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与监测相比,批量质量保证抽样方法在孟加拉国达卡识别表现不佳地区的效果。

Performance of the lot quality assurance sampling method compared to surveillance for identifying inadequately-performing areas in Matlab, Bangladesh.

作者信息

Bhuiya Abbas, Hanifi S M A, Roy Nikhil, Streatfield P Kim

机构信息

Social and Behavioural Sciences Unit, ICDDR,B GPO Box 128, Dhaka 1000, Bangladesh.

出版信息

J Health Popul Nutr. 2007 Mar;25(1):37-46.

PMID:17615902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3013262/
Abstract

This paper compared the performance of the lot quality assurance sampling (LQAS) method in identifying inadequately-performing health work-areas with that of using health and demographic surveillance system (HDSS) data and examined the feasibility of applying the method by field-level programme supervisors. The study was carried out in Matlab, the field site of ICDDR,B, where a HDSS has been in place for over 30 years. The LQAS method was applied in 57 work-areas of community health workers in ICDDR,B-served areas in Matlab during July-September 2002. The performance of the LQAS method in identifying work-areas with adequate and inadequate coverage of various health services was compared with those of the HDSS. The health service-coverage indicators included coverage of DPT, measles, BCG vaccination, and contraceptive use. It was observed that the difference in the proportion of work-areas identified to be inadequately performing using the LQAS method with less than 30 respondents, and the HDSS was not statistically significant. The consistency between the LQAS method and the HDSS in identifying work-areas was greater for adequately-performing areas than inadequately-performing areas. It was also observed that the field managers could be trained to apply the LQAS method in monitoring their performance in reaching the target population.

摘要

本文比较了批量质量保证抽样(LQAS)方法与利用卫生和人口监测系统(HDSS)数据识别绩效不佳的卫生工作领域的性能,并考察了由现场项目主管应用该方法的可行性。该研究在孟加拉腹泻疾病研究国际中心(ICDDR,B)的实地研究点Matlab开展,当地的卫生和人口监测系统已运行30多年。2002年7月至9月期间,LQAS方法应用于Matlab地区ICDDR,B服务区域内社区卫生工作者的57个工作领域。将LQAS方法识别不同卫生服务覆盖充分和不充分的工作领域的性能,与卫生和人口监测系统的性能进行了比较。卫生服务覆盖指标包括百白破疫苗、麻疹疫苗、卡介苗接种以及避孕药具使用的覆盖率。结果发现,使用LQAS方法且调查对象少于30人的情况下识别出的绩效不佳工作领域的比例,与卫生和人口监测系统识别出的比例之间的差异无统计学意义。在识别工作领域方面,LQAS方法与卫生和人口监测系统在表现良好的领域比在表现不佳的领域一致性更高。还发现,可以培训现场管理人员应用LQAS方法来监测他们在覆盖目标人群方面的绩效。

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J Health Popul Nutr. 2007 Mar;25(1):37-46.
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本文引用的文献

1
Using lot quality assurance sampling to improve immunization coverage in Bangladesh.采用批质量保证抽样法提高孟加拉国的免疫接种覆盖率。
Bull World Health Organ. 2001;79(6):501-5.
2
[Lot quality assurance sampling: methods and applications in public health].[批质量保证抽样:公共卫生中的方法与应用]
Rev Epidemiol Sante Publique. 2000 Aug;48(4):401-8.
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Evaluation of immunization coverage by lot quality assurance sampling compared with 30-cluster sampling in a primary health centre in India.在印度一家初级卫生中心,采用批量质量保证抽样法与30群组抽样法对免疫接种覆盖率进行评估。
Bull World Health Organ. 1996;74(3):269-74.
4
[The use of finite population sampling and lot quality assurance sampling in estimating "immunization coverage rate" in villages (towns)].[有限总体抽样和批质量保证抽样在农村(镇)“免疫接种覆盖率”估计中的应用]
Zhonghua Liu Xing Bing Xue Za Zhi. 1994 Jun;15(3):174-6.
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Cluster sampling to assess immunization coverage: a review of experience with a simplified sampling method.用于评估免疫接种覆盖率的整群抽样:对一种简化抽样方法经验的综述
Bull World Health Organ. 1982;60(2):253-60.
6
An evaluation of lot quality assurance sampling to monitor and improve immunization coverage.对批质量保证抽样进行评估以监测和提高免疫接种覆盖率。
Int J Epidemiol. 1990 Dec;19(4):1086-90. doi: 10.1093/ije/19.4.1086.