Developing an elderly care model by analyzing and classifying health status and health literacy of the target group in the service area of Lhub Kha Health Promotion Hospital, Kaeng Khro, Chaiyaphum.
Keywords:
Elderly Care Model, Cluster analysis, Health LiteracyAbstract
The elderly population continues to face challenges with chronic diseases, physical impairments, and a lack of health literacy. These issues can be addressed through cluster analysis and the provision of tailored care models for each group. This research and development study aims to develop a care model for the elderly by clustering based on health status and health literacy, and to evaluate the developed model. The study involved 199 elderly participants in eight villages of Lhubka Subdistrict, Kaeng Khro District, Chaiyaphum Province, during the year 2024. Data were collected using questionnaires and evaluation forms, and analyzed using descriptive statistics and inferential statistics (Cluster analysis & paired t-test).
Cluster analysis based on health status and health literacy identified three distinct elderly groups: the Health Knowledge-Practice Imbalance Group, for whom a health program was implemented involving home visits and monthly community chronic disease clinics; the Knowledge Without Action Group, for whom a health program was implemented involving weekly community physiotherapy combined with home environment modifications; and the Behavioral Health Risk Group, for whom a behavior modification program was implemented through elderly school activities and peer support groups. Evaluation over a seven-month period showed a trend towards increased quality of life scores, though not statistically significant (Mean diff. = 1.43; 95% CI: -0.67, 3.53). Community participation scores increased by 0.75 points (95% CI: 0.34, 1.16). Satisfaction levels, measured post-intervention, were high, with a mean score of 4.10 (sd. = 0.36).
While the study did not confirm a significant impact on quality of life, the satisfactory levels of community participation and overall satisfaction demonstrate the potential and importance of community-wide involvement. Further development is needed to achieve better outcomes in the future.
References
Mondea MT. The Overview of the Elderly Population. J Aging Neuro Psychol 2017;1:1-2. DOI:10.29011/JANP102.100002
Padeiro M, Santana P, Grant M. Global aging and health determinants in a changing world. In: Oliveira PJ, Malva JO, [editors]. Aging : from fundamental biology to societal impact. London ; San Diego, CA : Academic Press, an imprint of Elsevier, 2023.p:3-30. DOI:https://doi.org/10.1016/B978-0-12-823761-8.00021-5
Wu HW, Kumar P, Cao S. A global challenge for smart and healthy care homes for the elderly. Indoor and Built Environment 2022;31(7):1733-7. DOI:https://doi.org/10.1177/1420326X221103381
Grinin L, Grinin A, Korotayev A. Aging of the Global Population as an Integral Problem of the Future. Sociological Journal 2023;29(2):110-31. DOI:10.19181/socjour.2023.29.2.6
Grinin L, Grinin A, Korotayev A. Global Aging: An Integral Problem of the Future. How to Turn a Problem into a Development Driver?. In: Sadovnichy V, Akaev A, Ilyin I, Malkov S, Leonid Grinin, Andrey Korotayev, [editors]. Reconsidering the Limits to Growth: A Report to the Russian Association of the Club of Rome, 2023.p:117-35. DOI:https://doi.org/10.1007/978-3-031-34999-7_7
Tipayatikumporn UU, Jindachote P, Maneechai S, Potivichayanont K, Saengchan P, Nuangchalerm P. Factors influencing elderly coping with social challenges in Thailand's aging society. IJAAS 2024;11(12):42-7. DOI:10.21833/ijaas.2024.12.005
Promsiri T, Arunyik B, Keerativutisest V. Exploring determinants influencing the selection of geriatric nursing care services in Thailand Bangkok metropolitan area. Edelweiss Applied Science and Technology 2024;8(4):1887-900. DOI:https://doi.org/10.55214/25768484.v8i4.1562
Chayomchai A, Sriplang N, Khowjoy K, Petmee P, Sonthon P. A study to understand the current situation and develop the newly adjusted active aging model with empirical evidence among the Thai elderly. Humanities and Social Sciences Letters 2024;12(4):886-902. DOI:https://doi.org/10.18488/73.v12i4.3925
Kachappillil AJ. Health problems among Elderly -A community based survey in a rural area of Ernakulam district. IJNER 2021;9(3):325-7. DOI:10.52711/2454-2660.2021.00076
Paek SC, Zhang NJ. Unmet health-care needs among older adults living alone in Thailand. IJPS 2025;11(2):64-74. DOI:https://doi.org/10.36922/ijps.1218
Tontisirin N,Anantsuksomsri S, Laovakul D. Spatial-temporal distribution of debt and delinquency of the elderly in Thailand: Perspectives from the National Credit Bureau data. PloS One 2024;9(7):e0306626. DOI:10.1371/journal.pone.0306626
Chaithaweep C, Samai T, Muksikthong J, Thammachotiko PS. Assessment of state policy and legal framework related to enhancing the well-being of the elderly in Thailand. Social and Legal Studios 2024;7(3):66-74. DOI:10.32518/sals3.2024.66
Panthong R, Wongkanthiya T. Analysis of clustering and association using data mining technique for elderly health condition dataset. IJ-AI 2023;12(4):1774-83. DOI:http://doi.org/10.11591/ijai.v12.i4.pp1774-1783
Lin YZ, Borromeo AR, Lin MM, Bascos MJG. The concept analysis of medical and old-age care integration model: a transformative framework for delivering healthcare to an aging population. Discov Med 2024;1:136. DOI:https://doi.org/10.1007/s44337-024-00137-0
Ji W, Luo R, Sun Y, Yang M, Liu Y, Chen H, et.al. A networked intelligent elderly care model based on nursing robots to achieve healthy aging. Research (Wash D C) 2025;8:0592. DOI:10.34133/research.0592
Zhu L. Exploring the Development Model of Senior Care Industry and the Application of Smart Senior Care based on Multi-Country Practices. IJEH 2024;17(3):317-23. DOI:https://doi.org/10.54097/w7pjgb44
Fuadah F, Saragih BD, Harun I, Purnasari H, Sinaga H. The Influence of Health Education on Elderly Knowledge about Healthy Lifestyle Patterns at RW 08 Jayagiri Lembang Village. IJPBMS 2024;4(6):529-33. DOI:https://doi.org/10.47191/ijpbms/v4-i6-08
Qiu W, Joe H. Generation of Random Clusters with Specified Degree of Separation. Journal of Classification 2006;23(2):315-34. DOI:10.1007/s00357-006-0018-y
Chaudhry SI, McAvay G, Ning Y, Allore HG, Newman AB, Gill TM. Geriatric Impairments and Disability: The Cardiovascular Health Study. J Am Geriatr Soc 2010;58(9):1686-92. DOI:10.1111/j.1532-5415.2010.03022.x
World Health Organization. Integrated care for older people : guidelines on community-level interventions to manage declines in intrinsic capacity. Geneva : World Health Organization, 2017.
Wang S, Yan B. China’s elderly mutual aid model: an active ageing perspective. Quality in Ageing and Older Adults 2025;26(1):3-17. DOI:https://doi.org/10.1108/QAOA-08-2024-0051
Wilson T, Greenfield E. The aging network as a catalyst for community gerontology and applied research. Innov Aging 2023;7(Suppl 1):253. DOI:10.1093/geroni/igad104.0839
Downloads
Published
Versions
- 2025-06-27 (3)
- 2025-06-25 (2)
- 2025-06-06 (1)
Issue
Section
License
Copyright (c) 2025 Chaiyaphum Medical Journal

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.