关键词: Cluster analysis Family Health Indicator

Mesh : Humans Indonesia Cluster Analysis Female Male Family Health / statistics & numerical data Health Status Indicators Adult Maternal Health / statistics & numerical data

来  源:   DOI:10.3961/jpmph.23.497   PDF(Pubmed)

Abstract:
OBJECTIVE: Health development is a key element of national development. The goal of improving health development at the societal level will be readily achieved if it is directed from the smallest social unit, namely the family. This was the goal of the Healthy Indonesia Program with a Family Approach. The objective of the study was to analyze variables of family health indicators across all provinces in Indonesia to identify provincial disparities based on the status of healthy families.
METHODS: This study examined secondary data for 2021 from the Indonesia Health Profile, provided by the Ministry of Health of the Republic of Indonesia, and from the 2021 welfare statistics by Statistics Indonesia (BPS). From these sources, we identified 10 variables for analysis using the k-means method, a non-hierarchical method of cluster analysis.
RESULTS: The results of the cluster analysis of healthy family indicators yielded 5 clusters. In general, cluster 1 (Papua and West Papua Provinces) had the lowest average achievements for healthy family indicators, while cluster 5 (Jakarta Province) had the highest indicator scores.
CONCLUSIONS: In Indonesia, disparities in healthy family indicators persist. Nutrition, maternal health, and child health are among the indicators that require government attention.
摘要:
健康发展是国家发展的关键要素。如果从最小的社会单位出发,在社会层面改善健康发展的目标将很容易实现,即家庭。这是健康印度尼西亚计划与家庭方法的目标。该研究的目的是分析印度尼西亚所有省份的家庭健康指标变量,以根据健康家庭的状况确定省级差异。
这项研究检查了印度尼西亚健康档案中2021年的次要数据,由印度尼西亚共和国卫生部提供,以及印度尼西亚统计局(BPS)的2021年福利统计数据。从这些来源,我们使用k-均值方法确定了10个变量进行分析,聚类分析的非分层方法。
健康家庭指标的聚类分析结果产生了5个簇。总的来说,第1组(巴布亚和西巴布亚省)的健康家庭指标平均成绩最低,而第5组(雅加达省)的指标得分最高。
在印度尼西亚,健康家庭指标的差异仍然存在。营养,孕产妇健康,儿童健康是需要政府关注的指标之一。
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