studies. We estimated the WTP as a percentage of GDP per capita, and adjusted net national income per capita of each country. We used meta-analysis to calculate WTP means and confidence intervals, and vote-counting to identify the variables that more often affected WTP. RESULT: 16 studies (21 articles) from ten countries met the inclusion criteria. The mean WTP of individuals was 1.18% of GDP per capita and 1.39% of adjusted net national income per capita. The corresponding figures for households were 1.82% and 2.16%, respectively. Increases in family size, education level and income were consistently correlated with higher WTP for insurance, and increases in age were correlated with reduced WTP. CONCLUSIONS: The WTP for healthcare insurance among rural households in LMICs was just below 2% of the GPD per capita. The findings demonstrate that in moving towards universal health coverage in LMICs, governments should not rely on households' premiums as a major financing source and should increase their fiscal capacity for an equitable health care system using other sources.

The Efficacy of Written Information Intervention in Reduction of Hospital Re-admission Cost in Patients With Heart Failure; A Systematic Review and Meta-Analysis.

OBJECTIVE: To assess the efficacy of written information versus non written information intervention in reducing hospital readmission cost, if prescribed or presented to the patients with HF. METHODS: The study was a systematic review and meta-analysis. We searched Medline (Ovid) and Cochrane library during the past 20 years from 1993 to 2013. We also conducted a manual search through Google Scholar and a direct search in the group of related journals in Black Well and Science Direct trough their websites. Two reviewers appraised the identified studies, and meta-analysis was done to estimate the mean saving cost of patient readmission. All the included studies must have been done by randomization to be eligible for study. RESULT: We assessed the full-texts 3 out of 65 studies with 754 patients and average age of 74.33. The mean of estimated saving readmission cost in intervention group versus control group was US $2751 (95% CI: 2708 - 2794) and the mean of total saving cost in intervention group versus control group was US $2047 (base year 2010) with (95% CI: 2004 - 2089). No publication bias was found by testing the heterogeneity of studies. CONCLUSION: One of the effective factors in minimizing the healthcare cost and preventing from hospital re-admission is providing the patients with information prescription in a written format. It is suggested that hospital management, Medicare organizations, policy makers and individual physicians consider the prescription of appropriate medical information as the indispensable part of patient's care process.

Cost-effectiveness of Anemia Screening in Vulnerable Groups: A Systematic Review.

BACKGROUND: Anemia is the most common blood disorder observed in vulnerable groups and affects their efficiency in their everyday activities. Possible complications of the disease may be reduced or prevented by screening of patients. Screening programs impose certain costs upon the health system, which may offset their positive effects. Whether the positive impacts of screening outweigh its costs is a subject of debate among policy-makers. In this research, we have conducted a systematic review of the cost-effectiveness of anemia screening. METHODS: The Pubmed, Science Direct, SCOPUS, EMBASE, and CINAHL databases were searched for relevant results dating between 1962-2010 using key words. The references of the related articles were gone over manually. In the end, Persian databases were also examined for results. RESULTS: Using data from the four mentioned databases, a total of 722 articles were elected, which, after evaluation, were narrowed down to 4. Of these, 3 focused on newborns and infants. Disparity existed among obtained results, such that no two articles were similar, and this made making comparisons between them cumbersome and sometimes even impossible. Only one study evaluated cost-effectiveness of anemia screening in vulnerable target groups. CONCLUSIONS: Research findings show that there is not enough evidence of cost-effectiveness of screening for decision-making. Bearing in mind the importance of the matter to health policy-makers, due to high prevalence of iron-deficiency anemia in low- and middle-income countries, conduction of research in this field seems necessary.