Network analysis of Iranian's health insurance ecosystem before and after the introduction of Universal Health Insurance law.

INTRODUCTION: The policy-making process in health reform is challenging due to the complexity of organizations, overlapping roles, and diversity of responsibilities. The present study aims to investigate and analyze the network of actors in the Iran health insurance ecosystem regarding the laws before and after the adoption of the Universal Health Insurance (UHI). METHODS: The present study was done by sequential exploratory mixed method research, consisting of two distinct phases. During the qualitative phase, the actors and issues pertaining to the laws of the Iranian health insurance ecosystem from 1971 to 2021 were identified through a systematic search of the laws and regulations section of the Research Center of the Islamic Legislative Assembly website. Qualitative data was analyzed in three steps using directed content analysis. During the quantitative phase, in order to draw the communication network of the actors in Iran's health insurance ecosystem, the data related to the nodes and links of the networks was collected. The communication networks were drawn using Gephi software and the micro- and macro-indicators of network were calculated and analyzed. RESULTS: There were 245 laws and 510 articles identified in the field of health insurance in Iran from 1971 to 2021. Most of the legal comments were on financial matters and credit allocation, and the payment of premiums. The number of actors before and after the enactment of the UHI Law was 33 and 137, respectively. The Ministry of Health and Medical Education and the Iran Health Insurance Organization were found the two main actors in the network before and after the approval of this law. CONCLUSIONS: Adopting a UHI Law and delegating various legal missions and tasks, often with support to the health insurance organization, have facilitated the achievement of the law objectives. However, it has created a poor governance system and a network of actors with low coherence. Based on the results of the study, it is suggested to reduce actor roles and separate them for better governance and to prevent corruption in health insurance ecosystem. Introducing knowledge and technology brokers can be effective in strengthening governance and filling the structural gaps between actors.

The analysis of National Health Accounts and financial communications network in Iran health insurance ecosystem.

BACKGROUND: One of the major reforms in the health system of any country is the financing reform. Network analysis as a practical method for investigating complex systems allows distinguishing prominent actors in the relation networks. Leading to the identification of the effective actors and key links between them, the analysis of financial networks helps policymakers to implement reformations by providing appropriate evidence. This study aimed to design and analyze the network of National Health Accounts (NHA) and the cost network in the Iran health insurance ecosystem. METHODS: The present study is a network analysis study based on the data from NHA, and both cost and referral rates that was conducted in 2021. Data, which was for the years 2014 to 2018 and related to NHA, was collected from the Statistical Center of Iran, and cost data and referral rates, which were both related to Basic Insurance Organizations (BIOs), were collected from statistical yearbooks. To analyze the network and identify the key actors, macro indicators, such as network size and density, and micro indicators, such as centrality indicators and the combined importance index, were used. RESULTS: In the financing of the health system in Iran, insurance organizations, as agents and sources of financing, do not have a very good position, so direct payments have become a key element in the network of NHA. Providing treatment-oriented services is quite prior. Regarded to health services, hospitals and outpatient services, such as pharmacies and physicians are the key elements of cost and referral rates respectively. CONCLUSION: Consisting of several organizations with different insurance policies and being supervised under different ministries, Iran's health financing system lacks a coherent structure. It is suggested to create a coherent insurance system by creating a single governance system and paying more attention to health-oriented instead of treatment-oriented services. The health insurance ecosystem has become a health-oriented system to reduce the direct payments as well as cost management.

Challenges of implementation: Strategic purchasing in Iran Health Insurance Organization.

BACKGROUND: Strategic purchasing has been introduced as a key strategy for solving the problems faced by insurance companies. In Iran, the government has mandated the Iran Health Insurance Organization (IHIO) to implement this strategy. However, there are serious challenges to achieving that. The present study aims to identify these challenges. METHODS: In this qualitative study, a semi-structured interview was conducted on 27 health managers and experts at the national level. The dimensions of the A. Preker model were used to analyze the data. RESULTS: Challenges of strategic purchasing in the IHIO were categorized into five concepts-political economy, policy design, organizational structure, organizational environment, and management capacity; within these concepts, 22 challenges were identified. CONCLUSIONS: Improving strategic purchasing in Iran requires adopting a coherent approach and taking into account all the affecting factors. By revising some policies, and modifying and defining the rules needed to solve the infrastructural problems, the success of strategic purchasing can be obtained.

Estimation of the Cost of Smoking-Attributable Diseases (Five Selected Diseases): A Case in Kerman City, Iran, 2014.

BACKGROUND: Cigarette seems to be the least valuable of addictive drugs. It is easily accessible to the public, and its harmful personal and social effects have attracted less attention. Therefore, the present research was carried out with the aim of presenting cost estimations of smoking-related diseases in smokers who aged 35 or higher in Kerman City, Iran, in 2014. METHODS: Using the prevalence approach, the direct and indirect costs of smoking-attributable diseases including lung cancer, gastric cancer, myocardial infarction, stroke, and chronic obstructive pulmonary disease (COPD) were estimated. The initial data were obtained from the information in documents of medical document units as well as the 2014 income statements of teaching hospitals of Kerman University of Medical Sciences, Kerman City. FINDINGS: In this research, total economic costs of diseases attributed to smoking were estimated to be 50 million dollars in 2014 in Kerman City, and calculations suggest that this figure accounts for 0.02% of Iran's gross domestic product (GDP). Total direct cost of diseases caused by smoking in Kerman City adds up to 17 million dollars, whereas the estimated indirect cost of diseases caused by smoking is 33 million dollars. The yearly per capita cost of any of the selected five diseases is 270 dollars. CONCLUSION: Smoking places a high economic burden on health system and society as a whole. Therefore, stronger intervention measures against smoking should be taken without delay to reduce the health and financial losses caused by smoking.

Cost-effectiveness analysis of dialysis and kidney transplant in patients with renal impairment using disability adjusted life years in Iran.

BACKGROUND: This cross-sectional study was conducted to compare the cost-effectiveness of three therapeutic methods of long-term hemodialysis, kidney transplant from a living person and kidney transplant from a cadaver utilizing Disability Adjusted Life Years (DALY) using data from the records of patients referred to Afzalipour Hospital of Kerman in 2012. METHODS: This cross-sectional study utilizing Disability Adjusted Life Years (DALY) as outcome measure, used data from the records of patients referred to Afzalipour Hospital of Kerman in 2012. The decision tree model and decision tree software (Tree Age pro 11) were used for data analysis. In this research, costs and effects were studied from the patients and healthcare providers' perspective. RESULTS: In the patient's perspective, the CER of dialysis was 5.04 times greater than transplant from a living person and 6.15 times higher than transplant from a cadaveric donor. In the hospital's perspective, the average cost-effectiveness ratio of dialysis was 8.4 times greater than transplant from a living person and 14.07 times higher than transplant from a cadaver. The smaller the C-E ratio, the greater was the cost-effectiveness. In both perspectives, the order of effectiveness of treatment methods were transplant from a cadaver, transplant from a living person and dialysis. CONCLUSION: Considering the results obtained in this study, measures should be taken to increase the desire for organ donation from brain-dead patients, living people and patients' relatives.