Analyzing the Factors Affecting Neonatal Mortality Control in Iran by Providing a Model

Abstract

Abstract Introduction Despite Iran’s success in reducing neonatal mortality rate, it is still far behind some developing countries and some Asian countries. The aim of this study was to summarize the measures taken and proposed solutions to design a model to control neonatal mortality. Methods This applied cross-sectional analytical study was performed using a factor analysis method derived from 4 models of neonatal mortality reduction. After reviewing different texts and patterns, the common and non-common dimensions of these patterns were set in a comparative table. The results of the comparative studies were designed in the form of a questionnaire and sent to 30 experts for reliability and validity. CVI and CVR validity and Cronbach’s α reliability were confirmed and in order to validate the model, the final questionnaire was completed and summarized by interviewing 311 people from 7 provinces in a multi-stage interview method using multi-stage random sampling. Data analysis was performed using SPSS25 and AMOS-18 software. Results 6 factors were found to be effective in controlling neonatal mortality, including access to health care, health policy, health services, health information systems, family involvement, and evaluation. Access to health care services had the most significant effect with 23.19% of explained variance, and participation and evaluation with 1.19% of explained variance had the least effect. Conclusion The proposed model has the greatest impact on the access to health care services and the least impact on the evaluation component.