Encounters between civilian law enforcement (CLE) and combat veterans may end in incarceration. Police Chiefs should consider this when allocating resources. The Sequential Intercept Model (SIM) is a conceptual framework designed to provide a guide to Police Chiefs for decision-making particularly for the benefit of combat veteran encounters. The qualitative method with case study research design utilized for this study was intended to examine the decision-making processes of law enforcement leaders regarding resource allocation. The University of Phoenix Library was the primary source for research of scholarly work. The target audience for the research was 26% of the Police Chiefs in police agencies with 25 members or less in Beaver County, Western Pennsylvania. The perception of Police Chiefs was examined in individual telephone interviews. The data collected during interviews were analyzed for trends in perception and decision-making processes. Data included interviews, training records and budgetary documents. The results are intended as a resource for police leaders for decision-making processes and for the benefit of public safety, officer safety and the individual combat veterans. Field notes and transcribed interviews were downloaded into NVivo software for analysis and emerging themes. Four emerging themes were: Need for decision-making processes, more funding is needed for training, training for police related to combat veteran encounters may help with jail diversion for combat veterans, and organizational efficiency through maintaining training records of police officers is necessary. Without changes based on emerging themes, a reduction in the veteran incarceration rate may not occur.
|Commitee:||Ballaro, Julie, Strunk, Kimberly|
|School:||University of Phoenix|
|School Location:||United States -- Arizona|
|Source:||DAI-A 80/06(E), Dissertation Abstracts International|
|Subjects:||Law enforcement, Mental health, Management|
|Keywords:||Crisis intervention, Decision-making, Military mental health, Public health, Resource allocation, Social psychology|
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