Suchergebnisse

The relationship between correctional officer attitudes toward inmates and official reporting of major and minor institutional rule violations is examined. Factor analysis of correctional officer responses to the Klofas-Toch Measure of Professional Orientation produced two dimensions of officer attitude toward inmates: Human Service Orientation (HSO) and Social Distance (SD). HSO reflects belief in rehabilitation activities. SD reflects the preference for adopting a personal, informal, supervisory relationship with inmates. SD was the only dimension that predicted rule violation reporting. Officers who preferred high SD filed a higher number of minor misconduct reports than officers who preferred low SD. Neither dimension predicted the filing of major misconduct reports. Race and gender did not predict rule violation reporting. The relationship between officer education and preference for SD was unexpected, as was the relationship between years of service and SD. Inmate responses to discretionary rule enforcement might be negative. The influence of SD in rule violation reporting should be included in correctional training curricula.

Preparing correctional personnel to effectively respond to a broad range of lifethreatening emergencies is a critical goal for correctional managers. Although there is a growing literature on the management of correctional emergencies, researchers have not yet examined the methodology correctional managers use to evaluate staff preparedness for effective emergency management. This study presents two emergency preparedness evaluation (EPE) models: the real event model (REM) and the organizational convenience model (OCM). These models have different structural characteristics that may have important practical implications for the EPE process. A 49-question Correctional Emergency Management Survey elicited responses from 41 state Departments of Corrections (DOCs), indicating that the majority of DOCs currently use an OCM-based EPE methodology. The implications of this finding are discussed, and directions for future research suggested.

Acknowledgments The project was funded by the National Institute for Health Research Health Technology Assessment Programme (project number 07/60/18). The Health Services Research Unit and the Health Economics Research Unit are funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. The authors wish to thank the women who participated in the PROSPECT study. We also thank Margaret MacNeil for her secretarial support and data management; Dawn McRae and Lynda Constable for their trial management support; the programming team in CHaRT, led by Gladys McPherson; members of the Project Management Group for their ongoing advice and support of the study; and the staff at the recruitment sites who facilitated the recruitment, treatment and follow-up of study participants. The views and opinions expressed herein are those of the authors and do not necessarily reflect those of the UK Health Technology Assessment Programme, the National Institute of Health Research, the National Health Service, or the Department of Health. ; Peer reviewed ; Publisher PDF