2017
DOI: 10.1136/bmjopen-2017-017981
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Protocol for establishing an infant feeding database linkable with population-based administrative data: a prospective cohort study in Manitoba, Canada

Abstract: IntroductionBreast feeding is associated with many health benefits for mothers and infants. But despite extensive public health efforts to promote breast feeding, many mothers do not achieve their own breastfeeding goals; and, inequities in breastfeeding rates persist between high and low-income mother–infant dyads. Developing targeted programme to support breastfeeding dyads and reduce inequities between mothers of different socioeconomic status are a priority for public health practitioners and health policy… Show more

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Cited by 6 publications
(14 citation statements)
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“…In 2015, an interdisciplinary team comprising researchers, clinicians and administrators from regional and provincial primary and public health departments partnered to develop a surveillance system in Manitoba Canada, which would leverage vaccination visits as a point of contact to collect infant feeding data during the first year of life: the Manitoba Infant Feeding Database (MIFD; Nickel et al 2017). They designed the MIFD so that infant feeding information from the motherinfant dyad could be linked with health and social data held in the Manitoba Population Research Data Repository (Jutte et al 2011;Nickel et al 2014a, b) supporting future clinical and population health research.…”
Section: Résumémentioning
confidence: 99%
See 1 more Smart Citation
“…In 2015, an interdisciplinary team comprising researchers, clinicians and administrators from regional and provincial primary and public health departments partnered to develop a surveillance system in Manitoba Canada, which would leverage vaccination visits as a point of contact to collect infant feeding data during the first year of life: the Manitoba Infant Feeding Database (MIFD; Nickel et al 2017). They designed the MIFD so that infant feeding information from the motherinfant dyad could be linked with health and social data held in the Manitoba Population Research Data Repository (Jutte et al 2011;Nickel et al 2014a, b) supporting future clinical and population health research.…”
Section: Résumémentioning
confidence: 99%
“…They designed the MIFD so that infant feeding information from the motherinfant dyad could be linked with health and social data held in the Manitoba Population Research Data Repository (Jutte et al 2011;Nickel et al 2014a, b) supporting future clinical and population health research. Detailed information on the development of the MIFD (Nickel et al 2017) and the data available in the Repository has been previously published (Jutte et al 2011).…”
Section: Résumémentioning
confidence: 99%
“…One of the main barriers to establishing a regular monitoring system is obtaining relievable population data, that brings to the problem to get a relevant set of variables to measure and assess the quality of large datasets. [10,[17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Currently, routine collected electronic health records (EHR) data from infant community care health reviews is an excellent data source candidate for infant feeding monitoring, research and surveillance due to its population coverage and its continuity in time [17,18,[21][22][23][24][25]. Concerning this, there are previous research studies in infant feeding based on routine collected EHR [23,24,26,27].…”
Section: Introductionmentioning
confidence: 99%
“…Standardised routinely collected infant feeding data by country would require internationally agreed definitions and consistent timing of data collection. It could be used by researchers and policymakers to guide selection of primary or secondary infant feeding outcomes for trials of new and complex interventions to improve breastfeeding outcomes, improve monitoring of usual care, or support the evaluation of policy and systems level changes (e.g., Hoddinott et al, ; Nickel et al, ; Relton et al, ). This alignment would enable the use of more practicable and sophisticated strategies to evaluate complex breastfeeding interventions, for example, comparing infant feeding rates and outcomes between populations over time.…”
mentioning
confidence: 99%