Evidence map›Paper›PMID 37529088›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Digitalized to reach and track: a retrospective comparison between traditional and conditional estimate of vaccination coverage and dropout rates using e-Tracker data below one-year children in Bangladesh during-COVID and pre-COVID period.

Avijit Saha, Malabika Sarker, Md Tanvir Hossen, Zahid Hassan, Jucy Merina Adhikari, Mahbub A H M Latif

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Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Avijit SahaBRAC James P Grant School of Public Health, BRAC University, Dhaka 1213, Bangladesh.
Malabika SarkerBRAC James P Grant School of Public Health, BRAC University, Dhaka 1213, Bangladesh.
Md Tanvir HossenEPI Bhaban, DGHS, Mohakhali, Dhaka 1212, Bangladesh.
Zahid HassanUNICEF Bangladesh, Plot E-30, Sher-E Bangla Nagar, Dhaka 1207, Bangladesh.
Jucy Merina AdhikariUNICEF Bangladesh, Plot E-30, Sher-E Bangla Nagar, Dhaka 1207, Bangladesh.
Mahbub A H M LatifBRAC James P Grant School of Public Health, BRAC University, Dhaka 1213, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With an impressive track record in expanding childhood immunization and an inclination to adopt digitalization in healthcare service delivery, Expanded Program on Immunization (EPI) Bangladesh piloted the e-Tracker intervention in Moulvibazar district and Dhaka South City Corporation (Zone-5) from 2019 till the end of 2021. Methods: We retrieved and analyzed the digitalized e-Tracker data of 114,194 infants born between January 1, 2019 and December 31, 2020, with help from Health Management Information System (HMIS) and UNICEF Bangladesh. Childhood vaccination coverage and dropout rates were determined using a 'Traditional approach' traditionally used by WHO and a 'Conditional technique' with a modified denominator. Using a multiple logistic regression model, we examined the effects of COVID-19, birth-cohorts, mother education, and location on vaccination rates (coverages & dropouts) to aid with informed decision-making by the policymakers. Findings: The conditional estimation method yielded a lower full vaccination coverage during pre-COVID period than the national and global reported coverage derived using the 'traditional method' (73.4% vs. 89.0% & 81.0%). As expected, while the coverage has decreased, the dropout rate increased "during-COVID" compared to the "pre-COVID" period. However, dropouts were estimated lower in the 'conditional method.' The average age (in months) for getting BCG was higher in Moulvibazar (∼2.5 months) than that in Dhaka (∼1.4 months). All birth-cohorts from 'the during-COVID period had about 30% lower odds of getting fully vaccinated than those from the 'pre-COVID' period. Interpretations: Age-cohort-specific analysis showed a decline in coverage rates before and during COVID, but e-Tracker didn't have enough data to draw additional conclusions. The server only stored the child's gender, the caregiver's monthly salary, and the mother's education. It didn't track any other factors related to dropout rates. The e-Tracker is an excellent tool for measuring real coverage and should be scaled nationwide. Funding: UNICEF, Bangladesh.

Indexed as

Childhood vaccinationConditional estimateDropout ratesImmunization coverageTraditional estimateVaccination coverage

Identifiers

PMID37529088
PMCPMC10388192

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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.