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Camouflaged sampling and contacting of people from administrative databases: reaching target patients without knowing who they are
Author(s) -
Maclure Malcolm,
Warren Leanne,
Willison Donald,
Cassels Alan,
Carleton Bruce
Publication year - 2008
Publication title -
pharmacoepidemiology and drug safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.023
H-Index - 96
eISSN - 1099-1557
pISSN - 1053-8569
DOI - 10.1002/pds.1623
Subject(s) - confidentiality , medicine , population , psychosocial , sample (material) , family medicine , internet privacy , sampling (signal processing) , computer science , computer security , psychiatry , environmental health , chemistry , filter (signal processing) , chromatography , computer vision
Background Methods are needed for using confidential data to select and reach patients without compromising their health privacy. Methods (a) Sampling: we created (1) an anonymous list of encrypted personal health numbers (EPHNs) of target patients (e.g., users of the medications of interest) and (2) an anonymous list of EPHNs of people randomly sampled from the general population of non‐users. The two lists were merged and randomly ordered to make a camouflaged list. People on the second list were called camouflagers. Then EPHNs were matched to names and contact information, and the EPHNs were removed from the contact list. (b) Contacting: when we contacted patients by mail or telephone, we told them their names were selected from one of two lists, and their health status was unknown to us. We invited respondents to answer (1) a short survey for the general population or (2) a longer survey concerning the target condition. Results In five studies, the percentage of camouflagers—equal to one minus the positive predictive value of the camouflaged list—has varied from 10 to over 50%. This depended on the psychosocial sensitivity of the target medications or health conditions, the natural camouflaging by the population's heterogeneity or inaccuracy of the data on the target characteristic, the degree of stratification of the sample, and the cost of contacting. Conclusion Camouflaging enables administrative data to be used for contacting target patients in selected populations while adhering to current data privacy laws and ethics principles. Copyright © 2008 John Wiley & Sons, Ltd.