Evidence map›Paper›PMID 39825307›Full record

ArticleBMC pediatrics2025

A quality improvement initiative to improve growth monitoring of children attending immunization clinic in an urban primary health centre in Delhi.

Ravneet Kaur, Udita Singh, K Srinath, Anjusha Ranjith, Baridalyne Nongkynrih

Abstract read
In one paragraph

Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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.

Ravneet KaurAll India Institute of Medical Sciences, New Delhi, India.
Udita SinghAll India Institute of Medical Sciences, New Delhi, India. udita76615@gmail.com.
K SrinathAll India Institute of Medical Sciences, New Delhi, India.
Anjusha RanjithAll India Institute of Medical Sciences, New Delhi, India.
Baridalyne NongkynrihAll India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunization clinics present an opportunity for passive screening for malnutrition among young children through plotting of growth charts. Passive screening for malnutrition can enable timely interventions and improve morbidity and mortality of under-five children. Therefore, we aimed to increase the plotting of growth charts (weight-for-age) to 90%, among under-five children attending immunization clinics in an Urban Health Centre (UHC) in south Delhi over three months. METHODOLOGY: A Quality Improvement (QI) initiative was undertaken in the immunization clinic of an urban primary health centre in southern Delhi, from January to March 2024. A multi-faceted QI team was formed. The baseline coverage of weight-for-age growth chart plotting in the immunization clinic was 31%. The process flow was mapped, and critical gaps identified by root cause analysis (Fish Bone technique). Change ideas were discussed and prioritized using a prioritization matrix to implement these through sequential PDSA cycles. The main change ideas implemented were training of health workers, allotting regular supervisors for the session, and appending a stamp for quick identification of underweight children. Run chart was used to assess the changes over time. We considered the outcome achieved if the plotting coverage was more than 90% sustained for at least six consecutive immunization sessions.

resultsMultiple change ideas were implemented over a period of three months. The coverage of growth chart plotting increased to more than 90%. Lack of motivation among stakeholders was a challenge for some change ideas. Monitoring of immunization sessions for plotting of growth chart was continued post the implementation of all change ideas to assess sustainability which showed positive results. Post-implementation of the change ideas, a meeting was held with the members of the QI team to get feedback on this activity.

conclusionThere is potential for improving growth monitoring at immunization clinics, which can be beneficial in strengthening passive screening for malnutrition in primary care settings. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Growth ChartsQuality ImprovementUrban Health ServicesChild, PreschoolFemaleHumansImmunizationIndiaInfantMalePrimary Health CareGrowth monitoringImmunizationPrimary careQuality improvementUnder-five population

Identifiers

PMID39825307
PMCPMC11740522

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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.