Association of Psychiatric Services Referral and Attendance Following Treatment for Deliberate Self-harm With Prospective Mortality in Norwegian Patients

Psychiatric follow-up and repeated hospital presentation of DSH: A national study on young adults

INTRODUCTION

Psychiatric care following discharge from general hospital treatment of deliberate self-harm (DSH) is important to reduce patients´ risk of relapse. Whether such follow-up is associated with DSH repetition in young adults is not sufficiently understood. This study examined the association between psychiatric service attendance within seven days of discharge and repeated hospital-presented DSH within 3, 6, and 12 months in patients aged 18-35 years.

METHODS

Incident episodes of hospital-presented DSH from 2010 to 2017 were identified from the Norwegian Patient Register. Those already psychiatrically admitted or who died during the general hospital or in the seven days after discharge were excluded. Psychiatric service attendance was categorized as 'no attendance', 'outpatient attendance', and 'inpatient admissions.' The association between psychiatric service attendance and subsequent DSH repetition was examined with an Inverse Probability of Treatment Weighted logistic regression model.

RESULTS

Of the 11,308 patients identified, 17.3 % had a psychiatric outpatient attendance, and 19.9 % had an inpatient admission. Outpatient attendance was not associated with a reduced risk of repeated DSH and inpatient admissions were associated with an increased risk in certain subgroups, notably patients: aged 18-24 years; without a recorded mood disorder diagnosis; or no history of hospital-treated DSH.

LIMITATIONS

Our data did not contain all relevant confounders. Unmeasured confounding is therefore likely to influence the results.

CONCLUSION

Although no conclusions regarding treatment effectiveness can be drawn from these findings, the study highlights that patients with the most severe psychiatric symptoms and at the highest risk of DSH relapse received follow-up.

Client-reported impact of the Attempted Suicide Short Intervention Program

BACKGROUND

A history of attempted suicide is the most significant predictor of suicidal death. Several brief interventions aimed at tertiary suicide prevention have been investigated in clinical trials. However, suicide attempt survivors' experiences of such interventions have rarely been reported.

OBJECTIVE

To explore how suicide attempt survivors perceive the impact of the Attempted Suicide Short Intervention Program (ASSIP).

METHOD

We interviewed 14 Finnish adults who had received ASSIP as an adjunct to treatment as usual. Semi-structured interviews took place 4-10 weeks after the last ASSIP session. A conventional content analysis of the interview data is presented.

RESULTS

Three core categories depicting ASSIP's perceived impact were identified. The core category life-affirming change comprised subcategories of feeling better, thinking differently, acting differently, and having new resources. The core category collateral effects comprised difficult feelings and cognitive overload. The core category incompleteness of change comprised lack of desired change, gains as incomplete, need for sustenance, and unrealized potential.

CONCLUSION

Clients perceived ASSIP as effectively facilitating life-affirming change but agreed that further support was necessary to retain and build on these gains. Identified needs for improvement included more predictable post-ASSIP service paths and more support for involving affected loved ones.

Risk factors of suicide re-attempt: A two-year prospective study

BACKGROUND

History of suicide attempt (SA) is the strongest predictor of a new SA and suicide. It is primordial to identify additional risk factors of suicide re-attempt. The aim of this study was to identify risk factors of suicide re-attempt in patients with recent SA followed for 2 years.

METHODS

In this multicentric cohort of adult inpatients, the median of the index SA before inclusion was 10 days. Clinicians assessed a large panel of psychological dimensions using validated tools. Occurrence of a new SA or death by suicide during the follow-up was recorded. A cluster analysis was used to identify the dimensions that best characterized the population and a variable "number of personality traits" was created that included the three most representative traits: anxiety, anger, and anxious lability. Risk factors of re-attempt were assessed with adjusted Cox regression models.

RESULTS

Among the 379 patients included, 100 (26.4 %) re-attempted suicide and 6 (1.6 %) died by suicide. The two major risk factors of suicide re-attempt were no history of violent SA and presenting two or three personality traits among trait anxiety, anger and anxious lability.

LIMITATIONS

It was impossible to know if treatment change during follow-up occur before or after the re-attempt.

DISCUSSION

One of the most important predictors of re-attempt in suicide attempters with mood disorders, was the presence of three personality traits (anger, anxiety, and anxious lability). Clinicians should provide close monitoring to patients presenting these traits and proposed treatments specifically targeting these dimensions, especially anxiety.

Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project

BACKGROUND

Self-harm presents a significant public health challenge. Emergency departments (EDs) are crucial healthcare settings in managing self-harm, but clinician uncertainty in risk assessment may contribute to ineffective care. Clinical Decision Support Systems (CDSSs) show promise in enhancing care processes, but their effective implementation in self-harm management remains unexplored.

METHODS

PERMANENS comprises a combination of methodologies and study designs aimed at developing a CDSS prototype that assists clinicians in the personalized assessment and management of ED patients presenting with self-harm. Ensemble prediction models will be constructed by applying machine learning techniques on electronic registry data from four sites, i.e., Catalonia (Spain), Ireland, Norway, and Sweden. These models will predict key adverse outcomes including self-harm repetition, suicide, premature death, and lack of post-discharge care. Available registry data include routinely collected electronic health record data, mortality data, and administrative data, and will be harmonized using the OMOP Common Data Model, ensuring consistency in terminologies, vocabularies and coding schemes. A clinical knowledge base of effective suicide prevention interventions will be developed rooted in a systematic review of clinical practice guidelines, including quality assessment of guidelines using the AGREE II tool. The CDSS software prototype will include a backend that integrates the prediction models and the clinical knowledge base to enable accurate patient risk stratification and subsequent intervention allocation. The CDSS frontend will enable personalized risk assessment and will provide tailored treatment plans, following a tiered evidence-based approach. Implementation research will ensure the CDSS' practical functionality and feasibility, and will include periodic meetings with user-advisory groups, mixed-methods research to identify currently unmet needs in self-harm risk assessment, and small-scale usability testing of the CDSS prototype software.

DISCUSSION

Through the development of the proposed CDSS software prototype, PERMANENS aims to standardize care, enhance clinician confidence, improve patient satisfaction, and increase treatment compliance. The routine integration of CDSS for self-harm risk assessment within healthcare systems holds significant potential in effectively reducing suicide mortality rates by facilitating personalized and timely delivery of effective interventions on a large scale for individuals at risk of suicide.

Incidence and Risk Profiles for Suicide Mortality in Patients With Schizophrenia Receiving Homecare Case Management in Taiwan

Case management (CM)-based community therapy for patients with schizophrenia had little effect on reducing suicide mortality. We investigate the long-term suicide mortality outcome and associated risk factors in patients with schizophrenia receiving homecare (CM) in Taiwan. We enrolled a nationwide cohort of patients with schizophrenia who newly received homecare CM intervention (n = 13 317) between January 1, 2001, and December 31, 2015; their data were derived from Taiwan's National Health Insurance Research Database. We calculated the incidence rate of suicide methods. We examined the demographic and medical utilization profile for suicide and then performed a nested case-control study and multivariate regression to identify independent risk factors for suicide mortality. Among the 13 317 patients who received homecare CM intervention, 1766 died during the study period, of whom 213 died by suicide, which is the leading cause of unnatural death. Jumping from a high place, self-poisoning, and hanging were the top 3 suicide methods. Increased medical utilization was noted for both psychiatric and non-psychiatric services within 3 months of suicide mortality. Comorbidities of depressive disorder, nonspecific heart diseases, pneumonia, and gastrointestinal ulcers were identified as independent risk factors for suicide mortality. Suicide was the leading cause of unnatural mortality in patients with schizophrenia receiving homecare CM intervention in Taiwan. We noted the preferred suicide methods, high medical utilization, and comorbidities before suicide. Thus, we suggest that the CM team should assess lethal methods for suicide and ensure that patients adhere to psychiatry treatment for improving the current care model for this specified population.

Predicting suicide death after emergency department visits with mental health or self-harm diagnoses

OBJECTIVE

Use health records data to predict suicide death following emergency department visits.

METHODS

Electronic health records and insurance claims from seven health systems were used to: identify emergency department visits with mental health or self-harm diagnoses by members aged 11 or older; extract approximately 2500 potential predictors including demographic, historical, and baseline clinical characteristics; and ascertain subsequent deaths by self-harm. Logistic regression with lasso and random forest models predicted self-harm death over 90 days after each visit.

RESULTS

Records identified 2,069,170 eligible visits, 899 followed by suicide death within 90 days. The best-fitting logistic regression with lasso model yielded an area under the receiver operating curve of 0.823 (95% CI 0.810-0.836). Visits above the 95th percentile of predicted risk included 34.8% (95% CI 31.1-38.7) of subsequent suicide deaths and had a 0.303% (95% CI 0.261-0.346) suicide death rate over the following 90 days. Model performance was similar across subgroups defined by age, sex, race, and ethnicity.

CONCLUSIONS

Machine learning models using coded data from health records have moderate performance in predicting suicide death following emergency department visits for mental health or self-harm diagnosis and could be used to identify patients needing more systematic follow-up.

Prevalence of suicide attempt and associations with deliberate self-harm, mental health problems, drug misuse and traumatic experiences - a cross sectional survey of the Norwegian population

BACKGROUND

Monitoring self-reported suicide attempts (SA) with nationally representative surveys is important to initiate suicide prevention strategies. The aim of the study was to assess the prevalence of SA and compare deliberate self-harm, (DSH), mental health, drug misuse and traumas between SA and non-suicide attempters (NSA).

METHODS

In this cross-sectional survey of a representative sample (N=1757) of the Norwegian population, we compared people with self-reported SA (n=54) to NSA (n=1703) regarding sociodemographic data, mental health problems, drug misuse and exposure to trauma.

RESULTS

The prevalence of SA was 3.1 %. There was a higher proportion of welfare recipients and more deliberate self-harm, mental health problems, drug misuse and traumas in the SA group compared to NSA.

CONCLUSION

This national study confirms the association between suicide attempt and deliberate self-harm, mental health problems, drug misuse and traumas.

Psychiatric disorders among adult deliberate self-harm patients and subsequent risk of dying by suicide, mental and behavioural disorders and other external causes

INTRODUCTION

Deliberate self-harm (DSH) treated in general hospital is a well-established risk factor for suicide and other cause mortality. However, few studies have used population data to investigate the differential impact of specific psychiatric disorders on the risk of subsequent suicide, by sex and age of the patient in the context of previous DSH episodes.

METHOD

All patients aged 18 and older treated for DSH in general hospitals during the period 2008-2018 were identified through national registers. Cox proportional hazards regression was used to ascertain the associated risk of death by suicide, mental and behavioural disorder and other external causes.

RESULTS

The cohort consisted of 39 479 patients of which 878 died by suicide, 461 by mental and behavioural disorders and 1037 by other external causes. Overall, schizophrenia spectrum disorders, affective disorders and personality disorders increased the risk of suicide. Large gender and age differences were identified in the risk of suicide associated with personality disorders and affective disorders. Alcohol use disorders and dementia increased the risk of dying by mental and behavioural disorders and alcohol use disorders and other substance use disorders increased the risk of death by external causes.

CONCLUSION

Schizophrenia spectrum disorders, affective disorders and personality disorders increased the risk of suicide among DSH patients, but the effect varied by gender, age and history of previous DSH. Psychiatric evaluation of all DSH patients and treatment tailored to the patient's specific needs is essential to reduce the risk of premature death.

Liaison psychiatry practitioners' views on accessing aftercare and psychological therapies for patients who present to hospital following self-harm: multi-site interview study

BACKGROUND

Timely provision of aftercare following self-harm may reduce risks of repetition and premature death, but existing services are frequently reported as being inadequate.

AIMS

To explore barriers and facilitators to accessing aftercare and psychological therapies for patients presenting to hospital following self-harm, from the perspective of liaison psychiatry practitioners.

METHOD

Between March 2019 and December 2020, we interviewed 51 staff members across 32 liaison psychiatry services in England. We used thematic analyses to interpret the interview data.

RESULTS

Barriers to accessing services may heighten risk of further self-harm for patients and burnout for staff. Barriers included: perceived risk, exclusionary thresholds, long waiting times, siloed working and bureaucracy. Strategies to increase access to aftercare included: (a) improving assessments and care plans via input from skilled staff working in multidisciplinary teams (e.g. including social workers and clinical psychologists); (b) supporting staff to focus on assessments as therapeutic intervention; (c) probing boundaries and involving senior staff to negotiate risk and advocate for patients; and (d) building relationships and integration across services.

CONCLUSIONS

Our findings highlight practitioners' views on barriers to accessing aftercare and strategies to circumvent some of these impediments. Provision of aftercare and psychological therapies as part of the liaison psychiatry service were deemed as an essential mechanism for optimising patient safety and experience and staff well-being. To close treatment gaps and reduce inequalities, it is important to work closely with staff and patients, learn from experiences of good practice and implement change more widely across services.