Is the surge in cesarean section rates during the COVID-19 pandemic truly substantiated?

BACKGROUND: Cesarean section (C-section) rates, deemed a critical health indicator, have experienced a historical increase. The advent of the COVID-19 pandemic significantly impacted healthcare patterns including delays or lack of follow-up in treatment and an increased number of patients with acute problems in hospitals. This study aimed to explore whether the observed surge is a genuine consequence of pandemic-related factors. METHODS: This study employs an Interrupted Time Series (ITS) design to analyze monthly C-section rates from March 2018 to January 2023 in Kurdistan province, Iran. Segmented regression modeling is utilized for robust data analysis. RESULTS: The C-section rate did not show a significant change immediately after the onset of COVID-19. However, the monthly trend increased significantly during the post-pandemic period (p < 0.05). Among primigravid women, a significant monthly increase was observed before February 2020 (p < 0.05). No significant change was observed in the level or trend of C-section rates among primigravid women after the onset of COVID-19. CONCLUSION: This study underscores the significant and enduring impact of the COVID-19 pandemic in further increasing the C-section rates over the long term, the observed variations in C-section rates among primigravid women indicate that the COVID-19 pandemic had no statistically significant impact.

Socioeconomic inequality in unmet outpatient healthcare needs among people living in urban informal settlements in Sanandaj city, Iran.

BACKGROUND: The growing trend of informal settlements is a serious humanitarian crisis. Unmet need for health care services is an indicator to measure the state of equality and access to healthcare services. This study, for the first time in Iran, examined the prevalence of unmet needs for outpatient healthcare services and related socioeconomic inequalities among residents of informal settlements in Sanandaj city. METHODS: This cross-sectional study was conducted on informal settlements of Sanandaj city with a sample size of 1345 people. Data were collected using a questionnaire. Multivariate logistic regression was used to determine significant predictors of unmet needs for healthcare services. Concentration index (C) and concentration curve (CC) were calculated to measure inequality in the prevalence of unmet needs for healthcare services. RESULTS: The prevalence of unmet needs for outpatient healthcare services was 31.7%. Financial and physical barriers were the most common reasons for not using the needed services. The highest unmet need was related to dental (80.6%) and rehabilitation services (78.8%). Being elderly with about 2.3 times (OR: 2.37, 95% CI: 1.19-4.75), not having a job with about 1.7 times (OR: 1.70, 95% CI: 1.13-2.57) and having a low economic status with about 4 times (OR: 4.46, 95% CI: 2.39-9.70) increased the odds of experiencing unmet need for outpatient healthcare services. The value of concentration index showed that unmet need for outpatient healthcare services was significantly concentrated among people with lower economic status (C= -0.330, 95% CI: -0.432 to -0.227). CONCLUSION: The unmet need is high among people living in informal settlements of Sanandaj city and a significant part of the residents of these settlements does not have access to required healthcare services. Regardless of the needs of people living in these settlements, who constitute a large population of Iran, access to universal health coverage is not possible in such areas. Removing the identified obstacles and causes behind the unmet needs requires the interdisciplinary participation of all actors, including the government, the nation, and civil society.

Socioeconomic Inequality in Screen Time, Phone, and Tablet Use among Iranian Adolescents: Results of A National Study.

Background: Excessive screen time has been associated with a variety of negative health outcomes. We aimed to evaluate screen time and phone and tablet use in Iranian adolescents and their relation to the socioeconomic status of adolescents' families in 2018. Methods: This descriptive-analytical study was carried out on 10-12-year-old adolescents from Kurdistan, Fars, and Markazi provinces. Cluster sampling was used for sampling. Data were collected by completing demographic questionnaires, calculating the BMI of adolescents and phone and tablet use, screen time, and socioeconomic status of the families. We used linear and logistic regression to estimate the final model. The concentration index was used to measure inequality and the Oaxaca decomposition to examine the different determinants of the inequality. Results: 1590 adolescents (52.58% boys) were enrolled in our study. Screen time activities were significantly higher in boys, older adolescents, higher BMIs, more educated mothers, and 35< year-old fathers (P < 0.05). The use of mobile phones and tablets was significantly higher among boys, ten-year-olds, families with four or fewer members, higher BMIs, adolescents with higher levels of parental education, and more educated mothers (P < 0.05). In addition, the concentration index for screen time activities (C = 0.083) and phone and tablet use (C = 0.536) showed that screen time and phone and tablet use activities were higher in adolescents with high socioeconomic status. Conclusion: Screen time, phone and tablet use were higher in adolescents with high socioeconomic status. Also, many other factors like gender, age, BMI, parents' education and age can affect screen time, phone and tablet use in adolescents.

The impact of COVID-19 pandemic on hospital admissions for nine diseases in Iran: insight from an interrupted time series analysis.

BACKGROUND: Associations between the COVID-19 pandemic and hospitalizations have not been studied Iran. This study aimed to examine the impact of the COVID-19 pandemic on hospital admissions for nine categories of disease in seven public hospitals in Kermsnahah city, the capital of Kermsnahah province, in the west of Iran. METHODS: Data on monthly hospitalization rates (number of hospitalizations per 100,000 population) were collected for nine categories of disease for a period of 40 months (23 months before and 17 months after the COVID-19 outbreak in Iran) from the health information systems of all seven public hospitals in Kermanshah city. Categories of disease included those related to pregnancy, childbirth and the puerperium period, neoplasms, diseases of the digestive, respiratory, circulatory, genitourinary and nervous systems, mental and behavioural disorders, and infectious and parasitic diseases. Population data were extracted from the Statistics Centre of Iran. An interrupted time series analysis with segmented regression was used to examine the impact of COVID-19 on hospital admissions. FINDINGS: Average monthly hospitalization rates fell for all nine categories of disease included in the study after the onset of the pandemic, with overall rates of 85.5 per 100,000 population in the period before the COVID-19 outbreak and 50.4 per 100,000 population after the outbreak began. The relative reduction in hospitalizations for the nine diseases was 56.4%. Regression analysis of monthly data indicated a sharp decrease in hospitalisations during the first month after the COVID-19 outbreak, which was statistically significant for all diseases (p < 0.001). After the initial reduction following onset of the pandemic, significant increases were observed for some diseases, including neoplasms (increase of 3.17 per 100,000 population; p < 0.001), diseases of the digestive system (increase of 1.17 per 100,000 population; p < 0.001) and diseases related to pregnancy, childbirth and the puerperium period (increase of 1.73 per 100,000 population). For other categories of disease, rates significantly declined, including infectious and parasitic diseases (decrease of 2.46 per 100,000 population; p < 0.001). Hospitalization rates did not increase to pre-pandemic levels for any disease, with the exception of those related to pregnancy, childbirth and the puerperium period. CONCLUSIONS: Our study indicated that the COVID-19 pandemic had a significantly negative effect on hospitalizations in Iran. Although use of hospital care has gradually increased post-outbreak, it has yet to return to normal levels.

The health-related quality of life in Iranian patients with COVID-19.

BACKGROUND: COVID-19 is a public health emergency with a high mortality rate and it reduces the patient's Health-Related Quality of Life (HRQoL) significantly. This effect is measured in the current study. METHODS: In a cross-sectional study in Iran, 320 randomly selected treated patients from COVID-19 were studied. To collect the required data, we applied a questionnaire that included socio-demographic factors, clinical characteristics, and questions on the patients' HRQoL. Time trade-off (TTO) approach was used to measure the lost HRQoL attributed to COVID-19. Besides, we applied a two-limit Tobit regression model to determine the effects of the socio-demographic factors on patients' health utility and the visual analogue scale approach was used to estimate the perceived total current health status. RESULTS: The overall mean (SE) and median (IQR) of the health utility values were 0.863 (0.01) and 0.909 (0.21) respectively. These values for the traders (those who were willing to lose a part of their remaining time of life to avoid the disease) were estimated at 0.793 (0.01) and 0.848 (0.17), respectively. The lowest amount of utility value belonged to the elderly (mean (SE) = 0.742 (0.04); median (IQR) = 0.765 (0.42)) and those living in rural areas (mean (SE)) = 0.804 (0.03); median (IQR) = 0.877 (0.30)). The univariate analysis showed that age, place of residence, and household size had a statistically significant effect on health utility. Moreover, findings of the regression analysis indicated that the participants' age and hospitalization status were the key determinants of COVID-19 health utility value. CONCLUSION: COVID-19 is associated with a substantial and measurable decrease in HRQoL. This decline in HRQoL can be directly compared with that induced by systemic health states.

Physician induced demand for knee replacement surgery in Iran.

BACKGROUND: The structure of the Iranian health system has raised this hypothesis that a part of the Knee Replacement Surgery (KRS) services are provided due to Physician-Induced Demand (PID). METHODS: This paper used an unbalanced individual panel data covering the steady-state 15,729 KRSs performed by 995 surgeons provided by the Armed Forces Insurance Organization at the provincial level over the 60 months (2014-2018). We use a generalized method of moment's system (GMM-SYS) to obtain consistent and asymptotically efficient estimates, which provide a vital instrument for our dynamic panel data. RESULTS: The outcomes show that with unequal increasing orthopedic surgeons to population ratio, both the number and size of KRS services were increased significantly at a 1 % level. Given that the positive elasticity obtained for the service size was significantly larger than the number of services, the findings give strong support for the existence of PID in the Iran system for KRS care. Also, the raw and population-adjusted number of KRS, cost, and the surgery per active physician increased significantly at the monthly province level. CONCLUSIONS: This is the first time that the existence of PID in the Iranian health system is investigated using approved econometric models. The findings indicate that the health system structure has been provided the conditions for aggressive, costly, and high-risk services such as KRS to be exposed to PID.

Comparing the properties of the EQ-5D-5L and EQ-5D-3L in general population in Iran.

BACKGROUND: Little information exists on properties of EQ-5D-5L (the 5L hereafter) compared to the EQ-5D-3L (the 3L hereafter) measures in the context of Iran. This study aims to compare the measurement properties of the two versions of the EQ-5D (the 3L vs. the 5L) using data obtained from general population in Iran. METHODS: A total of 886 adults aged 18 years and above from September to November 2020 participated in this cross-sectional analysis. The required data collected using self-administered and-standard questionnaire and multistage sampling method was used to select the samples. The 3L and 5L measures compared in terms of celling effect, distribution and redistribution pattern, feasibility, convergent validity, know-groups validity and informativity. RESULTS: From September to November 2020, 886 adults (mean aged = 44.6 years; 55% male and 87.1% married) included in the study. The study indicated that the 5L had lower celling effects compared to the 3L (45% vs. 46%). A better convergent validity and known-groups validity was found for the 5L version compared to the 3L and significantly stronger association found between the 5L measure with both the Visual Analogue Scale and the 5-point health status scale. The 5L index score showed higher relative efficiency (RE) in 9 of 11 condition (mean RE = 1.36). Compared to the 3L, the 5L classification system had higher Shannon index (H') in all dimensions: mobility (0.52 vs. 0.40), self-care (0.23 vs. 0.20), usual activities (0.61 vs. 0.47), pain/discomfort (1.19 vs. 0.89) and anxiety/depression (1.22 vs. 0.47). CONCLUSION: The study demonstrated that the measurement properties of 5L version in terms of celling effects, convergent validity, known-groups validity, RE and informativity similar or better than the 3L among general population; suggesting the use of 5L in the context of Iran. Hence, we suggested the use of the 5L in economic evaluation, clinical and public health studies in Iran.

Catastrophic health expenditures for children with disabilities in Iran: A national survey.

OBJECTIVE: The aim of this study was to investigate the percentage of households with disabled children aged 0-8 years who had faced catastrophic health expenditures (CHEs) due to the health costs of these children in Iran. METHODS: This cross-sectional study was carried out on 2000 households with disabled children aged 0-8 years in five provinces of Iran in 2020. Data were collected using the World Health Survey questionnaire and face-to-face interview. Determinants of CHE were identified using logistic regression. RESULTS: 32.7% of households with disabled children had faced CHE. Head of household being female (Adjusted OR = 18.89, 95%CI: 10.88-29.42), poor economic status of the household (Q1: Adjusted OR = 20.26, 95% CI, 11.42-35.94; Q2: Adjusted OR = 8.27, 95%CI, 4.45-15.36; Q3: Adjusted OR = 13.88, 95%CI, 7.89-24.41), lack of supplementary insurance by a child with disabilities (Adjusted OR = 6.13, 95%CI, 3.39-11.26), having a child with mental disability (Adjusted OR = 2.71, 95%CI, 1.60-4.69), and type of basic health insurance (having Iranian Health Insurance: Adjusted OR = 2.20, 95%CI, 1.38-3.49; having Social security insurance: Adjusted OR = 1.66, 95%CI, 1.06-2.61) significantly increased the chances of facing CHE. CONCLUSION: A significant percentage of households with disabled children had faced CHE because of their disabled child's health costs. The key determinants of CHE should be considered by health policy-makers in order to more financial protection of these households.

Assessing horizontal equity in health care utilization in Iran: a decomposition analysis.

BACKGROUND: Despite the goal of horizontal equity in Iran, little is known about it. This study aimed i) to assess socioeconomic inequality and horizontal inequity in the healthcare utilization; and ii) to explore the contribution of need and non-need variables to the observed inequalities. METHODS: This study used national cross sectional dataset from Utilization of Health Services survey in 2015. Concentration Index (C), Concentration Curve (CC) and Horizontal Inequity index (HI) were calculated to measure inequality in inpatient and outpatient health care utilization. Decomposition analysis was used to determine the contribution of need and non-need factors to the observed inequalities. RESULT: Results showed the pro-poor inpatient services in both rural (C = - 0.079) and non-rural areas (C = - 0.096) and the pro-rich outpatient services in both rural (C = 0.038) and non-rural (C = 0.007). After controlling for need factors, HI was positive and significant for outpatient services in rural (HI = 0.039) and non-rural (HI = 0.008), indicating that for given need, the better off especially in rural make greater use of outpatient services. The HI was pro-poor for inpatient services in both rural (HI = - 0.068) and non-rural (HI = -0.090), was significant only in non-rural area. Non-need factors were the most important contributors to explain inequalities in the decomposition analysis. CONCLUSION: Disentangle the different contribution of determinants, as well as greater HI in rural areas for outpatient and in non-rural areas for inpatient services, provide helpful information for decision makers to re-design policy and re-distribute resource allocation in order to reduce the socioeconomic gradient in health care utilization.

The prevalence of physical inactivity in Iranian adolescents and the impact of economic and social inequalities on it: results of a National Study in 2018.

BACKGROUND: This study aims to determine the prevalence of physical inactivity in Iranian adolescents aged 10-12 years and the impact of socioeconomic inequality on it. METHODS: In this descriptive study, the study population consisted of 10-12 years old adolescents from an Iranian population from Kurdistan, Fars and Markazi provinces in 2018. The sample size was 1590 individuals. The sampling method was cluster sampling. Data was collected using demographic questionnaire, modifiable activity questionnaire (MAQ) and socioeconomic questionnaire. Cut points on the MAQ for light activity, moderate activity and heavy activity were MET< 3, MET = 3-6 and MET> 6, respectively. Linear and logistic regression were used to estimate the final model and the Oaxaca analysis method was applied. All analyses were performed in Stata/SE 14.0. RESULTS: Of the 1590 participants, 52.82% were male. The results showed that 25.79% of the subjects were physically inactive and 7.30% engaged in moderate physical activity during the week. The average physical activity during 1 week was more in boys than in girls (P-value< 0.05). Adolescents of mothers with secondary and high school education were more likely to have physical inactivity than mothers with a high school diploma or higher (AOR: 1.35, 95% CI: 1.02-1.77). The concentration index was -.11, indicating a greater concentration of physical inactivity in adolescents with low socioeconomic levels. CONCLUSION: One-fourth of the study population had physical inactivity in this age group. Socioeconomic levels, parental literacy, and sex of adolescents were associated with the level of physical activity.

Estimating utility value for female genital mutilation.

BACKGROUND: Female genital mutilation/cutting (FGM/C) is a clear violation of women's rights and can have adverse and irreversible health effects as well. Worldwide, more than 200 million women and girls have undergone FGM/C. Utility value of FGM/C has not been estimated yet, so we designed this study to extract the health utility value of FGM/C for the first time in the world. METHODS: In a cross-sectional study in Iran, 125 girls and women who underwent FGM/C procedure were examined by the trained midwives in order to determine its type. In addition, a questionnaire was completed for identifying the socio-demographic factors and extracting the health utility of these individuals. Health utility was measured using Time Trade-off method and also to determine the effects of the socio-demographic factors on the health utility a two-limit censored regression model was applied. RESULTS: The mean and median of the health utility of women with FGM/C were 0.971 (SE: 0.003) and 0.968 (IQR: 1-0.95), respectively. Number of non-traders was 58 (46.4%) who reported perfect health utility. However, the mean of health utility among traders was 0.946 (SE: 0.002). Only type 1 (Clitoridectomy) and type 2 (Excision) FGM/C were seen in this study. Women with Type 1 FGM/C had significantly lower health utility value (Mean: 0.968, Median: 0.957) than their type 2 counterparts (Mean: 0.987, Median: 1.00). Moreover, women in the age group of 31-45 years (Mean: 0.962, Median: 0.956), single (Mean: 0.950, Median: 0.954), divorced (Mean: 0.951, Median: 0.950), employed (Mean: 0.959, Median: 0.956), and with supplementary insurance (Mean: 0.962, Median: 0.950) had significantly lower health utility than their counterparts. CONCLUSION: FGM/C affects physical and psychological well-being of these individuals, resulting in a lack of personal and marital satisfaction, which ultimately leads to a 3% reduction in their health related quality of life. Therefore, preventing from this practice is very important and should be considered by health system policy makers more than before.

Effect of female genital mutilation on mental health: a case-control study.

Objectives: The study aimed to investigate the mental health status of women with female genital mutilation/cutting (FGM/C) and compare it with that of a similar group of women without FGM/C.Methods: A case-control study was carried out in 2018 among 122 women with FGM/C and 125 women without FGM/C who had been referred to one of the general health service centres in Kermanshah Province, western Iran. The 28 item General Health Questionnaire (GHQ-28) was used to collect data on participants' mental health. A multivariate logistic model with odds ratios (ORs) was used to determine the relationship of independent variables with the outcome variable, mental health status.Results: The mean age of the FGM/C and control groups was 35.7 (standard deviation [SD] 8.6) and 31.3 (SD 7.2) years, respectively. According to the GHQ-28 questionnaire, 65.6% (n = 80) of the FGM/C group and 52% (n = 65) of the control group had symptoms of a mental health disorder; the difference between the groups was statistically significant (p = .03). The prevalence of severe depression in the FGM/C group was significantly higher than in the control group (p = .021). Multivariate logistic regression showed that having a history of FGM/C (adjusted OR 1.79; 95% confidence interval [CI] 1.05, 3.05) and being in employment (adjusted OR 3.46; 95% CI 1.23, 9.74) had a significant effect on presentation with symptoms of a mental health disorder (p < .05).Conclusion: Women who suffer from FGM/C are more vulnerable to mental health disorders such as depression.

Can judgments according to case fatality rate be correct all the time during epidemics? Estimated cases based on CFR in different scenarios and some lessons from early case fatality rate of coronavirus disease 2019 in Iran.

Background: The new Coronavirus disease (COVID-19) was first identified in China in 2019. Case fatality rate (CFR) indicator of the disease is one of the most important indices noticed by experts, policymakers, and managers, based on which daily evaluations and many judgments are made. CFR can change during epidemics. This study aimed to estimate the actual number of COVID-19 cases in Iran and to calculate the early CFR for the disease based on official statistics. Methods: This was a descriptive study whose data were obtained from the website of the Ministry of Health and Medical Education of Iran from February 20, 2020 until March 26, 2020. CFR has been obtained by dividing the total number of deaths by the total number of confirmed cases at one point in time. In this study, the actual number of COVID-19 cases in Iran was estimated based on the mortality model in 4 scenarios. Excel 2013 software was used to analyze the data. Results: According to the findings of this study, In Iran, until March 26, 2020, a total of 27 017 people have been infected by COVID-19 and 2077 died of it. However, CFR indicator had a descending trend in Iran: 100%, 18.6%, 8.8%, 3.3%, 6.9%, and 7.7% on days 1, 5, 10, 20, 30, and 35, respectively. The actual number of COVID-19 cases in Iran was estimated to be 4 789 454, 2 873 673, 1 436 836, and 718418 as of March 26, 2020 according to the 4 scenarios, respectively. Conclusion: In emerging epidemics, CFR indicator must not be used as a basis to judge the performance of a health system unless that epidemic condition has been clarified. Moreover, it is suggested that in the outbreak of an epidemic, specifically emerging diseases, CFR must not be the base of judgment. Making judgments, specifically in the outbreak of emerging epidemics, based on fatality rate can lead to information bias. It is also possible to estimate the total number of patients based on the CFR in circumstances where little information is available on the disease.

The impact of health transformation plan on hospitalization rates in Iran: An interrupted time series.

OBJECTIVE: The study aims to assess the impact of health transformation plan (HTP) as a major health system reform on hospitalization rate in Iran. Health transformation plan adopted different measures to increase the coverage of basic health insurance, increase the quality of outpatient visit care, improve and expand the family physician program, expand health services to suburban areas, reduce out-of-pocket (OOP) payments for inpatient services, and update tariffs to more realistic ones. METHODS: We selected Kurdistan province, a province that was not a patient referral hub, for the collection of monthly hospitalization data over a period of 50 months. Interrupted time series (ITS) analysis was carried out, and segmented regression analysis was employed to assess the abrupt (or short-term) and gradual (or long-term) effects of HTP on hospitalization rate. RESULTS: Although before the intervention, there was no significant increase or decline in hospitalization rate in the Kurdistan province, after the implementation of HTP, a significant increase in the intercept and slope of hospitalization rate was observed (P < 0.001). CONCLUSION: Health transformation plan has improved the utilization of hospitalization care services in a province that historically had been suffering from underutilized hospital services.

The impact of health sector evolution plan on hospitalization and cesarean section rates in Iran: an interrupted time series analysis.

OBJECTIVE: To investigate the effect of the health sector evolution plan (HSEP) on hospitalization and cesarean section (C-section) rates in Kermanshah province in the western region of Iran. DESIGN: Interrupted time series analysis. SETTING: Hospital care system in Kermanshah province. STUDY PARTICIPANTS: Fifteen hospitals affiliated to Ministry of Health and Medical Education (MoHME) in Kermanshah province. INTERVENTION(S): Health sector evolution plan. MAIN OUTCOME MEASURES: Hospitalization rate and C-section rate. RESULTS: We observed a statistically significant increase in the hospitalization rate (12.9 hospitalizations per 10 000 population, P < 0.001) in the first month after the implementation of the HSEP. Compared with the monthly trend in hospitalization rate before the intervention, we found a significant increase of 0.70 hospitalizations per 10 000 population (P < 0.001) in monthly trend in hospitalization rate after the HSEP. Although the proportion of C-section from total deliveries decreased by 11% (P = 0.044) in the first month after the implementation of the HSEP, the proportion of C-section from total deliveries increased at the rate of 0.0017% (P = 0.001) per month during post-intervention period. CONCLUSION: We found an increase in the hospitalization rate after the intervention of HSEP. Although the C-section rate in the first month after the HSEP decreased, we observed an increasing trend in C-section rate over the study period; this implies that the HSEP did not promote vaginal delivery in Iran, which is outlined as one of the objectives of the intervention.

National action plan of the Islamic Republic of Iran for combating antimicrobial resistance during 2016 - 2021.

Background: Antimicrobial resistance (AMR) is one of the most important threats to health worldwide. Therefore, the World Health Organization (WHO) have invited countries around the world to work together to inhibit AMR, and all the member states are expected to prepare a national plan for tackling AMR by 2017. This project was aimed to prepare the National Action Plan of the Islamic Republic of Iran for combating antimicrobial resistance (NAP-IRIAMR) during 2016 to 2021. Methods: In this article, the literature and available documents were reviewed to identify key stakeholders. Moreover, interviews, brain storming sessions, and meetings with key stakeholders were held to determine NAP-IRIAMR objectives, strategies, policies, and indicators for monitoring and evaluation. To reach consensus and make a conclusion, participants' views and comments were analyzed using Delphi method and expert panel. Results: In this national action plan for combating AMR, 13 key stakeholders were identified and 5 objectives were set: (1) raising public awareness and increasing trainings on AMR, (2) continuous monitoring of AMR, (3) preventing the spread of microorganisms resistant to antimicrobials, (4) promoting the rational use of antimicrobials, (5) promoting research and development in the field of AMR. Conclusion: The NAP-IRIAMR was prepared for the years 2016- 2021. Intersectoral cooperation is needed to combat AMR. It is expected that implementing the NAP-IRIAMR and reaching the determined goals will help overcome the problems related to AMR.

National action plan of the Islamic Republic of Iran for combating antimicrobial resistance during 2016 - 2021.

Background: Antimicrobial resistance (AMR) is one of the most important threats to health worldwide. Therefore, the World Health Organization (WHO) have invited countries around the world to work together to inhibit AMR, and all the member states are expected to prepare a national plan for tackling AMR by 2017. This project was aimed to prepare the National Action Plan of the Islamic Republic of Iran for combating antimicrobial resistance (NAP-IRIAMR) during 2016 to 2021. Methods: In this article, the literature and available documents were reviewed to identify key stakeholders. Moreover, interviews, brain storming sessions, and meetings with key stakeholders were held to determine NAP-IRIAMR objectives, strategies, policies, and indicators for monitoring and evaluation. To reach consensus and make a conclusion, participants' views and comments were analyzed using Delphi method and expert panel. Results: In this national action plan for combating AMR, 13 key stakeholders were identified and 5 objectives were set: (1) raising public awareness and increasing trainings on AMR, (2) continuous monitoring of AMR, (3) preventing the spread of microorganisms resistant to antimicrobials, (4) promoting the rational use of antimicrobials, (5) promoting research and development in the field of AMR. Conclusion: The NAP-IRIAMR was prepared for the years 2016- 2021. Intersectoral cooperation is needed to combat AMR. It is expected that implementing the NAP-IRIAMR and reaching the determined goals will help overcome the problems related to AMR.

The effect of Iran's health transformation plan on utilization of specialized outpatient visit services: An interrupted time series.

Background: Health Transformation Plan (HTP) has been one of the biggest reforms in Iran's health system over the past 3 decades. The plan has been implemented since May 2014 and includes several packages that can affect the utilization of health care services. We aimed to assess the effect of implementation of HTP on utilization of specialist outpatient visit rate in clinics affiliated to university hospitals. Methods: We chose Kurdistan province to collect monthly specialist outpatient visit data for 50 months because this province was not a patient referral hub. An interrupted time series (ITS) analysis and segmented regression analysis were used to evaluate the effects of HTP on specialist outpatient visit rates. Statistical analyses were conducted using STATA version 13. Results: A significant increase was observed in the specialist outpatient visit rate (12.1 outpatient visit per 1000 population) in the first month after the implementation of HTP (p= 0.000, 95% CI= 6.36-17.83). Also, after the implementation of HTP, a significant increase was observed in the monthly trend of specialist outpatient visit rate equivalent to about 0.53 every month per 1000 population compared to the monthly trend in specialist outpatient visit rate before the intervention (p= 0.033, 95% CI= 0.04-1.01). Conclusion: HTP has significantly increased the specialist outpatient visit rate in clinics affiliated to university hospitals in Kurdistan province. Thus, it is necessary to perform some comprehensive studies on all public, private, and semi-private sectors in different parts of the country to provide a better and more comprehensive picture of the effects of HTP on utilization of specialist outpatient visit services.

Catastrophic health expenditure among households with members with special diseases: A case study in Kurdistan.

Background: One of the main goals of health systems is to protect people against financial risks associated with diseases that can be catastrophic for patients. In 2014, Health Sector Evolution Plan (HSEP) was implemented in Iran; one of the objectives of HSEP was to reduce out-of-pocket payments and provide more financial protection for people. Therefore, the present study aimed at exploring the likelihood of facing catastrophic health expenditures (CHE) among households with members suffering from dialysis, kidney transplant, or multiple sclerosis (MS) after the implementation of HSEP. Methods: A total number of 385 households were selected using stratified random sampling and were asked to complete the World Health Survey questionnaire through telephone conversations. As outlined by the World Health Organization (WHO), when household out-of-pocket expense for health services is ≥40% of its capacity to pay, then that household is considered to be facing CHE. Furthermore, determinants of CHE were identified using logistic regression. Results: The percentage of facing catastrophic health care expenditures for households with a MS, dialysis, and kidney transplant patient was 20.6%, 18.7%, and 13.8%, respectively. Results of logistic regression analysis revealed that patient's economic status, level of education, supplementary insurance status, type of disease, multiple members with special diseases in the household, rural residence, use of inpatient, dental, and rehabilitation services were effective factors for determining the likelihood of facing CHE. Conclusion: Despite the implementation of HSEP, the percentage of CHE is still high for households that have members who suffer from special diseases. However, basic health insurance packages should be amended and more cost-sharing exemptions should be granted to provide more financial protection for the vulnerable households.