How does releasing information in a small community risk confidentiality, and how can this be mitigated?

• A. Increased likelihood of re-identification; mitigate by limiting disclosures, using de-identified data, and counseling about privacy
• B. No risk due to small population size
• C. Risk only exists for large hospitals
• D. Mitigation is to share more broadly

Answer: (A)

Releasing information in a small community can more easily threaten confidentiality because the pool of people who could match a given combination of facts is small. Even if you remove direct identifiers, details like a rare condition, a specific age range, or a particular timing of events can allow someone who knows the community to pick out the individual. De-identifying data helps, but it isn’t foolproof—people can be re-identified by linking de-identified records with other public information or local knowledge.

To reduce this risk, disclose only what is necessary, minimize the data shared, and use de-identified or aggregated data whenever possible. Apply techniques that remove or generalize dates and precise locations, limit access to those who need it, and put data-use agreements in place. Counseling patients about privacy—explaining what will be shared, with whom, and the potential privacy implications—helps them understand the trade-offs and make informed choices.

The other options don’t fit because there is indeed a confidentiality risk in small communities, risk isn’t limited to large hospitals, and sharing more broadly would increase, not reduce, the risk.