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Updated: Jul 3, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Camouflaged sampling and contacting of people from administrative databases: reaching target patients without knowing
Malcolm Maclure1, Leanne Warren, Donald Willison
1School of Health Information Science, Faculty of Human and Social Development, University of Victoria, Victoria, BC, Canada. mmaclure@uvic.ca
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.
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