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

IF 1.8 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Maternal and Child Health Journal Pub Date : 2024-10-01 Epub Date: 2024-08-23 DOI:10.1007/s10995-024-03975-7
Jahidur Rahman Khan, K Shuvo Bakar, Nabil Awan, Olav Muurlink, Nusrat Homaira
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Abstract

Objectives: The 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.

Methods: We 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.

Results: Maternally-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).

Conclusions: An 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.

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孟加拉国母亲对胎儿大小的感知对预测出生体重数据的准确性。
目的:出生体重不足(LBW)的发生率是衡量儿童健康和福祉的一个重要指标。然而,在许多国家,由于缺乏客观的出生体重数据,有关护理和治疗的决定往往基于母亲对孩子出生时体型的看法。此外,自我报告或记录的出生体重数据经常会遇到堆叠问题。本研究评估了感知出生大小与报告或记录的出生体重之间的一致性。我们还调查了堆叠出生体重数据对这种一致性的影响,以及一致性与各种社会人口因素之间的关系:我们研究了 2019 年孟加拉国多指标类集调查报告的 4641 份出生记录。我们采用敏感性-特异性分析来评估感知出生大小预测低出生体重儿的能力,同时采用 Cohen's Kappa 统计量来评估可靠性。我们使用核平滑技术来校正出生体重数据的堆叠,并使用多变量多叉逻辑模型来评估与一致性相关的因素:母亲感知的出生大小对预测低体重儿的灵敏度(63.5%)和阳性预测值(52.6%)较低,但特异性(90.1%)和阴性预测值(93.4%)较高。出生体型和出生体重分类的一致性为 86.1%(Kappa = 0.49,表明一致性中等)。平滑出生体重数据并未提高一致性(83.4%,Kappa = 0.45)。在社会人口学因素中,早婚与不一致(即高估)呈正相关:在计算低体重儿患病率时,一个重要的考虑因素是产妇认为的出生大小并不是出生体重的最佳代表。应重点鼓励住院分娩,并向社区卫生工作者和年轻母亲宣传测量和记录出生体重的重要性。
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来源期刊
Maternal and Child Health Journal
Maternal and Child Health Journal PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.20
自引率
4.30%
发文量
271
期刊介绍: Maternal and Child Health Journal is the first exclusive forum to advance the scientific and professional knowledge base of the maternal and child health (MCH) field. This bimonthly provides peer-reviewed papers addressing the following areas of MCH practice, policy, and research: MCH epidemiology, demography, and health status assessment Innovative MCH service initiatives Implementation of MCH programs MCH policy analysis and advocacy MCH professional development. Exploring the full spectrum of the MCH field, Maternal and Child Health Journal is an important tool for practitioners as well as academics in public health, obstetrics, gynecology, prenatal medicine, pediatrics, and neonatology. Sponsors include the Association of Maternal and Child Health Programs (AMCHP), the Association of Teachers of Maternal and Child Health (ATMCH), and CityMatCH.
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