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Original Article
- A Regionalization Model to Increase Equity of Access to Maternal and Neonatal Care Services in Iran
- Zahra Mohammadi Daniali, Mohammad Mehdi Sepehri, Farzad Movahedi Sobhani, Mohammad Heidarzadeh
- J Prev Med Public Health. 2022;55(1):49-59. Published online December 28, 2021
- DOI: https://doi.org/10.3961/jpmph.21.401
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- 5 Web of Science
- 10 Crossref
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Abstract
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Supplementary Material - Objectives
Access to maternal and neonatal care services (MNCS) is an important goal of health policy in developing countries. In this study, we proposed a 3-level hierarchical location-allocation model to maximize the coverage of MNCS providers in Iran.
Methods
First, the necessary criteria for designing an MNCS network were explored. Birth data, including gestational age and birth weight, were collected from the data bank of the Iranian Maternal and Neonatal Network national registry based on 3 service levels (I, II, and III). Vehicular travel times between the points of demand and MNCS providers were considered. Alternative MNCS were mapped in some cities to reduce access difficulties.
Results
It was found that 130, 121, and 86 MNCS providers were needed to respond to level I, II, and III demands, respectively, in 373 cities. Service level III was not available in 39 cities within the determined travel time, which led to an increased average travel time of 173 minutes to the nearest MNCS provider.
Conclusions
This study revealed inequalities in the distribution of MNCS providers. Management of the distribution of MNCS providers can be used to enhance spatial access to health services and reduce the risk of neonatal mortality and morbidity. This method may provide a sustainable healthcare solution at the policy and decision-making level for regional, or even universal, healthcare networks. -
Summary
Citations
Citations to this article as recorded by
- Global, Regional and National Burden of Maternal Obstructed Labour and Uterine Rupture, 1990–2021: Global Burden of Disease Study 2021
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Paediatric and Perinatal Epidemiology.2025; 39(2): 135. CrossRef - Survival estimate and geographic trajectory in the antepartum period of preterm infants with neonatal death outcome
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Ciência & Saúde Coletiva.2025;[Epub] CrossRef - Estimativa de sobrevida e trajetória geográfica no anteparto de prematuros com desfecho de óbito neonatal
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Ciência & Saúde Coletiva.2025;[Epub] CrossRef - Epidemiology and Clinical Features of COVID-19 among 4,015 Neonates in Iran: Results of the National Study from the Iranian Maternal and Neonatal Network
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American Journal of Perinatology.2024; 41(S 01): e1698. CrossRef - Global burden and inequality of maternal and neonatal disorders: based on data from the 2019 Global Burden of Disease study
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QJM: An International Journal of Medicine.2024; 117(1): 24. CrossRef - Multi-objective mammography unit location–allocation problem: A case study
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Operations Research for Health Care.2024; 41: 100430. CrossRef - An integrated location–allocation model for reducing disparities and increasing accessibility to public health screening centers
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Open Health.2024;[Epub] CrossRef - An optimization model for equitable accessibility to magnetic resonance imaging technology in developing countries
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Decision Analytics Journal.2022; 4: 100105. CrossRef
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