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These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The purpose of this study was to investigate violence and aggression committed by nursing home residents that is directed toward other residents, referred to here as resident-to-resident elder mistreatment (R-REM). Resident-to-resident mistreatment (R-REM) was defined as: negative and aggressive physical, sexual, or verbal interactions between long term care residents, that in a community setting would likely be construed as unwelcome and have high potential to cause physical or psychological distress in the recipient.

The goals of this project were to: enhance institutional recognition of R-REM; examine the convergence of R-REM reports across different methodologies; identify the most accurate mechanism for detecting and reporting R-REM; develop profiles of persons involved with R-REM by reporting source; investigate existing R-REM policies, and; develop institutional guidelines for reporting R-REM episodes. Also, the project team sought to answer the following research questions: (1) Will the reporting of R-REM differ by source? (2) Which reporting methods will show the highest level of convergence and accuracy in reporting? (3) What resident characteristics or profiles will predict R-REM across the differing reporting sources? (4) What are the existing guidelines and/or institutional policies for reporting R-REM? To achieve these goals, the researcher conducted this study over a two week period in five urban and five suburban New York City facilities. Resident-to-resident abuse information was derived from five sources: (1) resident interviews (2) staff informants (3) observational data (behavior sheets) (4) resident chart reviews (5) incident and accident reports.

The Urban Institute and the Minnesota Department of Corrections (MnDOC) attempted to improve the surveillance system in two state correctional facilities: Stillwater (STW) and Moose Lake (ML). The goal of this study was to conduct a rigorous process and impact evaluation of the steps that STW and ML took to optimize their surveillance systems, which included repositioning existing cameras, installing new cameras, and making other infrastructural upgrades. In addition, ML integrated an audio analytic technology in their system that would alert on-unit security staff through a visual and audio alert when it detected sounds associated with anger, fear, or verbal aggression.

The evaluation used a mixed-methods research design. Qualitative data collection included stakeholder interviews and in-depth observations of the camera operations at ML and STW before, during, and after the upgrades. The research team interviewed wardens, supervisors and officers working in the intervention units, and numerous other individuals who oversaw operations, investigations, information technology, and camera installation and configuration in ML and STW.

Quantitative administrative data were collected from ML and comparison facilities and comparative interrupted time-series (CITS) analyses were employed to examine changes in two outcomes (total misconduct incidents and guilty dispositions) following the intervention. To support the CITS, another unit in ML was identified that did not upgrade its surveillance system but was similar to the intervention housing unit in terms of population, architecture, and misconduct levels (internal comparison unit), and used the synthetic control method to create another comparison unit derived from the three other medium-security prisons operated by MnDOC (external comparison unit).