Evidence map›Paper›PMID 39177722›Full record

ArticleMaternal and child health journal2024

Accuracy of Mothers' Perception of Birth Size to Predict Birth Weight Data in Bangladesh.

Jahidur Rahman Khan, K Shuvo Bakar, Nabil Awan, Olav Muurlink, Nusrat Homaira

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Article in Maternal and child health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jahidur Rahman KhanDiscipline of Paediatrics, School of Clinical Medicine, University of New South Wales, Sydney, NSW, 2031, Australia. jahid.khan@unsw.edu.au.
K Shuvo BakarSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia.
Nabil AwanDepartment of Statistics, University of Wisconsin-Madison, Madison, WI, USA.
Olav MuurlinkSchool of Business and Law, Central Queensland University, Brisbane, Australia.
Nusrat HomairaDiscipline of Paediatrics, School of Clinical Medicine, University of New South Wales, Sydney, NSW, 2031, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe prevalence of low birth weight (LBW) is an important indicator of child health and wellbeing. However, in many countries, decisions regarding care and treatment are often based on mothers' perceptions of their children's birth size due to a lack of objective birth weight data. Additionally, birth weight data that is self-reported or recorded often encounters the issue of heaping. This study assesses the concordance between the perceived birth size and the reported or recorded birth weight. We also investigate how the presence of heaped birth weight data affects this concordance, as well as the relationship between concordance and various sociodemographic factors.

methodsWe examined 4,641 birth records reported in the 2019 Bangladesh Multiple Indicator Cluster Survey. The sensitivity-specificity analysis was performed to assess perceived birth size's ability to predict LBW, while Cohen's Kappa statistic assessed reliability. We used the kernel smoothing technique to correct heaping of birth weight data, as well as a multivariable multinomial logistic model to assess factors associated with concordance.

resultsMaternally-perceived birth size exhibited a low sensitivity (63.5%) and positive predictive value (52.6%) for predicting LBW, but a high specificity (90.1%) and negative predictive value (93.4%). There was 86.1% agreement between birth size and birth weight-based classifications (Kappa = 0.49, indicating moderate agreement). Smoothed birth weight data did not improve agreement (83.4%, Kappa = 0.45). Of the sociodemographic factors, early marriage was positively associated with discordance (i.e., overestimation).

conclusionsAn important consideration when calculating the LBW prevalence is that maternally perceived birth size is not an optimal proxy for birth weight. Focus should be placed on encouraging institutional births and educating community health workers and young mothers about the significance of measuring and recording birth weight.

Indexed as

Birth WeightInfant, Low Birth WeightMothersAdultBangladeshFemaleHumansInfant, NewbornPerceptionPregnancyReproducibility of ResultsSurveys and QuestionnairesAgreementBangladeshBirth sizeBirth weight

Identifiers

PMID39177722
PMCPMC11420260

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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.