Evidence map›Paper›PMID 29291732›Full record

ArticleBMC pregnancy and childbirth2018

Infant feeding practices within a large electronic medical record database.

Emily Bartsch, Alison L Park, Jacqueline Young, Joel G Ray, Karen Tu

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

6 citing papers in PubMed, 99 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Emily BartschUniversity of Toronto, Toronto, Canada. emily.bartsch@mail.utoronto.ca.
Alison L ParkInstitute for Clinical Evaluative Sciences, Toronto, Canada.
Jacqueline YoungInstitute for Clinical Evaluative Sciences, Toronto, Canada.
Joel G RayDepartments of Medicine, Health Policy Management and Evaluation, and Obstetrics and Gynecology St. Michael's Hospital, University of Toronto, Toronto, Canada.
Karen TuDepartment of Family and Community Medicine, and Health Policy Management and Evaluation, Toronto Western Hospital Family Health Team, University of Toronto, Toronto, Canada.
Institute for Clinical Evaluative Sciences · CAUniversity of Toronto · CASt. Michael's Hospital · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundThe emerging adoption of the electronic medical record (EMR) in primary care enables clinicians and researchers to efficiently examine epidemiological trends in child health, including infant feeding practices.

methodsWe completed a population-based retrospective cohort study of 8815 singleton infants born at term in Ontario, Canada, April 2002 to March 2013. Newborn records were linked to the Electronic Medical Record Administrative data Linked Database (EMRALD™), which uses patient-level information from participating family practice EMRs across Ontario. We assessed exclusive breastfeeding patterns using an automated electronic search algorithm, with manual review of EMRs when the latter was not possible. We examined the rate of breastfeeding at visits corresponding to 2, 4 and 6 months of age, as well as sociodemographic factors associated with exclusive breastfeeding.

resultsOf the 8815 newborns, 1044 (11.8%) lacked breastfeeding information in their EMR. Rates of exclusive breastfeeding were 39.5% at 2 months, 32.4% at 4 months and 25.1% at 6 months. At age 6 months, exclusive breastfeeding rates were highest among mothers aged ≥40 vs. < 20 years (rate ratio [RR] 2.45, 95% confidence interval [CI] 1.62-3.68), urban vs. rural residence (RR 1.35, 95% CI 1.22-1.50), and highest vs. lowest income quintile (RR 1.18, 95% CI 1.02-1.36). Overall, immigrants had similar rates of exclusive breastfeeding as non-immigrants; yet, by age 6 months, among those residing in the lowest income quintile, immigrants were more likely to exclusively breastfeed than their non-immigrant counterparts (RR 1.43, 95% CI 1.12-1.83).

conclusionsWe efficiently determined rates and factors associated with exclusive breastfeeding using data from a large EMR database.

Indexed as

AdultAge FactorsBreast FeedingDatabases, FactualElectronic Health RecordsEmigrants and ImmigrantsFeeding BehaviorFemaleHumansInfantInfant, NewbornMaleOntarioPovertyRetrospective StudiesYoung AdultBreastfeedingElectronic medical recordEMRFormula feedingInfant nutrition

Identifiers

PMID29291732
PMCPMC5749017
OpenAlexW2782290133

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.