Rate In Iran Research Articles

A Systematic Review and Meta-analysis of the Medical Error Rate in Iran: 2005-2019.

Medical errors (MEs) are one of the main factors affecting the quality of hospital services and reducing patient safety in health care systems, especially in developing countries. The aim of this study was to determine the rate of ME in Iran. This is a systematic literature review and meta-analysis of extracted data. The databases MEDLINE, EMBASE, Scopus, Cochrane, SID, Magiran, and Medlib were searched in Persian and English, using a combination of medical subject heading terms ("Medical Error" [Mesh] OR "Medication error" [Mesh] OR "Hospital Error" AND ("Iran" [Mesh]) for observational and interventional studies that reported ME rate in Iran from January 1995 to April 2019. We followed the STROBE checklist for the purpose of this review. The search yielded a total of 435 records, of which 74 articles were included in the systematic review. The rate of MEs in Iran was determined as 0.35%. The rates of errors among physicians and nurses were 31% and 37%, respectively. The error rates during the medication process, including prescription, recording, and administration, were 31%, 27%, and 35%, respectively. Also, incidence of MEs in night shifts was higher than in any other shift (odds ratio [OR] = 38%; 95% confidence interval [CI]: 31%-45%). Moreover, newer nurses were responsible for more errors within hospitals than other nurses (OR = 57%; 95% CI: 41%-80%). The rate of reported error after the Health Transformation Plan was higher than before the Health Transformation Plan (OR = 40%; CI: 33%-49% vs OR = 30%; CI: 25%-35%). This systematic review has demonstrated the high ME rate in Iranian hospitals. Based on the error rate attributed solely to night shifts, more attention to the holistic treatment process is required. Errors can be decreased through a variety of strategies, such as training clinical and support staff regarding safe practices and updating and adapting systems and technologies.

Investigation of Antioxidant Status in Coronary Artery Disease Patients

Background: Cardiovascular disease (CVD), particularly coronary artery disease (CAD), constitutes the leading cause of death across the world. They are responsible for the highest mortality rate in Iran. The traditional risk factors for CAD are smoking, obesity, hypertension, family history, diabetes mellitus, and hyperlipidemia. Furthermore, enhanced oxidative stress is known as a novel risk factor for CAD. Objectives: The associations of oxidative and antioxidative markers were investigated relative to the occurrence and severity of CAD. Methods: A total of 286 participants, including 141 males and 145 females aged 30 - 70, were classified as CAD case and control groups, based on their coronary angiography results. The CAD severity scoring was done based on the number and extent of lesions in coronary arteries. The activity of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), and Total antioxidant capacity (TAC) was assayed using the ferric reducing ability of plasma (FRAP) method. Meantime, malondialdehyde (MDA) was measured as a lipid peroxidation product. Results: The results demonstrated a significant increase in SOD activity (P = 0.019) and the uric acid concentration (P = 0.000) of CAD patients compared to the control group. Although no change was seen in GPx and CAT activity, as well as FRAP and MDA, a significant positive correlation was found between CAT and SOD activity (P = 0.011) and between FRAP and uric acid (P = 0.000) levels. Conclusions: The results suggest that some antioxidants are significantly associated with the severity of CAD, thereby helping predict the risk of cardiovascular events. However, extra studies are needed to endorse the significance of these findings.

Analysis of pedestrians’ behaviour: A segmentation approach based on latent variables

Crash statistics indicate that the number of pedestrian fatalities has been increasing at an alarming rate in Iran. Crossing over non-designed places is a main cause of traffic crashes among pedestrians. This study aimed to investigate how perceptions about walking facilities and risk-taking affect pedestrians’ crossing behaviour. A stated preference questionnaire was designed and a random sample of 390 pedestrians were interviewed face-to-face in two regions of Tehran with three options for pedestrians to cross (overpass, zebra crossing, and non-designed places (NDP)). Exploratory factor analysis (EFA) resulted in three latent dimensions: risk-taking/conformity, pedestrians’ perception of overpass, and NDP. Then, data were classified based on latent variables using K-means cluster analysis. Clustering resulted in four groups: group 1 (Cautious; negative perception of overpasses; positive perception of NDP), group 2 (Cautious; negative perception of overpasses; negative perception of NDP), group 3 (Cautious; positive perception of overpasses; negative perception of NDP), and group 4 (Risk-taker; negative perception of overpasses; negative perception of NDP). Finally, a Multinomial Logit Model (MNL) was developed for four groups of pedestrians. The results show that pedestrians’ behaviour differentiate based on latent variables. It was found that being accompanied by a child increases the probability of using an overpass even for pedestrians in group 4 with high risk-taking propensity, but it was more important for pedestrians in group 3 who held positive perceptions of overpasses and negative perceptions of NDP. Also, during congestion, group 4 was more inclined to cross at NDP. It was concluded that in the first group, unsafe choices among student respondents could be associated with their facility perceptions rather than their risk-taking/conformity. Results of this study can be helpful in selecting more appropriate locations for overpasses and crosswalks installation based on pedestrians’ behaviour.

Effectiveness of the Education Based on the Theory of Planned Behavior on Childbearing Intention in Single-child Women

Introduction: Rapid decline of the total fertility rate in Iran in recent decades has caused serious demographic challenges to the country. One important reason for this decrease is single-child behavior adopted by Iranian families. Objective: The present study was conducted to assess the effectiveness of education based on the Theory of Planned Behavior (TPB) on childbearing intention in single-child women. Materials and Methods: This randomized field trial with the pretest-posttest design was done on 72 single-child women presenting to health centers in Mashhad City, Iran, in the intervention (37 persons) and control (35 persons) groups from August 2019 to February 2020. Research tools included a demographic and obstetric questionnaire and a researcher-made childbearing intention questionnaire based on TPB. The intervention group received three 110-min sessions of education, which was based on TPB. The control group received routine health center care. The study data were analyzed by using the Kolmogorov-Smirnov, Shapiro-Wilk, Independent t-test, Mann-Whitney U test, repeated measures Analysis of Variance (ANOVA), Freidman test, post hoc tests of Bonferroni and Dunn, the Spearman rank correlation coefficient, and the Generalized Estimating Equation (GEE) model. Results: The mean±SD age of the participants were 32.6±4.7 and 32.9±4.7 years in the intervention and control groups, respectively, and most of the women had university-level education in both groups. Changes in childbearing intention from the pre-intervention stage were significantly higher in the intervention group than the control group immediately (P=0.001) and then one month after the intervention (P=0.001). The results of the GEE model showed that the childbearing intention was significantly higher in the intervention group (β=0.68, 95% CI; 0.449-0.911, P=0.001,), and there was a significant positive relationship between attitude and childbearing (β=0.023, 95% CI; 0.013-0.033, P=0.001). Conclusion: Education based on the theory of planned behavior increased childbearing intention in single-child women in this study, so this educational program is advised for promoting childbearing.

Prevalence of Rheumatic Heart Disease in Iran: A Systematic Review and Meta-analysis

Context: Rheumatic Heart Disease (RHD) remains the prominent cause of morbidity and mortality among young individuals in developing countries. The present research aimed to estimate the prevalence of RHD in Iran. Data Sources: In this review, all population-based studies with a sample size of ≥500 participants related to the prevalence of RHD were included. The search was conducted in national and international databases. The combination of medical subject headings and free-term text items concerning the incidence, prevalence, rheumatic fever, RHD, and Iran were used in this study. Data Extraction: In this systematic review, 490 papers were identified. A total of 296 articles were screened; of which, 9 qualified articles were selected for the final data analysis. All studies were of cross-sectional, and descriptive natures. Two authors used the data extraction form to independently extract relevant data from the included studies. Disagreements between the authors were reconciled through discussion and consensus. Results: The overall prevalence of RHD was calculated as 0.02% (20/100000 population). This prevalence rate is estimated based on studies conducted in the northern, southern, eastern, western, and central regions of the country; therefore it could be an estimation of the relevant prevalence rate in Iran. However, there were no updated and high-quality data in this regard. Thus, the reported rate might be underestimated. Conclusions: There is a need for a nationwide survey to investigate the precise prevalence of RHD in Iran. This can be achieved by creating a national database of RHD.

Getting Closer to Our Unpleasant Previse: Possible Rise in Suicide Rate in Iran During COVID-19 Pandemic

Getting Closer to Our Unpleasant Previse: Possible Rise in Suicide Rate in Iran During COVID-19 Pandemic

Investigating the fluctuations of exchange rate based on monetary‐behaviour approach

AbstractThe purpose of this study is to investigate the excessive changes in the exchange rate in Iran during 2018 due to extreme speculation in the monetary and currency markets caused by numerous economic and political factors such as accumulated excessive liquidity, severe sanctions and foreign pressures. Based on purchasing power parity (PPP) theory, the foreign exchange rate has to be adjusted with the inflation rate. However, this study showed that in the critical situations the PPP theory, which adopts a long‐term and backward‐looking approach, no longer works, and instead the market tends to adopt a short‐term and prospective approach to exchange rates. In this study, the economic data of Iran and the United States were gathered from late 1978 to 21 September 2018, and by adding three other economic factors, including the difference of average annual growth rate of GDP per capita of 2% between the two countries, indicator of risk in low volatility period (1.16%) and high volatility one (1.49%), a new and risk‐based approach is presented based on the low and high volatility of the exchange rates to address the excessive changes not explained by conventional theories.

Annual forecasting of inflation rate in Iran: Autoregressive integrated moving average modeling approach

AbstractBox‐Jenkins methodology is one of the most famous modeling approaches to describe the underlying stochastic structure and forecasting future values of various phenomena. In this methodology, the models are of type ARIMA, that is, autoregressive integrated moving average. Some advantages of those include robustness, easiness to use, and wide applicability in various disciplines ranging from engineering to economics. Inflation has been a highly discussed issue in economics. This research focuses on modeling and forecasting the yearly inflation rate of Iran from 1960 to 2019 using ARIMA. According to various measures, different ARIMA models are investigated to confirm their effectiveness. It is here showed that non‐seasonal ARIMA (1,0,0) is the most appropriate model for this application.

Estimation of Cardiovascular Disease Risk Factors in the Undefined Participants of Campaign in Isfahan in 2017.

Background:The cardiovascular mortality rate in Iran has been reported 65% of all death recently. Despite the high prevalence of cardiovascular diseases (CVD) risk factors and its burden in developing countries, public awareness of CVD symptoms and its risk factors are very low, leading to poor control of these risk factors.Methods:Our study is a cross-sectional study that was conducted in an undefined sample of 163 individuals who participated in a public health campaign. We used a validated questionnaire containing demographic, cardiovascular history, family history, lifestyle (exercise, smoking, alcohol, and environment), stress, sleep, bowel toxicity, blood sugar, inflammation/pain, and diet parts for estimating total cardiovascular risk factor.Results:52.7% of our participants were male. The mean age of our participants was 42.6 ± 47.27 years. Half of our participants (50.3%%) were between 30 and 60 years. 12.3% of the participants were diagnosed with CVD. 12.8% were smokers and 25.8% were passive smokers. 73% of our participants had a high level of stress in their individual and work life. 35.5% of participants sleep less than 6 h per night. Half of them complained of initial or intermittent insomnia. 51.5% of our participants were at high or very high risk for CVD with three or more relative risks. There was a significant association between total cardiovascular risk and blood pressure, weight, sleep, and lifestyle in our population.Conclusions:More than half of our participants were on high or very high risk for CVD. The most common risk of CVD events in our participants is attributed to hypertension. Weight, sleep, and lifestyle were other modifiable risks that had a significant association with CVD in our study.

Study Articles In The Journal Of Studies In Arabic Language And Literature From A Content Analysis Perspective/ دراسة مقالات مجلة دراسات في اللغة العربية وآدابها من منظار التحلیل المحتوی والاقتباسي

As articles' production is growing at an increasing rate in Iran and the world, there is an urgent need for criteria to evaluate scientific publications. This will be achieved by using scientific evaluation. Who benefits from analyzing the information. The Journal of Studies in Arabic Language and Literature is considered one of the accredited and essential magazines in Arabic language and literature in Iran. University and educational institution. This article dealt with a statistical and analytical study of the number of article writers, their testimonies, the extent of cooperation between them, the centers and institutions active in the magazine. Moreover, From this standpoint, the article obtained the following results: 85 articles were written individually, 101 articles were also written jointly, 77 articles were jointly written with the cooperation of university colleagues, and 24 articles were written with the cooperation of different persons from different universities. Shaker Al Ameri and Wafiq Mahmoud Solitain became the most prolific authors with eight articles. Half of the essay topics are devoted to criticism, fiction, and text analysis. Fifty articles were written by the editorial staff with an average of 88/26, which is a large number.

A A Scenario-based Modelling Study of the Prevention of Myocardial Infarction in Iran : A Scenario-based and Modeling Study on the Prevention of Heart Attack in Iran

Background and Objectives: Globally, cardiovascular disease (CVD) is the number one cause of mortality. In this regard, this study aimed to provide policies for the management of CVD by focusing on the reduction of myocardial infarction (MI) mortality rate in Iran. Materials and Methods: The sequential mixed methods design will be employed to foresight the prevalence of MI in Iran in the next 10 years. This study consists of five phases and in the first phase, the risk factors of cardiovascular disease will be investigated using a systematic review. In the second phase, the uncertainty and impact of those factors will be demonstrated by the experts. Moreover, the impact/uncertainty grid will be used to identify the drivers that are less important and critical uncertainties. In the third phase, the cross-impact matrix will be developed by Scenario wizard, and the scenario logic and the scenarios will be developed. Once the scenario logic is established, details can be added to the scenarios. The next phase consists of statistical estimations of the rate of mortality due to heart attack using artificial neural networks. Finally, the policies will be developed based on the opinions of the panel of experts. The initial results will be published in mid-2020. Results: This future study will develop policies to prevent from MI with scenario-based and modeling approaches. The findings can be useful for healthcare professionals and it can improve our understanding of the future of MI to enhance the management of MI patients. Conclusion: The obtained policies will help policymakers to make evidence-based decisions, re-design structures, and processes of healthcare interventions, and also plan to decrease MI mortality rate.

The evaluation of an educational intervention based on Pender’s health promotion model for patients with myocardial infarction

ABSTRACT Despite advances in drug treatment and surgical interventions for the care of myocardial infarction, it has a high morbidity and mortality rate in Iran. In order to stop or reverse this trend, educational interventions based on various models are necessary. To determine the effect of an educational intervention based on Pender’s health promotion model on lifestyle, related factors, and clinical outcomes of patients with myocardial infarction, a clinical trial study was conducted. Patients were randomly allocated to two groups of educational intervention based on Pender’s model (n = 50) and the control group (n = 50). Educational sessions included eight 45-minute sessions held twice per week. Data gathering instruments were completed by the groups before and three months after intervention. The total mean of lifestyle, cardiac knowledge, perceived benefits of behavior, cholesterol, and triglycerides rates were significantly improved in the intervention group. Evaluation of the findings confirmed the effect of this educational model on healthy behaviors of patients with Myocardial Infarction.

Spatial distribution of vaccine-preventable diseases in central Iran in 2015–2018: A GIS-based study

Vaccination is the second most effective health measure to maintain public health and prevent diseases after providing safe drinking water. This study aimed to determine the geographical distribution of vaccine-preventable diseases (VPDs) in Qom Province in four years (2015–2018) using Geographic Information System (GIS). In this cross-sectional study, the indicators of VPDs surveillance were extracted from the VPDs surveillance system at the Centers for Disease Control and Prevention (CDC) in Qom University of Medical Sciences. They were further evaluated, and the incidences of VPDs in the study years were investigated. Finally, the spatial distribution map of VPDs was provided for surveillance quality in each Qom district by Arc GIS 10.3 software. The annual incidence rate (AIR) was estimated to be 18.47 for hepatitis B, 0.29 for measles, 0.13 for rubella, 0.09 for pertussis, 0.29 for diphtheria and 0.91 for acute flaccid paralysis (AFP). The highest incidences of AFP, rubella and measles were observed in Markazi district. Salafchegan was a district with the highest incidence of diphtheria, and the highest incidence rate of hepatitis B was observed in Khalajestan district. In addition, all pertussis cases were reported from Qom city. According to thematic maps of GIS, the annual incidence rate of VPDs in Qom Province was lower than the mean rate in Iran. Nevertheless, it is highly recommended that a high immunization coverage should be done in the childhood and good surveillance indicators such as non-disease discarded rate, and the proportion of suspected cases with an adequate investigation should be used to monitor VPDs.

Evaluation of Aesthetic and Functional Outcomes After Open Rhinoplasty: A Quasi-experimental Study by the Aid of ROE and RHINO Questionnaires.

Rhinoplasty is one of the common plastic surgery procedures which has a high rate in Iran. There are several tools for assessing the outcomes and quality of life after this surgical procedure which rhinoplasty outcome evaluation (ROE) questionnaire and rhinoplasty health inventory and nasal outcomes are two of them. The aim of this study was to investigate the aesthetic and functional outcomes of rhinoplasty by the aid of ROE and RHINO scales in patients who presented to a referral center in Iran. This prospective, quasi-experimental study was performed on patients who referred to the plastic surgery clinic of Imam Khomeini hospital complex during 2017 to 2019 and underwent open rhinoplasty. ROE and RHINO questionnaires were filled by patients before and 6months after the surgery. Surgical outcomes and aesthetic satisfaction rate were evaluated in different age groups, genders and educational levels. The data were analyzed by version 21 of SPSS software. ROE score increased from 51.27 ± 10.54 to 79.6 ± 9.67 (P < 0.001). In addition, RHINO score increased from 64.13 ± 11.43 to 83.36 ± 11.03 (P < 0.001). The most common satisfaction factors among patients in this study were "nose feels more natural" in 62% of patients and "tip rotation is good" in 32% of patients. Furthermore, the most common causes of dissatisfaction in patients were "nose too wide" in 25% of patients and "tip bulbous" in 25% of patients. ROE and RHINO scales are effective for assessing rhinoplasty outcomes. The satisfaction rate of rhinoplasty is high in Iran and is related to the natural shape of the nose in addition to the tip rotation. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Effectiveness of an Educational Intervention Based on the Theory of Planned Behavior on Fertility Intention of Single-child Women: A Field Trial Study

Aims: Fertility is an important factor for population growth and its proportion. Regarding the overall decrease in the total fertility rate in Iran and reaching below the replacement rate, this study aimed at determining the effect of the education based on the Theory of Planned Behavior (TPB) on women’s fertility intention. Methods &amp; Materials: This interventional study was conducted on 100 pregnant women of reproductive age covered by the Gonabad community health centers. The subjects were selected through two-stage cluster sampling and randomly assigned to the control and experimental groups (n=50 per group). Data were analyzed using SPSS V. 20 and Independent t-test, paired t-test, and Chi-square test. Findings: There was no significant difference between the demographic characteristics of the subjects in the experimental and control groups. Before the intervention, there was no significant difference between the mean score of the theoretical constructs between the two groups. After the intervention, the mean score of attitude (P=0.014), perceived behavioral control (P=0.042), and behavioral intention (P=0.005) were significantly different between the two groups. Conclusion: The results showed that the educational intervention based on TPB could positively affect the fertility intention of single-child women. Hence, it is suggested to use this model in educational programs related to population growth policy and to plan interventions encouraging couples to have another child.

Predicting the Prevalence of COVID-19 and its Mortality Rate in Iran Using Lyapunov Exponent

Background: COVID-19 was first reported in late December 2019 in Wuhan, China, and spread rapidly throughout the world including Iran. Objective The purpose of this paper is to predict the prevalence of coronavirus and the number of confirmed cases and deaths in Iran based on the theory of chaos and measuring the Lyapunov exponent. Methods: In this analytical study, the number of confirmed cases, recovered patients, total tests, and deaths between February 20 and May 30, 2020 were collected daily from the website of the Iranian Ministry of Health and Medical Education. The prevalence rate and the time to reach saturation in a short period were estimated using a formula using Lyapunov exponent and the initial and final number of confirmed cases in Matlab software. Findings: Simulation of all confirmed cases between 20 February 2020 to 4 May 2020 show the number of people infected with the coronavirus would be close to saturation, but in end of May 2020 the number of people with the disease re-entered the second phase of increase. The slope of the simulation curve decreases in the second phase and the virus spreads in May at a slower rate than in the first phase (April). The simulation diagram of the total confirmed patients to the total number of tests performed also shows the entry into the second phase of increasing in May. Conclusion: Simulation results of all confirmed cases and total deaths in Iran, using chaos theory and the Lyapunov-based model, can properly represent the real data and can predict the trend of spread and time to approach saturation in a short time. Sensitivity to the initial condition in the equation by changing the quarantine restrictions and the observance of health protocols causes a change in the rate of total number of confirmed patients enters the third or fourth increasing phase. Also, based on the calculated deaths, it is predicted that the total number of deaths at the end of May will reach less than 5% of the total number of people who have recovered and died.

Investigating the Impact of Research and Development Costs, Rule of Law and Drought on Agricultural Growth Rate in Iran

The agricultural sector is one of the most important sectors of the Iranian economy that have various factors affecting its growth. Drought is one of the natural factors affecting this sector. Nowadays, knowledge is the main factor of growth, production and solving different problems in countries. Research and development (R&D) costs and the rule of law index are indicators of the knowledge economy. The purpose of this study was to investigate the impact of drought, R&D costs and rule of law on the growth rate of Iran′s agricultural sector. For this purpose, the casual Bayesian network method was used and data were collected for the period 2002-2017. The results showed that increasing the growth rate of R&D costs, increasing the rule of law index and placing Iran in wet conditions increased the agricultural water productivity and growth of this sector. Increasing R&D costs showed the best performance in improving the drought index. The highest probability of drought index was in the high condition with probability of 24.2% with 100% probability of R&D. The Rule of Law scenario showed the best performance in reducing water use in agriculture. So, by placing the rule of law probability in high position, the highest probability of growth of agricultural water use was in the low position with probability of 50.5%. Therefore, increasing R&D costs and targeting them, as well as enforcing laws and policies in various fields such as water resources can help increase water productivity in the agricultural sector and growth this sector.

Rural-Urban Disparity of Under-Five Mortality Rate in Iran from 1990 to 2015

To estimate under-five mortality rate (U5MR), as one of the sustainable development goals, in rural and urban areas of Iran from 1990 to 2015. We used the data collected through two censuses and one Demographic and Health Surveys (DHS). We analyzed the Summary Birth History (SBH) data via 2 approaches including Maternal Age Cohort (MAC) and Maternal Age Period (MAP) methods, and then, Gaussian Process Regression (GPR) was used to combine the three trends and with 95% uncertainty. Finally, Ratio of U5MR in rural to urban was calculated. At the national level and in urban areas, U5MR in 1990, 2000, 2010, and 2015 was 66, 34, 18, and 13 per 1000 live births, respectively. Corresponding values in rural areas in 1990, 2000, 2010, and 2015 was 129, 64, 31, and 21 per 1000 live births, respectively. Accordingly, the ratio of U5MR in rural to urban at the national level was 1.93, 1.86, 1.72 and 1.63 in the same years. At the sub-national level, U5MR in urban areas ranged from 11.2 per 1000 live births in Isfahan to 18.2 per 1000 live births in Hormuzagn. U5MR in rural areas ranged from 14.1 per 1000 live births in Isfahan to 29.5 per 1000 live births in Sistan and Baluchistan. There is still a gap between rural and urban areas, although it has decreased during the 25 years of the study. To alleviate this gap, health system authorities are advised to plan appropriate actions using multi-sectoral capacities.

Child Mortality Rate in Iran Compared with Other Eastern Mediterranean Countries Based on WHO Report in 2017

The article's abstract is no available.

Exploring Change in Trend of Homicide Incidence Rate in Iran from 2006 to 2016: Applying Segmented Regression Model.

Background: Murder is one of the public health problems. According to the WHO reports, murder is fourth leading cause of death among young people. The aim of this study was applying joint point regression model to study trend of homicide mortality in Iran, 2006-2016. Study design: A cross-sectional panel (pseudo-panel) study. Methods: Homicide data during 2006 to 2016 were extracted from Iranian legal medicine organization. Trends of homicide incidence were summarized by annual percent change (APC) and average annual percent change (AAPC) using non-linear segmented regression model. Results: Totally, 26918 homicide cases occurred during the period from 2006 to 2016. The highest and lowest frequency was related to the 15-29 yr (46.5%) and 0-4 yr (1.5%) age groups, respectively. The homicide incidence rate of the country in 2016 was 2.81 per 100,000. The four provinces of Sistan & Baluchistan, Khuzestan, Kerman and Ilam had the highest incidence rate in 2016, respectively. During the study period, the incidence rate of homicide in Iran and men have been significantly decreased (APC: -2.8% (95% CI: -3.9, -1.7) and -3.2% (95% CI: - 4.5, -1.8) respectively (P <0.001)). Conclusion: The pattern of homicide rate has a downward trend in the country. Moreover, the varying observed trends in some provinces can be due to the variability in mental, geographical, socio-economic and cultural conditions in each region.