Clinical pathways for suicidality in emergency settings: a public health priority

Mapping clinical interactions in an Australian tertiary hospital emergency department for patients presenting with risk of suicide or self-harm: Network modeling from observational data

BACKGROUND

Reliable assessment of suicide and self-harm risk in emergency medicine is critical for effective intervention and treatment of patients affected by mental health disorders. Teams of clinicians face the challenge of rapidly integrating medical history, wide-ranging psychosocial factors, and real-time patient observations to inform diagnosis, treatment, and referral decisions. Patient outcomes therefore depend on the reliable flow of information through networks of clinical staff and information systems. This study aimed to develop a quantitative data-driven research framework for the analysis of information flow in emergency healthcare settings to evaluate clinical practice and operational models for emergency psychiatric care.

METHODS AND FINDINGS

We deployed 2 observers in a tertiary hospital emergency department during 2018 for a total of 118.5 h to record clinical interactions along patient trajectories for presentations with risk of self-harm or suicide (n = 272 interactions for n = 43 patient trajectories). The study population was reflective of a naturalistic sample of patients presenting to a tertiary emergency department in a metropolitan Australian city. Using the observational data, we constructed a clinical interaction network to model the flow of clinical information at a systems level. Community detection via modularity maximization revealed communities in the network closely aligned with the underlying clinical team structure. The Psychiatric Liaison Nurse (PLN) was identified as the most important agent in the network as quantified by node degree, closeness centrality, and betweenness centrality. Betweenness centrality of the PLN was significantly higher than expected by chance (>95th percentile compared with randomly shuffled networks) and removing the PLN from the network reduced both the global efficiency of the model and the closeness centrality of all doctors. This indicated a potential vulnerability in the system that could negatively impact patient care if the function of the PLN was compromised. We developed an algorithmic strategy to mitigate this risk by targeted strengthening of links between clinical teams using greedy cumulative addition of network edges in the model. Finally, we identified specific interactions along patient trajectories which were most likely to precipitate a psychiatric referral using a machine learning model trained on features from dynamically constructed clinical interaction networks. The main limitation of this study is the use of nonclinical information only (i.e., modeling is based on timing of interactions and agents involved, but not the content or quantity of information transferred during interactions).

CONCLUSIONS

This study demonstrates a data-driven research framework, new to the best of our knowledge, to assess and reinforce important information pathways that guide clinical decision processes and provide complementary insights for improving clinical practice and operational models in emergency medicine for patients at risk of suicide or self-harm. Our findings suggest that PLNs can play a crucial role in clinical communication, but overreliance on PLNs may pose risks to reliable information flow. Operational models that utilize PLNs may be made more robust to these risks by improving interdisciplinary communication between doctors. Our research framework could also be applied more broadly to investigate service delivery in different healthcare settings or for other medical specialties, patient groups, or demographics.

Months of May: Mental health presentations and the impact of a psychiatric emergency care centre on an inner-city emergency department

OBJECTIVES

The impact of psychiatric emergency care centres (PECCs) on ED mental health (MH) presentations has not been presented. We aim to compare demographics, diagnosis and admission frequency of patients presenting to an inner-city ED with MH complaints, before and for several years after the opening of a PECC.

METHODS

We collected ED patient data for the first 200 'mental health' presentations during the month of May in 2005-2007, and 2015-2017. Data included demographics, diagnosis, post-ED disposition, length of stay in ED, use of the Mental Health Act, and the presence of expressed suicidality and psychotic disorders.

RESULTS

The days to reach 200 MH presentations decreased from 43 days in 2005 to 17 days in 2017. The mean length of ED stay approximately halved with PECC's introduction, with 20% of patients being admitted to PECC. Prior to PECC, 75% of suicidal patients were discharged from ED; after the opening of PECC, 84% of patients expressing suicidality were admitted to PECC; and 73% of patients admitted with psychotic symptoms went to the acute psychiatric ward.

CONCLUSIONS

Between 2005 and 2017, MH presentations to ED became significantly more frequent. The opening of PECC reduced length of stay in ED and provided an admission trajectory for patients expressing suicidality, while retaining the pathway to the acute psychiatric ward for those patients presenting with psychosis.

Development of a Clinical Pathway for the Assessment and Management of Suicidality on a Pediatric Psychiatric Inpatient Unit

Purpose

This article describes steps taken by a mental health inpatient multidisciplinary team to develop a clinical pathway for the assessment and management of suicidality in a pediatric psychiatric inpatient unit.

Patients and Methods

The setting for this project is a 19-bed inpatient psychiatry unit providing care for children and adolescents (6-17 years of age) in a tertiary care pediatric hospital in Ontario, Canada. Three Lean methodologies were used: 1) The A3 process was used to articulate a problem statement and help clarify expectations, determine goals, and uncover, address and encourage discussion of potential issues; 2) Process mapping was used to show how work process activities are sequenced from the time of the patient's admission to discharge; and 3) Standard work, where consideration was given to the breakdown of the work into categories which are sequenced, organized and repeatedly followed. Generally accepted methodologies for developing clinical pathways were used to create a framework and algorithm for the assessment and management of suicidality in psychiatrically hospitalized children and adolescents.

Results

The clinical pathway development resulted in six steps from admission to discharge: intake process, inclusion/exclusion criteria, data integration and treatment formulation, interventions, determination of readiness for discharge, and the discharge process.

Conclusion

This framework, developed with the aim to standardize care for psychiatrically admitted suicidal children and adolescents, may serve as a flexible template for use in similar settings and could be adapted according to local realities and resources.