No abstract

Missing person reports from hospitals and mental health facilities are a significant issue impacting patients, communities, and health and police sectors. Research on missing persons seldom considers the type of location from where people go missing, which can be troublesome due to the increased chances for experiencing harm during an episode from hospitals and mental health facilities. When location type is studied, these often remarkably different places are frequently blended together in analyses and discussions. This conflation has implications for research and the development of effective police preventive responses. To begin to address this gap, this study uses descriptive analysis and logistic regression to examine the descriptive and predictive profiles of those reported missing from hospitals versus those reported missing from mental health units. For this, data are taken from a sample of 916 closed missing person cases reported to a Canadian municipal police service over five years. Results suggest there are significant differences in both the descriptive and predictive profiles of individuals reported missing from these two location types, such as individuals with varying mental health and cognitive issues going missing from each place, respectively. Given the findings, the implications for research, policing, and risk management are discussed.

PurposeInternational literature on missing persons suggests that a significant volume of missing person cases originate from hospitals and mental health units, resulting in considerable costs and resource demands on both police and health sectors (e.g., Bartholomew et al., 2009; Sowerby and Thomas, 2017). In the Canadian context, however, very little is known about patients reported missing from these locations – a knowledge deficit with profound implications in terms of identifying and addressing risk factors that contribute to this phenomenon. The present study is one such preliminary attempt to try to fill a significant research and policy gap.Design/methodology/approachThe authors draw on data from a sample of 8,261 closed missing person reports from a Canadian municipal police service over a five-year period (2013–2018). Using multiple logistic regression, the authors identify, among other factors, who is most likely to be reported missing from these locations.FindingsResults reveal that several factors, such as mental disabilities, senility, mental illness and addiction, are significantly related to this phenomenon. In light of these findings, the authors suggest that there is a need to develop comprehensive strategies and policies involving several stakeholders, such as health care and social service organizations, as well as the police.Originality/valueEach year, thousands of people go missing in Canada with a large number being reported from hospitals and mental health units, which can be burdensome for the police and health sectors in terms of human and financial resource allocation. Yet, very little is known about patients reported missing from health services – a knowledge deficit with profound implications in terms of identifying and addressing risk factors that contribute to this phenomenon. This manuscript seeks to remedy this gap in Canadian missing persons literature by exploring who goes missing from hospitals and mental health units.

PurposeThe purpose of this paper is to test the “power few” concept in relation to missing persons and the locations from which they are reported missing.Design/methodology/approachData on missing persons’ cases (n = 26,835) were extracted from the record management system of a municipal Canadian police service and used to create data sets of all of the reports associated with select repeat missing adults (n = 1943) and repeat missing youth (n = 6,576). From these sources, the five locations from which repeat missing adults and youth were most commonly reported missing were identified (“power few” locations). The overall frequency of reports generated by these locations was then assessed by examining all reports of both missing and repeat missing cases, and demographic and incident factors were also examined.FindingsThis study uncovers ten addresses (five for adults; five for youths) in the City from which this data was derived that account for 45 percent of all adults and 52 percent of all youth missing person reports. Even more striking, the study data suggest that targeting these top five locations for adults and youths could reduce the volume of repeat missing cases by 71 percent for adults and 68.6 percent for youths. In relation to the demographic characteristics of the study’s sample of adults and youths who repeatedly go missing, the authors find that female youth are two-thirds more likely to go missing than male youth. Additionally, the authors find that Aboriginal adults and youths are disproportionately represented among the repeat missing. Concerning the incident factors related to going missing repeatedly, the authors find that the repeat rate for going missing is 63.2 percent and that both adults and youths go missing 3–10 times on average.Practical implicationsThe study results suggest that, just as crime concentrates in particular spaces among specific offenders, repeat missing cases also concentrate in particular spaces and among particular people. In thinking about repeat missing persons, the present research offers support for viewing these concerns as a behavior setting issue – that is, as a combination of demographic factors of individuals, as well as factors associated with particular types of places. Targeting “power few” locations for prevention efforts, as well as those most at risk within these spaces, may yield positive results.Originality/valueVery little research has been conducted on missing persons and, more specifically, on how to more effectively target police initiatives to reduce case volumes. Further, this is the first paper to successfully apply the concept of the “power few” to missing persons’ cases.

Introduction Wrong-site/side surgical “never events” continue to cause considerable harm to patients, healthcare professionals, and organizations within the United Kingdom. Incidence has remained static despite the mandatory introduction of surgical checklists. Operating theater list errors have been identified as a regular contributor to these never events. The aims of the study were to identify and to learn from the incidence of wrong-site/side list errors in a single National Health Service board. Methods The study was conducted in a single National Health Service board serving a population of approximately 300,000. All theater teams systematically recorded errors identified at the morning theater brief or checklist pause as part of a board-wide quality improvement project. Data were reviewed for a 2-year period from May 2013 to April 2015, and all episodes of wrong-site/side list errors were identified for analysis. Results No episodes of wrong-site/side surgery were recorded for the study period. A total of 86 wrong-site/side list errors were identified in 29,480 cases (0.29%). There was considerable variation in incidence between surgical specialties with ophthalmology recording the largest proportion of errors per number of surgical cases performed (1 in 87 cases) and gynecology recording the smallest proportion (1 in 2671 cases). The commonest errors to occur were “wrong-side” list errors (62/86, 72.1%). Discussion This is the first study to identify incidence of wrong-site/site list errors in the United Kingdom. Reducing list errors should form part of a wider risk reduction strategy to reduce wrong-site/side never events. Human factors barrier management analysis may help identify the most effective checks and controls to reduce list errors incidence, whereas resilience engineering approaches should help develop understanding of how to best capture and neutralize errors.