Journal of Medical Internet Research

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Trust in Health Information Sources: Survey Analysis of Variation by Sociodemographic and Tobacco Use Status in Oklahoma

Trust is a key element of message receptivity and, in medical settings, trust has been associated with increased health self-efficacy, treatment adherence, and ultimately more positive overall health outcomes [7,11]. However, trust in a specific source may vary based on factors such as prior experience with the source, sociodemographic background, or health behaviors (eg, tobacco use status) [7].

Cati G G Brown-Johnson, Lindsay M Boeckman, Ashley H White, Andrea D Burbank, Sjonna Paulson, Laura A Beebe

JMIR Public Health Surveill 2018;4(1):e8

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Parents’ User Experience Accessing and Using a Web-Based Map of COVID-19 Recommendations for Health Decision-Making: Qualitative Descriptive Study

In particular, when information is aesthetically pleasing, easy to find and navigate, this can contribute to increased user trust, readability, and facilitation of understanding [37]. Other research has found that simple aesthetics [29], clearly described headings and labels, information that is logically organized [38], limited technological barriers [32], and being usable in stressful situations [29] are equally preferred by parents.

Samantha Cyrkot, Lisa Hartling, Shannon D Scott, Sarah A Elliott

JMIR Form Res 2024;8:e53593

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The Role of Trust as a Driver of Private-Provider Participation in Disease Surveillance: Cross-Sectional Survey From Nigeria

The scale for Citizen Trust in Government Organizations (CTGO), a validated 11-item scale of public perceptions toward government institutions, was adapted to capture Nigerian private practitioners’ trust in public health and disease surveillance systems [39].

Ellen MH Mitchell, Olusola Adedeji Adejumo, Hussein Abdur-Razzaq, Chidubem Ogbudebe, Mustapha Gidado

JMIR Public Health Surveill 2024;10:e52191

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A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis

A central theme that recurred in many of the conference panels and presentations was the importance of trust and privacy when considering the use of data and AI in health care. Stemming from this theme were 2 important aspects: individual privacy and community trust. The first aspect concerns the privacy of patients whose data are being implemented in machine learning models.

Christian Rose, Rachel Barber, Carl Preiksaitis, Ireh Kim, Nikesh Mishra, Kristen Kayser, Italo Brown, Michael Gisondi

J Med Internet Res 2023;25:e49314

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Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy

First, existing studies support the importance of trust in driving the acceptance of CT apps, but the approach to measuring trust and the trust referent under examination varies. For example, studies have found that high trust in the national government, the health care system, and science positively impacted willingness to use CT apps in Switzerland [14]. A US-based study found that trust in COVID-19 information positively influenced citizens’ comfort with and acceptance of CT [8].

Grace Fox, Lisa van der Werff, Pierangelo Rosati, Theo Lynn

JMIR Mhealth Uhealth 2024;12:e48700

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Extending the Privacy Calculus to the mHealth Domain: Survey Study on the Intention to Use mHealth Apps in Germany

Although the direct or indirect influence of trust in the provider on the intention to use m Health technology has been examined in 2 studies [11,19], the individual’s interest in the object represented in the trusting relationship—here the protection of personal data—has not been considered [22]. If the user is not interested in the security of personal data, a relationship of trust concerning the use of data would be irrelevant.

Niklas von Kalckreuth, Markus A Feufel

JMIR Hum Factors 2023;10:e45503

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The Influence of Anthropomorphic Cues on Patients’ Perceived Anthropomorphism, Social Presence, Trust Building, and Acceptance of Health Care Conversational Agents: Within-Subject Web-Based Experiment

RQ 2: How do the participants’ perceived anthropomorphism and social presence impact their trust building, that is, trust and privacy concerns, toward CAs? RQ 3: How do the participants’ trust building predict their acceptance of CAs, including their satisfaction, intention to disclose information, and intention to continuously use the CAs?

Qingchuan Li, Yan Luximon, Jiaxin Zhang

J Med Internet Res 2023;25:e44479

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Use of the Hashtag #DataSavesLives on Twitter: Exploratory and Thematic Analysis

Public trust and support are needed for big data projects to continue [16]. However, there remains little public understanding of big data research [14]. “Data Saves Lives” is a public engagement campaign that highlights the benefits of big data research, showing how patient data can be used securely to improve health care [17]. The campaign tries to build trust between researchers and the public. It was started by the University of Manchester's Health e Research Centre in 2014.

Piotr Teodorowski, Sarah E Rodgers, Kate Fleming, Lucy Frith

J Med Internet Res 2022;24(11):e38232

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User Requirements for Comanaged Digital Health and Care: Review

The authors also argued for a balance between a health care system’s need for controlled, governed, and secure record systems and a person’s need for agency, trust, choice, and the ability to connect their data across agencies, informal care circles, and communities.

Chaloner Chute, Tara French, Sneha Raman, Jay Bradley

J Med Internet Res 2022;24(6):e35337

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Modeling Trust in COVID-19 Contact-Tracing Apps Using the Human-Computer Trust Scale: Online Survey Study

The adopted theoretical model, the HCTS [20], illustrates the multidimensional nature of trust, taking into account several attributes of trust, as shown in Figure 1. This model was validated with statistical modeling techniques.

Sonia Sousa, Tiina Kalju

JMIR Hum Factors 2022;9(2):e33951

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