The Role of Transparency in Digital Contact Tracing During COVID-19: Insights from an Expert Survey.

Health technologies such as apps for digital contract tracing [DCT] played a crucial role in containing and combating infections during the COVID-19 pandemic. Their primary function was to prevent the spread of SARS-CoV-2 by consistently generating and disseminating information related to various events such as encounters, vaccinations or infections. While the functionality of DCT has been well researched, the necessity of transparency in the use of DCT and the consent to share sensitive information such as users' health, vaccination and location status remains unclear. On one hand, DCT enabled the continuous monitoring of various risk factors, including data-based calculations of infection probabilities. On the other hand, digital monitoring of health risks was closely associated with various uncertainties, such as the ambiguous storage of personal data and its potential future misuse, e.g., by tech companies or health authorities. Our contribution aims to retrospectively analyze the COVID-19 pandemic from a post-pandemic perspective and utilize it as a case study for the implementation of new technological measures. We argue that under the condition of voluntary use of DCT, transparency plays a key role in convincing individuals to install health technologies on their mobile devices, keep them activated and consent to the sharing of sensitive data. We support our argument with qualitative data from an expert survey conducted between 2020 and 2021 and analyzed according to the principles of Grounded Theory.

Intersectional Discrimination in Mental Health Care: A Systematic Review With Qualitative Evidence Synthesis.

OBJECTIVE: Discriminatory practices in mental health care undermine the right to health of marginalized service users. Intersectional approaches enable consideration of multiple forms of discrimination that occur simultaneously and remain invisible in single-axis analyses. The authors reviewed intersectionality-informed qualitative literature on discriminatory practices in mental health care to better understand the experiences of marginalized service users and their evaluation and navigation of mental health care. METHODS: The authors searched EBSCO, PubMed, MEDLINE, and JSTOR for studies published January 1, 1989-December 14, 2022. Qualitative and mixed-methods studies were eligible if they used an intersectional approach to examine discrimination (experiences, mechanisms, and coping strategies) in mental health care settings from the perspective of service users and providers. A qualitative evidence synthesis with thematic analysis was performed. RESULTS: Fifteen studies were included in the qualitative evidence synthesis. These studies represented the experiences of 383 service users and 114 providers. Most studies considered the intersections of mental illness with race, sexual and gender diversity, or both and were performed in the United States or Canada. Four themes were identified: the relevance of social identity in mental health care settings, knowledge-related concerns in mental health care, microaggressions in clinical practice, and service users' responses to discriminatory practices. CONCLUSIONS: Discriminatory practices in mental health care lead to specific barriers to care for multiply marginalized service users. Universities and hospitals may improve care by building competencies in recognizing and preventing discrimination through institutionalized training.

Epistemic appropriation and the ethics of engaging with trans community knowledge in the context of mental healthcare research.

Mental healthcare research increasingly focuses the needs of trans people and, in doing so, acknowledges knowledge and epistemic resources developed in trans communities. In this article, we aim to raise awareness of an ethical issue described by Emmalon Davis that may arise in the context of engaging with community knowledge and epistemic resources: the risk of epistemic appropriation. It is composed of two harms (1) a detachment of epistemic resources developed in the originating community and (2) a misdirection of these epistemic resources for epistemic goals of a dominant community. In this article, we map and discuss the ethical concerns in using knowledge originating in trans communities in terms of epistemic appropriation in the context of mental healthcare research. We first argue that misgendering, failing to reference non-academic sources and a lack of attribution in community authorship are forms of epistemic detachment. Second, we problematize cases of epistemic misdirection of trans epistemic resources, focusing on the examples of detransition and transition regret. We discuss harms related to epistemic appropriation in relationship to risks to safety. The article aims to raise awareness about the risk of epistemic appropriation both in researchers engaging with trans knowledge as well as in mental healthcare workers who seek information on trans.

Smartphone Apps for Containing the COVID-19 Pandemic in Germany: Qualitative Interview Study With Experts Based on Grounded Theory.

BACKGROUND: Smartphone apps, including those for digital contact tracing (DCT), played a crucial role in containing infections during the COVID-19 pandemic. Their primary function is to generate and disseminate information to disrupt transmissions based on various events, such as encounters, vaccinations, locations, or infections. Although the functionality of these apps has been extensively studied, there is still a lack of qualitative research addressing critical issues. OBJECTIVE: We will demonstrate that the use of DCT presents a challenge due to the tension between continuous health monitoring and uncertainties related to transparency and user sovereignty. On one hand, DCT enables the monitoring of various risk factors, including data-based calculations of infection probabilities. On the other hand, continuous risk management is intertwined with several uncertainties, including the unclear storage of personal data, who has access to it, and how it will be used in the future. METHODS: We focus on the German "Corona-Warn-App" and support our argument with empirical data from 19 expert interviews conducted between 2020 and 2021. The interviews were conducted using a semistructured questionnaire and analyzed according to the principles of grounded theory. RESULTS: Our data underscores 3 dimensions: transparency, data sovereignty, and the east-west divide. While transparency is considered an essential foundation for establishing trust in the use of DCT by providing a sense of security, data sovereignty is seen as a high value during the pandemic, protecting users from an undesired loss of control. The aspect of the east-west divide highlights the idea of incorporating sociocultural values and standards into technology, emphasizing that algorithms and data-driven elements, such as distance indicators, encounters, and isolations, are also influenced by sociocultural factors. CONCLUSIONS: The effective use of DCT for pandemic containment relies on achieving a balance between individual control and technological prevention. Maximizing the technological benefits of these tools is crucial. However, users must also be mindful of the information they share and maintain control over their shared data.