Determinants of Neonatal, Infant and Child Mortalities in Iran: A Systematic Review.

Background: Children mortality is considered as one of the main indicators of population development and health, while most of the children's deaths are preventable. This study systematically reviewed the determinants of children mortality in Iran. Methods: This systematic review was conducted to summarize all the factors associated with children mortality in three age groups; Neonate (0-28 d), Infant (28 d-1 yr old) and children (<5 yr old), based on the PRISMA guideline. Many of the electronic international and national databases, in addition to hand searching of reference of selected articles, grey literature, formal and informal reports and government documents were screened to identify potential records up to Jan 2022. We included all studies that identified determinants of child mortality in any province of Iran or the whole country, without any restriction. Results: Overall, 32 studies were included, published between 2000 and 2022, of which 23 were cross-sectional and 15 published in Farsi language. The associations between several risk factors (n=69) and the child mortality were examined. Among the identified factors, 'birth weight', 'mother's literacy', 'socioeconomic status', 'delivery type', 'gestational age', 'pregnancy interval', 'immaturity', 'type of nutrition', and 'stillbirth' were the most important mentioned determinants of child mortality in Iran. Conclusion: Appropriate interventions and policies should be developed and implemented in Iran, addressing the main identified associated factors, resulting from this review study, with the aim of minimizing preventable child deaths, based on their age categories.

Inpatient healthcare utilization among people with disabilities in Iran: determinants and inequality patterns.

BACKGROUND: People with disabilities (PWD) have different health service needs and different factors affect the utilization of these services. Therefore, the aim of this present study was to identify determinants of inpatient healthcare utilization among PWDs in Iran. METHODS: This research was a secondary data analysis of a cross-sectional study. The present study used data gathered for 766 PWDs (aged 18 years and older) within the Iranian Society with Disabilities (ISD) between September and December 2020. Multiple logistic regression models calculated adjusted odds ratios (aOR) and 95% confidence intervals in order to identify determinants of inpatient healthcare utilization among PWDs. RESULTS: Data for 766 people with disabilities were analyzed. A large number of participants were over 28 years of age (70.94%), male (64.36%), and single (54.02%). In the present study, more than 71% of participants had no history of hospitalization during the last year. In this study, males [aOR 2.11(1.14-3.91), participants with Civil Servants health insurance coverage [aOR 3.44 (1.16 - 10.17)] and individuals in the 3th quartile of disability severity [aOR 2.13 (1.01 - 4.51)] had greater odds of inpatient healthcare utilization compared to the other groups. The value of the concentration index (C) for inpatient healthcare utilization was - 0.084 (P.value = 0.046). The decomposition analysis indicated that gender was the greatest contributor (21.92%) to the observed inequality in inpatient healthcare utilization among participants. CONCLUSION: Our findings suggested that the likelihood of hospitalization among the study participants could be significantly influenced by factors such as gender, the health insurance scheme, and the degree of disability severity. These results underscore the imperative for enhanced access to outpatient services, affordable insurance coverage, and reduced healthcare expenditures for this vulnerable population. Addressing these issues has the potential to mitigate the burden of hospitalization and promote better health outcomes for disadvantaged individuals.

Role of family factors in provision and perception of social support for older people in Iran: a cross-sectional survey.

BACKGROUND: Iran has experienced a very fast fertility transition. The process of demographic transition, coupled with modernization, has had considerable consequences for the structure and function of families. There is rising concern in Iran about a potential decline in family care and support for older people as a result of these changes. The main aim of this study was to provide a benchmark by examining current associations between family factors and older people's social support, both perceived and received. METHODS: A cross-sectional survey of a random sample of 644 people aged 60 + years resident in Tehran was conducted using stratified cluster random sampling method in 2015. Outcome variables were perceived social support, as measured by Social Provision Scale, and received instrumental social support. Multilevel mixed-effects models were used to examine the hypotheses. RESULTS: The analyses showed that most of the family factors measured, including family size (p = 0.01), living arrangements (p = 0.05), and amount of contact with family members (p = 0.001) were associated with older people's receipt of instrumental social support. Living arrangements and quality of relationships with family members were associated with older people's perceptions of social support (p < 0.001). Also, a significant gender interaction was found in associations between family size and SPS (p = 0.03). Having a large size family was positively associated with higher SPS for women (Coef. = 3.9, p = 0.009) but not for men (Coef. = -0.4, p = 0.7). CONCLUSION: findings of this study support the premise that most of family factors play an important role in provision and perception of social support for Iranian older people. Further policies should mostly be selective of those at higher risk of low support such as widowed, childless, those living alone, having poor relationship with their relatives and those with worse health status. The results of this study may be utilized to target older populations who are at higher risk of low support with innovative programs that focus on building social networks and enhancing social support.