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Intention to Seek Mental Health Services During the 2022 Shanghai COVID-19 City-Wide Lockdown: Web-Based Cross-Sectional Study

Intention to Seek Mental Health Services During the 2022 Shanghai COVID-19 City-Wide Lockdown: Web-Based Cross-Sectional Study

Mental health service use intention by service or provider types (N=3230, with any intent n=914). Percentage reflects the percentage among all qualified respondents. Among those who met screening eligibility for depression or anxiety, only 41.2% (n=454) indicated an intention to use any mental health services, and 33% (n=360) indicated an intention to use digital mental health services. A small portion of the respondents (n=440, 10.9%) reported that they had used digital mental health services.

Lingzi Luo, Gen Li, Weiming Tang, Dan Wu, Brian Hall

JMIR Form Res 2024;8:e51470

Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis

Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis

Therefore, this study captured users’ trust in Chat GPT and explored its impact on user intent to use the technology. Additionally, it explored its direct and indirect effects on the actual use of Chat GPT. As illustrated in Figure 1, we explored the following 4 hypotheses: H1: User’s intent to use Chat GPT increases with their trust in the technology. H2: The actual use of Chat GPT increases with users’ intent to use the technology. H3: The actual use of Chat GPT increases with users’ trust in the technology.

Avishek Choudhury, Hamid Shamszare

J Med Internet Res 2023;25:e47184

Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study

Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study

This absence positions AI as a tool rather than an active participant with intent. Consequently, questions arise about the responsibility and accountability for AI-driven decisions, creating patient concerns about the security and reliability of relying on AI [19].

Bijun Wang, Onur Asan, Mo Mansouri

JMIR Hum Factors 2023;10:e49788

Impact of a Nationwide Medication History Sharing Program on the Care Process and End-User Experience in a Tertiary Teaching Hospital: Cohort Study and Cross-Sectional Study

Impact of a Nationwide Medication History Sharing Program on the Care Process and End-User Experience in a Tertiary Teaching Hospital: Cohort Study and Cross-Sectional Study

Consequently, the influence of “information quality” in “user satisfaction” and the influence of “user satisfaction” in “intent to reuse” were significantly associated. This study aimed to evaluate the impact of medication history retrieval using the “Patient’s In-home Medications at a Glance” program in homegrown HISs during the 2-year maintenance phase after program implementation. The significance of our findings was twofold.

Jungwon Cho, Sooyoung Yoo, Eunkyung Euni Lee, Ho-Young Lee

JMIR Med Inform 2024;12:e53079

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study

Among these, Davis’s TAM is significant and effective at predicting users’ intent to use [38]. To increase understanding of the factors affecting behavioral intention, different scholars have modified the original TAM [39-45].

Kefyalew Naniye Tilahun, Jibril Bashir Adem, Wabi Temesgen Atinafu, Agmasie Damtew Walle, Nebyu Demeke Mengestie, Abraham Yeneneh Birhanu

Online J Public Health Inform 2024;16:e51601

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