Evidence map›Paper›PMID 28025865›Full record

Observational studyMaternal & child nutrition2017

Health staff understanding, application, and interpretation of growth charts in Nigeria.

Ifeyinwa O Ezeofor, Ada L Garcia, Stella N Ibeziako, Antonina N Mutoro, Charlotte M Wright

Abstract readObservational Study
In one paragraph

Observational study in Maternal & child nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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.

Ifeyinwa O EzeoforChild Health, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.ORCID 0000-0003-4157-7706
Ada L GarciaHuman Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK.
Stella N IbeziakoCollege of Medicine, University of Nigeria Teaching Hospital (UNTH), Ituku-Ozalla, Enugu State, Nigeria.
Antonina N MutoroChild Health, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
Charlotte M WrightChild Health, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to compare plotting accuracy and interpretation of weight gain patterns in average and small infants on road-to-health (RTH) and the new World Health Organization (WHO) growth charts in Enugu, Nigeria. Child health staff plotted standard weights on both formats. Twelve plotted charts were created, permutating three different weight trajectories (fast, steady, and slow) ending at two attained weights (average and small), with each plotted on both chart formats. Respondents were shown four of these charts and asked to describe the weight gain pattern shown and what action this pattern would prompt. There were 222 respondents, of whom 78% were hospital based; 54% were nurses, 32% medical doctors, and 13% nutritionists. Plotting accuracy was good on both the WHO and RTH charts, but rating of weight gain was generally poor. On the RTH chart, slow weight gain was correctly recognized in only 19% average and 35% small infants, and responses were not significantly associated with the pattern shown. On the WHO charts, slow weight gain was correctly recognized in 40% average and 65% small infants (p = .002 and <.001), but they were also more likely to rate small children with normal growth as slow weight gain. In a logistic regression model, final weight predicted a slow weight gain rating more strongly (OR = 2.4; 1.8-3.2) than an actual slow weight gain pattern (OR 1.8; 1.1-1.6). Health staff seemed unable to recognize slow weight gain and were influenced more by current weight than actual weight gain pattern, though the new WHO format improved recognition.

Indexed as

Child DevelopmentGrowth ChartsHealth Knowledge, Attitudes, PracticeHealth PersonnelBody HeightCross-Sectional StudiesHumansInfantNigeriaSurveys and QuestionnairesWeight GainWorld Health Organizationanthropometrygrowth monitoringhealth professionalinfantNigeriaundernutrition

Identifiers

PMID28025865
PMCPMC6865963

What OpenQuestion holds

Textmetadata
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.