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Determinants of improved data consistency across routine immunization data tools for health facilities in Kano State, Nigeria.

Authors :
Akerele A
Obansa R
Adegoke OJ
Haladu S
Adeoye OB
Usifoh N
Etamesor S
Uba B
Waziri NE
Source :
The Pan African medical journal [Pan Afr Med J] 2020 Jul 02; Vol. 36, pp. 148. Date of Electronic Publication: 2020 Jul 02 (Print Publication: 2020).
Publication Year :
2020

Abstract

Introduction: in this study, determinants of improved data consistency for routine immunization information at health facilities was measured to identify associated factors.<br />Methods: between June and August 2015, 1055 HFs were visited across 44 Local Government Areas in Kano state. We assessed data consistency, frequency of supportive supervision visits, availability of trained staff and attendance to monthly LGA RI review meetings. We compared RI monthly summary forms (MSF) versus national health management information system summary form (NHMIS) and vaccine management form 1a (VM1a) versus HF vaccine utilization summary monthly summary (HFVUM) for consistency. Data consistency at HF was determined at <+10% between number of children reportedly immunized, and doses of vaccine opened using 3 antigens (BCG, Penta and Measles). Levels of discrepancy <10% were considered as good data consistency. Bivariate and multivariate analysis used to determine association.<br />Results: data Consistency was observed in 195 (18.5%) HFs between (MSF vs NHMIS) and 90 (8.5%) HFs between (VM1a vs HFVUM). Consistency between MSF vs NHMIS was associated with receiving one or more SS visits in the previous month (p=0.001), data collection tools availability (p=0.001), recent attendance to monthly LGA RI review meeting and availability of trained staff. Data consistency between VM1a form and the HF VU summary was associated with a recent documented SS visit (p=0.05) and availability of trained staff (p=0.05).<br />Conclusion: low level of data consistency was observed in Kano. Enhanced SS visits and availability of trained staff are associated with improved data quality.<br />Competing Interests: The authors declare no competing interests.<br /> (Copyright: Adekunle Akerele et al.)

Details

Language :
English
ISSN :
1937-8688
Volume :
36
Database :
MEDLINE
Journal :
The Pan African medical journal
Publication Type :
Academic Journal
Accession number :
32874412
Full Text :
https://doi.org/10.11604/pamj.2020.36.148.20498