Family Maltreatment, Substance Problems, and Suicidality: Prevention Surveillance and Ecological Risk/ Protective Factors Models
Annual rept. 1 Apr 2008-31 May 2009
STATE UNIV OF NEW YORK AT STONY BROOK RESEARCH FOUNDATION
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This study seeks to derive and validate an innovative public health surveillance system. Years of pilot work with the AF found that it is possible to derive accurate complex statistical estimation algorithms from data sets containing both nonsensitive information and assessments of secretive problems. These algorithms can then be applied to data sets that do not directly assess secretive problems to accurately estimate problem prevalences. In other words, a single survey administration and the algorithms can obviate the need for future secretive behavior surveys, making this a cost effective and sustainable planning tool. Further, the data set to be used for algorithm derivation will also be ideal to test a series of specific hypotheses about individual, family, workplace, and community risk and protective factors for each of the secretive problems.
- Medicine and Medical Research