Evidence map›Paper›PMID 37644469›Full record

ArticleBMC public health2023

Applying the Delphi Approach to Prioritize Social Factors Affecting the Development of Children Under Six Years.

Mitra Sadrkhanlou, Ali Maher, Khalil Alimohammadzadeh, Mehrnoosh Jafari, Mohammadkarim Bahadori

Abstract read
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Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mitra SadrkhanlouDepartment of Health Services Management, School of Management, North Tehran Branch, Islamic Azad University, Tehran, Iran.
Ali MaherDepartment of Health Policy, Economics and Management and Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Iran. dralimaher@gmail.com.
Khalil AlimohammadzadehDepartment of Health Services Management, School of Management, North Tehran Branch, Islamic Azad University, Tehran, Iran.
Mehrnoosh JafariDepartment of Health Services Management, School of Management, North Tehran Branch, Islamic Azad University, Tehran, Iran.
Mohammadkarim BahadoriHealth Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial determinants of health have a key role in the growth and development of children, particularly in early childhood which is mentioned from infancy to the age of six years old. These factors might cause disparities in living conditions and consequently bring about inequities regarding different aspects of development such as emotional, psychological, social, psychological, and intellectual. This research aimed to provide a model for prioritizing social factors affecting the development of children under six years.

methodsWe used quantitative-qualitative (mixed) method to perform data analysis. The statistical population included 12 medical experts and professionals in the field of children's development and social determinants of health that were selected using the snowball method. In the quantitative section, a Delphi technique was applied to screen the extracted indicators. Then through applying a decision-making trial and evaluation laboratory (DEMATEL) method, the cause-and-effect interactions among main social determinants were identified. To analyze data, super decision software was used.

resultsAccording to literature review and the results obtained from focus group discussions, five dimensions including individual factors, family factors, environmental factors, governance, and global factors were identified. Based on the study findings, the criterion of "family factors" was mentioned as the most important priority affecting childhood development. Furthermore, the sub-criterion of "International Programs and Policies" received the greatest priority among other sub-criteria with a profound impact on children's healthy growth and development.

conclusionDespite the current knowledge about social determinants of health, it is required to identify the most influential socioeconomic factors on childhood development. In such a manner, political strategies for improving the health condition of children can be implemented based on scientific evidence. Due to the crucial role of family factors, environmental factors and other socio-economic conditions, health policy makers and public health practitioners should be informed of the importance of these factors in shaping the health condition of children.

Indexed as

Child DevelopmentSocial FactorsAdministrative PersonnelChildChild, PreschoolFemaleHealth PolicyHumansMaleSocioeconomic FactorsChild developmentDelphi approachInequitySocial determinants of health

Identifiers

PMID37644469
PMCPMC10466685

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.