Understanding Design Vulnerabilities in the Physical Environment Relating to Patient Fall Patterns in a Psychiatric Hospital: Seven Years of Sentinel Events

Patient Falls in Seclusion Rooms in Psychiatric Inpatient Care: A Sociotechnical Probabilistic Risk Modeling Study

BACKGROUND

Patient falls are a major adverse event in psychiatric inpatient care.

PURPOSE

To model the risk for patient falls in seclusion rooms in psychiatric inpatient care.

METHODS

Sociotechnical probabilistic risk assessment (ST-PRA) was used to model the risk for falls. Data sources were the research team, literature review, and exploration groups of psychiatric nurses. Data were analyzed with fault tree analysis.

RESULTS

The risk for a patient fall in a seclusion room was 1.8%. Critical paths included diagnosis of a psychiatric disorder, the mechanism of falls, failure to assess and prevent falls, and psychological or physical reason. The most significant individual risk factor for falls was diagnosis of schizophrenia.

CONCLUSIONS

Falls that occur in seclusion events are associated with physical and psychological risk factors. Therefore, risk assessment methods and fall prevention interventions considering patient behavioral disturbance and physiological risk factors in seclusion are warranted.

Patient Safety Strategies in Psychiatry and How They Construct the Notion of Preventable Harm: A Scoping Review

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.

Study on Collision Detection Techniques for the Informed Design of Natural Views in Healthcare Environments

BACKGROUND

Natural views are an important design strategy for the application of ecological resources in built environments. Numerous clinical studies have indicated that views of nature-for example, plants-can effectively promote patient recovery by relieving their postoperative pains and negative emotions during hospitalization.

AIMS

This study demonstrates an intelligent method that develops algorithms of using collision detection techniques in Building Information Modeling to evaluate outdoor plant visibility for patients.

METHODS

These algorithms are digitized into a Revit plug-in program, which can be viewed as a design-aided tool for architects with the purpose of informing healthcare environment design in the decision-making process.

RESULTS

Its acceptability and effectiveness are evaluated based on the consultations in beta tests.

CONCLUSIONS

It is believed that this method can improve the work efficiency of evaluating natural views in wards and help architects implement an informed design of built environments for better health performance. All findings in this study can contribute to the development of computational intelligence and social sustainability in the near future.

Patient Falls and Injuries in U.S. Psychiatric Care: Incidence and Trends

OBJECTIVE

The goal of this study was to estimate the incidence of falls (total, injurious, and assisted) in U.S. psychiatric care across 6 years (April 2013-March 2019).

METHODS

Data on falls among patients of adult and geriatric psychiatric units of general, acute care, and psychiatric hospital inpatient units from the National Database of Nursing Quality Indicators were used for this 6-year study. Total falls, assisted falls (i.e., falls broken or slowed by staff), and injurious falls were calculated, along with trends in total and injurious fall rates.

RESULTS

The sample included 1,159 units in 720 hospitals. Of the 119,246 falls reported, 25,807 (21.6%) resulted in injury. Only 7.0% of the total falls in psychiatric units were assisted by a staff member. Falling unassisted was associated with a higher likelihood of fall-related injury (adjusted odds ratio=1.69, 95% confidence interval=1.59 to 1.80). The total fall rate (8.55 per 1,000 patient-days) and injurious fall rate (1.97 per 1,000 patient-days) were highest for geriatric psychiatric units in general hospitals. Total and injurious fall rates in psychiatric units in general hospitals declined during the study (total fall rate declined by 10% for adult psychiatric units in general hospitals). There was no clear trend in total or injurious fall rates for units in psychiatric hospitals.

CONCLUSIONS

Falls are a persistent problem in psychiatric care settings. Few fall-prevention programs have been tested in these settings, which have unique risk factors for falls. Additional research is needed to develop fall-prevention interventions in psychiatric care.

Advancing evidence-based healthcare facility design: a systematic literature review

Healthcare facility design is a complex process that brings together diverse stakeholders and ideally aligns operational, environmental, experiential, clinical, and organizational objectives. The challenges inherent in facility design arise from the dynamic and complex nature of healthcare itself, and the growing accountability to the quadruple aims of enhancing patient experience, improving population health, reducing costs, and improving staff work life. Many healthcare systems and design practitioners are adopting an evidence-based approach to facility design, defined broadly as basing decisions about the built environment on credible and rigorous research and linking facility design to quality outcomes. Studies focused on architectural options and concepts in the evidence-based design literature have largely employed observation, surveys, post-occupancy study, space syntax analysis, or have been retrospective in nature. Fewer studies have explored layout optimization frameworks, healthcare layout modeling, applications of artificial intelligence, and layout robustness. These operations research/operations management approaches are highly valuable methods to inform healthcare facility design process in its earliest stages and measure performance in quantitative terms, yet they are currently underutilized. A primary objective of this paper is to begin to bridge this gap. This systematic review summarizes 65 evidence-based research studies related to facility layout and planning concepts published from 2008 through 2018, and categorizes them by methodology, area of focus, typology, and metrics of interest. The review identifies gaps in the existing literature and proposes solutions to advance evidence-based healthcare facility design. This work is the first of its kind to review the facility design literature across the disciplines of evidence-based healthcare design research, healthcare systems engineering, and operations research/operations management. The review suggests areas for future study that will enhance evidence-based healthcare facility designs through the integration of operations research and management science methods.