OBJECTIVES: This study investigates the data suppression or statistical disclosure limitation (DL) practices used during surveillance data Release by sexually transmitted disease (STD) prevention programs. METHODS: We classified DL strategies from a Web-based data query system that collected data from state health departments. We tested mean STD incidence Rates in states that used data suppression versus those that did not. RESULTS: Five types of DL were identified: no suppression (n = 15), numerator-only (n = 10), denominator-only (n = 6), demographic-only (n = 7), and mixed strategies (n = 12). Twenty-two states (62%) used data suppression strategies differently through time. Chlamydia, gonorrhea, and syphilis Rates were higher in the nonsuppression states than those of the suppression states (P = .03, P = .008, P = .009, Respectively). CONCLUSIONS: Cell suppression is the preferred method of DL used by STD prevention programs. More Research is needed to evaluate the effectiveness of this strategy as a means of balancing the public health utility of the data tables and the protection of confidentiality.
OBJECTIVES: This study investigates the data suppression or statistical disclosure limitation (DL) practices used during surveillance data Release by sexually transmitted disease (STD) prevention programs. METHODS: We classified DL strategies from a Web-based data query system that collected data from state health departments. We tested mean STD incidence Rates in states that used data suppression versus those that did not. RESULTS: Five types of DL were identified: no suppression (n = 15), numerator-only (n = 10), denominator-only (n = 6), demographic-only (n = 7), and mixed strategies (n = 12). Twenty-two states (62%) used data suppression strategies differently through time. Chlamydia, gonorrhea, and syphilis Rates were higher in the nonsuppression states than those of the suppression states (P = .03, P = .008, P = .009, Respectively). CONCLUSIONS: Cell suppression is the preferred method of DL used by STD prevention programs. More Research is needed to evaluate the effectiveness of this strategy as a means of balancing the public health utility of the data tables and the protection of confidentiality.
Authors: Hector P Rodriguez; Jie Chen; Kwame Owusu-Edusei; Allen Suh; Betty Bekemeier Journal: Am J Public Health Date: 2012-07-19 Impact factor: 9.308
Authors: Jennifer M Bissette; Jeffrey A Stover; Lori M Newman; Philip Christopher Delcher; Kyle T Bernstein; Lindsey Matthews Journal: Public Health Rep Date: 2009 Impact factor: 2.792