ArticleCanadian journal of public health = Revue canadienne de sante publique2019
Evaluating the Manitoba Infant Feeding Database: a Canadian infant feeding surveillance system.
Article in Canadian journal of public health = Revue canadienne de sante publique, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Proposed approaches for public health surveillance: A literature review for the Canadian National HIV Surveillance Program.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025Article
- Classifying early infant feeding status from clinical notes using natural language processing and machine learning.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe Manitoba Infant Feeding Database (MIFD) is being piloted as a surveillance system leveraging infant vaccination visits as a point of contact to collect infant feeding data during the first year of life. The objective of this study was to assess data quality and acceptability of the MIFD as a sustainable population-based surveillance system.
methodsInternal completeness and internal validity were measured to assess data quality. Internal completeness was defined as the number of completed data fields out of the total number of data fields. Internal validity was defined as the proportion of translation errors from one level of the system, the paper questionnaire, to the next, the electronic database. A survey assessed staff's acceptance of data collection and submission processes.
resultsA total of 947 records were reviewed. Data were 98.5% complete. Discrepancies were noted in 13.5% of data. The survey response rate was 78.4%. Nearly all respondents reported that the MIFD data collection tool was easy to use (96.6% agreed or strongly agreed). Whereas some challenges were identified, the majority were willing to continue with the MIFD data collection tool and process (93.1%).
conclusionResults from this evaluation suggest that the MIFD data collection process worked well; however, data validation will require human resources. The MIFD approach provides a sustainable mechanism for collecting data on infant feeding for surveillance and research purposes.
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Registered trials
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