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Abstract BackgroundAs an illustrative example of COVID-19 pandemic community-based participatory research (CBPR), we describe a community-academic partnership to prioritize future research most important to people experiencing high occupational exposure to COVID-19 – food service workers. Food service workers face key challenges surrounding (1) health and safety precautions, (2) stress and mental health, and (3) the long-term pandemic impact. MethodUsing CBPR methodologies, academic scientists partnered with community stakeholders to develop the research aims, methods, and measures, and interpret and disseminate results. We conducted a survey, three focus groups, and a rapid qualitative assessment to understand the three areas of concern and prioritize future research. ResultsThe survey showed that food service employers mainly supported basic droplet protections (soap, hand sanitizer, gloves), rather than comprehensive airborne protections (high-quality masks, air quality monitoring, air cleaning). Food service workers faced challenging decisions surrounding isolation, quarantine, testing, masking, vaccines, and in-home transmission, described anxiety, depression, and substance use as top mental health concerns, and described long-term physical and financial concerns. Focus groups provided qualitative examples of concerns experienced by food service workers and narrowed topic prioritization. The rapid qualitative assessment identified key needs and opportunities, with help reducing in-home COVID-19 transmission identified as a top priority. COVID-19 mitigation scientists offered recommendations for reducing in-home transmission. ConclusionsThe COVID-19 pandemic has forced food service workers to experience complex decisions about health and safety, stress and mental health concerns, and longer-term concerns. Challenging health decisions included attempting to avoid an airborne infectious illness when employers were mainly only concerned with droplet precautions and trying to decide protocols for testing and isolation without clear guidance, free tests, or paid sick leave. Key mental health concerns were anxiety, depression, and substance use. Longer-term challenges included Long COVID, lack of mental healthcare access, and financial instability. Food service workers suggest the need for more research aimed at reducing in-home COVID-19 transmission and supporting long-term mental health, physical health, and financial concerns. This research provides an illustrative example of how to cultivate community-based partnerships to respond to immediate and critical issues affecting populations most burdened by public health crises.
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Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems Through User-Centered Privacy Protection: A Web-Based Survey Study
BackgroundMobile mental health systems (MMHS) have been increasingly developed and deployed in support of monitoring, management, and intervention with regard to patients with mental disorders. However, many of these systems rely on patient data collected by smartphones or other wearable devices to infer patients’ mental status, which raises privacy concerns. Such a value-privacy paradox poses significant challenges to patients’ adoption and use of MMHS; yet, there has been limited understanding of it. ObjectiveTo address the significant literature gap, this research aims to investigate both the antecedents of patients’ privacy concerns and the effects of privacy concerns on their continuous usage intention with regard to MMHS. MethodsUsing a web-based survey, this research collected data from 170 participants with MMHS experience recruited from online mental health communities and a university community. The data analyses used both repeated analysis of variance and partial least squares regression. ResultsThe results showed that data type (P=.003), data stage (P<.001), privacy victimization experience (P=.01), and privacy awareness (P=.08) have positive effects on privacy concerns. Specifically, users report higher privacy concerns for social interaction data (P=.007) and self-reported data (P=.001) than for biometrics data; privacy concerns are higher for data transmission (P=.01) and data sharing (P<.001) than for data collection. Our results also reveal that privacy concerns have an effect on attitude toward privacy protection (P=.001), which in turn affects continuous usage intention with regard to MMHS. ConclusionsThis study contributes to the literature by deepening our understanding of the data value-privacy paradox in MMHS research. The findings offer practical guidelines for breaking the paradox through the design of user-centered and privacy-preserving MMHS.
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- Award ID(s):
- 1704800
- PAR ID:
- 10479925
- Publisher / Repository:
- JMIR
- Date Published:
- Journal Name:
- JMIR Mental Health
- Volume:
- 8
- Issue:
- 12
- ISSN:
- 2368-7959
- Page Range / eLocation ID:
- e31633
- Subject(s) / Keyword(s):
- mobile apps mental health privacy concerns privacy protection mobile phone
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.2196/31633
