Avoiding disclosure of individually identifiable health information: a literature review
Achieving data and information dissemination without arming anyone is a central task of any entity in charge of collecting data. In this article, the authors examine the literature on data and statistical confidentiality. Rather than comparing the theoretical properties of specific methods, they emphasize the main themes that emerge from the ongoing discussion among scientists regarding how best to achieve the appropriate balance between data protection, data utility, and data dissemination. They cover the literature on de-identification and reidentification methods with emphasis on health care data. The authors also discuss the benefits and limitations for the most common access methods. Although there is abundant theoretical and empirical research, their review reveals lack of consensus on fundamental questions for empirical practice: How to assess disclosure risk, how to choose among disclosure methods, how to assess reidentification risk, and how to measure utility loss.
|Date of creation:||14 Dec 2011|
|Publication status:||Published in SAGE Open (2011): pp. 1-16|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Skinner, Chris & Shlomo, Natalie, 2008. "Assessing Identification Risk in Survey Microdata Using Log-Linear Models," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 989-1001.
- John M. Abowd & Julia I. Lane, 2004. "New Approaches to Confidentiality Protection Synthetic Data, Remote Access and Research Data Centers," Longitudinal Employer-Household Dynamics Technical Papers 2004-03, Center for Economic Studies, U.S. Census Bureau.
- Daniel Weinberg & John Abowd & Sandra Rowland & Philip Steel & Laura Zayatz, 2007. "Access Methods for United States Microdata," Working Papers 07-25, Center for Economic Studies, U.S. Census Bureau.
- C. J. Skinner, 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 195-212.
- J. Trent Alexander & Michael Davern & Betsey Stevenson, 2010.
"Inaccurate Age and Sex Data in the Census PUMS Files: Evidence and Implications,"
CESifo Working Paper Series
2929, CESifo Group Munich.
- J. Trent Alexander & Michael Davern & Betsey Stevenson, 2010. "Inaccurate age and sex data in the Census PUMS files: Evidence and Implications," NBER Working Papers 15703, National Bureau of Economic Research, Inc.
- J. Trent Alexander & Michael Davern & Betsey Stevenson, 2010. "Inaccurate age and sex data in the Census PUMS files: evidence and implications," Working Paper Series 2010-03, Federal Reserve Bank of San Francisco.
- Julia Lane & Claudia Schur, 2009. "Balancing Access to Data And Privacy. A review of the issues and approaches for the future," Working Paper Series of the German Council for Social and Economic Data 113, German Council for Social and Economic Data (RatSWD).
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:35463. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.