Dynamic systems modeling for quality improvement in reducing neonatal mortality: evidence from Kerman and Bam, Iran
This study is among the first in Iran to utilize a comprehensive systems dynamics approach to analyze factors affecting neonatal mortality. It presents a highly accurate dynamic model that integrates qualitative and quantitative data, offering a replicable methodology adaptable to other regions facing similar health challenges. The innovative application of dynamic systems modeling in neonatal health provides significant contributions to healthcare management and public health, supporting global efforts to reduce neonatal mortality.
Authors
- Mohammad Ali Bagherzadeh (ORCID: https://orcid.org/0000-0001-6400-5896)
- Elham Amini (ORCID: https://orcid.org/0000-0001-5620-9354)
- Mohammadreza Amiresmaili
- Zohreh Torabinejad
Institutions
- Graduate University of Advanced Technology (IR)
- Kerman University of Medical Sciences (IR)
- Bam University of Medical Sciences (IR)
Publication Details
- Journal
- International Journal of Health Care Quality Assurance
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1108/ijhcqa-01-2025-0002
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00