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A Study on the Demand and the Influencing Factors of Smart Healthcare Services for the Elderly in Harbin: Based on The Anderson Health Behaviour Model

Published: 09 December 2022 Publication History

Abstract

With the increasingly diverse needs of the elderly for elderly care services in the new era and the continuous deepening of informatization construction in the field of elderly care, smart healthcare, as an important component of smart elderly care, is being built in full swing. Based on the data from 317 valid questionnaires of elderly citizens over the age of 60 in the five main urban areas of Harbin, taking Andersen's Behavioral Model as the theoretical framework, this paper discusses the factors that affect the use of smart healthcare by the elderly, including propensity factors, enabling factors, and demand factors. The analysis results show that propensity factors (residence mode, understanding of smart elderly care), enabling factors (monthly income), and demand factors (health condition, loneliness) have different degrees of influence on the elderly's demand for smart healthcare. Relevant government departments should continue to promote smart healthcare, such as increasing the publicity of smart elderly care, focusing on the needs of low-income elderly living alone for smart healthcare and improving the awareness of disease prevention among the elderly.

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  • (2023)Talking ‘bout my Generation … or not?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3582742(1-9)Online publication date: 19-Apr-2023
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cover image ACM Other conferences
ISAIMS '22: Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences
October 2022
594 pages
ISBN:9781450398442
DOI:10.1145/3570773
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 December 2022

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Author Tags

  1. Anderson model
  2. Demand and influencing factors
  3. Internet accelerated speed
  4. Smart healthcare services

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ISAIMS 2022

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Overall Acceptance Rate 53 of 112 submissions, 47%

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  • (2023)Talking ‘bout my Generation … or not?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3582742(1-9)Online publication date: 19-Apr-2023

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