A web-based decision support system to support occupational therapy services in promoting active ageing

Main Article Content

Supawadee Putthinoi
Hsiu-Yun Hsu
Li-Chieh Kuo
Napalai Chaimaha
Suchitporn Lersilp
Autchariya Punyakaew

Abstract

Background: Dealing with the consequences of Thailand’s ageing population is a significant challenge. The growing usage of Information and Communication Technology (ICT) has the potential to support healthy and active ageing.


Objective: This study aimed to develop a web-based Decision Support System (DSS) and evaluate its usability.


Materials and methods: Research and Development (R&D) was a study design. It was divided into two phases: the development of the web-based DSS and its usability.


Results: The web-based DSS was designed under the requirements of the users and comprised seven components: 1) the login page; 2) the main page; 3) the register page; 4) active ageing measurement; 5) decision-making for older people; 6) the Occupational Therapy (OT) recommendations system; and 7) exporting information. A System Usability Score (SUS) of 80.41 in the usability test showed that the web-based DSS was very user-friendly and had excellent efficacy, efficiency, and satisfaction.


Conclusion: The web-based DSS effectively enhanced ageing for older people.

Article Details

How to Cite
Putthinoi, S. ., Hsu, H.-Y. ., Kuo, L.-C. ., Chaimaha, N. ., Lersilp, S. ., & Punyakaew, A. (2024). A web-based decision support system to support occupational therapy services in promoting active ageing. Journal of Associated Medical Sciences, 58(1), 39–50. Retrieved from https://he01.tci-thaijo.org/index.php/bulletinAMS/article/view/271279
Section
Research Articles

References

World Health Organization. Active ageing: a policy framework. Geneva, Switzerland: World Health Organization; 2002.

Foundation of Thai Gerontology Research and Development Institute. The situation of the Thai older people reports. Bangkok: TGRD; 2021.

National Statistical Office of Thailand. Active ageing index of Thai elderly. Bangkok: Text and general publication; 2017.

De Coninck L, et al. Promoting meaningful activities by occupational therapy in older people care in Belgium: the ProMOTE intervention. BMC Geriatr [Internet]. 2024; 275. Available from: https://doi. org/ 10.1186/s12877-024-04797-6.

Atwal A, Mclntyre A. Occupational therapy and older people. 2nd Ed. Oxford, UK: Blackwell; 2005.

Berger S, Escher A, Mengle E, Sullivan N. Effectiveness of health promotion, management, and maintenance interventions within the scope of occupational therapy for community-dwelling older adults: a systematic review. Am J Occup Ther. 2018 Jul/Aug; 72(4): 7204190010p1-7204190010p10. doi:10.5014/ ajot.2018.030346. PMID: 29953825.

Naidoo D, Govender P, Stead M, Mohangi U, Zulu F, Mbele M. Occupational therapy students’ use of social media for professional practice. Afr J Health Prof Educ. 2018; 10(2): 101-5.

Liu L. Occupational therapy in the fourth industrial revolution. Can J Occup Ther. 2018; 85(4): 272-85.

Díaz D, Yee N, Daum C, Stroulia E, Liu L. Activity classification in independent living environment with JINS MEME eyewear. Proceedings of 2018 IEEE International Conference on Pervasive Computing and Communications, Athens. 2018: 1-9. doi: 10.110 9/PERCOM.2018.8444580.

Lersilp S, Putthinoi S, Lerttrakarnnon P, Silsupadol P. Development and usability testing of an emergency alert device for older people and people with disabilities. Sci World J. 2020: 1-7. doi.org/ 10.1155/ 2020/ 510 2849.

Yeh Y, Hou. T, Chang W. An intelligent model for the classification of children’s occupational therapy problems. Expert Syst Appl. 2012; 39(5): 5233-42.

Hayes L. How technology usage is altering the Field of occupational therapy. Honors Projects, Grand Valley State University; 2012

Jao CS, Hier DB. Clinical decision support systems: an effective pathway to reduce medical errors and improve patient safety. In: Jao CS, editors. Decision Support Systems. London: InTech Europe; 2010.

Law M, Dunbar B., Person-Environment-Occupation Model, In Dunbar, B.D. (Ed), Occupational model for intervention with children and families (pp. 27-49). New Jersey: SLACK; 2007.

Law M, Cooper B, Strong S, Stewart D, Rigby P, Letts L. The Person-Environment-Occupation model: a transactive approach to occupational performance. Can J Occup Ther. 1996; 63(1): 9-12.

Clemson LM, Laver KE. Active ageing and occupational therapy align. Aust Occup Ther J. 2014; 61(3): 204-7.

Grantner JL, Gottipati R, Pernalete N, Fodor GA. Edwards S. Eye-hand coordination assessment/ therapy, using a robotic haptic device. Proceedings of the IEEE 9th International Conference on Rehabilitation Robotics, Chicago. 2005: 25-28. doi: 10.1109/ICORR.2005.1501043.

Bendel J. (2006). Decision support system for evaluating accessibility of facilities. Isr Med J. 2006; 5(3): 1-17.

Danial-Saad A, Kuflik T, Weiss PL, Schreuer N. Effectiveness of a clinical decision support system for pointing device prescription. Am J Occup Ther. 2015; 69(2): 1-7.

Danial-Saad A, Kuflik T, Weiss PL, Schreuer N. Usability of clinical decision support system as a facilitator for learning the assistive technology adaptation process. Disabil Rehabil: Assist Technol. 2016; 11(3): 188-94.

Hosack B, Hall D, Paradice D, Courtney J. A look toward the future: decision support systems research is alive and well. J Assoc Inf Syst. 2012; 13(5): 315-40.

Chi C, Tseng L, Jang Y. Pruning a decision tree for selecting computer-related assistive devices for people with disabilities. IEEE Trans Neural Syst Rehabil Eng. 2012;20(4): 564-73.

Hwang JE. Promoting healthy lifestyles with ageing: Development and validation of the health enhancement lifestyle profile (HELP) using the Rasch measurement model. Am J Occup Ther. 2010; 64: 786-95.

Johansson A, Björklund A. The impact of occupational therapy and lifestyle interventions on older persons’ health, well-being, and occupational adaptation. Scand J Occup Ther. 2016; 23(3): 207-19. doi:10.31 09/110 38128.2015.1093544.

Kretizberg CB. Report of the LUCID framework: An introduction [Internet]. 2008 [cited 2023 April 20]. Available from: http://courses.cs.vt.edu/~cs3724/ spring99/notes/lucid-0.pdf.

Nielsen J. How many test users in a usability study? [Internet]. 2012 [cited 2023 April 20]. Available from: https://www.nngroup.com/ articles/how-many-testusers/.

National Institute on Ageing. Why population ageing matters: A global perspective [Internet]. 2007 [cited 2024 August 13]. Available from https://www.nia. nih.gov/sites/default/files/2017-06/ WPAM.pdf.

Punyakaew A, Hsu HY, Lersilp S, Putthinoi S. Development and psychometric properties of a questionnaire to measure the active ageing index for older people. J Assoc Med Sci. 2023 Jan 1;56(1):150-8.

. Saengprachaksakula S. The Determinants of Thai Active Ageing Level. JSHRA. 2014; 21(1): 139-67.

. United Nations Development Programme (UNDP). Human development report 2005: International cooperation at a crossroads – aid, trade and security in an unequal world. New York, NY, USA: United Nations Development Programme; 2005.

Yodphet S. Active ageing attribution: A case study of elite Thai elderly (master’s thesis). http://cuir.car. chula.ac.th/bitstream/123456789/1970/3/Parich at.pdf. [In Thai]; 2004.

Chantavanich S. Data analysis for qualitative research. Bangkok: Chulalongkorn University. [In Thai]; 2003.

Pothisita C. Data analysis for qualitative research. In C. Pothisita (Eds), Qualitative Research (pp. 360-361). Bangkok: Amarin. [In Thai]; 2006.

Alroobaea R, Mayhew PJ. How many participants are really enough for usability studies. 2014 Science and Information Conference; 2014 August 27-29, London, UK; 2014. [

Brooke J. SUS: a quick and dirty usability scale. In Jordan P.W, Thomas BC, Weerdmeester BA, Mc Clelland AL. Editor. Usability evaluation in industry (pp. 189-94). London: Taylor and Francis; 1996.

Bangor A, Kortum PT, Miller JT. An empirical evaluation of the system usability scale. Int J Hum Comput Stud. 2008; 24(6): 574-94.

American Occupational Therapy Association. Report of occupational therapy’s role with health promotion (AOTA Fact Sheet) [Internet]. 2014 [cited 2023 April 20]. Available from: https://www.aota.Org/~/media/ Corporate/Files/AboutOT/Professionals/WhatIsOT/ HW/Facts/FactSheet_HealthPromotion.pdf.

Coppola S. Occupation-centered practice with older adults with mental health conditions. World Fed Occup Ther Bull. 2011; 63(1): 5-8.

Zaalen Y, McDonnell M, Mikołajczyk B, Buttigieg S, Requena MC, Holtkamp F. Technology implementation in delivery of healthcare to older people: How can the least voiced in society be heard? [Internet]. J Enabling Technol. 2018; 12(2): 90. Available from: https://doi.org/10.1108/JET-10-2017-0041.

Dorr D, Bonner LM, Cohen AN, Shoai RS, Perrin R, Chaney E, Young AS. Informatics systems to promote improved care for chronic illness: a literature review. J Am Med Inform Assoc. 2007 Mar-Apr; 14(2): 156- 63. doi: 10.1197/jamia.M2255.

Oz E. Management information systems. 5th Ed. Canada: Thomson Course Technology; 2006.

Kong D, Wang Y, Sun K. Design of care decision support system based on home-based behavior of elderly: a design science study [Internet]. SAGE Open 2022; 12(1). Available from: https://doi.org/ 10.1177/215824 02210 86606.

Orte S, et al. Dynamic decision support system for personalized coaching to support active ageing. Artificial Intelligence for Ambient Assisted Living; 2018 November 20-23; Trento, Italy; 2018.

Iam-siriwong O. Chueniam S. Management information system. Bangkok: SE-education; 2015.

Gunawardhana L. Process of requirement analysis link to software development. J Softw Eng.2019; 12(10): 406-22. doi: 10.4236/jsea.2019.1210025.

Segal T. Decision support system-DSS [Internet]. 2019 [cited 2023 April 20]. Available from: https:// www. investo pedia.com/ terms/d/decision-supportsystem.asp.

Wagner-Hartl V, Schmidtke B, Herbst T, Rudisile J, Mix L. Development of mHealth-Apps for Hearing Aids – Requirements and Assessments of a First Prototype. In: Stephanidis C, Antona M, Ntoa S, Salvendy G, editors. HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science. Springer: Cham; 2022. P 1654. https://doi.org/10. 1007/ 978-3-031-19679- 9_59.

Liu L, et al. Design and Fabrication of Paper-Based Electronic Interfaces for the Water Environment [Internet]. Electronics. 2021; 10(5): 604. Availablefrom: https://doi.org/10.3390/electronics100506 04.

Meyer B. Seven principles of software testing. IEEE Computer. 2008; 41(10): 99-101.

Palumbo F, et al. “Hi This Is, NESTORE, Your Personal Assistant”: design of an integrated IoT system for a personalized coach for healthy ageing. Front Digit Health. 2020; 2. doi:10.3389 /fdgth.2020. 545949.

Tokgöz P, Hafner J. Dockweiler C. Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: A systematic review. BMC Med Inform Decis Mak. 2023; 23(27). Available from: https://doi.org/10.1186/s12911- 023-02124-4.

Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Leigh S, Hunt S. System usability scale benchmarking for digital health apps: meta-analysis. JMIR Mhealth Uhealth. 2022 Aug 18; 10(8): e37290. doi: 10.2196/37290.

Baber C, Haniff DJ, Woolley SI. Contrasting paradigms for the development of wearable computers. IBM Syst J. 1999; 38: 551-65.

Dillon A. Beyond usability: process, outcome and affect in human computer interactions. Can J Libr Infor Sci. 2002; 26: 57-69.