Literature DB >> 17553701

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

Stacy Woodard1, Linda Archer, Elizabeth Zell, Olivier Ronveaux, Maureen Birmingham.   

Abstract

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.

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Year:  2007        PMID: 17553701     DOI: 10.1016/j.annepidem.2007.01.038

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  2 in total

1.  Auditing the Immunization Data Quality from Routine Reports in Shangyu District, East China.

Authors:  Yu Hu; Xinpei Zhang; Qian Li; Yaping Chen
Journal:  Int J Environ Res Public Health       Date:  2016-11-18       Impact factor: 3.390

2.  Country Immunization Information System Assessments - Kenya, 2015 and Ghana, 2016.

Authors:  Colleen Scott; Kristie E N Clarke; Jan Grevendonk; Samantha B Dolan; Hussein Osman Ahmed; Peter Kamau; Peter Aswani Ademba; Lynda Osadebe; George Bonsu; Joseph Opare; Stanley Diamenu; Gregory Amenuvegbe; Pamela Quaye; Fred Osei-Sarpong; Francis Abotsi; Joseph Dwomor Ankrah; Adam MacNeil
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2017-11-10       Impact factor: 17.586

  2 in total

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