Evidence map›Paper›PMID 31445249›Full record

ArticleInternational journal of medical informatics2019

Strengths, pitfalls, and lessons learned in implementing electronic collection of childhood vaccination data in Zambia: The SmartCare experience.

Kristie E N Clarke, Caroline Phiri Chibawe, Idongesit Essiet-Gibson, Francis Dien Mwansa, Sara Jacenko, Chulwoo Rhee, Maggy Kwendakwape, Andrew Kashoka, Adam MacNeil

Abstract read
In one paragraph

Article in International journal of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

9 authors.

Kristie E N ClarkeUS Centers for Disease Control and Prevention, Global Immunization Division, United States. Electronic address: vhz9@cdc.gov.
Caroline Phiri ChibaweRepublic of Zambia Ministry of Health, United States.
Idongesit Essiet-GibsonUS Centers for Disease Control and Prevention, Zambia Office, United States.
Francis Dien MwansaRepublic of Zambia Ministry of Health, United States.
Sara JacenkoUS Centers for Disease Control and Prevention, Global Immunization Division, United States.
Chulwoo RheeUS Centers for Disease Control and Prevention, Division of Global Health Protection, United States.
Maggy KwendakwapeAfrican Field Epidemiology Network, United States.
Andrew KashokaRepublic of Zambia Ministry of Health, United States.
Adam MacNeilUS Centers for Disease Control and Prevention, Global Immunization Division, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundDespite widespread interest in computerized vaccination information systems, evaluation of the data quality in these systems and their acceptability to frontline healthcare workers in low and middle-income countries aren't well addressed in the literature.

objectivesEvaluation of vaccination data quality and facility-level staff perspectives on the strengths and challenges of a vaccination data module in a widely used electronic health record (EHR) system in Zambia.

methodsAfter a desk review of data from two provinces, a cross-sectional mixed methods study was designed, including quantitative analysis of data quality and qualitative analysis of the module's acceptability to facility staff, using the Information System Success model as the framework for evaluation of system quality, service quality, and information quality. Data were collected from 10 purposively sampled health facilities.

resultsThere was low current use of the vaccination module by facilities in the study area (2%). Daily power outages presented a practical challenge. Staff who had used previous EHRs had concerns about sustainability. SYSTEM QUALITY: While the module was user-friendly, there were concerns about EHR compatibility with vaccination workflow and outreach settings, where vaccines are commonly administered to older children. SERVICE QUALITY: The module was viewed as dependable; perceptions were influenced by computer literacy. INFORMATION QUALITY: The database contained incomplete and incongruous data. Staff perceived data as accurate but incomplete; easy access to data was a strength.

conclusionsPotential benefits of the vaccination module were frequently unrealized due to infrastructure, workflow, and data flow challenges that resulted in low module use and poor information quality. Elements to optimize vaccination information system implementation could include robust engagement of facility-level staff in system design, system suitability to the vaccination setting and workflow, and comprehensive planning for data flow, sustainability, data monitoring and feedback. Adaptability to the outreach setting might be increasingly important as vaccination schedules extend past infancy.

Indexed as

VaccinationChild, PreschoolComputer LiteracyCross-Sectional StudiesHealth FacilitiesHumansInfantInfant, NewbornZambiaData collectionData qualityElectronic health recordsRegistriesVaccination records

Identifiers

PMID31445249
PMCPMC10353838

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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.