• Niger J Clin Pract · Nov 2022

    Assessing the quality of immunization data from administrative data in Enugu State, South-East Nigeria: A cross-sectional study.

    • D C Ogbuabor, N Ghasi, U J Okenwa, Chukwunweike N Nwangwu, U Ezenwaka, and O Onwujekwe.
    • Department of Health Administration and Management; Health Policy Research Group, College of Medicine, University of Nigeria Enugu Campus, Enugu State, Nigeria.
    • Niger J Clin Pract. 2022 Nov 1; 25 (11): 186418741864-1874.

    BackgroundStudies evaluating immunization data quality and its determinants in low- and middle-income countries are scarce.AimTherefore, this study assessed the accuracy of routine immunization data and its associated factors in Enugu State, South-East Nigeria.Materials And MethodsThis was a descriptive cross-sectional, mixed-method study. A multi-stage sampling technique was used to select 60 out of 180 primary health facilities in six local government areas (LGAs). Routine data on Bacillus Calmette Guerin (BCG), pentavalent vaccine dose3 (Penta3), and Measles2 vaccinations in tallied registers, facility reports, and District Health Information System II (DHIS2) in 2020 were abstracted using a questionnaire. The dependent variables were the accuracy ratios of the facility and DHIS2 reports. We collected data on the independent variables including LGAs, type of location, facility type, tool availability, tool use, frequency of supervision, defaulter tracing, and vaccine tracking. Additionally, semi-structured, in-depth interviews were conducted with 35 purposively selected actors on factors affecting the data quality. The proportions of facilities with normal, under-, or over-reporting were summarized in percentages. The median accuracy ratios and interquartile range (IQR) were also reported. Differences in median accuracy ratios were tested using the independent sample median test. We tested the predictive model using a generalized linear model. Statistical significance was set at P < 0.05. The qualitative data were analyzed using content analysis.ResultsThe accuracy of facility reports ranged from 38% to 68% (normal), 17-30% (under-reporting), and 15-35% (over-reporting) of health facilities. In DHIS2, the accuracy ranged from 5% to 10% (normal), 37-42% (under-reporting), and 53-63% (over-reporting) of health facilities. The median (IQR) accuracy ratios of facility reports were 100.0% (98.3-103.2%), 100.0% (98.5-103.6%), and 100.0% (81.6-110.2%) for BCG, Penta3, and Measles2, respectively. The median (IQR) accuracy ratios of DHIS2 reports were 83.6% (43.3-192.7%), 88.4% (37.8-200.8%), and 46.2% (10.7-202.7%) for BCG, Penta3, and Measles2, correspondingly. No facility characteristic predicted the accuracy of routine immunization reports. Reasons for inaccurate data include untimely recording, wrong counting, delayed reporting, infrequent supervision, lack of data audits, resource constraints, and high workload.ConclusionsRoutine immunization data are not always accurate in Enugu state. Continuous efforts to improve the data monitoring system, supervision, data audits, funding, and staffing are warranted.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…