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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 21, 2021
Open Peer Review Period: May 21, 2021 - Jul 16, 2021
Date Accepted: Dec 22, 2021
Date Submitted to PubMed: Feb 1, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes

Rundle AG, Bader MDM, Mooney SJ

The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes

J Med Internet Res 2022;24(3):e30619

DOI: 10.2196/30619

PMID: 35103610

PMCID: 8972108

The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes

  • Andrew Graham Rundle; 
  • Michael David Miller Bader; 
  • Stephen John Mooney

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.


 Citation

Please cite as:

Rundle AG, Bader MDM, Mooney SJ

The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes

J Med Internet Res 2022;24(3):e30619

DOI: 10.2196/30619

PMID: 35103610

PMCID: 8972108

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