Middle-aged and elderly users’ continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China

Lin, Xu; Li, Pengfei; Hou, Xiaorong; Yu, Hongfan; Tang, Tian; Liu, Ting; Xiang, Shoushu; Wu, Xiaoqian; Huang, Cheng

doi:10.1186/s12911-021-01625-4

Cited by 12 publications

(7 citation statements)

References 65 publications

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“…Consistent with previous research ( 19 , 49 – 52 ), this study demonstrated that the public’s performance expectancy, social influence, hedonic motivation, and habit perception directly and positively influence women’s continued intention to use women’s health WeChat public accounts. This suggests that the UTAUT2 model exhibits consistency in explaining the influencing factors of user’s continued intention to use health WeChat public accounts targeting different audiences and content.…”

Section: Discussionsupporting

confidence: 89%

“…(1) UTAUT2: Adapted from the original scale by Venkatesh et al ( 14 ) and previous studies ( 19 , 41 , 42 ), this section measured the public’s intention to sustain the use of women’s health WeChat official accounts. It consisted of 7 dimensions with 25 items: behavioral intention (3 items), performance expectancy (3 items), effort expectancy (4 items), social influence (4 items), facilitating conditions (3 items), hedonic motivation (3 items), and habit (4 items).…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, the UTAUT2 model has been increasingly applied to the study of usage behavior in mobile health technology, such as physiological indicators, mobile monitoring technology ( 17 ), and healthcare wearable technology ( 18 ). Furthermore, Lin et al, building upon UTAUT2, added perceived health threat, showing that the older adults’ sustained intentions to use maintenance-oriented WeChat official accounts are influenced by performance expectancy, hedonic motivation, social influence, and threat assessment ( 19 ). Therefore, this study utilized the UTAUT2 model to explore the technology-perceived factors of women’s health public accounts’ persistent usage intentions.…”

Section: Introductionmentioning

confidence: 99%

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Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

Min,

Li,

et al. 2024

Front. Public Health

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BackgroundWomen’s health WeChat public accounts play a crucial role in enhancing health literacy and fostering the development of healthy behaviors among women by disseminating women’s health knowledge. Improving users’ continuous usage behavior and retention rates for the women’s health WeChat public account is vital for influencing the overall effectiveness of health communication on WeChat.ObjectiveThis study aimed to construct a comprehensive model, delving into the key factors influencing women’s continuance intention of the women’s health public accounts from the perspectives of perceived health threats, individual abilities, and technological perceptions. The goal is to provide valuable insights for enhancing user stickiness and the effectiveness of health communication on WeChat public accounts.MethodAn online survey was conducted among women receiving gynecological care at a certain hospital to gage their willingness for sustained use of the women’s health WeChat public accounts. Through structural equation modeling, the study investigated the influencing factors on women’s sustained intention to use the women’s health WeChat public accounts.ResultsThe study included a total of 853 adult women. Among them, 241 (28.3%) women had followed women’s health official accounts in the past but do not currently follow them, 240 (28.1%) women had followed women’s health official accounts in the past and are still following them, and 372 (43.6%) women had never followed women’s health official accounts. Currently, 240 women are still browsing women’s health public accounts, 52 of whom read women’s health public accounts every day, and most of them read women’s health public accounts for 10–20 min at a time (100, 11.7%). The results of the structural equation model revealed that performance expectancy, social influence, hedonic motivation, habit, and e-health literacy had significantly positive effects on women’s sustained intention to use public accounts (performance expectancy: β = 0.341, p < 0.001; social influence: β = 0.087, p = 0.047; hedonic motivation: β = 0.119, p = 0.048; habit: β = 0.102, p < 0.001; e-health literacy: β = 0.158, p < 0.001). E-health literacy and self-efficacy indirectly influence sustained intention by affecting performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit. The effect sizes of e-health literacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.244 (p < 0.001), 0.316 (p < 0.001), 0.188 (p < 0.001), 0.226(p < 0.001), 0.154 (p < 0.001), and 0.073 (p = 0.046). The effect sizes of self-efficacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.502 (p < 0.001), 0.559 (p < 0.001), 0.454 (p < 0.001), 0.662 (p < 0.001), 0.707 (p < 0.001), and 0.682 (p < 0.001). Additionally, perceived severity and perceived susceptibility indirectly affected sustained intention by influencing performance expectancy and social influence. The effect sizes of perceived severity on performance expectancy and social influence were 0.223 (p < 0.001) and 0.146 (p < 0.001). The effect size of perceived susceptibility to social influence was 0.069 (p = 0.042).ConclusionUsers’ e-health literacy, self-efficacy, perception of disease threat, and users’ technological perceptions of the WeChat public accounts are critical factors influencing women’s continuance intention of using the WeChat public accounts. Therefore, for female users, attention should be given to improving user experience and enhancing the professionalism and credibility of health information in public account design and promotion. Simultaneously, efforts should be made to strengthen users’ health awareness and cultivate e-health literacy, ultimately promoting sustained attention and usage behavior among women toward health-focused public accounts.

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Section: Discussionsupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

Min,

Li,

et al. 2024

Front. Public Health

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“…This is because daily internet use has become a normal part of life for middle-aged and elderly individuals. They use the internet for various purposes, such as seeking health information [ 73 ], chatting, watching the news, and making mobile payments [ 74 ]. All of these activities help them integrate into digital life without experiencing the negative effects of addiction.…”

Section: Discussionmentioning

confidence: 99%

Multidimensional Internet Use, Social Participation, and Depression Among Middle-Aged and Elderly Chinese Individuals: Nationwide Cross-Sectional Study

Du¹,

Liao²,

Ye³

et al. 2023

J Med Internet Res

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Background There is growing evidence that the internet has beneficial effects on the mental health of middle-aged and older people (≥45 years), but the evidence is inconclusive, and the underlying mechanisms are less known. Objective This study aims to explore the relationship between multidimensional (devices, frequency, and purpose) internet use and depression in middle-aged and elderly Chinese, as well as the mediating effect of social participation. Moreover, this study will explore the moderating effect of the regional informatization development level (RIDL) on the relationships between individual internet use, social participation, and depression. Methods Data on 17,676 participants aged 45 years or older were obtained from the China Health and Retirement Longitudinal Study (CHARLS) 2018 data set. The 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10) was used to identify the presence of depression. Logistic regression was used to explore the relationship between each dimension of internet use and depression. Multiple linear regression was used to explore the mediating effect of social participation and the moderating effect of the RIDL. Results The results showed that 28.33% (5008/17,676) of the total population had depression. In terms of regional subgroups, respondents living in the western region exhibited the highest proportion of depression (2041/5884, 34.69%). Internet use was negatively associated with depression (odds ratio 0.613, 95% CI 0.542-0.692; P<.001). Various dimensions of internet use positively contributed to individual social participation and reduced individual depression (devices: β=–.170, 95% CI –0.209 to –0.127; frequency: β=–.065, 95% CI –0.081 to –0.047; and purpose: β=–.043, 95% CI –0.053 to –0.031). In addition, the RIDL weakened the relationship between individual-level internet use and social participation (internet use: F74.12,9.82=7.55, P<.001; devices: F51.65/9.88=5.23, P=.005; frequency: F66.74/10.08=6.62, P=.001; and purpose: F66.52/9.78=6.80, P=.001), and negatively moderated the relationship between the frequency of internet use and depression (frequency: F662.67/188.79=3.51, P=.03). Conclusions This study found that different dimensions of internet use are associated with lower levels of depression. Social participation partially mediates the association between multidimensional internet use and depression in the eastern, central, and western regions, respectively. Additionally, the RIDL helps individuals further their internet use and social participation, reducing the impact of depression. However, this effect weakens sequentially from the western region to the central region and then to the eastern region.

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“…The constructs from the HBM have been applied to predict health-related Internet usage. 74 , 75 Among them, the perceived benefit is an important antecedent when deriving the usage intention regarding chatbots. 27 Moreover, self-efficacy, which is one's confidence in gaining positive outcomes through computer-mediated actions, has been confirmed to positively affect the usage intention in previous research.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of personalization and source expertise on users’ health beliefs and usage intention toward health chatbots: Evidence from an online experiment

Liu

Yan

et al. 2022

DIGITAL HEALTH

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Objective Based on the heuristic–systematic model (HSM) and health belief model (HBM), this study aims to investigate how personalization and source expertise in responses from a health chatbot influence users’ health belief-related factors (i.e. perceived benefits, self-efficacy and privacy concerns) as well as usage intention. Methods A 2 (personalization vs. non-personalization) × 2 (source expertise vs. non-source expertise) online between-subject experiment was designed. Participants were recruited in China between April and May 2021. Data from 260 valid observations were used for the data analysis. Results Source expertise moderated the effects of personalization on health belief factors. Perceived benefits and self-efficacy mediated the relationship between personalization and usage intention when the source expertise cue was presented. However, the privacy concerns were not influenced by personalization and source expertise and did not significantly affect usage intention toward the health chatbot. Discussion This study verified that in the health chatbot context, source expertise as a heuristic cue may be a necessary condition for effects of the systematic cue (i.e. personalization), which supports the HSM's arguments. By introducing the HBM in the chatbot experiment, this study is expected to provide new insights into the acceptance of healthcare AI consulting services.

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Middle-aged and elderly users’ continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China

Cited by 12 publications

References 65 publications

Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM

Multidimensional Internet Use, Social Participation, and Depression Among Middle-Aged and Elderly Chinese Individuals: Nationwide Cross-Sectional Study

Effects of personalization and source expertise on users’ health beliefs and usage intention toward health chatbots: Evidence from an online experiment

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