Instrument development for measuring the level of health problems of school-aged children who access online media in the Thailand 4.0: IMHP-SaC

Authors

  • Atchariya Wonginchan Faculty of Nursing, Khon Kaen University
  • Juraporn Tangpukdee Faculty of Nursing, Khon Kaen University
  • Suphasak Wonginchan Thailand Cable TV and Telecommunication Association, Bangkok
  • Sureeporn Kearttiwongkru Ministry of Public Health, Nonthaburi
  • Sujitra Khonggungong Faculty of Dentistry, Khon Kaen University

Keywords:

online media access in Thailand 4.0, measurement tool, health problems of school-age children

Abstract

Development of an instrument for measuring health problem levels of school-aged children who have access to online media in the Thailand 4.0 (Instrument for measuring health problem levels of school-aged children: IMHP-SaC) requires high levels of reliability and validity, in order to achieve the maximum benefit of the measurement. This research aimed to create a tool to measure health problem levels of school-aged children who have access to online media in the Thailand 4.0 era.

Sample consisted of five experts for the instrumental verification, and 30 parents of school-age children who were purposively selected. Research tools were an expert opinion assessment form and a questionnaire for experimental groups in research. The study comprised three steps: defining objectives, creating questions, and checking quality of the measuring instruments. The data were analyzed for the Content validity index (CVI), the Index of-item-objective congruence (IOC), and the confidence value was the Cronbach-alpha coefficient.

The study results revealed that the created health problem scale of school-age children with access online media in the Thailand 4.0 has a CVI value of 0.93, an IOC value greater than or equal to 0.60, and
a Cronbach-alpha coefficient of 0.93. This developed measurement tool was reliable and suitable for further use to measure health problem levels of school-aged children who have access to online media
in the Thailand 4.0.

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References

National Statistical Office. Survey on the use of information and communication technology in households 2017. [Internet]. Bangkok: National Statistical Office; 2017 [cited 2021 Aug 1]. Available from: https://gnews.apps.go.th/news?news=23888

Electronic transactions development agency. Thailand Internet user behavior 2020. [Internet]. Bangkok: ETDR; 2020 [cited 2021 Aug 1]. Available from: http://www.etda.or.th/th/newsevents/pr-news/ETDA-releasedIUB-2020.aspx. (in Thai)

Thai Health Promotion Foundation. The survey found that Thai children are addicted to the Internet higher than the world average. [Internet]. Bangkok; 2018 [cited 2021 Aug 1]. Available from: https://www.thaihealth.or.th/Content/41463. (in Thai)

Ying CY, Maria Awaluddin S, Kuay LK, Man CS, Baharudin A, Sahril N, et al. Association of internet addiction with adolescents’ lifestyle: A national school-based survey. Int J Environ Res Public Health 2021;18(1):1-13. doi:10.3390/ijerph 18010168

Cheng L, Duan M, Mao X, Ge Y, Wang Y, Huang H. The effect of digital health technologies on managing symptoms across pediatric cancer continuum: A systematic review. Int J Nurs Sci 2021; 8(1):22-9. doi:10.1016/j.ijnss.2020.10.002

Lindvall K, Vaezghasemi M, Feldman I, Ivarsson A, Stevens KJ, Petersen S. Feasibility, reliability and validity of the health-related quality of life instrument Child Health Utility 9D (CHU9D) among school-aged children and adolescents in Sweden. Health Qual Life Outcomes 2021;19(1):1-13. doi:10.1186/s12955-021-01830-9

McDonald A, Holttum S, Drey NSJ. Primaryschool-based art therapy: exploratory study of changes in children’s social, emotional and mental health. Int J Art Ther Inscape 2019;24(3):125-38. doi:10.1080/17454832.2019.1634115

Wongprasert, R. The Development of Physical Fitness Test by using Thai Folk Activities for Early Childhood Students, The Demonstration Schoolof Silpakorn University (Early Childhood and lementary). SERJ 2015; 7(2): 65-78. (in Thai)

Sriboonyawattana N, Tiansawad S. Validation of Child Health Status Questionnaire for Thai School-AgedChildren.IntJEvidBasedHealthc 2016;14(Suppl 1):S33. doi:10.1097/01.xeb.0000511675.65786.bc

Prasith-rathsint S. Social science research methodology. 14th ed. Bangkok: Samlada;2007. (in Thai)

Srisatidnarakul B. The methodology in Nursing research. 2 n d ed. Bangkok:Chulalongkorn University; 2002. (in Thai)

Davis LL. Instrument review: Getting the most from a panel of experts. Appl Nurs Res 1992;5(4):194-7. doi:10.1016/S0897-1897(05)80008-4

Yusoff MSB. ABC of content validation and content validity index calculation. Educ Med J 2019; 11(2): 49-54. doi:10.21315/eimj2019.11.2.6

Duangthipsirikul S. Finding or developing data collection tools to answer metrics. [Internet].Banngkok: Health Intervention and Technology Assessment Program; 2018 [cited 2021 Aug 16]. Available from: http://oec.anamai.moph.go.th/download/OEC_2016/MEETTING2561 /MAR2561/18_ 21Mar2018/Lecture%20Instrument.pdf

Vanichbuncha K. Using SPSS for windows to analyzedata. 27th ed. Banngkok: Chulalongkorn University; 2015. (in Thai)

Hair JF, Hult GTM, Ringle C M, Sarstedt MA. Primer on partial least squares structural equation modeling (PLS-SEM). California,CA: Sage Publications; 2014.

Wonginchan A. Fear of school-age children with online media. Journal of Nursing Science & Health 2018;41(4):145-54. (in Thai)

Mersereau M. Universal and non-excludable broadband internet access: A modest propo salf or municipal provisioning of broadband as a basic service. Can J Urban Res 2021;30(1):30-9.

Aydemir H, Cinar M, Karali Y. Analysis of internet addiction levels of primary school, secondary school and high school senior students. Int Online J Educ Sci 2021;13(4): 1152-78. doi:10.15345/ iojes.2021.04. 014

Srisatidnarakul B. The methodology in nursing research. 5th ed. Bangkok: Chulalongkorn University; 2010. (in Thai)

Lopez-Fernandez O. Emerging health and education issues related to internet technologies and addictive problems. Int J Environ Res Public Health 2021;18(1):1-19. doi:10.3390/ijerph18010321

Ercan S, Acar HT, Arslan E, Canbulut A, Ogul A, Çetin C. Effect of internet addiction on sleep quality, physical activity and cognitive status among university students. J Turkish Sleep Med 2021;8(1):49-56. doi:10.4274/jtsm.galenos.2021.96158

Turner RC. Indexes of item-objective congruence for multidimensional items. International journal of testing 2003; 3(2): 163-71.

Eddy LH, Bingham DD, Crossley KL, Shahid NF, Ellingham-Khan M, Otteslev A, et al. The validity and reliability of observational assessment tools available to measure fundamental movement skills in school-age children:Asystematicreview.PLoSOne2020;15(8 Aug 2020):1-30. doi:10.1371/journal. pone.0237919

Published

2022-03-29

How to Cite

1.
Wonginchan A, Tangpukdee J, Wonginchan S, Kearttiwongkru S, Khonggungong S. Instrument development for measuring the level of health problems of school-aged children who access online media in the Thailand 4.0: IMHP-SaC. JNSH [Internet]. 2022 Mar. 29 [cited 2022 Dec. 3];45(1):99-111. Available from: https://he01.tci-thaijo.org/index.php/nah/article/view/252016

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Section

Research Article