Creating inclusive digital health resources for marginalised culturally diverse families: a call to action

Is Generative AI Increasing the Risk for Technology-Mediated Trauma Among Vulnerable Populations?

The proliferation of Generative Artificial Intelligence (Generative AI) has led to an increased reliance on AI-generated content for designing and deploying digital health interventions. While generative AI has the potential to facilitate and automate healthcare, there are concerns that AI-generated content and AI-generated health advice could trigger, perpetuate, or exacerbate prior traumatic experiences among vulnerable populations. In this discussion article, I examined how generative-AI-powered digital health interventions could trigger, perpetuate, or exacerbate emotional trauma among vulnerable populations who rely on digital health interventions as complementary or alternative sources of seeking health services or information. I then proposed actionable strategies for mitigating AI-generated trauma in the context of digital health interventions. The arguments raised in this article are expected to shift the focus of AI practitioners against prioritizing dominant narratives in AI algorithms into seriously considering the needs of vulnerable minority groups who are at the greatest risk for trauma but are often invisible in AI data sets, AI algorithms, and their resultant technologies.

Patient-Centered Approaches for Designing Destigmatizing Sexual Pain-Related Web-Based Platforms: Qualitative Study

BACKGROUND

Sexual pain is a common but neglected disorder that affects approximately 3% to 18% of women and an unmeasured number of gender-diverse people worldwide. Despite its wide prevalence, many people feel reluctant to visit conventional health care services or disclose their symptoms due to the fear of stigmatization. To alleviate this stigma, various web-based interventions have been developed to complement and, in some cases, replace conventional sexual health interventions. However, the way these web-based interventions are developed could inadvertently reproduce, perpetuate, or exacerbate stigma among end user patients.

OBJECTIVE

The purpose of this study was to understand patients' perspectives on how sexual pain-related web platforms can be designed to alleviate stigma or prevent the unintended effects of stigma among patients who use web-based interventions.

METHODS

Individual semistructured interviews were conducted among 16 participants with lived experiences of painful sex in a large urban city in Western Canada. Participants were recruited via social media platforms, newsletters, and a provincial health volunteer website. Using a sample sexual pain website to provide context, participants were interviewed about their experiences of stigma and how they think web platforms could be designed to address stigma. The interviews were conducted via Zoom (Zoom Technologies Inc) and analyzed using thematic analysis.

RESULTS

The findings revealed 4 overarching themes that represented participants' perspectives on designing web platforms that may alleviate or prevent the unintended effects of stigma. These findings suggested the design of inclusive web platforms, having a nonprovocative and calming user interface, having features that facilitate connections among users and between users and providers, and displaying personal testimonials and experiences of sexual pain.

CONCLUSIONS

This study highlighted patient-centered design approaches that could serve as a reference guide in developing web platforms that alleviate or prevent the unintended effects of stigma, particularly among nonheterosexual and gender-diverse people. While this study was conducted in the context of sexual pain, the results might also apply to web platforms on other potentially stigmatizing health-related disorders or conditions.