Extracting the frequent sequential patterns among the factors associated with neonatal birthweight

Atsa’am, Donald Douglas; Omotehinwa, Temidayo Oluwatosin; Devine, Samuel Nii Odoi; Kolog, Emmanuel Awuni; Dada, Oluwaseun Alexander

doi:10.1016/j.jnn.2022.11.016

Cited by 2 publications

References 39 publications

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A novel scale for assessing the risk of low birthweight: Birthweight questionnaire

Atsa'am,

Agjei,

Akingbade

et al. 2024

Evaluation Clinical Practice

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BackgroundThe birthweight of a newborn is critical to their health, development, and well‐being. Previous studies that used maternal characteristics to predict birthweight did not employ a harmonised scale to assess the risk of low birthweight (LBW).ObjectiveThe goal of this study was to develop a new instrument that uses items on a uniform scale to assess the risk of an LBW in a pregnant woman.MethodsItem response theory was employed to evaluate a similar existing scale, and some weaknesses were identified.ResultsBased on the observed weaknesses of the existing scale, a new uniform scale was developed, which is a 3‐point Likert scale consisting of seven items.ConclusionThe scale, termed birthweight questionnaire, is a valuable tool for collecting data that could assist in assessing the risk of an LBW at every stage of pregnancy.

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A novel scale for assessing the risk of low birthweight: Birthweight questionnaire

Atsa'am,

Agjei,

Akingbade

et al. 2024

Evaluation Clinical Practice

View full text Add to dashboard Cite

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Segmentation of Pregnant Women to Guide How Intervention Programs Are Formulated and Implemented to Ensure Positive Pregnancy Outcomes

Atsa’am

Gbaden²,

Wario

2023

Advances in Healthcare Information Systems and Administration

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Interventions and schemes aimed at reducing the risks associated with pregnancy are often implemented wholesale. This often leads to misdirection of interventions to the wrong patients. To address this, there was the need to extract segments that subgroup maternal attributes into frequently occurring patterns. Some secondary data consisting of records of pregnant women who attended antenatal care (ANC) visits at a hospital were subjected to association rules mining. The analysis extracted and sub-grouped the attributes and characteristics of pregnant women that often co-occur. Segmentation was done in three sub-groups. Each segment consists of both positive and risk attributes/characteristics that often occur together in a pregnant woman. With the aid of the segments, intervention programs can be designed and delivered according to the needs and requirements of each segment. This provokes a new perspective on how quality healthcare service delivery can be channeled to pregnant women based on specific needs.

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Extracting the frequent sequential patterns among the factors associated with neonatal birthweight

Cited by 2 publications

References 39 publications

A novel scale for assessing the risk of low birthweight: Birthweight questionnaire

A novel scale for assessing the risk of low birthweight: Birthweight questionnaire

Segmentation of Pregnant Women to Guide How Intervention Programs Are Formulated and Implemented to Ensure Positive Pregnancy Outcomes

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