INTRODUCTIONMaternal mortality is a tragic death, and is perceived as a sensitive indicator of the socioeconomic status and healthcare services in a given country. In this study, the relationship between maternal deaths and factors such as socioeconomic development and the proportion of medical professionals in Iran was examined.

METHODSThis was an ecological study, where three main groups of data based on different provinces were applied. Data included maternal mortality ratio, the proportion of medical professionals and socioeconomic variables, such as urban residency, unemployment and literacy. Data were obtained from various sources, including census returns, the Family Unit at the Ministry of Health and Medical Education, Tehran and the Iran Medical Council. Data were analysed using univariate and multivariate methodologies.

RESULTSMultivariate analysis showed a significant inverse relationship between maternal deaths and variables of male literacy (p < 0.001) and unemployment (p = 0.04). A marginally significant association was also found between maternal deaths and the proportion of midwives (p = 0.09).

CONCLUSIONOur findings underscore the role of literacy, particularly male literacy, in the prevention of maternal deaths. Iran, as a male-dominated society, could benefit from targeting men for training programmes to enhance the health of their families, and ultimately, that of the society. As economic status does play a role in maternal deaths, there is a need to strengthen the financial situation of families. The number of skilled medical personnel available in a population also plays a key role in reducing maternal deaths.

Educational Status ; Female ; Humans ; Iran ; epidemiology ; Male ; Maternal Mortality ; Midwifery ; manpower ; Multivariate Analysis ; Pregnancy ; Risk Factors ; Socioeconomic Factors ; Unemployment ; statistics & numerical data ; Urban Population ; statistics & numerical data

Network scale-up is an indirect size estimation method, in which participants are questioned on sensitive behaviors of their social network members. Therefore, the visibility of the behavior affects the replies and estimates. Many attempts to estimate visibility have been made. The aims of this study were to review the main methods used to address visibility and to provide a summary of reported visibility factors (VFs) across populations. We systematically searched relevant databases and Google. In total, 15 studies and reports that calculated VFs were found. VF calculation studies have been applied in 9 countries, mostly in East Asia and Eastern Europe. The methods applied were expert opinion, comparison of NSU with another method, the game of contacts, social respect, and the coming-out rate. The VF has been calculated for heavy drug users, people who inject drugs (PWID), female sex workers (FSWs) and their clients, male who have sex with male (MSM), alcohol and methamphetamine users, and those who have experienced extra-/pre-marital sex and abortion. The VF varied from 1.4% in Japan to 52.0% in China for MSM; from 34.0% in Ukraine to 111.0% in China for FSWs; and from 12.0% among Iranian students to 57.0% in Ukraine for PWID. Our review revealed that VF estimates were heterogeneous, and were not available for most settings, in particular the Middle East and North Africa region, except Iran. More concrete methodologies to estimate the VF are required.
Africa, Northern ; Bias (Epidemiology) ; China ; Drug Users ; Europe, Eastern ; Expert Testimony ; Far East ; Female ; Humans ; Iran ; Japan ; Male ; Methamphetamine ; Methods ; Middle East ; Sex Workers ; Ukraine

Network scale-up is an indirect size estimation method, in which participants are questioned on sensitive behaviors of their social network members. Therefore, the visibility of the behavior affects the replies and estimates. Many attempts to estimate visibility have been made. The aims of this study were to review the main methods used to address visibility and to provide a summary of reported visibility factors (VFs) across populations. We systematically searched relevant databases and Google. In total, 15 studies and reports that calculated VFs were found. VF calculation studies have been applied in 9 countries, mostly in East Asia and Eastern Europe. The methods applied were expert opinion, comparison of NSU with another method, the game of contacts, social respect, and the coming-out rate. The VF has been calculated for heavy drug users, people who inject drugs (PWID), female sex workers (FSWs) and their clients, male who have sex with male (MSM), alcohol and methamphetamine users, and those who have experienced extra-/pre-marital sex and abortion. The VF varied from 1.4% in Japan to 52.0% in China for MSM; from 34.0% in Ukraine to 111.0% in China for FSWs; and from 12.0% among Iranian students to 57.0% in Ukraine for PWID. Our review revealed that VF estimates were heterogeneous, and were not available for most settings, in particular the Middle East and North Africa region, except Iran. More concrete methodologies to estimate the VF are required.
Africa, Northern ; Bias (Epidemiology)* ; China ; Drug Users ; Europe, Eastern ; Expert Testimony ; Far East ; Female ; Humans ; Iran ; Japan ; Male ; Methamphetamine ; Methods* ; Middle East ; Sex Workers ; Ukraine

Network scale-up is an indirect size estimation method, in which participants are questioned on sensitive behaviors of their social network members. Therefore, the visibility of the behavior affects the replies and estimates. Many attempts to estimate visibility have been made. The aims of this study were to review the main methods used to address visibility and to provide a summary of reported visibility factors (VFs) across populations. We systematically searched relevant databases and Google. In total, 15 studies and reports that calculated VFs were found. VF calculation studies have been applied in 9 countries, mostly in East Asia and Eastern Europe. The methods applied were expert opinion, comparison of NSU with another method, the game of contacts, social respect, and the coming-out rate. The VF has been calculated for heavy drug users, people who inject drugs (PWID), female sex workers (FSWs) and their clients, male who have sex with male (MSM), alcohol and methamphetamine users, and those who have experienced extra-/pre-marital sex and abortion. The VF varied from 1.4% in Japan to 52.0% in China for MSM; from 34.0% in Ukraine to 111.0% in China for FSWs; and from 12.0% among Iranian students to 57.0% in Ukraine for PWID. Our review revealed that VF estimates were heterogeneous, and were not available for most settings, in particular the Middle East and North Africa region, except Iran. More concrete methodologies to estimate the VF are required.

BACKGROUND: This is the first study on the blood donation trend in Iran at a national level. We report different characteristics of blood donation such as demographic status, donor type, donation trend, and geographical distribution of blood donation in Iran between 2003 and 2017.METHODS: This study used data registered in the donor vigilance part of the Iranian Blood Transfusion Organization. Statistical analysis was conducted using SPSS (SPSS Inc., Chicago, IL, USA) and ArcMap GIS version 10.2 software. A P-value <0.05 was considered statistically significant.RESULTS: Based on the study results, blood donation in Iran reached >2 million units in 2017; moreover, it is predicted that Iran will achieve >29 donations per 1,000 population in 2022. The proportion of regular and repeated donors increased from 77% in 2013 to 87% in 2017. The average blood donation rate in seven provinces was higher than the national average, and the average growth rate of their blood donation per population was positive.CONCLUSION: The results of the current study showed that there is a recent increasing trend toward blood donation in Iran. Furthermore, the largest share of donations is related to regular donors. The increasing proportion of regular and repeated donors has led to the improvement in the quality and consequently health level of donated blood.
Blood Donors ; Blood Group Antigens ; Blood Transfusion ; Health Status ; Humans ; Iran ; Tissue Donors