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Analyzing the Factors Affecting Neonatal Mortality Control in Iran by Providing a Model
Negin Madadzadeh1, Somayeh Hessam2, Kamran Hajinabi3
1Department of Health Services administration, Sciences and Research Branch, Islamic Azad University, Tehran, Iran.
Zeitschrift Fur Geburtshilfe Und Neonatologie
|January 20, 2022
Summary
This study identified six key factors for controlling neonatal mortality in Iran, with access to healthcare services being the most impactful. The findings aim to inform a new model for reducing infant deaths.
Area of Science:
- Public Health
- Healthcare Management
- Neonatal Care
Background:
- Iran has made progress in reducing neonatal mortality rate but lags behind some developing and Asian nations.
- A comprehensive model is needed to effectively control neonatal mortality.
Purpose of the Study:
- To summarize existing measures and propose solutions for a neonatal mortality control model.
- To design an evidence-based model for reducing neonatal mortality.
Main Methods:
- Applied cross-sectional analytical study using factor analysis of four neonatal mortality reduction models.
- Expert validation of a questionnaire (CVI, CVR, Cronbach's α) followed by multi-stage random sampling interviews with 311 participants across 7 provinces.
- Data analysis using SPSS25 and AMOS-18 software.
Main Results:
- Six factors significantly influence neonatal mortality control: access to healthcare, health policy, health services, health information systems, family involvement, and evaluation.
- Access to healthcare services explained the largest variance (23.19%), while participation and evaluation had the least effect (1.19%).
Conclusions:
- The developed model demonstrates the greatest impact on improving access to healthcare services.
- The model's least impactful component is evaluation, suggesting areas for future refinement.
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