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Patients' willingness to share digital health and non-health data for research: a cross-sectional study.
Seltzer, Emily; Goldshear, Jesse; Guntuku, Sharath Chandra; Grande, Dave; Asch, David A; Klinger, Elissa V; Merchant, Raina M.
Afiliação
  • Seltzer E; Penn Medicine Center for Digital Health, University of Pennsylvania, 3400 Civic Blvd, Philadelphia, PA, USA.
  • Goldshear J; Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USA.
  • Guntuku SC; Penn Medicine Center for Digital Health, University of Pennsylvania, 3400 Civic Blvd, Philadelphia, PA, USA.
  • Grande D; Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USA.
  • Asch DA; Penn Medicine Center for Digital Health, University of Pennsylvania, 3400 Civic Blvd, Philadelphia, PA, USA. sharathg@sas.upenn.edu.
  • Klinger EV; Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. sharathg@sas.upenn.edu.
  • Merchant RM; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA. sharathg@sas.upenn.edu.
BMC Med Inform Decis Mak ; 19(1): 157, 2019 08 08.
Article em En | MEDLINE | ID: mdl-31395102
ABSTRACT

BACKGROUND:

Patients generate large amounts of digital data through devices, social media applications, and other online activities. Little is known about patients' perception of the data they generate online and its relatedness to health, their willingness to share data for research, and their preferences regarding data use.

METHODS:

Patients at an academic urban emergency department were asked if they would donate any of 19 different types of data to health researchers and were asked about their views on data types' health relatedness. Factor analysis was used to identify the structure in patients' perceptions of willingness to share different digital data, and their health relatedness.

RESULTS:

Of 595 patients approached 206 agreed to participate, of whom 104 agreed to share at least one types of digital data immediately, and 78% agreed to donate at least one data type after death. EMR, wearable, and Google search histories (80%) had the highest percentage of reported health relatedness. 72% participants wanted to know the results of any analysis of their shared data, and half wanted their healthcare provider to know.

CONCLUSION:

Patients in this study were willing to share a considerable amount of personal digital data with health researchers. They also recognize that digital data from many sources reveal information about their health. This study opens up a discussion around reconsidering US privacy protections for health information to reflect current opinions and to include their relatedness to health.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Volição / Atitude / Privacidade / Pesquisa sobre Serviços de Saúde Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Volição / Atitude / Privacidade / Pesquisa sobre Serviços de Saúde Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article