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Evaluating the Manitoba Infant Feeding Database: a Canadian infant feeding surveillance system.
Paul, Julia A; Chateau, Joanne; Green, Chris; Warda, Lynne; Heaman, Maureen; Katz, Alan; Perchuk, Carolyn; Larocque, Lorraine; Lee, Janelle Boram; Nickel, Nathan C.
Afiliación
  • Paul JA; Public Health Agency of Canada, Canadian Field Epidemiology Program, Ottawa, Canada.
  • Chateau J; Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
  • Green C; Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
  • Warda L; Winnipeg Regional Health Authority, Population and Public Health, Winnipeg, Canada.
  • Heaman M; Department of Pediatrics and Child Health, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
  • Katz A; Winnipeg Regional Health Authority, Injury Prevention and Child Health, Public Health Program, Winnipeg, Canada.
  • Perchuk C; College of Nursing, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
  • Larocque L; Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
  • Lee JB; Department of Family Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
  • Nickel NC; Winnipeg Regional Health Authority, Population and Public Health, Winnipeg, Canada.
Can J Public Health ; 110(5): 649-656, 2019 10.
Article en En | MEDLINE | ID: mdl-31102235
OBJECTIVE: The 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. METHODS: Internal 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. RESULTS: A 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%). CONCLUSION: Results 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vigilancia de la Población / Bases de Datos como Asunto / Conducta Alimentaria Tipo de estudio: Evaluation_studies / Screening_studies Límite: Humans / Infant País/Región como asunto: America do norte Idioma: En Revista: Can J Public Health Año: 2019 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vigilancia de la Población / Bases de Datos como Asunto / Conducta Alimentaria Tipo de estudio: Evaluation_studies / Screening_studies Límite: Humans / Infant País/Región como asunto: America do norte Idioma: En Revista: Can J Public Health Año: 2019 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza