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The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes.
Rundle, Andrew Graham; Bader, Michael David Miller; Mooney, Stephen John.
  • Rundle AG; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States.
  • Bader MDM; Department of Sociology, College of Arts and Sciences, American University, Washington, DC, United States.
  • Mooney SJ; Department of Public Administration & Policy, School of Public Affairs, American University, Washington, DC, United States.
J Med Internet Res ; 24(3): e30619, 2022 03 17.
Article in English | MEDLINE | ID: covidwho-1770890
ABSTRACT
Clinical epidemiology and patient-oriented health care research that incorporates neighborhood-level data is becoming increasingly common. A key step in conducting this research is converting patient address data to longitude and latitude data, a process known as geocoding. Several commonly used approaches to geocoding (eg, ggmap or the tidygeocoder R package) send patient addresses over the internet to web-based third-party geocoding services. Here, we describe how these approaches to geocoding disclose patients' personally identifiable information (PII) and how the subsequent publication of the research findings discloses the same patients' protected health information (PHI). We explain how these disclosures can occur and recommend strategies to maintain patient privacy when studying neighborhood effects on patient outcomes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disclosure / Personally Identifiable Information Type of study: Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 30619

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disclosure / Personally Identifiable Information Type of study: Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 30619