Involuntary admission of psychiatric patients: Referring physicians' perceptions of competence

Clinicians' experiences of caring for people brought in by police to the emergency department: A qualitative interpretive study

AIM

To explore nurses' and doctors' experiences of providing care to people brought in by police (BIBP) to the emergency department (ED).

DESIGN

A qualitative interpretive study using in-depth individual interviews.

METHODS

Semi-structured interviews were conducted with nurses and doctors who worked in various EDs in one Australian state and were involved in the care of people BIBP. Interviews were undertaken between May and October 2022 and focused on the structures (i.e., what), processes (i.e., how) and outcomes of care for people BIBP. Data were analysed using deductive and then inductive content analysis.

RESULTS

Nine nurses and eight doctors were interviewed. Structures described by participants included human structures (staff) and organizational structures (areas for assessment, involuntary assessment orders, investigations, chemical/physical restraints). For processes, participants described practices including risk/mental health assessments, legal considerations, and increased/decreased levels of care compared to other presentations. Communication processes were largely between police and health care staff. Service outcomes pertained to discharge location (custody, community, hospital admission) and length of stay.

CONCLUSION

The current care delivery for people BIBP to the ED is unique and complex, often occurring in high traffic, resource-intensive areas. There is a need to strengthen structures and processes, to improve service outcomes.

IMPLICATIONS FOR THE PROFESSION

Understanding the care requirements for people brought into ED by police enables the delivery of targeted care alongside appropriate resource allocation.

IMPACT

This study provides a comprehensive understanding of the health care requirements for people BIBP to EDs. Interventions delivered in the ED to support health care delivery for people BIBP and foster clinician and police relationships are required to optimize patient and health service outcomes.

REPORTING METHOD

This study adheres to the COREQ checklist (Table S1) of the EQUATOR guidelines.

PATIENT OR PUBLIC CONTRIBUTION

This study focused on ED staff experiences.

Predictors for early and long-term readmission in involuntarily admitted patients

BACKGROUND

It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper.

METHODS

A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (> 30 days) readmissions were examined using logistic regression modelling.

RESULTS

Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission.

CONCLUSIONS

To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support.

Predicting coercion during the course of psychiatric hospitalizations

BACKGROUND

Coercive measures (such as seclusion, mechanical restraint, and forced medication) during psychiatric inpatient treatment should be avoided whenever possible. Different interventions were already developed to reduce coercion, but for their effective application, it is crucial to know the risk factors of individuals and clinical situations that might be associated with coercion. Since the results of previous studies differ considerably the current study aims to fill this gap by evaluating the course of the exertion of coercion in detail.

METHODS

In this study, we analyzed clinical, procedural, and sociodemographic data from patients (n = 16,607 cases) who were treated as inpatients in Switzerland's largest psychiatric institution with 320 beds during the years 2017 to 2020. We used regression models to identify predictors for the exertion of coercion, the number of coercive measures during a treatment episode and time until exertion of the first and last coercive measure.

RESULTS

Coercive measures are mostly used during the first days of treatment. We identified clinical parameters such as manic or psychotic episodes to be the most relevant predictors for the exertion of coercion. Cases with those disorders also received coercion more often and earlier in their treatment course than other diagnostic groups. Other promoting factors for frequency and early application of coercion were involuntary admission and factors of chronicity and clinical severity.

CONCLUSIONS

Knowing the risk factors may help to target preventive strategies for those at highest risk. In particular, interventions should focus on the critical timeframe at the beginning of treatment.

Knowledge and attitude towards home treatment among referring healthcare professionals and self-referring patients to a psychiatric hospital: Better information is needed

BACKGROUND

Home treatment (HT) is a patient-centred and cost-effective alternative to acute psychiatric inpatient care. However, the progress of its implementation and utilisation in routine care is slow.

AIMS

The aim of this study was to examine the knowledge and attitude towards HT among healthcare professionals.

METHOD

This observational study included telephone-based semi-structured interviews of 140 referring healthcare professionals including 35 self-referring patients to a large psychiatric hospital in Switzerland during 6 months in 2020. We assessed their knowledge, attitude and experience with HT along with sociodemographic characteristics, professional background and the intention for the referral. We completed the interviews with routine medical data of the referred patients such as diagnoses or symptom severity.

RESULTS

Regarding referrals for inpatient treatment (involuntary and voluntary), half of the referring healthcare professionals and 80% of the self-referring patients had no prior experience or knowledge of HT. Knowledge of HT differed in the order of the participants' working places. We found that most participants were uncertain about the inclusion/exclusion criteria for HT. Despite the low levels of knowledge, attitudes towards HT were overall positive.

CONCLUSIONS

Our results indicate that a proportion of the patients referred for inpatient treatment might have been eligible for HT too. The referring healthcare professionals' and patients' unfamiliarity and uncertainty with HT seems to be an important reason that home-based treatment approaches are still underused, although they are viewed very positively. Besides providing more information to potential referring health professionals, psychiatric hospitals should always carry out a standardized evaluation if HT is an option in patients who are referred for inpatient treatment.

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Background

Coercion in psychiatry is a controversial issue. Identifying its predictors and their interaction using traditional statistical methods is difficult, given the large number of variables involved. The purpose of this study was to use machine-learning (ML) models to identify socio-demographic, clinical and procedural characteristics that predict the use of compulsory admission on a large sample of psychiatric patients.

Methods

We retrospectively analyzed the routinely collected data of all psychiatric admissions that occurred between 2013 and 2017 in the canton of Vaud, Switzerland (N = 25,584). The main predictors of involuntary hospitalization were identified using two ML algorithms: Classification and Regression Tree (CART) and Random Forests (RFs). Their predictive power was compared with that obtained through traditional logistic regression. Sensitivity analyses were also performed and missing data were imputed through multiple imputation using chain equations.

Results

The three models achieved similar predictive balanced accuracy, ranging between 68 and 72%. CART showed the lowest predictive power (68%) but the most parsimonious model, allowing to estimate the probability of being involuntarily admitted with only three checks: aggressive behaviors, who referred the patient to hospital and primary diagnosis. The results of CART and RFs on the imputed data were almost identical to those obtained on the original data, confirming the robustness of our models.

Conclusions

Identifying predictors of coercion is essential to efficiently target the development of professional training, preventive strategies and alternative interventions. ML methodologies could offer new effective tools to achieve this goal, providing accurate but simple models that could be used in clinical practice.

Psychiatric Emergencies in the Community: Characteristics and Outcome in Switzerland

Psychiatric emergencies occur frequently in the community setting, e.g. the patient's home or public places. Little is known about the characteristics and outcome of these situations. This study describes psychiatric emergencies in the canton of Zurich, Switzerland, and examines determinants of their outcome. We retrospectively analyzed 620 medical records of consultations classified as psychiatric emergencies of a 24/7 service of community-based emergency physicians. Information on sociodemographic, clinical and situational factors was extracted. The observation period was 6 months in 2017. Binary logistic regression was used to examine predictors for involuntary admissions. Most emergency consultations (64.5%) took place at the patient's home, followed by police stations (31.0%), public places (3.2%), and somatic hospitals (1.3%). Patient characteristics and reasons for consultation varied considerably between the locations. The first involved person was commonly a relative. Of all consultations, 38.4% resulted in involuntary admissions, mainly in patients with psychosis, suicidality, aggression, refusal of necessary treatment and previous involuntary admissions. Situation-related factors and the involvement of relatives were no significant predictors of the outcome. Psychiatric emergencies occur in different places and in patients with a variety of psychiatric symptoms. Although half of the emergency situations were resolved in the community, the rate of involuntary admissions was still high. For additional reduction, the further development of quickly available alternatives to psychiatric inpatient treatment is required. These should be specifically geared towards acute situations in patients with the described risk factors. Additionally, the role of relatives during psychiatric emergencies should be further studied.