Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis

Bogdanowicz, Karolina; Stewart, Robert; Chang, Chin‐Kuo; Downs, Johnny; Khondoker, Mizanur; Shetty, Hitesh; Strang, John; Hayes, Richard D.

doi:10.1016/j.drugalcdep.2016.04.036

Cited by 8 publications

(3 citation statements)

References 21 publications

(24 reference statements)

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“…Researchers may access these variables (along with the “standard” structured fields – e.g., diagnosis codes, demographic information, dates – from the EHR) through the SQL interface of the CRIS database to identify cohorts of patients for epidemiological studies and clinical research. Several studies cited herein have made use of these structured variables ( 28 , 32 , 36 ).…”

Section: Identification and Prevalence Estimates Of Suicidality In Crmentioning

confidence: 99%

“…Using data from CRIS with an external linkage to ONS mortality data, Bogdanowicz et al ( 28 ) investigated the effectiveness of addiction-specific clinical risk assessments for identifying groups with high mortality in opioid use disorder (OUD). Patients with a diagnosis of OUD were identified by ICD-10 code F11.…”

Section: Identification and Prevalence Estimates Of Suicidality In Crmentioning

confidence: 99%

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Reviewing a Decade of Research Into Suicide and Related Behaviour Using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) System

et al. 2020

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Suicide is a serious public health issue worldwide, yet current clinical methods for assessing a person's risk of taking their own life remain unreliable and new methods for assessing suicide risk are being explored. The widespread adoption of electronic health records (EHRs) has opened up new possibilities for epidemiological studies of suicide and related behaviour amongst those receiving healthcare. These types of records capture valuable information entered by healthcare practitioners at the point of care. However, much recent work has relied heavily on the structured data of EHRs, whilst much of the important information about a patient's care pathway is recorded in the unstructured text of clinical notes. Accessing and structuring text data for use in clinical research, and particularly for suicide and self-harm research, is a significant challenge that is increasingly being addressed using methods from the fields of natural language processing (NLP) and machine learning (ML). In this review, we provide an overview of the range of suicide-related studies that have been carried out using the Clinical Records Interactive Search (CRIS): a database for epidemiological and clinical research that contains de-identified EHRs from the South London and Maudsley NHS Foundation Trust. We highlight the variety of clinical research questions, cohorts and techniques that have been explored for suicide and related behaviour research using CRIS, including the development of NLP and ML approaches. We demonstrate how EHR data provides comprehensive material to study prevalence of suicide and self-harm in clinical populations. Structured data alone is insufficient and NLP methods are needed to more accurately identify relevant information from EHR data. We also show how the text in clinical notes provide signals for ML approaches to suicide risk assessment. We envision increased progress in the decades to come, particularly in externally validating findings across multiple sites and countries, both in terms of clinical evidence and in terms of NLP and machine learning method transferability.

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Section: Identification and Prevalence Estimates Of Suicidality In Crmentioning

confidence: 99%

Section: Identification and Prevalence Estimates Of Suicidality In Crmentioning

confidence: 99%

Reviewing a Decade of Research Into Suicide and Related Behaviour Using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) System

et al. 2020

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“…Previous observational studies of risk factors for suicidal behaviour in treatment-seeking AUD patients have been conducted, but have been limited by: small sample sizes (14); a lack of prospective design with outcomes restricted to either recent pre-treatment suicidal behaviour (15,16) or lifetime suicidal behaviour (17,18); the role of alcohol dependence either not being considered (19) or comprising a low percentage of overall cohort (20,21); and sample generalisability being limited by cohorts comprised of subgroups of the treatment seeking population, e.g. those accessing inpatient or residential rehabilitation and thus representing only the very severe end of the AUD spectrum (22,23).…”

Section: Introductionmentioning

confidence: 99%

Risk factors for suicide attempts in community alcohol treatment

Robins,

Morley,

Hayes

et al. 2024

Preprint

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Background Alcohol Use Disorder is associated with suicide and suicide attempts, and addiction treatment services have a role in suicide prevention. We aimed to identify risk factors for suicide attempt among a cohort of community-based alcohol treatment service users. Methods Linked data from 4415 adults accessing secondary addiction services for alcohol treatment between 2006 and 2019 in London, UK, were used to identify risk factors for suicide attempt. Cox proportional hazards regression estimated the relative increase or decrease in hazard associated with each risk factor on a composite outcome event; death by suicide or contact with emergency psychiatric care within one year of starting treatment. Findings There were 468 (10.5%) crisis care contact events, and <10 suicide deaths. After adjustment, factors associated with increased hazard of crisis care contact or death by suicide were history of suicide attempt (HR 1.83[1.43-2.33]), poor mental health (HR 1.81[1.41-2.32]), current suicidal ideation (HR 1.65[1.18-2.31]), use of drugs other than cocaine, cannabis and opiates (HR 1.41[1.02-1.95]), female sex (HR 1.34[1.10-1.65]) and social isolation (HR 1.24[1.02 - 1.51]). Factors associated with reduced hazard of crisis care contact or death by suicide were alcohol abstinence (HR 0.51[0.31-0.83], ref>30 units), drinking 1-15 units (HR 0.64[0.49-0.85], ref>30 units), Black ethnicity (HR 0.61[0.45-0.83]) and living with children (HR 0.74[0.56-0.99]). Interpretation The identified risk factors for suicide attempt can help risk formulation and safety planning among patients accessing alcohol treatment services. Funding National Institute for Health Research Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, King's College London.

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Managing and Identifying the Risks Related to Biochemical Conversion of Waste-to-Energy

Ghodke

Reddy

Krishna

2017

Advances in Health and Environment Safety

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Identifying mortality risks in patients with opioid use disorder using brief screening assessment: Secondary mental health clinical records analysis

Cited by 8 publications

References 21 publications

Reviewing a Decade of Research Into Suicide and Related Behaviour Using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) System

Reviewing a Decade of Research Into Suicide and Related Behaviour Using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) System

Risk factors for suicide attempts in community alcohol treatment

Managing and Identifying the Risks Related to Biochemical Conversion of Waste-to-Energy

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