Factors affecting working-age citizens' potential decisions to use private nursing homes in Muang Samut Sakhon District, Samut Sakhon Province

Authors

  • Thanusin Saleeon Faculty of Public Health, Burapha University https://orcid.org/0000-0002-2250-7270
  • Pannarat Tanachockchaivong คณะสาธารณสุขศาสตร์ มหาวิทยาลัยราชภัฏวไลยอลงกรณ์ ในพระบรมราชูปถัมภ์ จังหวัดปทุมธานี
  • Pamonsri Inchon สำนักวิชาวิทยาศาสตร์สุขภาพ มหาวิทยาลัยแม่ฟ้าหลวง

Keywords:

Theory of planned behavior (TPB), potential decisions, nursing homes, working-age

Abstract

This research was a cross-sectional analytical study. The purpose of this study was to examine factors affecting working-age people's future intentions to use private nursing homes in Muang Samut Sakhon District, Samut Sakhon Province. A total of 275 participants were recruited using multistage sampling. Data were obtained using a questionnaire constructed within a quality check for content validity by three experts. IOC ratings ranged from 0.67-1.00 on each question. Cronbach's alpha coefficient formula was used to conduct confidence tests on 5 sides. The values for each side were 0.86, 0.82, 0.88, 0.84, and 0.86. Data were analyzed using descriptive and inferential statistics, stepwise multiple regression analysis, Chi-Square, and ANOVA. It was found that the working age group, which varies from 25 to 59 years old, had varying intents to utilize private nursing homes in the future, determined by marital status, educational level, and occupation. However, there was no difference in average monthly income. Statistically significant, younger age groups were less likely to use the service than older age groups. Overall, the average level of opinion on many aspects of the theory of planned behavior was high. The adjusted predictive efficiency, as determined by stepwise multiple regression analysis, was found to be 0.276 (p-value <0.001), or 27.60 percent. Based on this information, the following equation was created to estimate the likelihood that working-age individuals will use private nursing home services in the future: Y = 2.030 + 0.350 (subjective norm) + 0.292 (attitude toward behavior). Results indicate that there is a potential for private nursing home services. Promoting information on the elderly's benefits and health value is recommended, to encourage a positive mindset, awareness, and attitude, resulting in motivation.        

Author Biography

Thanusin Saleeon, Faculty of Public Health, Burapha University

Thai

References

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

Anumansirikul, S. (2018). Marketing mix factors influencing decision in choosing the elderly care service center in Nonthaburi province. Doctoral dissertation, Sukhothai Thammathirat Open University, Nonthaburi, Thailand.

Best, John W. (1977). Research in Education. 3rd ed. Englewood Cliffs, New Jersey : Prentice Hall, Inc.

Chaisombut, D., & Yana, B. (2021). Factors Related to the Preparation for Aging among Pre-aging Population. Nursing Journal of the Ministry of Public Health, 29(3), 131-143.

Chornsawat, R., & Yansomboon, S. (2020). Service marketing mix and nursing home choosing behavior in Bangkok metropolitan area. National conference collaborates with 5 institutes on Business across crisis proceedings.

Chuelek, P., & Boonyarattanasevi, T. (2018). Elderly workforce: Management challenges. Civil servant journal, 60(4), 1-25.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of test. Psychometrika, 16, 297-334.

Department of health service support. (2022). Knowledge documents for health business establishments.

Department of Older Persons. (2017). Strategic Plan of the Department of Elderly Affairs 2017 – 2021. Bangkok.

Department of Older Persons. (2022). Situation of the Thai older persons 2022. Bangkok, Amarin Corporations Public Company Limited.

Department of provincial administration. (2022). Statistics on the elderly in Thailand: 77 provinces. Ministry of Interior, Thailand. https://www.dop.go.th/th/know/side/1/1/1766.

Intayos, H., Netpradit, N., & Samutachak, B. (2021). A causal effect of customer relationship management, attitude, subjective norm, perceived behavioral control of customer affecting purchase intention to using anti-aging business in Thailand. ABAC Journal, 41(1), 121-145.

Kitcharoenkasem, P.(2016) . Preparation for Retirement of Pre-Aging Employees at Krung Thai Bank. Mahidol University's Integrated Social Science Journal. 3(2), 3-31.

Lei, M., Deeprasert, J., Li, R. Y. M., & Wijitjamree, N. (2022). Predicting Chinese older adults' intention to live in nursing homes using an integrated model of the basic psychological needs theory and the theory of planned behavior. Frontiers in Public Health, 10, 947-946.

Li, S., Huang, J., Lu, C., Wu, Z., & Antwi-Afari, M. F. (2024). Investigating the Influencing Factors of the Purchase Intention of the Continuing Care Retirement Community: A Case Study of Shenzhen. Sustainability, 16(5), 2201.

Meechana, P., Khansakorn, N., Silawan, T., Rawiworrakul, T., & Phijaisanit, P. (2017). Readiness of Pre- Aging Population for Quality Aging Society in Nongyasai Sub district, Nongyasai District, Suphanburi Province. EAU Heritage Journal Science and Technology, 11(1), 259-271.

Middleton, C., & Smith, S. (2011). Purchasing habits of senior farmers' market shoppers: Utilizing the theory of planned behavior. Journal of Nutrition in Gerontology and Geriatrics, 30(3), 248-260.

Nosi, C., D’Agostino, A., Pagliuca, M., & Pratesi, C. A. (2017). Securing retirement at a young age. Exploring the intention to buy longevity annuities through an extended version of the theory of planned behavior. Sustainability, 9(6), 1069.

Silanoy, L., (2015). Sample Size Determination for Survey and Experimental Quantitative Research Design. Bangkok: Bangkok Blueprint.

Thahanthai, K., Saetang, J., Thongnuakaw, C., Gadeelone, P., Lucktitham, S., Dongnadeng, H., Taneera. W. (2021). The Challenges of Preparing for Aging Society of Generation X in Muang District, Trang Province. Journal of Humanities and Social Sciences Review, Lampang Rajabhat University, 9(3), 40-55.

Thamrongworakun, P,. (2022). The ageing readiness preparation of the middle-aged adults. Ramkhamhaeng Journal of Public Administration. 5(2/2022), 98-119.

Thanakwang, K., & Soonthorndhada, K. (2008). Family relations and health-promoting behavior among older people in Nan Province. Medical journal of the Medical Association of Thailand, 91(7), 1102.

Timthong, T. (2022). Application of the theory of planed behavior model to investigate purchase intention of sustainable housing among Thai consumers. Master’s thesis, Mahidol University, Bangkok, Thailand.

Zhou, Z., Shen, G., Xue, J., Sun, C., Liu, Y., Cong, W., et al. (2023). The formation of citizens' intentions to purchase prefabricated housing in China: the integrating theory of planned behavior and norm activation model. Engineering, Construction and Architectural Management. Vol. ahead-of-print No. ahead-of-print.

Downloads

Published

2024-09-05

How to Cite

Saleeon, T., Tanachockchaivong, P. . ., & Inchon, P. . (2024). Factors affecting working-age citizens’ potential decisions to use private nursing homes in Muang Samut Sakhon District, Samut Sakhon Province. Public Health Policy and Laws Journal, 10(3), 567–581. Retrieved from https://so05.tci-thaijo.org/index.php/journal_law/article/view/273387

Issue

Section

Original Article