The identification and prevalence of veterinary clinical events in U.S. military working dogs deployed to Iraq between March 20, 2003, and December 31, 2007

Objective. The purpose of this study was to identify the medical issues experienced by Military Working Dogs during their period of deployment in Iraq.^ Design. This study was a retrospective cross-sectional survey based on database and medical record abstraction.^ Population. Military Working Dogs (MWDs) that were deployed to Iraq at any time between 20 March 2003 and 31 December 2007 were the inclusive population of interest. Seven hundred ninety-five (795) MWDs were identified as having been deployed to Iraq during the inclusive dates. Four hundred ninety-six (496) MWDs were identified that had medical events during the deployment period. ^ Procedures. Eligible MWDs were identified through several sources, to include database query, medical record abstraction questionnaire, and medical record abstraction. Demographic information collected for each MWD included tattoo, name, age, gender, breed, Branch of Service, and duty certification. Information on each veterinary/medical clinical event (VCE) was collected. This information was coded, and data entered into a database for organization. Frequency and prevalence information were determined for each category of VCE.^ Results. The top four VCEs experienced by MWDs while deployed in Iraq were gastrohepatic, dermatologic, traumatic injury, and appendicular musculoskeletal issues.^ Conclusions. Training, equipment, and supplies for veterinary personnel who care for the deployed MWDs should be tailored accordingly to suit the identified medical needs of the MWDs. ^

Procedure for the identification of population characteristics for targeting intervention services on the basis of outcome-goal priorities: Case management services for the chronic mentally ill

Although the processes involved in rational patient targeting may be obvious for certain services, for others, both the appropriate sub-populations to receive services and the procedures to be used for their identification may be unclear. This project was designed to address several research questions which arise in the attempt to deliver appropriate services to specific populations. The related difficulties are particularly evident for those interventions about which findings regarding effectiveness are conflicting. When an intervention clearly is not beneficial (or is dangerous) to a large, diverse population, consensus regarding withholding the intervention from dissemination can easily be reached. When findings are ambiguous, however, conclusions may be impossible.^ When characteristics of patients likely to benefit from an intervention are not obvious, and when the intervention is not significantly invasive or dangerous, the strategy proposed herein may be used to identify specific characteristics of sub-populations which may benefit from the intervention. The identification of these populations may be used both in further informing decisions regarding distribution of the intervention and for purposes of planning implementation of the intervention by identifying specific target populations for service delivery.^ This project explores a method for identifying such sub-populations through the use of related datasets generated from clinical trials conducted to test the effectiveness of an intervention. The method is specified in detail and tested using the example intervention of case management for outpatient treatment of populations with chronic mental illness. These analyses were applied in order to identify any characteristics which distinguish specific sub-populations who are more likely to benefit from case management service, despite conflicting findings regarding its effectiveness for the aggregate population, as reported in the body of related research. However, in addition to a limited set of characteristics associated with benefit, the findings generated, a larger set of characteristics of patients likely to experience greater improvement without intervention. ^