Evidence map›Paper›PMID 32883257›Full record

ArticleBMC pediatrics2020

Improving assessment of child growth in a pediatric hospital setting.

Priya M Gupta, Emily Wieck, Joel Conkle, Kristina A Betters, Anthony Cooley, Selena Yamasaki, Natasha Laibhen-Parkes, Parminder S Suchdev

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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.

Priya M GuptaNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, USA. pmgupta@emory.edu.ORCID 0000-0002-9670-5595
Emily WieckDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Joel ConkleHealth and Nutrition Section, UNICEF, Windhoek, Namibia.
Kristina A BettersDepartment of Pediatrics, Vanderbilt University, Nashville, TN, USA.
Anthony CooleyDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Selena YamasakiChildren's Healthcare of Atlanta, Atlanta, GA, USA.
Natasha Laibhen-ParkesChildren's Healthcare of Atlanta, Atlanta, GA, USA.
Parminder S SuchdevNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, USA.
Emory University · USChildren's Healthcare of Atlanta · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate anthropometric measurements are essential for assessing nutritional status, monitoring child growth, and informing clinical care. We aimed to improve height measurements of hospitalized pediatrics patients through implementation of gold standard measurement techniques.

methodsA quality improvement project implemented computerized training modules on anthropometry and standardized wooden boards for height measurements in a tertiary children's hospital. Heights were collected pre- and post-intervention on general pediatric inpatients under 5 years of age. Accuracy of height measurements was determined by analyzing the variance and by comparing to World Health Organization's defined biologically plausible height-for-age z-scores. Qualitative interviews assessed staff attitudes.

resultsNinety-six hospital staff completed the anthropometry training. Data were available on 632 children pre- and 933 post-intervention. Training did not increase the proportion of patients measured for height (78.6% pre-intervention vs. 75.8% post-intervention, p = 0.19). Post-intervention, wooden height boards were used to measure height of 34.8% patients, while tape measures and wingspan accounted for 42.0% and 3.5% of measurements, respectively. There was no improvement in the quality of height measurements based on plausibility (approximately 3% height-for-age z-scores measurements flagged out of range pre- and post-intervention), digit preference (13.4% of digits pre- and 12.3% post-intervention requiring reclassification), or dispersion of measurements (height-for-age z-scores standard deviation 1.9 pre- and post-intervention). Staff reported that using the wooden board was too labor consuming and cumbersome.

conclusionsOur findings suggest that efforts to improve anthropometric measurements of hospitalized children have multiple obstacles, and further investigation of less cumbersome methods of measurements may be warranted.

Indexed as

Hospitals, PediatricNutritional StatusAnthropometryBody HeightBody WeightChildFamilyHumansInpatientsAnthropometryChild healthGrowthPediatrics

Identifiers

PMID32883257
PMCPMC7469098
OpenAlexW3082439890

What OpenQuestion holds

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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.