Literature DB >> 32446834

Factors limiting data quality in the expanded programme on immunization in low and middle-income countries: A scoping review.

Katherine Harrison1, Nargis Rahimi2, M Carolina Danovaro-Holliday3.   

Abstract

Few public health interventions can match the immense achievements of immunization in terms of mortality and morbidity reduction. However, progress in reaching global coverage goals and achieving universal immunization coverage have stalled; with key stakeholders concerned about the accuracy of reported coverage figures. Incomplete and incorrect data has made it challenging to obtain an accurate overview of immunization coverage, particularly in low- and middle-income countries (LMIC). To date, only one literature review concerning immunization data quality exists. However, it only included articles from Gavi-eligible countries, did not go deep into the characteristics of the data quality problems, and used a narrow 'data quality' definition. This scoping review builds upon that work; exploring the "state of data quality" in LMIC, factors affecting data quality in these settings and potential means to improve it. Only a small volume of literature addressing immunization data quality in LMIC was found and definitions of 'data quality' varied widely. Data quality was, on the whole, considered poor in the articles included. Coverage numerators were seen to be inflated for official reports and denominators were inaccurate and infrequently adjusted. Numerous factors related to these deficiencies were reported, including health information system fragmentation, overreliance on targets and poor data management processes. Factors associated with health workers were noted most frequently. Authors suggested that data quality could be improved by ensuring proper data collection tools, increasing workers' capacities and motivation through training and supervision, whilst also ensuring adequate and timely feedback on the data collected. The findings of this scoping review can serve as the basis to identify and address barriers to good quality immunization data in LMICs. Overcoming said barriers is essential if immunization's historic successes are to continue.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Data quality; Expanded programme on immunization; Health information systems (MeSH); Low- and middle-income countries; Monitoring and evaluation

Mesh:

Year:  2020        PMID: 32446834     DOI: 10.1016/j.vaccine.2020.02.091

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  5 in total

1.  Non-communicable diseases among adolescents: current status, determinants, interventions and policies.

Authors:  N Akseer; S Mehta; J Wigle; R Chera; Z J Brickman; S Al-Gashm; B Sorichetti; A Vandermorris; D B Hipgrave; N Schwalbe; Z A Bhutta
Journal:  BMC Public Health       Date:  2020-12-14       Impact factor: 3.295

2.  Subnational inequalities in diphtheria-tetanus-pertussis immunization in 24 countries in the African Region.

Authors:  Katherine Kirkby; Nicole Bergen; Anne Schlotheuber; Samir V Sodha; M Carolina Danovaro-Holliday; Ahmad Reza Hosseinpoor
Journal:  Bull World Health Organ       Date:  2021-07-01       Impact factor: 9.408

3.  Madagascar's EPI vaccine programs: A systematic review uncovering the role of a child's sex and other barriers to vaccination.

Authors:  Emma Hahesy; Ligia Maria Cruz-Espinoza; Gabriel Nyirenda; Birkneh Tilahun Tadesse; Jerome H Kim; Florian Marks; Raphael Rakotozandrindrainy; Wibke Wetzker; Andrea Haselbeck
Journal:  Front Public Health       Date:  2022-09-16

4.  Interventions to improve district-level routine health data in low-income and middle-income countries: a systematic review.

Authors:  Jieun Lee; Caroline A Lynch; Lauren Oliveira Hashiguchi; Robert W Snow; Naomi D Herz; Jayne Webster; Justin Parkhurst; Ngozi A Erondu
Journal:  BMJ Glob Health       Date:  2021-06

5.  Added Value of Electronic Immunization Registries in Low- and Middle-Income Countries: Observational Case Study in Tanzania.

Authors:  Andrew M Secor; Hassan Mtenga; John Richard; Ngwegwe Bulula; Ellen Ferriss; Mansi Rathod; Tove K Ryman; Laurie Werner; Emily Carnahan
Journal:  JMIR Public Health Surveill       Date:  2022-01-21
  5 in total

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