Evidence map›Paper›PMID 30947703›Full record

ArticleBMC public health2019

Defining & assessing the quality, usability, and utilization of immunization data.

Peter Bloland, Adam MacNeil

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  16. Reliability of information recorded on the National Immunization Program Information System.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2024
    Article
  17. Article
  18. Review
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  20. The development and deployment of machine learning models.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022
    Article
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

2 authors.

Peter BlolandStrategic Information and Workforce Development Branch, Global Immunizations Division, Center for Global Health, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA, 30329, USA. pbb1@cdc.gov.ORCID http://orcid.org/0000-0003-3337-6584
Adam MacNeilStrategic Information Team, Strategic Information and Workforce Development Branch, Global Immunizations Division, Center for Global Health, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA, 30329, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh quality data are needed for decision-making at all levels of the public health system, from guiding public health activities at the local level, to informing national policy development, to monitoring the impact of global initiatives. Although a number of approaches have been developed to evaluate the underlying quality of routinely collected vaccination administrative data, there remains a lack of consensus around how data quality is best defined or measured. DISCUSSION: We present a definitional framework that is intended to disentangle many of the elements that have confused discussions of vaccination data quality to date. The framework describes immunization data in terms of three key characteristics: data quality, data usability, and data utilization. The framework also offers concrete suggestions for a specific set of indicators that could be used to better understand immunization those key characteristics, including Trueness, Concurrence, Relevancy, Efficiency, Completeness, Timeliness, Integrity, Consistency, and Utilization.

conclusionBeing deliberate about the choice of indicators; being clear on their definitions, limitations, and methods of measurement; and describing how those indicators work together to give a more comprehensive and practical understanding of immunization data quality, usability, and use, should yield more informed, and therefore better, programmatic decision-making.

Indexed as

Data AccuracyHumansImmunization ProgramsPrimary Health CareQuality ImprovementVaccinationData qualityData useImmunization informationImmunization programLow and middle-income countries

Identifiers

PMID30947703
PMCPMC6450010

What OpenQuestion holds

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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.