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The purpose of this paper is to evaluate a police department's Post-Crisis Assistance Program (PCAP) for consumers who experienced a police-abated mental health crisis. The authors analyzed three questions: First, does PCAP reduce a consumer's future mental health calls for service (CFS)? Second, does PCAP reduce a consumer's odds of being arrested? Third, does PCAP reduce the odds of a consumer being taken into emergency protective custody (EPC)?

The authors use propensity score matching to analyze data from a sample of individuals (n=739) who experienced a police-abated mental health crisis.

The authors find that PCAP consumers generated fewer mental health CFS, were less likely to be arrested, and were less likely to be taken into EPC than non-PCAP consumers six months following a police-abated mental health crisis.

The research only examined outcomes six months after a mental health crisis. The authors encourage future research to examine whether the benefits of PCAP persist over longer periods of time.

The study demonstrates that partnerships between police departments and local mental health groups can help police officers better serve citizens with mental health conditions.

To the knowledge, this is the first study to evaluate the impact of a PCAP for citizens experiencing police-abated mental health crises.

This paper aims to review the existing literature systematically so as to contribute towards a better understanding of methodological problems of the classical statistical techniques, artificially intelligent expert systems and theoretical approaches to solve the corporate failure syndrome.

This paper presented a systematic review of 83 articles reporting 137 prediction failure models published within 1966-2012 in scholarly reviewed journals in four main disciplines, namely, accounting, finance, banking and economics. The authors performed the systematic literature review with five main sources, namely, Science Direct, Google Scholar, Wiley Interscience, Metalib, Web of Science and Business Source Complete of the Social Sciences. The review modified the approaches used by Aziz and Dar (2006), Ravi and Ravi (2007) and Balcaen and Ooghe (2006).

The results indicate significant body of prior literature on prediction of corporate failure, but a theoretically sound, highly accurate, simple and widely used corporate failure prediction model for stakeholders has yet to be developed.

This paper contributes towards a systematic understanding of the methodological problems associated with the statistical, artificially intelligent expert systems and theoretical approaches to solve the corporate failure prediction problems faced by firms in 11 countries.