ArticleBMC health services research2026
Uncovering and investigating reasons for inaccuracies in vaccine card records in Kiyawa LGA Jigawa, Nigeria: a mixed method study.
Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
backgroundAccurately measuring vaccination coverage is crucial for programmatic and policy decision making, however accurate measurement of coverage can be challenging. We aimed to understand the extent of, and reasons for, inaccurate vaccination card records in a rural, low-income setting in Jigawa state, Nigeria.
methodsWe conducted an explanatory sequential mixed-methods study in Kiyawa Local Government Area, Jigawa State, from September 2022 to July 2023, using data from the INSPIRING Jigawa trial (ISRCTN39213655). Quantitative data was gathered from surveyed women aged 16-49 in sampled compounds, who presented their child's vaccine card. Vaccine documentation was defined as inaccurate when the vaccine card is discordant with caregiver report. Adjusted logistic regression identified factors associated with inaccuracies. We conducted in-depth interviews with healthcare workers and focus groups with community members, analyzing transcripts using conventional content analysis, and triangulated findings with quantitative results.
resultsRecords for 4258 children under five-years, from 3232 women, were examined. Of these children, 441 (10.4%) had vaccine cards that were deemed inaccurate by their caregivers. Inaccuracies were primarily attributed to cards being filled despite the child not receiving the vaccine, misplacement or loss of vaccine cards, vaccine stock-out when cards had already been filled, and vaccine card stock-out when the vaccine had been administered. Our adjusted logistic regression results show the following variables were associated with reporting inaccurate vaccine cards (under or over-reporting): any education compared to none (adjusted odds ratio (aOR): 1.33, 95%CI: 1.03, 1.75), having co-wives compared to no co-wife (aOR: 0.78, 95%CI: 0.62, 0.98), and child's age: 12-24 months compared to < 12 months (aOR: 2.70, 95%CI: 1.94, 3.75) and 25 months and above compared to < 12 months (aOR: 2.30, 95%CI: 1.69, 3.12). Our qualitative findings highlighted maternal lack of knowledge of vaccination schedule and forgetfulness about the vaccination schedule as common reasons for vaccine card inaccuracy.
conclusionWe identified health system failures and caregiver barriers leading to inaccurate reports in vaccine cards. It is essential to sensitize caregivers and healthcare providers on the importance of accurately documenting vaccines and validating immunization recording systems. CLINICAL TRIAL NUMBER: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.