Prioritizing and Overcoming Barriers to e-Health Use among Elderly People: Implementation of the Analytical Hierarchical Process (AHP)

Ayesha Mumtaz

16 citations0/0 files storedJournal of Healthcare Engineering

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Technology Use by Older Adults Telemedicine and Telehealth Implementation Health, Technology, Consumer Behavior

Abstract

Rise in the aging population brings new challenges to modern societies. Old age is associated with several morbidities and usual issues related to health. Therefore, the provision of healthy and timely care has become the dire need to maintain their quality of life and wellbeing. The evolution of the e-health care system put pressure on societies to implement it successfully to ensure a safe and prompt provision of care services to the most vulnerable population successfully. Therefore, the provision and implementation of the e-health care system is a challenge for the health industry in terms of multi-objective decision-making. Multicriteria decision-making is a generalizable approach to making decisions with dependence and feedback and is known as an effective tool in decision-making processes, particularly in the healthcare sector. The present study aims to present an e-healthcare framework by identifying and prioritizing potential barriers towards the use of e-health by the elderly population. The analytical hierarchy process approach is adopted to calculate weights of identified potential barriers, respectively, and then rank them based on their degree of significance. The findings show that health and the ability-related barrier is ranked highest, followed by socio-environmental and attitudinal barriers. This research contributes to healthcare decision-making regarding e-health usage by implementing MCDA techniques. Our study will assist the public health practitioners and policymakers in drawing decisions on the best strategy to minimize the risks in using the e-healthcare system by the aging population, which significantly contributes to the smart healthcare system.

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References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2015Older Adults' Reasons for Using Technology while Aging in Place 2008Decision making with the analytic hierarchy process 2006Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement (create).2020A review of fuzzy AHP methods for decision-making with subjective judgements 2020The COVID-19 pandemic: The ‘black swan’ for mental health care and a turning point for e-health

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2024Environmental and contextual factors influencing e-health use among older adults: A rapid review

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