Evaluating Ghanaian Family Carers' Perceptions on the Use of Healthcare Wearable Devices by Dementia Patients

Authors

  • Ebenezer Larnyo  Department of Health Policy and Management, Jiangsu University, School of Management, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China.
  • Baozhen Dai  Department of Health Policy and Management, Jiangsu University, School of Management, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China.
  • Benedicta Akey-Torku  Department of Health Policy and Management, Jiangsu University, School of Management, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China.
  • Jonathan Aseye Nutakor  Department of Health Policy and Management, Jiangsu University, School of Management, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China.
  • Ebenezer Ababio Tetteh  School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China.
  • Abigail Larnyo  Faculty of Applied Sciences, University of Ghana, Legon, Accra, Ghana.
  • Naa Morkor-Dzormo Mensah   School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province, China.

DOI:

https://doi.org//10.32628/IJSRSET2072117

Keywords:

Dementia, Family Carers, Ghana, Healthcare Wearable Devices, Proxy

Abstract

This study seeks to assess the perceptions and readiness of family carers of dementia patients in Ghana to recommend for use of healthcare wearable devices by dementia patients.

Using a structured questionnaire, this study sampled and analyzed the views of 355 family carers from thirteen administrative regions of Ghana. The different perceptions of family carers on the use of healthcare wearable devices based on questions adapted from the extended unified theory of acceptance and use of technology model, were assessed using Pearson’s correlation and multiple linear regression.

The results of the regression indicated that the model explained 75.4% of the variance of behavioral intention and was a significant predictor of family carers’ perception on the use of healthcare wearable devices by patients with dementia in Ghana. In terms of the individual contributions of family carers’ perceptions based on the extended Unified Theory of Acceptance and Use of Technology model’s indicators, all indicators contributed significantly to the model with p-values less than 0.05 except family carers’ perception on social influence and perception on resistance to change, which were not significant with p-values greater than 0.05.

Despite concerns of insufficient disposable income of carers, and existence of inherent issues relating to safety, privacy and security of patients data in their quest to use healthcare wearable devices, our findings suggest that family carers in Ghana are willing and ready to recommend for use of healthcare wearable devices by dementia patients, which may consequently enhance their well-being and help satisfy their desire to live independently.

References

  1. United Nations. Global Issues Overview-Ageing. 2019 [cited 2019 September, 20]; Available from: https://www.un.org/en/sections/issues-depth/ageing/index.html.
  2. WHO. Dementia. 2017 [cited 2018 December 19,]; Available from: https://www.who.int/en/news-room/fact-sheets/detail/dementia.
  3. Anderson, P., World Alzheimer's Report 2015: Global Impact of Dementia. 2017.
  4. Guerchet, M., et al. Dementia in sub-Saharan Africa, Challenges and opportunities. 2017 [cited 2019 April, 4]; Available from: https://www.alz.co.uk/research/dementia-in-africa.
  5. Dai, B., et al., Factors Affecting Caregivers’ Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model. American Journal of Alzheimers Disease and Other Dementias, 2019. 35: p. 1-11.
  6. Larnyo, E., et al., Impact of Technological Innovation Management on Health Care Service Delivery: A Systematic Review. Journal of Information Engineering and Applications, 2018. 8(9).
  7. Andersson, P. and L.-G. Mattsson, Service innovations enabled by the “internet of things”. IMP Journal, 2015. 9(1): p. 85-106.
  8. Atzori, L., A. Iera, and G. Morabito, The internet of things: A survey. Computer networks, 2010. 54(15): p. 2787-2805.
  9. AutumnUKAdmin. Innovation and Technology for Dementia Care. 2018 [cited 2019 September, 20]; Available from: https://uk.autumn.care/wearable-devices/.
  10. Venkatesh, V., et al., User acceptance of information technology: Toward a unified view. MIS quarterly, 2003: p. 425-478.
  11. Boontarig, W., et al. Factors influencing the Thai elderly intention to use smartphone for e-Health services. in Humanities, Science and Engineering Research (SHUSER), 2012 IEEE Symposium on. 2012. IEEE.
  12. Sun, Y., et al., Understanding the acceptance of mobile health services: a comparison and integration of alternative models. Journal of Electronic Commerce Research, 2013. 14(2): p. 183.
  13. Kraut, R.E., et al., Varieties of social influence: The role of utility and norms in the success of a new communication medium. Organization Science, 1998. 9(4): p. 437-453.
  14. Rice, R.E., et al., Individual and network influences on the adoption and perceived outcomes of electronic messaging. Social networks, 1990. 12(1): p. 27-55.
  15. Yuan, Y., et al., Individual participation in organizational information commons. Human Communication Research, 2005. 31(2): p. 212-240.
  16. Deng, Z., X. Mo, and S. Liu, Comparison of the middle-aged and older users’ adoption of mobile health services in China. International journal of medical informatics, 2014. 83(3): p. 210-224.
  17. Sheppard, B.H., J. Hartwick, and P.R. Warshaw, The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of consumer research, 1988. 15(3): p. 325-343.
  18. Venkatesh, V. and F.D. Davis, A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 2000. 46(2): p. 186-204.
  19. Ajzen, I., The theory of planned behavior. Organizational behavior and human decision processes, 1991. 50(2): p. 179-211.
  20. Hoque, R. and G. Sorwar, Understanding factors influencing the adoption of mHealth by the elderly: an extension of the UTAUT model. International journal of medical informatics, 2017. 101: p. 75-84.
  21. Venkatesh, V., J.Y. Thong, and X. Xu, Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 2012: p. 157-178.
  22. Infurna, F.J., et al., Linking concurrent self-reports and retrospective proxy reports about the last year of life: A prevailing picture of life satisfaction decline. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 2013. 69(5): p. 695-709.
  23. Westfall, P. and K.S. Henning, Understanding advanced statistical methods. 2013: Chapman and Hall/CRC.
  24. Cohen, J., Set correlation and contingency tables. Applied Psychological Measurement, 1988. 12(4): p. 425-434.
  25. Woodberry, E., et al., The use of a wearable camera improves autobiographical memory in patients with Alzheimer's disease. Memory, 2015. 23(3): p. 340-349.
  26. Baldwin, V.N., T. Powell, and L. Lorenc, Factors influencing the uptake of memory compensations: A qualitative analysis. Neuropsychological rehabilitation, 2011. 21(4): p. 484-501.
  27. Gold, M., et al., Digital technologies as biomarkers, clinical outcomes assessment, and recruitment tools in Alzheimer's disease clinical trials. Alzheimer's & Dementia: Translational Research & Clinical Interventions, 2018. 4: p. 234-242.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

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How to Cite

[1]
Ebenezer Larnyo, Baozhen Dai, Benedicta Akey-Torku, Jonathan Aseye Nutakor, Ebenezer Ababio Tetteh, Abigail Larnyo, Naa Morkor-Dzormo Mensah , " Evaluating Ghanaian Family Carers' Perceptions on the Use of Healthcare Wearable Devices by Dementia Patients, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 2, pp.612-627, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRSET2072117