Trial reportPreventing chronic disease2009
Randomized controlled trial of a mailed toolkit to increase use of body mass index percentiles to screen for childhood obesity.
Trial report in Preventing chronic disease, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled 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.
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
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Printed educational materials: effects on professional practice and healthcare outcomes.The Cochrane database of systematic reviews · 2020Pooled it
- What is the effectiveness of printed educational materials on primary care physician knowledge, behaviour, and patient outcomes: a systematic review and meta-analyses.Implementation science : IS · 2015Pooled it
- Abdominal adiposity and caregiver recall of healthcare provider identification of child overweight in the United States, 2001-2010.Childhood obesity (Print) · 2013Article
- Parental recall of doctor communication of weight status: national trends from 1999 through 2008.Archives of pediatrics & adolescent medicine · 2012Article
- Children's, their guardians', and health care professionals' perceptions of child overweight in relation to children's weight loss attempts.American journal of health promotion : AJHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
introductionDespite epidemic increases in childhood obesity rates, many providers fail to diagnose obesity. Body mass index (BMI)-for-age percentiles are the recommended screening test. We evaluated whether mailing a toolkit to physicians would increase use of sex-specific BMI-for-age percentiles to screen for childhood obesity.
methodsWe assigned a random sample of family physicians and pediatricians from New York State's medical licensing database to either intervention or control groups in the summer of 2004. At baseline and at follow-up, we sent physicians a survey that asked how often they used various screening methods to identify childhood obesity. Between the surveys, we sent physicians in the intervention group a toolkit that consisted of professional guidelines for childhood obesity screening, a tool for calculating BMI, BMI-for-age growth charts, and educational information.
resultsAt follow-up, more physicians in the intervention group than in the control group reported using BMI percentiles to screen for childhood obesity. Compared with physicians in the control group, physicians in the intervention group had a larger increase in their routine use of BMI percentiles to screen children aged 2 to 5, 6 to 11, and 12 to 20 years, although the differences in the older 2 groups did not attain statistical significance.
conclusionDirectly mailing an educational toolkit to physicians can have a small but positive effect on clinical practice.
Indexed as
Identifiers
19754998PMC2774636W1869945560What OpenQuestion holds
Registered trials
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.