俱乐部融合对健康结果有影响吗? 印度各州的证据
Ajit Nag1, Andrej Privara2, Beata Gavurova3
1Department of Humanities and Social Sciences National Institute of Technology, Rourkela, Odisha, India.
BMC public health
|November 4, 2023
概括
印度各州的预期寿命趋同,但婴儿死亡率,新生儿死亡率和生育率各不相同. 需要有针对性的医疗保健策略来解决这些健康差异.
科学领域:
- 公共卫生 公共卫生
- 卫生经济学 卫生经济学
- 人口统计学 人口统计学
背景情况:
- 人口健康对国家发展至关重要,需要减少健康不平等,改善健康指标的州际趋同.
- 监测印度各州的健康进展需要对健康状况的趋同和分歧模式进行评估.
- 本研究检查了1990年至2018年印度各大州健康状况趋同和分歧的变化.
研究的目的:
- 调查印度各大州关键健康指标的趋同和分歧的动态模式.
- 通过了解不同州的健康状况趋势,为公共卫生政策提供信息.
主要方法:
- 使用西格玛图 (σ),内核密度图和log t-test来分析收,分歧和俱乐部收.
- 将这些统计方法应用于从1990年到2018年的州级健康指标数据.
主要成果:
- 出生时的预期寿命在所有州都表现出了西格玛收,形成了一个单一的收俱乐部 (Club One).
- 婴儿死亡率,新生儿死亡率和总生育率在2006年之后呈现出分歧模式,有俱乐部收和分歧的证据.
- 核密度估计显示出出生时预期寿命的单模分布,而婴儿死亡率,新生儿死亡率和总生育率显示出双模分布.
结论:
- 医疗保健战略应适应不同趋同俱乐部的具体过渡路径.
- 专注于表现出差异的状态对于减少健康变异和改善整体健康结果至关重要.
- 解决婴儿死亡率,新生儿死亡率和总生育率的跨州差异需要不同的政策干预.
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