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Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses

BACKGROUND: Inappropriate anthropometric measurements of infants and toddlers lead to a misclassification in nutritional status and loss of important interventions. Considering the practice conducted in this program within a country, its impact on millions of children must be considered. This study...

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Autores principales: Sunjaya, Deni Kurniadi, Herawati, Dewi Marhaeni Diah, Indraswari, Noormarina, Megawati, Ginna, Sumintono, Bambang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481057/
https://www.ncbi.nlm.nih.gov/pubmed/34603456
http://dx.doi.org/10.1155/2021/5515712
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author Sunjaya, Deni Kurniadi
Herawati, Dewi Marhaeni Diah
Indraswari, Noormarina
Megawati, Ginna
Sumintono, Bambang
author_facet Sunjaya, Deni Kurniadi
Herawati, Dewi Marhaeni Diah
Indraswari, Noormarina
Megawati, Ginna
Sumintono, Bambang
author_sort Sunjaya, Deni Kurniadi
collection PubMed
description BACKGROUND: Inappropriate anthropometric measurements of infants and toddlers lead to a misclassification in nutritional status and loss of important interventions. Considering the practice conducted in this program within a country, its impact on millions of children must be considered. This study assesses the ability of community health volunteers (CHVs) before and after anthropometric training on infants and toddlers. Methods. This study used a quantitative approach with a quasiexperimental and pretest-posttest design. The pre- and posttraining assessments of CHVs were conducted by standardized trainers using instruments developed according to WHO standards. There were 11 and 13 statement items for infants' and toddlers' indicators of assessment in anthropometric measurements, respectively. The result of the assessment was then analyzed using Rasch modeling with stacking and racking data analysis techniques. RESULTS: The CHVs' skills before training were far from adequate. Although widely varied, all trainees improved their abilities. Stacking analysis showed that the skills of all CHVs in measuring infants and toddlers increased by 2.68 and 3.34 logits (p < 0.01), respectively. Racking analysis showed a decrease in the perceived difficulty of all items by 2.61 and 3.07 logits for infant and toddler measurements, respectively (p < 0.01). The results of the racking analysis showed that the difficulty in measuring the anthropometrics of infants decreased more than that of toddlers. CONCLUSIONS: CHVs' capacity to monitor child growth must be refreshed regularly. Standardized and proper training and assessment were developed to make CHVs reliable in taking anthropometric measurements of infants and toddlers.
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spelling pubmed-84810572021-09-30 Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses Sunjaya, Deni Kurniadi Herawati, Dewi Marhaeni Diah Indraswari, Noormarina Megawati, Ginna Sumintono, Bambang J Environ Public Health Research Article BACKGROUND: Inappropriate anthropometric measurements of infants and toddlers lead to a misclassification in nutritional status and loss of important interventions. Considering the practice conducted in this program within a country, its impact on millions of children must be considered. This study assesses the ability of community health volunteers (CHVs) before and after anthropometric training on infants and toddlers. Methods. This study used a quantitative approach with a quasiexperimental and pretest-posttest design. The pre- and posttraining assessments of CHVs were conducted by standardized trainers using instruments developed according to WHO standards. There were 11 and 13 statement items for infants' and toddlers' indicators of assessment in anthropometric measurements, respectively. The result of the assessment was then analyzed using Rasch modeling with stacking and racking data analysis techniques. RESULTS: The CHVs' skills before training were far from adequate. Although widely varied, all trainees improved their abilities. Stacking analysis showed that the skills of all CHVs in measuring infants and toddlers increased by 2.68 and 3.34 logits (p < 0.01), respectively. Racking analysis showed a decrease in the perceived difficulty of all items by 2.61 and 3.07 logits for infant and toddler measurements, respectively (p < 0.01). The results of the racking analysis showed that the difficulty in measuring the anthropometrics of infants decreased more than that of toddlers. CONCLUSIONS: CHVs' capacity to monitor child growth must be refreshed regularly. Standardized and proper training and assessment were developed to make CHVs reliable in taking anthropometric measurements of infants and toddlers. Hindawi 2021-09-21 /pmc/articles/PMC8481057/ /pubmed/34603456 http://dx.doi.org/10.1155/2021/5515712 Text en Copyright © 2021 Deni Kurniadi Sunjaya et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sunjaya, Deni Kurniadi
Herawati, Dewi Marhaeni Diah
Indraswari, Noormarina
Megawati, Ginna
Sumintono, Bambang
Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses
title Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses
title_full Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses
title_fullStr Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses
title_full_unstemmed Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses
title_short Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses
title_sort training and assessing model for the ability of community health volunteers in anthropometric measurement using the rasch stacking and racking analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481057/
https://www.ncbi.nlm.nih.gov/pubmed/34603456
http://dx.doi.org/10.1155/2021/5515712
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