Absconding During Inpatient Care from a Tertiary Psychiatric Hospital: A Comparative Study

Prevalence and predictors of admission at the time of presentation in first episode psychosis

BACKGROUND

Individuals presenting with first episode psychosis (FEP) constitute a population with high admission rates. Across psychiatric services, community based treatment is aimed for where appropriate. Therefore, further knowledge on predictors of admission is required.

PURPOSE

The objectives were to: (i) determine the proportion of individuals with FEP admitted at time of presentation (voluntarily and involuntarily) (ii) identify associated demographic and clinical factors.

METHODS

This study included all young people (aged 15-24) who presented with FEP to the Early Psychosis Prevention and Intervention Centre, Melbourne, Australia from 01.01.11 to 31.12.16. Binary logistic regression was used to determine unadjusted and adjusted odds ratios.

RESULTS

Of 1208 participants, 58.6% were male and the median age was 20 years (I.Q.R.17-22). At time of presentation, 50.2% were admitted. On multivariate analysis, the following factors predicted admission: being a migrant (OR = 1.75, 95% CI [1.17, 2.62]), aggression (OR = 1.42, 95% CI [1.02, 1.99]), and more severe psychotic symptoms. Longer duration of untreated psychosis was associated with lower admission rates. 70.1% of admissions were involuntary (33.7% of the cohort). Risk factors for involuntary admission were consistent with any admission, other than aggression, and with the addition of older age and male sex.

CONCLUSION

There remains a high admission rate for FEP, even in an established early intervention service, with severity of psychopathology being the strongest predictive factor. There is an independent association between migrancy and admission. Potential reasons for these findings are discussed, and initiatives to reduce admission rates including (i) interventions to prevent admission and (ii) alternative care pathways.

Elopement: Evidence-based mitigation and management

BACKGROUND

Elopement jeopardizes patient safety, affects the hospital's reputation, and results in financial ramifications. In an academic community hospital, executive leadership approached a team of nurse leaders for expertise following the elopement of a vulnerable patient.

AIM OF THE INITIATIVE

The team's goal was to identify evidence-based strategies to mitigate future elopement events. Following an extensive literature review and gap analysis, the organization recognized opportunities pertaining to elopement management, including patient assessment, prevention strategies, and facility-wide response when events occur. The nurse leader team thoroughly searched current literature to answer the Population, Intervention, Comparison, and Outcome (i.e., PICO) questions of interest. Following a critical appraisal of 55 articles, 26 were utilized to make practice change recommendations. The body of evidence included a variety of age groups and diagnoses.

IMPLEMENTATION PLAN

After the synthesis of the literature, the team provided recommendations to the organization. These recommendations included the assessment of patient-specific risks and the implementation of elopement prevention measures as fundamental elements for incidence reduction. The team partnered with multidisciplinary stakeholders for the revision of policies, processes, and electronic medical record documentation.

OUTCOMES

The organization monitored elopement events and the duration of each event throughout the phases of implementation. Pre-implementation data, collected from January to June 2021, demonstrated 34 individual elopement cases lasting an average of 118 min each. In comparison, post-implementation data collected during the same time frame in 2022 found only 12 events lasting an average of 24 min each.

IMPLICATIONS FOR PRACTICE

The organization implemented evidence-based recommendations to standardize the facility's approach to elopement. With structured assessment, precautions, and response, the organization demonstrated a notable decline in the number and duration of elopement events. Hardwiring processes, analyzing data, and adjusting expectations within an evidence-based framework should assist the organization's drive to further enhance patient safety surrounding elopement events.

Absconding from a Psychiatric Hospital in a Developing Country, Related Factors, and the Consequences

Background

This study aimed to investigate the factors related to absconding and consequences of absconding in a psychiatric hospital in a developing country within 3 years.

Methods

This was a retrograde descriptive cross-sectional study from a psychiatry hospital in a developing country, Iran. The registered data of absconding between March 2018 and February 2021 were extracted. Furthermore, a retrograde follow-up by telephone on what happened after the absconding and the remembered motives was done. The obtained data were analyzed using SPSS statistical software for Windows Version 23 by descriptive statistics. The chi-square test, Fisher exact test, Student t test, or Mann-Whitney U tests were used for data analysis. P ˂ .05 was considered statistically significant.

Results

Out of 7069 admitted patients during a 36-month period, 51 (39 men and 12 women) had absconded. The total absconding rate was 0.72%. The mean ± (SD) age of the patients was 29.7 ± (10.46) years, with a range of 10 to 54 years. No statistical difference between men and women emerged in terms of age (P = 0.89). Most of the absconders were men (76%), young (mean age, 29.7 years), single (70.6%), and involuntarily hospitalized (78.4%) in an urban area (90.2%), and absconded in the evening shift (58.8%) via the route of the main gate (58.8%) in the early days of admission (5 days). In terms of psychiatric diagnosis, the highest rank belonged to bipolar disorder (33.33%) and substance-related disorders (33.33%). About one-third of absconders had a current substance-related problem and most of them had experienced withdrawal symptoms or cravings days before absconding (75%). Absconders mentioned that "no need for admission" (45.1%), "economic problems" (23.5%), and "substance craving" (13.7%) were the most common reasons for leaving the hospital. Most of the absconders were hospitalized later (70.5%). The risk for self-harm (21%) or harm to others (2%) after absconding was low.

Conclusion

The general profile of absconders was concordant with previous studies. It was highlighted that economic problems in recent years had an evident impact on patients and it could be postulated that consideration of substance withdrawal may decrease absconding. It is advised to adhere to the policies that support community-based psychiatry and place an emphasis on early discharge and continuity of outpatient care.

Incidents related to safety in mental health facilities in Kenya

BACKGROUND

Both patients and health care providers working in mental health facilities witness high rates of incidents that have the potential to jeopardize their safety. Despite this, there are few studies that have documented the kind of incidents that are experienced, or explored the potential contributors to these incidents, and solutions that would result in better safety. This study explored various types of safety related incidents occurring in mental facilities in Kenya, perceived contributing factors, and recommendations for improve.

METHODS

This qualitative descriptive study was carried out between December 2019 - February 2020. It included 28 mental health staff across 14 mental health unit spread across the country.

RESULTS

All the participants reported having personally experienced an incident that threatened their safety or that of the patients. Most of the respondents (24/26. 91.67%) admitted to have experienced verbal aggression while 54.17%, (n = 24) had experienced physical assault. Participating health care workers attributed the safety incidents to poor infrastructure, limited human resources, and inadequate medication to calm down agitated patients. Suggested solutions to improve patient safety included; improving surveillance systems, hiring more specialized healthcare workers, and provision of adequate supplies such as short-acting injectable psychotropic.

CONCLUSION

Incidents that threaten patient and staff safety are common in mental health facilities in Kenya. There is need to strengthen staff capacity and reporting mechanisms, as well as invest in infrastructural improvements, to safeguard patient and staff safety in mental health facilities in Kenya.

Escape and absconding among offenders with schizophrenia spectrum disorder - an explorative analysis of characteristics

BACKGROUND

Escape and absconding, especially in forensic settings, can have serious consequences for patients, staff and institutions. Several characteristics of affected patients could be identified so far, albeit based on heterogeneous patient populations, a limited number of possible factors and basal statistical analyses. The aim of this study was to determine the most important characteristics among a large number of possible variables and to describe the best statistical model using machine learning in a homogeneous group of offender patients with schizophrenia spectrum disorder.

METHODS

A database of 370 offender patients suffering from schizophrenia spectrum disorder and 507 possible predictor variables was explored by machine learning. To counteract overfitting, the database was divided into training and validation set and a nested validation procedure was used on the training set. The best model was tested on the validation set and the most important variables were extracted.

RESULTS

The final model resulted in a balanced accuracy of 71.1% (95% CI = [58.5, 83.1]) and an AUC of 0.75 (95% CI = [0.63, 0.87]). The variables identified as relevant and related to absconding/ escape listed from most important to least important were: more frequent forbidden intake of drugs during current hospitalization, more index offences, higher neuroleptic medication, more frequent rule breaking behavior during current hospitalization, higher PANSS Score at discharge, lower age at admission, more frequent dissocial behavior during current hospitalization, shorter time spent in current hospitalization and higher PANSS Score at admission.

CONCLUSIONS

For the first time a detailed statistical model could be built for this topic. The results indicate the presence of a particularly problematic subgroup within the group of offenders with schizophrenic spectrum disorder who also tend to escape or abscond. Early identification and tailored treatment of these patients could be of clinical benefit.