Objectives:The literature on patient safety in psychiatry has not been explored systematically in terms of what interventions are used, how they are used, and what type of (preventable) harm is targeted. The aims of this scoping review are to explore patient safety strategies used in psychiatry and determine how they construct the notion of preventable harm. Method:A scoping review of literature on patient safety in psychiatry published in English between 2000 and 2019 was conducted using Scopus, MEDLINE, PsycInfo, and CINAHL. Keywords of patient safety strategies and possible outcomes were coded from the results, discussion, or conclusion. Patient safety strategies were inductively categorized into themes according to the focus of the strategy. Results:The review introduces 7 focus areas of patient safety strategies identified within the psychiatric literature: "risk management," "healthcare practitioners," "patient observation," "patient involvement," "computerized methods," "admission and discharge," and "security." The result shows that patient safety strategies mainly aim to reduce suicide, self-harm, violence, and falls and present a large diversity of measures, often aimed at reducing variability while increasing standardization. Conclusions:The strategies that are supported in the literature to achieve safer psychiatry mainly arise from linear cause-effect models and rely on staff performance, competence, and compliance. Contemporary safety science acknowledges the performance variability of everyday normal work and sees risk as the dynamic migration of these daily activities. The field of psychiatry has not yet included this view of safety in the strategic actions to reduce preventable harm.

Background As healthcare becomes increasingly complex, new methods are needed to identify weaknesses in the system that could lead to increased risk. Traditionally, the focus for patient safety is to study incident reports and adverse events, but that starting point has been contested with a new era of safety investigations: the analysis of everyday clinical work, and the resilient healthcare. This study introduces a new approach of system monitoring as a way to strengthen patient safety and has focused on discharge in psychiatry as a risk for adverse outcomes. The aim was to analyse a psychiatric clinic’s everyday ‘normal’ performance variability of discharge from inpatient psychiatric care to outpatient care. Method A retrospective longitudinal correlation study with a strategic selection. Data consist of 70,797 patient visits within one psychiatric clinic, and the visits were compared between 81 different wards in Stockholm County by using a model of time-lapse visualization. Results The time-lapse visualization shows a discrepancy in types of visits and the proportion of cancelled visits to the outward units. 42% of all patients that were scheduled as an outward patient, did not complete this transition, but instead, they revisit the clinics’ emergency ward and did not receive the planned care treatment. The patients who visit the emergency ward instead of their planned outpatient visit did this within 20 days. Conclusions The findings show a potential increased demand for emergency psychiatric care from 2010 to 2018 within the clinic. It also suggests that the healthcare system creates a space of temporal as well as functional variability, and that patients use this space to adapt to their changing conditions. This understanding can assist management in prioritising allocation of resources and thereby strengthen patient safety. Today’s incident reporting systems in healthcare are ineffective in monitoring patterns of more cancelled visits in outward units and sooner visit to the emergency ward. By using time-lapse visualization of patient interactions, stakeholders might analyse current-, and estimate future, stressors within the system to identify and understand potential system migration towards risk in healthcare. This could help healthcare management understand where resources should be prioritized.

Background Patients with substance use disorder (SUD) suffer from excess mortality compared to the overall population. This study aims to identify patterns in death rates among patients with SUD visiting a SUD emergency ward and to explore whether this knowledge can be used as input to identify patients at risk and increase patient safety. Methods Hospital visit data to a SUD emergency ward were collected between 2010 and 2020 through medical records. Data included gender, age, SUD diagnosis, and the time of death. The Kruskal-Wallis rank sum test was used to test between ordinal variables, and risk ratio was used to quantify the difference in mortality risk. All statistical tests were two-sided, with a 95% confidence interval and a minimum significance level of 0.05. Results The male patients in the study group had 1.41–1.59 higher mortality risk than the female patients. The study revealed an average death rate of 0.14 among all patients during the study period. Although patients with a diagnosed alcohol use disorder constituted 73.7% of the cohort, having an opioid use disorder or sedative hypnotics use disorder was associated with the highest death rates; 1.29–1.52 and 1.47–1.74 higher mortality risk than those without such diagnoses. Conclusion This study demonstrates that data from visits to SUD emergency wards can be used to identify mortality risk factors, such as gender, type of diagnosis, number of diagnoses, and number of visits to the SUD emergency ward. Knowledge about patterns of patient visits and mortality risk could be used to increase patient safety through a decision support tool integrated with the electronic medical records. An improved system for early detection of increased mortality risk offers an opportunity for an adaptive patient safety system.

Incident reports, as well as surveys, indicate that there is a risk of healthcare injuries when psychiatric patients are discharged from the hospital, with continued treatment as an outpatient. In this study, we are ultimately interested in the resilience of psychiatric care in this risky discharge, i.e. how the system adapts to cope with the risks. We understand that there are margins of maneuver in everyday psychiatric work, with several strategies potentially leading to acceptable performance and we seek to map the performance variability of such strategies. The aim of this study is to visualize retrospective discharge and compare findings of variability within the Stockholm Center of Dependency Disorder different wards. To understand what is "normal" from an organizational point of view, the study will analyze patterns from clinic visits where patients had been discharged with a follow-up visit between 2009 and 2018. This is a retrospective longitudinal correlation study with a strategic selection. Data consist of 71 125 anonymous quantified patients, who have been hospitalized and who, at the time with discharge, have been booked to a revisit as an outpatient. Results are compared between 81 different wards in Stockholm County. Results show that a significant amount (42%) of the patients do not visit the outward as planned by health care, but instead seek help from the emergency ward. Further, a variance in cancellation of the follow-up visit appear as an outcome for the data. Retrospective analysis of quantified data seems to be a valuable tool for widening the understanding of performance variability and could help healthcare management understand where resources should be prioritized. The results also show how patients themselves have, and use, adaptive capacities in order to navigate the system, and that this has consequences at higher system levels.