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Applying the Digital Health Social Justice Guide.
Figueroa, Caroline A; Murayama, Hikari; Amorim, Priscila Carcamo; White, Alison; Quiterio, Ashley; Luo, Tiffany; Aguilera, Adrian; Smith, Angela D R; Lyles, Courtney R; Robinson, Victoria; von Vacano, Claudia.
Afiliación
  • Figueroa CA; School of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.
  • Murayama H; D-Lab, University of California, Berkeley, Berkeley, CA, United States.
  • Amorim PC; D-Lab, University of California, Berkeley, Berkeley, CA, United States.
  • White A; Energy and Resources Group, University of California, Berkeley, Berkeley, CA, United States.
  • Quiterio A; D-Lab, University of California, Berkeley, Berkeley, CA, United States.
  • Luo T; D-Lab, University of California, Berkeley, Berkeley, CA, United States.
  • Aguilera A; D-Lab, University of California, Berkeley, Berkeley, CA, United States.
  • Smith ADR; School of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.
  • Lyles CR; School of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.
  • Robinson V; UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, CA, United States.
  • von Vacano C; School of Information, University of Texas at Austin, Austin, TX, United States.
Front Digit Health ; 4: 807886, 2022.
Article en En | MEDLINE | ID: mdl-35295620
ABSTRACT

Introduction:

Digital health, the use of apps, text-messaging, and online interventions, can revolutionize healthcare and make care more equitable. Currently, digital health interventions are often not designed for those who could benefit most and may have unintended consequences. In this paper, we explain how privacy vulnerabilities and power imbalances, including racism and sexism, continue to influence health app design and research. We provide guidelines for researchers to design, report and evaluate digital health studies to maximize social justice in health.

Methods:

From September 2020 to April 2021, we held five discussion and brainstorming sessions with researchers, students, and community partners to develop the guide and the key questions. We additionally conducted an informal literature review, invited experts to review our guide, and identified examples from our own digital health study and other studies.

Results:

We identified five overarching topics with key questions and subquestions to guide researchers in designing or evaluating a digital health research study. The overarching topics are 1. Equitable distribution; 2. Equitable design; 3. Privacy and data return; 4. Stereotype and bias; 5. Structural racism.

Conclusion:

We provide a guide with five key topics and questions for social justice digital health research. Encouraging researchers and practitioners to ask these questions will help to spark a transformation in digital health toward more equitable and ethical research. Future work needs to determine if the quality of studies can improve when researchers use this guide.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Front Digit Health Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Front Digit Health Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos