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Exploring Online Crowdfunding for Cancer-Related Costs Among LGBTQ+ (Lesbian, Gay, Bisexual, Transgender, Queer, Plus) Cancer Survivors: Integration of Community-Engaged and Technology-Based Methodologies.

Austin R WatersCindy TurnerCaleb W EasterlyIda TovarMegan MulvaneyMatt PoquadeckHailey JohnstonLauren Victoria GhazalStephen A RainsKristin G CloyesAnne C KirchhoffEcho L Warner
Published in: JMIR cancer (2023)
The classification tools developed by integrating community-engaged and technology-based methods were more accurate because of the equity-based approach of centering LGBTQ+ voices and their lived experiences. This exemplar suggests integrating community-engaged and technology-based methods to study inequities is highly feasible and has applications beyond LGBTQ+ financial burden research.
Keyphrases
  • mental health
  • healthcare
  • men who have sex with men
  • hiv testing
  • machine learning
  • hiv positive
  • young adults
  • deep learning
  • social media
  • high resolution
  • risk factors
  • hepatitis c virus
  • global health