A Kassani, M Gohari, M Mousavi, M Asadi Lari, M Rohani, M Shoja,
Volume 8, Issue 2 (20 2012)
Abstract
Background and Objectives: Social capital consists of
individuals' communicational networks, social norms such as mutual trust and
cooperation in social networks. The aim of this study was to develop a model to
assess the implication of different determinants such as age, gender,
occupational status, mental and physical health on social capital components to
draw a correlation network for social capital determinants.
Methods: For the purpose of this study, data
was used from ‘social capital' section of Urban HEART-1 survey, which included
22,500 households from all 22 districts of Tehran, who were approached in a
randomized multistage cluster sampling method. Path analysis is a statistical
method to test hypothetical causal models, which requires various causal (path)
diagrams. To demonstrate the causal models of social capital, the hypothetical
paths of various components were developed and the final model of social
capital was drawn using multiple regression analyses.
Results: Path analysis indicated that social
capital components are influenced by various variables: A) Individual trust, by
occupational status, marital status, and physical component of health-related
quality of life B) Cohesion and social support, by education, age, and marital
status C) Collective trust and associative relation, by family size, age and
physical health. Direct effect of these variables on social capital components
was more than their indirect effects (through mental health and physical
health).
Conclusion: Social capital components
are directly affected by occupational, marital, educational status, family
size, physical health and duration of local residency. Planning to improve
educational and occupational status, strengthening family bonds and provision
of local facilities, may improve social capital.
B Eshrati, R Emroozi, Es Mousavi, Ms Azimi, A Esmaeeli, H Bakhtiari, Ssh Hosseini, M Ramezani ,
Volume 9, Issue 3 (2-2014)
Abstract
Background & Objectives:: To assess inequity of childhood health care package provision according to the distance of health houses from the town and the provincial capital in Markazi province (Iran).
Methods: We used 4 measures of childhood health care provision by family medicine program in randomly selected health houses in Markazi province. The measures included were monitoring of the childhood health by the GP (General Practitioner), childhood disease management according to the Iranian MOHME guidelines, good knowledge of the GP about the content of the guidelines and good knowledge of the GP about the 1-59 month death registration system. These measures were estimated by a predefined, interviewer administered questionnaire. The distance of each selected health house was determined in each district health center. To assess the inequity of the measures we estimated concentration index and its 95% confidence interval using covariance method. P Values of greater than 0.05 were considered as statistically insignificant.
Results: About 46 health house were randomly selected. All of the estimated concentration indices about the childhood care measures were less than 0.1 and their differences with zero score were insignificant
( p value> 0.05 ).
Conclusion: according to the data of our study it seems there is no inequity between different health houses in accordance of their distance from district center and provincial capital. It seems necessary to measure other health indices to assess the inequity of the whole of the health care providing system.
