Design and simulation study of the immunization Data Quality Audit (DQA)

被引:4
作者
Woodard, Stacy
Archer, Linda
Zell, Elizabeth
Ronveaux, Olivier
Birmingham, Maureen
机构
[1] Dept Biostat Quintiles Inc, Res Triangle Pk, NC USA
[2] IntraHlth Int, Nairobi, Kenya
[3] Ctr Dis Control & Prevent, Atlanta, GA USA
[4] World Hlth Org, Dept Immunizat Vaccines & Biol, Geneva, Switzerland
关键词
probability sample; sampling error; computer simulation; vaccination;
D O I
10.1016/j.annepidem.2007.01.038
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The goal of the Data Quality Audit (DQA) is to assess whether the Global Alliance for Vaccines and Immunization-funded countries are adequately reporting the number of diphtheria-tetanus-pertussis immunizations given, on which the "shares" are awarded. Given that this sampling design is a modified two-stage cluster sample (modified because a stratified, rather than a simple, random sample of health facilities is obtained from the selected clusters); the formula for the calculation of the standard error for the estimate is unknown. An approximated standard error has been proposed, and the first goal of this simulation is to assess the accuracy of the standard error. Results from the simulations based on hypothetical populations were found not to be representative of the actual DQAs that were conducted. Additional simulations were then conducted on the actual DQA data to better access the precision of the DQ with both the original and the increased sample sizes.
引用
收藏
页码:628 / 633
页数:6
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