Factors influencing user acceptance of weight management apps among Chinese obese individuals during the COVID-19 pandemic

This study aimed to assess the level of knowledge regarding influenza viruses and vaccines among different professional groups to investigate the reasons for vaccine hesitancy. We collected 2190 questionnaires regarding influenza vaccines in China in 2022. The respondents were categorized into the general population (GP), foreign affairs workforce population (FAWP), and veterinary workforce population (VWP) according to their job positions. Linear regression was used to assess the association between multiple factors and influenza vaccination rates. The association between work and influenza vaccination rates was also assessed by grouping different workforce populations. The vaccination rate of the GP was higher than that of the VWP (odds ratio: 1.342, 95% confidence interval: 1.025–1.853), surpassing the rates reported in previous studies. This may be attributed to heightened concerns about infectious diseases influenced by the ongoing coronavirus disease 2019 pandemic. Despite the VWP’s more in-depth knowledge of the VWP on zoonotic diseases and their recognition of their importance, there was no significant difference in influenza knowledge among the three populations. This discrepancy contrasts with the observed differences in vaccination rates. Further investigation revealed that, compared with FAWP, the price of vaccines emerged as a primary influencing factor for vaccination rates (odds ratio:0.398, 95%CI; 0.280–0.564). General concerns regarding the protective effects and side effects of vaccines were also noted.

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Factors influencing Chinese doctors to use medical large language models

Qu,

Liu,

Zhou

et al. 2024

DIGITAL HEALTH

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Objective The integration of medical large language models (MLLMs) into healthcare has garnered global interest, however, the determinants of their adoption by medical professionals remain underexplored. This study aims to elucidate the factors influencing doctors’ intention to utilize MLLMs, encompassing both psychological determinants and demographic attributes. Methods An extended theoretical model was developed using constructs derived from the Technology Acceptance Model (TAM) and five constructs. A hybrid online and offline survey was conducted from March to December 2023, including 955 Chinese medical practitioners. Structural equation modeling was utilized to test the research hypotheses. Results The measurement model exhibited satisfactory reliability and validity, with fit indices meeting scholarly standards. Perceived ease of use emerged as a significant predictor of both perceived usefulness and satisfaction. Content quality was identified as a substantial influence on perceived satisfaction but did not significantly predict perceived usefulness. Technical support and social influence were found to significantly affect perceived usefulness without directly impacting satisfaction. Perceived usefulness positively influenced both satisfaction and usage behavior, while perceived risk had a negative effect. A significant relationship between perceived satisfaction and usage behavior was established, with gender, age, education, and professional title moderating this relationship. Conclusions The study provides empirical evidence for understanding the adoption of MLLMs by Chinese doctors, offering management implications for future technical research, development, and implementation in the medical field.

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Factors influencing user acceptance of weight management apps among Chinese obese individuals during the COVID-19 pandemic

Cited by 3 publications

References 37 publications

The intersection of big data and healthcare innovation: millennial perspectives on precision medicine technology

The intersection of big data and healthcare innovation: millennial perspectives on precision medicine technology

A cross-sectional study on the understanding and attitudes toward influenza and influenza vaccines among different occupational groups in China

Factors influencing Chinese doctors to use medical large language models

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