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印度各地区健康管理信息系统数据的外部一致性研究。

Study on external consistency of health management information system data at district level across India.

作者信息

Nachimuthu Nandhakumar, Maheswari R Uma, Vasudevan Damodaran

机构信息

Institute of Community Medicine, Madras Medical College, Chennai, Tamil Nadu, India.

出版信息

J Family Med Prim Care. 2025 May;14(5):1985-1991. doi: 10.4103/jfmpc.jfmpc_1967_24. Epub 2025 May 31.

DOI:10.4103/jfmpc.jfmpc_1967_24
PMID:40547776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12178468/
Abstract

BACKGROUND

The WHO has provided toolkit for data quality review of Health Management Information System (HMIS) data, with external consistency of coverage rate being one dimension.

OBJECTIVE

To assess the level of external consistency of HMIS data compared with National Family Health Survey-5 (NFHS-5) data at district level across India.

METHODS

We used secondary data on health service delivery indicators across districts at meso-level collected from HMIS and NFHS-5 website. We collected data on 7 indicators: Mothers registered within trimester I, mothers with at least 4 antenatal visits, mothers last birth protected against tetanus, institutional births, births delivered by Caesarean section, sex ratio at birth, and pregnant women aged 15-49 years who are anaemic. We evaluated the agreement between HMIS and NFHS data for the above indicators using Pearson's correlation co-efficient, intraclass correlation coefficient, and Bland-Altman plot.

RESULTS

Data were available from both HMIS and NFHS-5 for 695 districts for the above indicators, except for pregnant women with anaemia, for whom data were available for 564 districts. Pearson corelation co-efficient showed a strong correlation between the two datasets for institutional births and delivery by caesarean section, while weak to moderate correlations were observed for the other indicators. Intraclass correlation coefficient showed discordance between the two datasets, and poor agreement was observed between the data for sex ratio at birth and mothers with at least 4 antenatal visits in Bland-Altman plot.

CONCLUSION

Poor agreement was observed between HMIS and NFHS data for certain indicators, and steps can be taken to improve the quality of HMIS data for these indicators.

摘要

背景

世界卫生组织提供了卫生管理信息系统(HMIS)数据质量审查工具包,覆盖率的外部一致性是其中一个维度。

目的

评估印度各地区HMIS数据与全国第五次家庭健康调查(NFHS-5)数据的外部一致性水平。

方法

我们使用了从HMIS和NFHS-5网站收集的中观层面各地区卫生服务提供指标的二手数据。我们收集了7项指标的数据:孕早期登记的母亲、至少进行4次产前检查的母亲、上次分娩接受破伤风预防的母亲、机构分娩、剖宫产分娩、出生性别比以及15-49岁贫血的孕妇。我们使用Pearson相关系数、组内相关系数和Bland-Altman图评估HMIS和NFHS数据在上述指标上的一致性。

结果

除贫血孕妇外,上述指标的HMIS和NFHS-5数据在695个地区可用,贫血孕妇的数据在564个地区可用。Pearson相关系数显示,两个数据集在机构分娩和剖宫产分娩方面有很强的相关性,而其他指标的相关性较弱至中等。组内相关系数显示两个数据集不一致,Bland-Altman图显示出生性别比数据与至少进行4次产前检查的母亲的数据之间一致性较差。

结论

HMIS和NFHS数据在某些指标上一致性较差,可以采取措施提高这些指标的HMIS数据质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a3/12178468/8d295bd00587/JFMPC-14-1985-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a3/12178468/fe1cc10348d1/JFMPC-14-1985-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a3/12178468/8d295bd00587/JFMPC-14-1985-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a3/12178468/fe1cc10348d1/JFMPC-14-1985-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a3/12178468/8d295bd00587/JFMPC-14-1985-g002.jpg

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