Design and Implementation of Web-Based Nutrition Database for Early Childhood Teachers in Ethnic Minority Schools in Northern Thailand

Siwarak  Kitchanapaibul; Thapakorn Ruanjai; Khwunta  Kirimasthong; Chomnard  Singhan

Authors

Siwarak Kitchanapaibul School of Health Sciences, Mae Fah Luang University, Chiang Rai, Thailand, Email: siwarak@mfu.ac.th
Thapakorn Ruanjai School of Health Sciences, Mae Fah Luang University, Chiang Rai, Thailand, Email: Thapakorn.rua@mfu.ac.th https://orcid.org/0009-0004-3923-459X
Khwunta Kirimasthong Center of Excellence in AI and Emerging Technologies, School of Applied Digital Technology, Mae Fah Luang University, Chiang Rai, Thailand, Email: khwunta.kir@mfu.ac.th
Chomnard Singhan School of Medical Sciences, University of Phayao, Phayao, Thailand, Email: Choming_s1@hotmail.com

Keywords:

Early childhood nutrition, Web-based database system, Ethnic minority schools, Northern Thailand

Abstract

The objective of this study was to design and implement an innovative web-based nutrition database system for early childhood teachers in ethnic minority schools in northern Thailand. This study employed a research and development (R&D) design using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model, which consists of five phases: Phase 1: qualitative analysis of the situation and needs among early childhood ethnic minority school teachers and caretakers under the Therd Thai Subdistrict Administrative Organization, Mae Fah Luang District, Chiang Rai Province. Phase 2: designed the system structure and interface prototypes using the information from Phase 1 and the literature review. Phase 3: developed the system, conducted CVI validation, and pilot testing. Phase 4: Provided a one-day training and implemented the system for 8 weeks. Phase 5: evaluation satisfaction through post-implementation evaluation. Data were collected from March 2023 to September 2024. The results showed that the innovative web-based nutrition database system consists of 5 functions, including: (1) Child health profile management system, (2) Nutrition data management and surveillance System, (3) Nutrition education and promotion module, (4) Individual child nutritional assessment, (5) Area-based nutritional status surveillance dashboard. Moreover, post-implementation satisfaction evaluation yielded a total score of 4.67 (SD = 0.46), indicating a high level of satisfaction. In conclusion, encouraging the adoption of this innovative web-based nutrition database system for sustainable use and expansion to other child care centres is recommended.

References

World Health Organization. Malnutrition: Key facts. Available from: https://www.who.int/news-room/fact-sheets/detail/malnutrition, accessed 28 March, 2024.

UNICEF, WHO, World Bank Group. Joint Child Malnutrition Estimates (JME): levels and trends in child malnutrition. Key findings of the 2023 Edition. Available from: https://www.who.int/publications/i/item/9789240073791, accessed 26 March, 2024.

Roesler A, Smith M, Schultz J, Somphong C. Local perspectives and context in relation to feeding practices in ethnic minority communities in northern Thailand. BMC Public Health. 2023; 23(1): 1185. DOI: 10.1186/s12889-023-16233-2

Sroywong D, Wungrath J, Thongprachum A. Factors associated with stunting among hill-tribe preschool children in Mae Chaem District, Chiang Mai Province, Thailand. J Med Health Sci. 2021; 28(3): 104–12.

Janpeang J, Suwannapoom C, Anukunwathaka N. Nutritional status and related factors among ethnic preschool children in Northern Thailand: a cross-sectional study. Child Health Nurs Res. 2022; 28(3): 176-86. DOI: 10.4094/chnr.2022.28.3.176

Wungrath J, Yutabootr S, Limvilai T, Kapheak K. Nutritional value of lunches served in the remote rural area child-care centers in Chiang Mai, Thailand. Open Public Health J. 2022; 15(1): 1-6. DOI: 10.2174/18749445-v15-e2208182

Kitchanapaibul S, Singhan C, Ruanjai T. Factors associated with a double burden of malnutrition among preschool-aged ethnic minority children in northern Thailand: a community-based cross-sectional study. BMC Public Health. 2026; 26(1): 1082. DOI: 10.1186/s12889-026-26777-8

World Bank. Nutrition Overview: The challenge of malnutrition and its economic and human costs. Available from: https://www.worldbank.org/en/topic/nutrition/overview, accessed 28 March, 2024.

Branch RM. Instructional design: The ADDIE approach: Springer; 2009.

Peterson C. Bringing ADDIE to life: Instructional design at its best. J Educ Multimed Hypermedia. 2003; 12(3): 227-41.

Suknark N, Chootrakool H, Siripitayakulkit A, Kitidumrongsuk P, Pensiri F, Treewai P. Developing an application for nursing practice with hypertension. Thai J Public Health. 2024; 54(3): 1028-51.

Das S, Vinayagamoorthy V, Malik A, Kundu S, Kumar T, Varshney S, et al. Development and implementation of childhood obesity module for medical undergraduate using ADDIE model: A mixed method design. J Educ Health Promot. 2025;14(1):231. DOI: 10.4103/jehp.jehp_1459_24

Rashid AFA, Syed Saadun Tarek Wafa SWW, Talib RA, Bakar NMA. Development and validation of a web-based module for preschool child-parent dyads: the weight-related behaviour intervention programme. Malays J Med Health Sci. 2024; 20(6): 137-48. DOI:10.47836/mjmhs20.6.19

Mohd C, Shahbodin F, CKNCK S. Design and development of a multimedia courseware using personalized learning environment approach for nutrition topic. ARPN J Eng Appl Sci. 2016; 11(18): 10714-20.

Faul F, Erdfelder E, Lang A-G, Buchner A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007; 39(2): 175-91. DOI: 10.3758/bf03193146

Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.

Whitley E, Ball J. Statistics review 4: Sample size calculations. Crit Care. 2002; 6(4): 335-341. DOI: 10.1186/cc1521.

Kongpan S, Soontornpipit P, Sillabutra J, Kitidamrongsuk P, Satitvipawee P, Sresumatchai V. Development of web application to support dengue investigation team of communicable disease control operations unit in Phang Nga Province. Thai J Public Health. 2025; 55(1): 1086-116.

World Health Organization. Training course on child growth assessment. Available from: https://www.who.int/publications/i/item/9789241595070, accessed 20 September 2025.

World Health Organization. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. Geneva: WHO; 1995. (Technical Report Series No. 854).

World Health Organization. WHO Anthro (version 3.2.2, January 2011). Geneva: WHO; 2011.

Bureau of Nutrition, Department of Health, Ministry of Public Health. Dietary Reference Intake for Thais 2020. Bangkok: Department of Health; 2020. (In Thai)

Bureau of Nutrition, Department of Health, Ministry of Public Health. Manual on the use of WHO Child Growth Standards 2006 for children aged 0–5 years. Bangkok: Department of Health; 2015. (In Thai)

Bureau of Nutrition, Department of Health, Ministry of Public Health. Manual on growth reference criteria for children aged 6–19 years. Bangkok: Department of Health; 2021. (In Thai)

Nutrition Association of Thailand. Manual for assessment and monitoring of nutrition and development in early childhood. Bangkok: Nutrition Association of Thailand; 2021. (In Thai)

Bureau of Nutrition, Department of Health, Ministry of Public Health. Manual for the management and prevention of early childhood malnutrition (revised edition). Available from: https://nutrition2.anamai.moph.go.th/th/book/download/?did=225422&id=136549&reload=, accessed 15 April 2025. (In Thai)

Suiraoka IP, Nursanyoto H, Fritalia I. Development of stunting prevention education videos through balanced nutrition arrangements for adolescents. Poltekita J Ilmu Kesehat. 2024; 18(2): 163-71. DOI: 10.33860/jik.v18i2.3923

Dinatha NM, Sariyani MD, Natal YR, Maa MFS. Interactive multimedia nutrition education: strategies to strengthen the free nutritious meal program for junior high school students based on Ngada local culture. Vasc Endovascular Rev. 2025; 8(11s): 375-84.

Putri SS, Widodo A, Wihardi Y. The Development of Foodivity interactive as an interactive multimedia to improve students' understanding of food nutrition topic. J Sci Learn. 2022; 5(3): 488-99. DOI: 10.17509/jsl.v5i3.38032

Bunkhong P, Ketren P, Chainongpan C. Development of an e-learning course for healthcare workers studying the developmental surveillance and promotion manual (DSPM). Thai J Health Promot Environ Health. 2021; 44(4): 68-80. (In Thai)

Tongnuang P, Binsa F, Jaisomkom A, Dereh N, Adisaisakda S, Adisaisakda K. Development of PNU SALT TALKING Application for Adults with Hypertension. Netw J Nurs Public Health. 2023; 10(1): 94-103. (In Thai)

Suntep W, Kaewtem Y. Model development using “Healthier Choice” nutrition symbol for promoting health of noodle consumers in Mueang Lampang district. J Health Syst Res.2022; 16(3): 302-18. (In Thai)

Javeedullah M. Role of health informatics in public health surveillance and response. Am J Artif Intell Comput. 2025; 1(1): 70–86.

de Camargo JTF, de Camargo EAF, Veraszto EV, Barreto G, Aceti PAZ, Junior AS. Information technology and public health: Possibilities for innovation through interdisciplinary actions. Procedia Computer Science. 2017; 104:294-301. DOI: 10.1016/j.procs.2017.01.138