Evidence map›Paper›PMID 36127683›Full record

ArticleBMC health services research2022

Changes in on-time vaccination following the introduction of an electronic immunization registry, Tanzania 2016-2018: interrupted time-series analysis.

Samantha B Dolan, Roy Burstein, Jessica C Shearer, Ngwegwe Bulula, Hil Lyons, Emily Carnahan, Emily Beylerian, Jenny Thompson, Nancy Puttkammer, William B Lober and 4 more

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Samantha B DolanDolan Consulting LLC, PATH, Seattle, USA. samantha.dolan@gatesfoundation.org.
Roy BursteinInstitute for Disease Modeling, Bellevue, USA.
Jessica C ShearerPATH, Seattle, USA.
Ngwegwe BululaImmunisation and Vaccine Development Program, Ministry of Health, Community Development, Gender, Elderly and Children, Government of Tanzania, University of Dodoma, Dodoma, Tanzania.
Hil LyonsInstitute for Disease Modeling, Bellevue, USA.
Emily CarnahanPATH, Seattle, USA.
Emily BeylerianPATH, Seattle, USA.
Jenny ThompsonPATH, Seattle, USA.
Nancy PuttkammerDepartment of Global Health, University of Washington, Seattle, USA.
William B LoberDepartment of Global Health, University of Washington, Seattle, USA.
Shan LiuDepartment of Industrial and Systems Engineering, University of Washington, Seattle, WA, USA.
Skye S GilbertPATH, Seattle, USA.
Laurie WernerPATH, Seattle, USA.
Tove K RymanPresent Address: Bill and Melinda Gates Foundation, Seattle, 98109, USA.

Funding

Bill and Melinda Gates Foundation OPP1042273
6 · The paper itself

Abstract

backgroundDigital health interventions (DHI) have the potential to improve the management and utilization of health information to optimize health care worker performance and provision of care. Despite the proliferation of DHI projects in low-and middle-income countries, few have been evaluated in an effort to understand their impact on health systems and health-related outcomes. Although more evidence is needed on their impact and effectiveness, the use of DHIs among immunization programs has become more widespread and shows promise for improving vaccination uptake and adherence to immunization schedules.

methodsOur aim was to assess the impact of an electronic immunization registry (EIR) using an interrupted time-series analysis to analyze the effect on proportion of on-time vaccinations following introduction of an EIR in Tanzania. We hypothesized that the introduction of the EIR would lead to statistically significant changes in vaccination timeliness at 3, 6, and > 6 months post-introduction.

resultsFor our primary analysis, we observed a decrease in the proportion of on-time vaccinations following EIR introduction. In contrast, our sensitivity analysis estimated improvements in timeliness among those children with complete vaccination records. However, we must emphasize caution interpreting these findings as they are likely affected by implementation challenges.

conclusionsThis study highlights the complexities of using digitized individual-level routine health information system data for evaluation and research purposes. EIRs have the potential to improve vaccination timeliness, but analyses using EIR data can be complicated by data quality issues and inconsistent data entry leading to difficulties interpreting findings.

Indexed as

ImmunizationVaccinationChildElectronicsHumansRegistriesTanzaniaDigital health interventionElectronic immunisation registryInterrupted time-series analysisRoutine health information systemVaccination timeliness

Identifiers

PMID36127683
PMCPMC9485799

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LicenceCC BY
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Registered trials

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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.