The effectiveness of WHO Anthro training in improving the data quality of nutritional status of preschool children

Evi Wahyuntari, Faurina Rizca Fauzia

Abstract


ABSTRACT

Background: The triple burden problem in Indonesia has become one of the Sustainable Development Goals (SDGs) targets that must be urgently addressed due to its critical role in reducing toddler mortality attributed to malnutrition. However, the early detection of child growth issues is not optimal because some teachers still struggle to determine nutritional status, resulting in manual and inaccurate data.

Objectives: This study aims to assess the effectiveness of providing WHO Anthro training on the quality of nutrition status data for schoolchildren.

Methods: This research employs a quasi-experimental design with a pretest-posttest equivalent design, measured repeatedly, using two groups. The study was conducted from January to March 2023. A total of 40 ABA School Teachers at Kapenawon Gamping who had provided informed consent participated as respondents. Training participants who did not pass the test three times were excluded. The control group received training on plotting nutritional status using WHO charts, while the treatment group was trained using the WHO Anthro Plus application. The training spanned two months, including pre-tests, mid-tests, and post-tests. Data analysis involved the Friedman test followed by the Tukey HSD post hoc test.

Results: The results of the Friedman test revealed a significant difference in the quality of nutritional status data produced by the group trained using the WHO Anthro Plus application (p-value = 0.000, p < 0.05). This difference was observed in both data accuracy and the perceived benefits. This improvement occurred because training participants were able to practice using WHO Anthro Plus in their respective schools.

Conclusions: The study concludes that the WHO Anthro Plus application facilitates school teachers in determining nutritional status more accurately and efficiently. As a result, the reported data is of higher quality, enhancing the early detection of child growth issues in schools.

 

KEYWORDS: data quality; kindergarten teacher; training; stunting; WHO Anthro


Keywords


data quality; kindergarten teacher; training; stunting; WHO Anthro

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DOI: http://dx.doi.org/10.21927/ijnd.2024.12(2).%25p

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