Perceptions of Alerts Issued by Social Media Platforms in Response to Self-injury Posts Among Latinx Adolescents: Qualitative Analysis

What methods are used in research of firsthand experiences with online self-harming and suicidal behavior? A scoping review

BACKGROUND

Online self-harming and suicidal behavior is a novel and rapidly increasing phenomenon warranting comprehensive mapping of used research methods.

AIM

To identify and map how knowledge on online self-harming and suicidal behavior is gathered, including how data are collected e.g. questionnaires and interviews.

METHODS

The review follows the Joanna Briggs Institute Manual for Scoping Reviews in tandem with Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. A keyword search of three electronic databases was conducted on two occasions, yielding 5422 records. Following duplicate removal, the records were screened based on the following inclusion criterions; (1) in English or Nordic language and published between 2011-2022, (2) presenting results for self-harming and/or suicidal behavior on social media and (3) using tools for either interview or questionnaire aiming at assessment of the experience of online self-harming and suicidal behavior from the perspective of the person who engages in the behavior. A total of 64 articles were included.

RESULTS

45 used questionnaires, 17 used interviews, and two studies mixed the two approaches. 17% of the studies had made some effort to ensure validity within the questionnaires and 15.8% gave full access to the interview guide.

CONCLUSION

Research into online self-harming and suicidal behavior is characterized by a lack of validated measurements and methodological transparency. The results emphasize a need for further development, testing, and validation of questionnaires and greater openness and reflexivity in qualitative methodology to enable cross-study comparison and advance knowledge of this complex phenomenon.

Resident Willingness to Participate in Digital Contact Tracing in a COVID-19 Hotspot: Findings From a Detroit Panel Study

BACKGROUND

Digital surveillance tools and health informatics show promise in counteracting diseases but have limited uptake. A notable illustration of the limits of such tools is the general failure of digital contact tracing in the United States in response to COVID-19.

OBJECTIVE

We investigated the associations between individual characteristics and the willingness to use app-based contact tracing in Detroit, a majority-minority city that experienced multiple waves of COVID-19 outbreaks and deaths since the start of the pandemic. The aim of this study was to examine variations among residents in the willingness to download a contact tracing app on their phones to provide public health officials with information about close COVID-19 contact during summer 2020.

METHODS

To examine residents' willingness to participate in digital contact tracing, we analyzed data from 2 waves of the Detroit Metro Area Communities Study, a population-based survey of Detroit, Michigan residents. The data captured 1873 responses from 991 Detroit residents collected in June and July 2020. We estimated a series of multilevel logit models to gain insights into differences in the willingness to participate in digital contact tracing across a variety of individual attributes, including race/ethnicity, degree of trust in the government, and level of education, as well as interactions among these variables.

RESULTS

Our results reflected widespread reluctance to participate in digital contact tracing in response to COVID-19, as less than half (826/1873, 44.1%) of the respondents said they would be willing to participate in app-based contact tracing. Compared to White respondents, Black (odds ratio [OR] 0.45, 95% CI 0.23-0.86) and Latino (OR 0.32, 95% CI 0.11-0.99) respondents were significantly less willing to participate in digital contact tracing. Trust in the government was positively associated with the willingness to participate in digital contact tracing (OR 1.17, 95% CI 1.07-1.27), but this effect was the strongest for White residents (OR 2.14, 95% CI 1.55-2.93). We found similarly divergent patterns of the effects of education by race. While there were no significant differences among noncollege-educated residents, White college-educated residents showed greater willingness to use app-based contact tracing (OR 6.12, 95% CI 1.86-20.15) and Black college-educated residents showed less willingness (OR 0.46, 95% CI 0.26-0.81).

CONCLUSIONS

Trust in the government and education contribute to Detroit residents' wariness of digital contact tracing, reflecting concerns about surveillance that cut across race but likely arise from different sources. These findings point to the importance of a culturally informed understanding of health hesitancy for future efforts hoping to leverage digital contact tracing. Though contact tracing technologies have the potential to advance public health, unequal uptake may exacerbate disparate impacts of health crises.