Department of Health Services administration, Sciences and Research Branch, Islamic Azad University, Tehran, Iran.
Corresponding Author associate professor, Department of Health Services Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Z Geburtshilfe Neonatol. 2022 Jun;226(3):186-192. doi: 10.1055/a-1710-3984. Epub 2022 Jan 20.
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.
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.
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.
The proposed model has the greatest impact on the access to health care services and the least impact on the evaluation component.
尽管伊朗在降低新生儿死亡率方面取得了成功，但仍远远落后于一些发展中国家和一些亚洲国家。本研究旨在总结已采取的措施，并提出解决方案，以设计一个控制新生儿死亡率的模型。
本研究采用了一种因素分析方法，该方法源自 4 种降低新生儿死亡率的模型。在回顾了不同的文本和模式后，将这些模式的共同和非共同维度设置在一个比较表中。比较研究的结果以问卷的形式呈现，并发送给 30 名专家进行可靠性和有效性验证。CVI 和 CVR 有效性和 Cronbach's α 可靠性得到了确认，为了验证模型，采用多阶段随机抽样的多阶段访谈方法，从 7 个省份随机抽取 311 人完成并总结最终问卷。数据分析使用 SPSS25 和 AMOS-18 软件进行。
发现 6 个因素对控制新生儿死亡率有效，包括获得医疗保健、卫生政策、卫生服务、卫生信息系统、家庭参与和评估。获得医疗保健服务的影响最大，解释方差为 23.19%，参与和评估的影响最小，解释方差为 1.19%。
所提出的模型对获得医疗保健服务的影响最大，对评估部分的影响最小。
