Predictors of Compulsory Re-admission to Psychiatric Inpatient Care

Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations

This research addresses the critical issue of identifying factors contributing to admissions to acute mental health (MH) wards for individuals presenting to the emergency department (ED) with MH concerns as their primary issue, notably suicidality. This study aims to leverage machine learning (ML) models to assess the likelihood of admission to acute MH wards for this vulnerable population. Data collection for this study used existing ED data from 1 January 2016 to 31 December 2021. Data selection was based on specific criteria related to the presenting problem. Analysis was conducted using Python and the Interpretable Machine Learning (InterpretML) machine learning library. InterpretML calculates overall importance based on the mean absolute score, which was used to measure the impact of each feature on admission. A person's 'Age' and 'Triage category' are ranked significantly higher than 'Facility identifier', 'Presenting problem' and 'Active Client'. The contribution of other presentation features on admission shows a minimal effect. Aligning the models closely with service delivery will help services understand their service users and provide insight into financial and clinical variations. Suicidal ideation negatively correlates to admission yet represents the largest number of presentations. The nurse's role at triage is a critical factor in assessing the needs of the presenting individual. The gap that emerges in this context is significant; MH triage requires a complex understanding of MH and presents a significant challenge in the ED. Further research is required to explore the role that ML can provide in assisting clinicians in assessment.

Suicide-preventive compulsory admission is not a proportionate measure - time for clinicians to recognise the associated risks

Suicide is considered a global public health issue and compulsory admission is a commonly used measure to prevent suicide. However, the practice has been criticised since several studies indicate that the measure lacks empirical support and may even increase suicide risk. This paper investigates whether the practice has enough empirical support to be considered proportionate. To that end, arguments supporting compulsory admission as a suicide-preventive measure for most suicidal patients are scrutinized. The ethical point of departure is that the expected benefits of compulsory admission should outweigh the potential harms of the measure to be proportionate and defensible. It is concluded that, for most suicidal patients, suicide-preventive compulsory admission cannot be presumed to be a proportionate measure. To be so, the expected medical benefits of the measure should be greater than the potential increase in suicide risk and other harms that compulsory admission could entail. Instead of using compulsory admission as a suicide-preventive measure, extra safety measures may be needed during and after compulsory admission to prevent the risk of hospitalisation-induced suicide.

Who is coercively admitted to psychiatric wards? Epidemiological analysis of inpatient records of involuntary psychiatric admissions to a University General Hospital in Greece for the years 2008-2017

BACKGROUND

Involuntary psychiatric admissions are a widely used practice despite ethical concerns about coercion. There are particular concerns that vulnerable groups, such as single, unemployed or racial minorities, may be more subjected to such practices.

AIM

We aimed to investigate the social patterns of involuntary psychiatric admissions from 2008 to 2017 at University General Hospital in Ioannina, Greece.

METHOD

We retrospectively assessed inpatient records from 2008 to 2017 of patients admitted to the Department of Psychiatry of the Ioannina University General Hospital, Northwestern Greece. Alternative patients of alternative years were selected for inclusion; this yielded 332 patients involuntarily admitted, corresponding to 28.5% of total involuntary psychiatric admissions.

RESULTS

Over the 10-year period, the overall numbers of annual involuntary psychiatric admissions remained relatively stable, as did the length of hospital stay (mean = 23.8 days). The most common disorder upon admission was schizophrenia spectrum disorders, accounting for approximately two-thirds of all admissions, followed by mood disorders (about 20%). There was evidence that people who lacked social support or experienced financial hardship were more greatly represented among those admitted: 70.2% of admitted patients were single and 64.8% were unemployed. Most patients had been admitted to the psychiatric ward in the past (64.2%).

CONCLUSION

Our study indicates potentially worrisome evidence that patients who are in vulnerable positions are at elevated likelihood of being involuntarily admitted to psychiatric wards. Future research is needed to evaluate the socio-demographic patterning of involuntary admissions in other European countries.

Compulsory psychiatric admissions in the canton of Basel-Stadt between September 2013 and April 2022: Analysis of the cantonal database of the Health Department of Basel-Stadt

BACKGROUND

According to federal and cantonal law, persons with an acute mental illness can be admitted to a psychiatric hospital or another suitable institution against their will, when other therapeutic options are not available or have been exhausted. In the canton of Basel-Stadt, this is the responsibility of public health officers employed by the division of Social Medicine of the cantonal Health Department.

AIMS

This study aims to elucidate which factors influence the decision-making of public health officers regarding compulsory admissions over the period from September 2013 to April 2022 in the canton of Basel-Stadt.

METHOD

Leveraging comprehensive clinical data from the health department of the canton Basel-Stadt (N = 5,'550), we estimated a mixed effects logistic regression model to identify factors contributing to the decision of public-health officers to compulsorily admit patients, while controlling for potential clustering effects among public health officers.

RESULTS

The risk for compulsory admissions was most strongly predicted by the presence of potential self-harm. In comparison, while being a strong predictor, potential harm to others played a considerably lesser role. Furthermore, psychiatric syndrome, previous compulsory admissions, and the specific context of evaluation were significant predictors. Finally, we found no meaningful personal bias among public health officers.

CONCLUSION

The results suggest that public health officers' decision-making regarding compulsory admissions focuses on preventing self-harm and, to a lesser degree, harm to others. This indicates that such measures are only used as a measure of last resort, which is in line with current evidence regarding the detrimental effects of compulsory measures on treatment outcomes in psychiatry. Our findings suggest that all relevant stakeholders, including the police, share this perspective. Decision-making regarding compulsory admissions was mostly free of personal biases, suggesting adherence to shared professional standards by public health officers.

Influence of eating disorder psychopathology and general psychopathology on the risk of involuntary treatment in anorexia nervosa

PURPOSE

We explored associations between clinical factors, including eating disorder psychopathology and more general psychopathology, and involuntary treatment in patients with anorexia nervosa. Our intention was to inform identification of patients at risk of involuntary treatment.

METHODS

This was a retrospective cohort study combining clinical data from a specialized eating disorder hospital unit in Denmark with nationwide Danish register-based data. A sequential methodology yielding two samples (212 and 278 patients, respectively) was adopted. Descriptive statistics and regression analyses were used to explore associations between involuntary treatment and clinical factors including previous involuntary treatment, patient cooperation, and symptom-level psychopathology (Eating Disorder Inventory-2 (EDI-2) and Symptom Checklist-90-Revised (SCL-90-R)).

RESULTS

Somatization (SCL-90-R) (OR = 2.60, 95% CI 1.16-5.81) and phobic anxiety (SCL-90-R) (OR = 0.43, 95% CI 0.19-0.97) were positively and negatively, respectively, associated with the likelihood of involuntary treatment. Furthermore, somatization (HR = 1.77, 95% CI 1.05-2.99), previous involuntary treatment (HR = 5.0, 95% CI 2.68-9.32), and neutral (HR = 2.92, 95% CI 1.20-7.13) or poor (HR = 3.97, 95% CI 1.49-10.59) patient cooperation were associated with decreased time to involuntary treatment. Eating disorder psychopathology measured by the EDI-2 was not significantly associated with involuntary treatment.

CONCLUSIONS

Clinical questionnaires of psychopathology appear to capture specific domains relevant to involuntary treatment. Poor patient cooperation and previous involuntary treatment being associated with shorter time to involuntary treatment raise important clinical issues requiring attention. Novel approaches to acute anorexia nervosa care along with unbiased evaluation upon readmission could mitigate the cycle of repeat admissions with involuntary treatment.

LEVEL OF EVIDENCE

Level III, cohort study.

Outcome of Voluntary vs Involuntary Admissions in Greece over 2 years after Discharge: A Cohort Study in the Psychiatric Hospital of Attica "Dafni"

The increasing rates of involuntary hospitalization constitute a major ethical issue in psychiatric practice. The present cohort study endeavours to investigate the relationship between patients' legal status (involuntary vs voluntary) and the outcome of their hospitalization, over 2 years after discharge. All individuals admitted in the 3rd Psychiatric Department of the Psychiatric Hospital of Attica during February 2015-February 2017 took part in the study. 64.7% of patients were compulsory admitted. Findings indicate a statistically significant improvement in global functioning and symptomatology levels from admission to discharge for all treated patients, independently of their legal status. However, readmission rates over 2 years after discharge were high (34.8% vs. 21.9% in voluntary and involuntary patients, respectively). In conclusion, psychiatric admission, irrespectively of legal status leads to clinical improvement.

Impact of Compulsory Admission on Treatment and Outcome: A Propensity Score Matched Analysis

Background

Despite multiple ethical issues and little evidence of their efficacy, compulsory admission and treatment are still common psychiatric practice. Therefore, we aimed to assess potential differences in treatment and outcome between voluntarily and compulsorily admitted patients.

Methods

We extracted clinical data from inpatients treated in an academic hospital in Zurich, Switzerland between January 1, 2013 and December 31, 2019. Observation time started upon the first admission and ended after a one-year follow-up after the last discharge. Several sociodemographic and clinical characteristics, including Health of the Nation Outcome Scales (HoNOS) scores, were retrospectively obtained. We then identified risk factors of compulsory admission using logistic regression in order to perform a widely balanced propensity score matching. Altogether, we compared 4,570 compulsorily and 4,570 voluntarily admitted propensity score-matched patients. Multiple differences between these groups concerning received treatment, coercive measures, clinical parameters, and service use outcomes were detected.

Results

Upon discharge, compulsorily admitted patients reached a similar HoNOS sum score in a significantly shorter duration of treatment. They were more often admitted for crisis interventions, were prescribed less pharmacologic treatment, and received fewer therapies. During the follow-up, voluntarily admitted patients were readmitted more often, while the time to readmission did not differ.

Conclusions

Under narrowly set circumstances, compulsory admissions might be helpful to avert and relieve exacerbations of severe psychiatric disorders.

Time to readmission in psychiatric inpatients with a therapeutic leave

AIMS

Interventions to decrease readmissions in psychiatric patients are urgently needed. In Switzerland therapeutic leave (TL) composes a cornerstone of inpatient treatment. TL is a planned time-limited absence from the inpatient ward giving patients the opportunity to test their resilience in their usual environment. Evidence of its applicability as an intervention reducing readmissions is lacking. Therefore, our objective was to examine the association between TL and readmission risk.

METHODS

Using the Kaplan-Meier curve we compared the time to readmission of 3'302 inpatients at the UPK Basel with and without TL. Cox regression was applied, integrating other covariates associated with readmission.

RESULTS

The Kaplan-Meier curve indicated longer cumulative survival in patients with TL. The log-rank test implied statistical significance (χ²(1) = 18.8, p < .05). The Cox regression showed a reduced hazard for patients with TL (HR = 0.735, CI 95% = [0.639, 0.846], p < .001) and for involuntarily hospitalized patients (HR = 0.760, CI 95% = [0.618, 0.934], p < .01). A higher readmission risk was found for a history of psychiatric admissions (HR = 1.005, CI 95% = [1.004, 1.005], p < .001), higher severity of symptoms at admission (HR = 1.029, CI 95% = [1.018, 1.040], p < .001), comorbidity (HR = 1.178, CI 95% [1.024, 1.355], p = .022), and a diagnosis with schizophrenia-spectrum disorders (HR = 1.401, CI 95% [1.164, 1.687], p = .001).

CONCLUSION

Linking TL with readmission risk, our results imply an easy way to improve quality of care, with possible implications for practice, policies and quality interventions. TL might be suitable to enhance recovery, reduce readmissions and health care costs. RCTs are needed for validation.

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.

Structure and predictors of in-hospital nursing care leading to reduction in early readmission among patients with schizophrenia in Japan: A cross-sectional study

Schizophrenia is a disorder characterized by psychotic relapses. Globally, about 15%-30% of patients with schizophrenia discharged from inpatient psychiatric admissions are readmitted within 90 days due to exacerbation of symptoms that leads to self-harm, harm to others, or self-neglect. The purpose of this study was to investigate the structure and predictors of in-hospital nursing care leading to reduction in early readmission among patients with schizophrenia. A new questionnaire was developed to assess the extent to which respondents delivered in-hospital nursing care leading to reduction in early readmission among patients with schizophrenia. This study adopted a cross-sectional research design. The survey was conducted with the new questionnaires. The participants were registered nurses working in psychiatric wards. Item analyses and exploratory factor analyses were performed using the new questionnaires to investigate the structure of in-hospital nursing care leading to reduction in early readmission. Stepwise regression analyses were conducted to examine the factors predicting in-hospital nursing care leading to reduction in early readmission. Data were collected from 724 registered nurses in Japan. In-hospital nursing care leading to reduction in early readmission was found to consist of five factors: promoting cognitive functioning and self-care, identifying reasons for readmission, establishing cooperative systems within the community, sharing goals about community life, and creating restful spaces. In-hospital nursing care leading to reduction in early readmission was predicted by the following variables: the score on the nursing excellence scale in clinical practice, the score on therapeutic hold, and the participation of community care providers in pre-discharge conferences. Japanese psychiatric nurses provide nursing care based on these five factors leading to reduction in early readmission. Such nursing care would be facilitated by not only nurses' excellence but also nurses' environmental factors, especially the therapeutic climate of the ward and the participation of community care providers in pre-discharge conferences.

Risk factors for repeated emergency compulsory psychiatric admissions

BACKGROUND

The characteristics of patients who have repeated compulsory psychiatric admissions are largely unknown.

AIMS

To investigate the frequency and risk factors for repeated emergency compulsory psychiatric admission (ECPA); and to identify targets for interventions to reduce repeated ECPA.

METHOD

Data were collected from a database of electronic patient files (EPFs) held by three psychiatric emergency services (PES) in the Netherlands. Analyses were based on the data for adult patients (aged 18-75 years) with a first PES contact in 2010-2015. Using descriptive statistics and regression analysis, we studied the associations between baseline patient factors and repeated ECPA and time to readmission, within a 2-year follow-up period.

RESULTS

We included 6059 patients: 15.6% had two or more ECPAs. In total, 66% of second ECPAs had occurred within 6 months of the first. About 30% of all ECPAs were repeated ECPAs. Two baseline factors were associated with a higher frequency of a second ECPA: history of receiving any mental healthcare treatment, whether in-patient or out-patient or both, and a lower level of self-care. Three were associated with a lower frequency: ethnicity (other than Dutch), older age and suicidality. Lower Global Assessment of Functioning (GAF) scores and housing problems were associated with a shorter time to compulsory readmission and persistent psychiatric problems with a longer time to compulsory readmission.

CONCLUSIONS

We found that 15.6% of patients had two or more ECPAs. Two-thirds of the second ECPAs had occurred within 6 months of the first. Like earlier studies, the risk factors we identified suggest that interventions to reduce the risk of repeated compulsory psychiatric admission should seek to improve self-care, general daily functioning and homelessness.

Virtual Reality Cognitive Therapy in Inpatient Psychiatric Wards: Protocol for a Qualitative Investigation of Staff and Patient Views Across Multiple National Health Service Sites

BACKGROUND

Patients in psychiatric wards typically have very limited access to individual psychological therapy. Inpatients often have significant time available, and an important transition back to everyday life to prepare for-but historically, there have been few trained therapists available on wards for the delivery of evidence-based therapy. Automated virtual reality (VR) therapy may be one route to increase the provision of powerful psychological treatments in psychiatric hospitals. The gameChange automated VR cognitive therapy is targeted at helping patients overcome anxious avoidance and re-engage in everyday situations (such as walking down the street, taking a bus, or going to a shop). This treatment target may fit well for many patients preparing for discharge. However, little is known about how VR therapy may be viewed in this setting.

OBJECTIVE

The objectives of the study are to explore psychiatric hospital staff and patients' initial expectations of VR therapy, to gather patient and staff views of an automated VR cognitive therapy (gameChange) after briefly experiencing it, and to identify potential differences across National Health Service (NHS) mental health trusts for implementation. Guided by an implementation framework, the knowledge gained from this study will be used to assess the feasibility of VR treatment adoption into psychiatric hospitals.

METHODS

Focus groups will be conducted with NHS staff and patients in acute psychiatric wards at 5 NHS mental health trusts across England. Staff and patients will be interviewed in separate groups. Individual interviews will also be conducted when preferred by a participant. Within each of the 5 trusts, 1 to 2 wards will be visited. A total of 8-15 staff and patients per ward will be recruited, with a minimum total of 50 staff and patients recruited across all sites. Focus group questions have been derived from the nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability (NASSS) framework. Focus groups will discuss expectations of VR therapy before participants are given the opportunity to briefly try the gameChange VR therapy. Questions will then focus on opinions about the therapy and investigate feasibility of adoption, with particular consideration given to site specific issues. A thematic analysis will be conducted.

RESULTS

As of May 15, 2020, 1 patient focus group has been conducted.

CONCLUSIONS

The study will provide unique insight from patients and staff into the potential for implementing automated VR therapy in psychiatric wards. Perspectives will be captured both on the use of immersive technology hardware and therapy-specific issues in such settings.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/20300.

Compulsory admissions and preferences in decision-making in patients with psychotic and bipolar disorders

PURPOSE

Participation in medical decisions and taking into account patients' values and preferences are especially important for psychiatric patients who may be treated against their will. The increasing rates of coercive measures and the underlying clinical, ethical, and legal issues highlight the need to examine their use in psychiatry. Although limited congruence in decision-making preferences may be on the basis of these coercive practices, this issue has not been adequately addressed. We explore the relationship between compulsory admissions and congruence in decision-making preferences in mental health settings.

METHODS

Cross-sectional study among 107 outpatients with DSM diagnoses of schizophrenia of bipolar disorder using the Control Preference Scale to assess congruence in decision-making experienced and preferred style. History of compulsory admissions was obtained through review of available records. Descriptive statistics and multivariate analyses were used.

RESULTS

70% of patients reported experiencing their preferred style of decision-making and 44% patients had history of compulsory admissions. These patients were more autonomous and preferred to take a more active role. The degree of congruence was lower in patients with previous compulsory admissions. The best predictors of compulsory admissions were not having a regular doctor and the unmatched participation preferences.

CONCLUSIONS

Patients who experienced a different level of participation in decision-making than desired more frequently had compulsory admissions. We propose to assess participation preferences each time a relevant treatment decision is about to be made and tailor care accordingly. We identified several factors leading to compulsory admissions that can be modified to prevent further coercive measures.

Propensity to decide on involuntary hospitalisation in primary medical care: Dispositional or situational determinants?

BACKGROUND

The incidence of involuntary hospitalisations varies widely among and within countries. One factor that could account for these variations is the local profile of medical doctors deciding on involuntary admissions. The first goal of this study was to test whether to decide on an involuntary hospitalisation was an individual or a situational disposition. The second goal was to explore doctors' characteristics associated with the use of coercion in specific situations.

METHOD

Medical doctors of four French-speaking Swiss cantons with the competence, according to cantonal laws, to decide on an involuntary hospitalisation were invited to take part in an online survey. Respondents were asked whether they would decide on an involuntary hospitalisation or not in seven clinical vignettes. Propensity to decide on involuntary hospitalisation was estimated with a two-parameter logistic item response model and latent class analysis. Univariate logistic regression models were used to test whether individual factors were associated with the use of coercion in each situation.

RESULTS

192 medical doctors completed the online questionnaire. There was near-zero correlation between vignettes: an involuntary hospitalisation decided on by a doctor in one situation was not related to the use of coercion in another. No subgroup was more prone to generally resort to coercion. However, some individual characteristics were related to the use of coercion in specific situations.

CONCLUSIONS

Medical doctors' propensity to use coercion for mental health problems was better accounted for by situational rather than dispositional factors. Thus, the use of coercion should be examined as a multidimensional concept.