Development of Coronary Heart Disease Prevention Model by Applying Artificial Intelligence and Community Participation for the elderly with Hypertension and Diabetes in The 11th Regional Health Area under the Ministry of Public Health

Main Article Content

Sanpet Ruangaram
Pornsuk Hunnirun

Abstract

This research and development project aimed to study the situations, develop coronary heart disease prevention model applying artificial intelligence with participation of the communities, and evaluate satisfaction towards the use of developed model. The research samples were 326 elderly with hypertension and diabetes and 36 related people in the communities in the 11th Regional Health Area under the Ministry of Public Health during October 2022- March 2023. The research findings revealed that the situation in terms of knowledge (gif.latex?\bar{x}  ± SD; 0.74 ± 0.40) and behavior (2.42 ± 0.64) in preventing coronary heart disease of the samples was at a high level. At the second phase, after applying 2E2S2A activity through the application using the developed model, it found that the samples had a high level of knowledge (0.85 ± 0.35), and the behavior in preventing coronary heart disease (2.67 ± 0.10) was higher than before applying the developed model. The health outcomes were significantly better conditions of blood pressure, fasting blood sugar, and body mass index (BMI). At the third phrase, it found that the satisfaction of samples towards the developed model was at the highest level (4.52 ± 0.23). The model could appropriately be applied in each context due to creation of understanding covering all health dimensions and ease of access. It also affected behavioral changes in preventing coronary heart disease with the emphasis of continuous participation of family and community.

Article Details

How to Cite
1.
Ruangaram S, Hunnirun P. Development of Coronary Heart Disease Prevention Model by Applying Artificial Intelligence and Community Participation for the elderly with Hypertension and Diabetes in The 11th Regional Health Area under the Ministry of Public Health . Health Sci J Thai [Internet]. 2024 Feb. 6 [cited 2024 Dec. 22];6(1):90-7. Available from: https://he02.tci-thaijo.org/index.php/HSJT/article/view/265411
Section
Original articles

References

World Health Organization. Noncommunica ble diseases. [Internet]. 2018 [Cited in 9 February, 2022]. Available from: https://www. who.int/news-room/fact-sheets/detail/non-communicable diseases.

Thai Health Promotion Foundation. NCDs (Non-Communicable diseases). [Internet]. 2021 [Cited in 9 February, 2022]. Available from: https://www.thaihealth.or.th/microsite/ categories/5/ncds/2/173/176-กลุ่มโรค+NCDs. html. (In Thai)

Sanchis-Gomar F, Perez-Quilis C, Leischik R, Lucia A. Epidemiology of coronary heart disease and acute coronary syndrome. Ann Transl Med 2016; 4(13): 256. https://doi.org/10.21037/atm.2016.06.33

Health Administration Division, Ministry of Public Health. Service Plan B.E. 2560-2564. Bangkok: Printing House of the Agricultural Cooperatives Association of Thailand; 2017. (In Thai)

Phothisat S, Phongsuthana S. Hypertension. Bangkok: Department of Medical Services; 2014. (In Thai)

Strategy and Planning Division, Ministry of Public Health. The number and mortality rates of non-communicable diseases from 2016 to 2018 (including 4 diseases: hypertension, diabetes, coronary heart disease, stroke, chronic obstructive pulmonary disease, and emphysema). [Internet]. 2021 [Cited in 6 December, 2022]. Available from: http://www.thaincd.com/doc ument/file/info/non-communicable-disease/จำนวนและอัตราตายโรค2559-2561.xlsx. (In Thai)

Korakotkamjon P, Namjuntra R, Tangkawanich T. Knowledge, cardiovascular risk and health behaviors among patients with diabetes and hypertension in Mueang Chiangrai district. Thai J Cardio Thoracic Nurs 2020; 31(1): 46-61. (In Thai)

American Diabetes Association. Standard of medical care in diabetes-2015 abridged for primary care providers. Diabetes Care 2015; 33(2): 97-113. https://doi.org/10.2337/diaclin.33.2.97

Wannasiriku P, Srijaranai S, Thanaphakawat L. Deaths of people in 4th Regional health area by coronary artery disease. Res Dev Health Syst 2019; 12(1): 1-11. (In Thai)

Aggarwal M, Ornish D, Josephson R, Brown TM, Ostfeld RJ, Gordon N, Madan S, Allen K, Khetan A, Mahmoud A, Freeman AM, Aspry K. Closing Gaps in Lifestyle Adherence for Secondary Prevention of Coronary Heart Disease. Am J Cardiol 2021; 145: 1-11. https://doi.org/10.1016/j.amjcard.2021.01.005

Pujinda P, Sanit P. Concept of the Innovation District Development: A Case Study of Yothi Medical and Healthcare Innovation District. JARS 2022; 19(2): 81-91. (In Thai)

Dejpitaksirikul S, Sinthuchai S, Ubolyam D. Effective Communication to Enhance Health Literacy in Diabetic Older Adults with High Blood Pressure. Nurs J Ministry Public Health 2022; 32(1): 1-13. (In Thai)

Saibuator S, Namahoot KS. Patterns of behavioral acceptance of intentionality in the use of smart applications for health of gen X. SWU eJournals Syst 2019; 10(2): 78-91. (In Thai)

Thajang S, Panyathorn K, Loonprom N, Kensila U, Khomhanpol P, Jeenklun K, et al. Effects of using media application on prevention of complications for knowledge on patients with hypertension. Udon Thani Rajabhat Univ J Sci Technol 2020; 8(2): 89-104. (In Thai)

Daniel WW. Biostatistics: A foundation for analysis in health sciences (Eighth Edition). New York: John Wiley & Sons; 2010.

Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 1989; 13(3): 319-40. https://doi.org/10.2307/249008

Rosenstock IM. Historical origins of health belief model. Health Educ Monogr 1974; 2: 328-38. https://doi.org/10.1177/109019817400200403

Rogers EM. Diffusion of innovations. New York: Free Press; 1995.

Cohen JM, Uphoff NT. Participation's place in rural development seeking clarity through specificity. World Dev 1980; 8(3): 213-35. https://doi.org/10.1016/0305-750X(80)90011-X

Bloom BS. Handbook on formative and summative evaluation of student learning. New York: McGraw-Hill; 1971.

Best JW. Research in education (Third edition). New Jersey: Prentice-Hall; 1977.

Srisa-at B. Introduction to Research (Tenth edition). Bangkok: Suweerivasarn; 2017. (In Thai)

Field A. Contrast and Post Hoc Tests for One-way ANOVA. [Internet]. 2000 [Cited in 9 February, 2022]. Available from: http://www. statisticshell.com/contrasts.pdf/.

Thajang S, Panyathorn K, Loonprom N, Kensila U, Khomhanpol P, Jeenklun K, et al. Effects of using media application on prevention of complications for knowledge on patients with hypertension. Udon Thani Rajabhat Univ J Sci Technol 2020; 8(2): 89-104. (In Thai)

Abdullah AH, Baker HH. Health beliefs of patients with coronary heart disease toward secondary prevention: The health beliefs model as a theoretical framework. Indian J Public Health Res Dev 2019; 10(1): 821-6. https://doi.org/10.5958/0976-5506.2019.00161.X

Hunnirun P. Diffusion of Innovation Theory: Concept and Application in Research. National Journal of Academic Conferences and Research Presentations 19th "Integrating research under global change for a sustainable society" Western University. 2021; 118-132. (In Thai)