Evidence map›Paper›PMID 31014250›Full record

ArticleBMC medical research methodology2019

Reliability of routinely collected anthropometric measurements in primary care.

Sarah Carsley, Patricia C Parkin, Karen Tu, Eleanor Pullenayegum, Nav Persaud, Jonathon L Maguire, Catherine S Birken, TARGet Kids! Collaboration

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

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  12. Seroprevalence of SARS-CoV-2 antibodies among children receiving primary care in Toronto, Ontario.Canadian journal of public health = Revue canadienne de sante publique · 2024
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  13. Primary healthcare professionals' role in monitoring infant growth: A scoping review.Journal of child health care : for professionals working with children in the hospital and community · 2024
    Article
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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

8 authors at 3 institutions in 1 country.

Sarah CarsleyInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Patricia C ParkinInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Karen TuInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Eleanor PullenayegumDivision of Paediatric Medicine, Department of Paediatrics, Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, the Hospital for Sick Children, Room 109801, 10th Floor, 686 Bay Street, Toronto, ON, M5G 0A4, Canada.
Nav PersaudDepartment of Family and Community Medicine, University of Toronto, Toronto, Canada.
Jonathon L MaguireInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Catherine S BirkenInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada. catherine.birken@sickkids.ca.
TARGet Kids! Collaboration
Hospital for Sick Children · CAUniversity of Toronto · CAPublic Health Ontario · CA

Funding

CIHR No. MOP 119375
6 · The paper itself

Abstract

backgroundMeasuring body mass index (BMI) has been proposed as a method of screening for preventive primary care and population surveillance of childhood obesity. However, the accuracy of routinely collected measurements has been questioned. The purpose of this study was to assess the reliability of height, length and weight measurements collected during well-child visits in primary care relative to trained research personnel.

methodsA cross-sectional study of measurement reliability was conducted in community pediatric and family medicine primary care practices. Each participating child, ages 0 to 18 years, was measured four consecutive times; twice by a primary care team member (e.g. nurses, practice personnel) and twice by a trained research assistant. Inter- and intra-observer reliability was calculated using the technical error of measurement (TEM), relative TEM (%TEM), and a coefficient of reliability (R).

resultsSix trained research assistants and 16 primary care team members performed measurements in three practices. All %TEM values for intra-observer reliability of length, height, and weight were classified as 'acceptable' (< 2%; range 0.19% to 0.70%). Inter-observer reliability was also classified as 'acceptable' (< 2%; range 0.36% to 1.03%) for all measurements. Coefficients of reliability (R) were all > 99% for both intra- and inter-observer reliability. Length measurements in children < 2 years had the highest measurement error. There were some significant differences in length intra-observer reliability between observers.

conclusionThere was agreement between routine measurements and research measurements although there were some differences in length measurement reliability between practice staff and research assistants. These results provide justification for using routinely collected data from selected primary care practices for secondary purposes such as BMI population surveillance and research.

Indexed as

Body HeightBody WeightAdolescentAnthropometryBiomedical ResearchChildChild, PreschoolCross-Sectional StudiesData CollectionFemaleHumansInfantInfant, NewbornMaleObserver VariationPrimary Health CareChildhood obesityGrowthHeightMeasurementReliabilityTEMWeight

Identifiers

PMID31014250
PMCPMC6480730
OpenAlexW2945500023

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.