Key factors in the future of oral and dental health in Iran using scenario writing approach.

BACKGROUND: Oral and dental health can significantly impact individuals' quality of life. The World Health Organization introduces oral health as one of the essential priorities of public health worldwide. Given the lack of studies on the future of oral and dental health in Iran, this study used a futures studies approach to identify the factors in oral and dental health in Iran through scenario writing. METHODS: This study was conducted in three stages including the scenario writing approach, qualitative methods, and exploratory future research. First, potential variables affecting future oral and dental health systems were extracted through interviews. The focus group discussion determined the uncertainty and importance of the variables. Then, the cross-impact balance matrix was imported into the Scenario Wizard software to identify the different states of the scenario generator variables and compatible scenarios were extracted. RESULTS: Seventy variables were extracted as key variables affecting the future of oral and dental health. Regarding the importance and uncertainty, seventeen variables scored higher and fell into policy and governance, economy and financing, social, service delivery, and technology, serving as five categories of scenario generators. Fifteen scenarios with weak consistency and three with strong consistency were obtained using the Cross-Impact Balance matrix in Scenario Wizard software. CONCLUSION: The probability of a pessimistic scenario where all five categories of the scenarios were in the worst possible state was higher due to its consistency. The government's support policies and commitment to oral and dental health were two key factors in the future. Achieving an optimistic and favorable scenario for the future of the country's oral and dental health system depends on the government and policymakers in the health sector adopting a positive attitude towards the role of oral and dental health services in improving societal health. In this scenario, the five categories of the scenario generators were in the best condition.

Investigating the quality of hemovigilance process using the first two steps of Six Sigma model: a cross-sectional study.

BACKGROUND AND PURPOSE: Hemovigilance is a set of monitoring methods that covers the blood transfusion chain, from collecting blood and blood products to monitoring the blood recipients. To this end, any error in this process can have serious and irreparable consequences for patients. The present study aimed to investigate the quality of hemovigilance process in Iran, using the first two steps of Six Sigma model. METHODS: This was a quantitative cross-sectional study that was conducted over 6 months (from August 20, 2021, to February 20, 2022) at Afzalipour Hospital in Iran, using the first two steps of Six Sigma model. The study population comprised of all inpatients who needed blood or blood product transfusion in various departments of Afzalipour Hospital, among whom 477 patients were selected via stratified sampling in three shifts (morning, evening, and night). The datasheet was used to record errors in the three shifts. This research was conducted, using the DMAIC cycle's "define" and "measure" steps. RESULTS: In the define step, the hemovigilance process at Afzalipour Hospital was divided into two categories of normal process and emergency process. Each of these processes consists of several sub-processes, including "phlebotomy," "requesting blood and blood products from the department," "preparation of application by the blood bank," " sending a request from the blood bank to the blood transfusion center," "transfusing blood and blood products," and "returning the blood and blood products to the blood bank and waste disposal." In the measure step, the quality of hemovigilance process was evaluated based on sub-processes and labels at morning, evening and night shifts. The sub-process of sending a request from the blood bank to the blood transfusion center had the highest error rate with a sigma level of 1.5. Also, the evening and night shifts had a sigma level of 1.875, and the clinical and registration labels had a sigma level of 1.875. The overall sigma level of hemovigilance process was calculated to be 2. CONCLUSION: The results of this study showed that the quality of hemovigilance process at Afzalipour Hospital was poor. By employing the first two steps of Six Sigma method, we identified the existing errors in the hemovigilance process of Afzalipour hospital in order to assist hospital managers to take the necessary measures to improve this process.

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.

Factors associated with patients' mobility rates within the provinces of Iran.

BACKGROUND: The absence of a referral system and patients' freedom to choose among service providers in Iran have led to increased patient mobility, which continues to concern health policymakers in the country. This study aimed to determine factors associated with patient mobility rates within the provinces of Iran. METHODS: This cross-sectional study was conducted in Iran. Data on the place of residence of patients admitted to Iranian public hospitals were collected during August 2017 to determine the status of patient mobility within each province. The sample size were 537,786 patients were hospitalized in public hospitals in Iran during August 2017. The patient mobility ratio was calculated for each of Iran's provinces by producing a patient mobility matrix. Then, a model of factors affecting patient mobility was identified by regression analysis. All the analyses were performed using STATA14 software. RESULTS: In the study period, 585,681 patients were admitted to public hospitals in Iran, of which 69,692 patients were referred to the hospital from another city and 51,789 of them were admitted to public hospitals in the capital of the province. The highest levels of intra-provincial patient mobility were attributed to southern and eastern provinces, and the lowest levels were observed in the north and west of Iran. Implementation of negative binomial regression indicated that, among the examined parameters, the distribution of specialist physicians and the human development index had the highest impact on intra-provincial patient mobility. CONCLUSION: The distribution of specialists throughout different country areas plays a determining role in patient mobility. In many cases, redistributing hospital beds is impossible, but adopting different human resource policies could prevent unnecessary patient mobility through equitable redistribution of specialists among different cities.

Self-medication practices and their characteristics among Iranian university students.

BACKGROUND: Self-medication in students, as educated people, is one of the most important health issues. It is known that inappropriate self-medication is harmful for individuals as it has potential risks, disrupts the drug market and increases the per capita financial drug consumption. Thus, the aim of this study is to investigate the habits related to drug use and the prevalence of self-medication practices among university students. METHODS: This cross-sectional study was conducted in 2021 at Jahrom universities/Iran, using an electronic "self-medication practices and medication habits" questionnaire. A total of 848 students from four healthcare and non-healthcare universities participated in the study. RESULTS: The prevalence of self-medication among students was 44.8%. The most common medicines used for self-medication included cold remedies and sedatives that were used by 33% of the students. About 47% of students stated that they have used antibiotics without a physician's prescription. The internet and social networks were the source of information on self-medication in about 40% of students. There was no significant difference in self-medication between medical and non-medical students (OR = 0.865, 95% CI: 0.659-1.134). Self-medication in students with underlying disease was higher than students without underlying disease (OR = 2.8, 95% CI: 1.39-5.60). CONCLUSIONS: Self-medication had a high prevalence among students. The best strategy to reduce or eliminate self-medication is to raise students' awareness and knowledge about potential risk of self-medication practices.

Assessing the performance of hospitals before and after the implementation of Iran's Health Sector Evolution Plan (HSEP) using the Pabon Lasso model.

Background: The health sector evolution plan was implemented in 2014 in government hospitals across the country as a part of the universal health coverage achievement programs. This study assessed the performance of hospitals before and after the implementation of this plan, using the Pabon Lasso model. Methods: The population of this study consisted of the hospitals of the country in the 2013-2015 time frame; overall, 874 hospitals (94.5% of the population) were included in the study. In order to assess performance, we used the Pabon Lasso model and hospital performance indicators (Average Length of Stay, Bed Turnover, and Bed Occupancy Rate). The data were collected from the Hospital Information System and provincial deputies of curative affairs and were then analyzed using the descriptive indicators of mean, frequency, and median in SPSS 22. Also, Paired Student T-test and ANOVA were used to compare the performance of different groups of hospitals before and after the implementation of the health sector evolution plan. Results: The implementation of the health sector evolution plan has led to a significant improvement in the three performance indicators in the hospitals of the country. Before the implementation of the health sector evolution plan, the most inefficient, inefficient, fairly efficient, and most efficient zones included 31%, 18%, 17%, and 33% of the studied hospitals, respectively. However, the implementation of the health sector evolution plan changed the percentages to 29%, 21%, 20%, and 30%, respectively. Teaching hospitals, which are governmental and are mostly located in capital cities of the provinces, were overall more inefficient than non-teaching hospitals. Conclusion: The number of the most efficient and most inefficient hospitals has decreased, and the number of average performance hospitals has increased after the implementation of the health sector evolution plan. Therefore, the health sector evolution plan has not led to an overall increase or decrease in the performance of hospitals but has reduced the difference in the performance of hospitals. Equal support of government hospitals along with financial protection against health expenses, improves the performance indicators of hospitals and reduces performance differences among them.

A Successful implementation of an idea to a nationally approved plan: Analyzing Iran's National Health Roadmap using the Kingdon model of policymaking.

Introduction: Hospital beds, human resources, and medical equipment are the costliest elements in the health system and play an essential role at the time of treatment. In this paper, different phases of the NEDA 2026 project and its methodological approach were presented and its formulation process was analysed using the Kingdon model of policymaking. Methods: Iran Health Roadmap (NEDA 2026) project started in March 2016 and ended in March 2017. The main components of this project were hospital beds, clinical human resources, specialist personnel, capital medical equipment, laboratory facilities, emergency services, and service delivery model. Kingdon model of policymaking was used to evaluate NEDA 2026 development and implementation. In this study, all activities to accomplish each step in the Kingdon model was described. Results: The followings were done to accomplish the goals of each step: collecting experts' viewpoint (problem identification and definition), systematic review of the literature, analysis of previous experiences, stakeholder analysis, economic analysis, and feasibility study (solution appropriateness analysis), three-round Delphi survey (policy survey and scrutinization), and intersectoral and interasectoral agreement (policy legislation). Conclusion: In the provision of an efficient health service, various components affect each other and the desired outcome, so they need to be considered as parts of an integrated system in developing a roadmap for the health system. Thus, this study demonstrated the cooperation process at different levels of Iran's health system to formulate a roadmap to provide the necessary resources for the health sector for the next 10 years and to ensure its feasibility using the Kingdon policy framework.

TEAM ATTITUDE EVALUATION: AN EVALUATION IN HOSPITAL COMMITTEES.

INTRODUCTION: Patients' health and safety is not only a function of complex treatments and advanced therapeutic technologies but also a function of a degree based on which health care professionals fulfill their duties effectively as a team. The aim of this study was to determine the attitude of hospital committee members about teamwork in Kerman hospitals. METHODOLOGY: This study was conducted in 2014 on 171 members of clinical teams and committees of four educational hospitals in Kerman University of Medical Sciences. To collect data, the standard "team attitude evaluation" questionnaire was used. This questionnaire consisted of five domains which evaluated the team attitude in areas related to the team structure, leadership, situation monitoring, mutual support, and communication in the form of a 5-point Likert type scale. To analyze data, descriptive statistical tests, T-test, ANOVA, and linear regression were used. RESULTS: The average score of team attitude for hospital committee members was 3.9 out of 5. The findings showed that leadership had the highest score among the subscales of team work attitude, while mutual support had the lowest score. We could also observe that responsibility was an important factor in participants' team work attitude (ß = -0.184, p = 0.024). Comparing data in different subgroups revealed that employment, marital status, and responsibility were the variables affecting the participants' attitudes in the team structure domain. Marital status played a role in leadership; responsibility had a role in situation monitoring; and work experience played a role in domains of communication and mutual support. CONCLUSIONS: Hospital committee members had a positive attitude towards teamwork. Training hospital staff and paying particular attention to key elements of effectiveness in a health care team can have a pivotal role in promoting the team culture.