SIBAT-A Computerized Assessment Tool for Suicide Ideation and Behavior: Development and Psychometric Properties

OBJECTIVE

Most assessments of suicidal ideation and behavior (SIB) are limited by reliance on a single assessor, typically a clinician or patient, with scant detail on patient-related drivers of SIB and inability to detect rapid change in SIB. Furthermore, many techniques do not include a semistructured interview, increasing rater variability. The Suicide Ideation and Behavior Assessment Tool (SIBAT) addresses these limitations.

DESIGN

More than 30 experts in scale development, statistics, and clinical management of suicidal patients collaborated over a greater than four-year period to develop the SIBAT. Input for content and validity was received from patients, clinicians, and regulatory authorities in the United States (US) and Europe. Psychometric properties of the SIBAT were evaluated in validation studies.

RESULTS

The SIBAT is organized into eight independent patient- or clinician-rated modules with branching logic and scoring algorithms, which necessitates computerization. Patient-reported information is first captured in Modules 1 to 5. Thereafter, an experienced clinician reviews the patient's report, conducts a semistructured interview (Module 6), and assesses the patient's suicide risk (Module 7) and optimal antisuicide management (Module 8). Input from cognitive interviews of diverse adult, adolescent, and clinician participants was incorporated into the final version of the SIBAT. Psychometric testing demonstrated good inter-rater reliability (intraclass coefficient range: 0.68-0.82), intra-rater reliability (weighted-kappa range: 0.64-0.76), and concurrent validity with other instruments for assessing SIB.

CONCLUSION

Patient- and clinician-based assessments and the psychometric studies summarized in this report support the validity and reliability of the SIBAT for capturing critical information related to assessment of SIB in adolescents and adults at risk for suicide.

SSRIs: Applications in inflammatory lung disease and implications for COVID-19

Selective serotonin reuptake inhibitors (SSRIs) have anti-inflammatory properties that may have clinical utility in treating severe pulmonary manifestations of COVID-19. SSRIs exert anti-inflammatory effects at three mechanistic levels: (a) inhibition of proinflammatory transcription factor activity, including NF-κB and STAT3; (b) downregulation of lung tissue damage and proinflammatory cell recruitment via inhibition of cytokines, including IL-6, IL-8, TNF-α, and IL-1β; and (c) direct suppression inflammatory cells, including T cells, macrophages, and platelets. These pathways are implicated in the pathogenesis of COVID-19. In this review, we will compare the pathogenesis of lung inflammation in pulmonary diseases including COVID-19, ARDS, and chronic obstructive pulmonary disease (COPD), describe the anti-inflammatory properties of SSRIs, and discuss the applications of SSRIS in treating COVID-19-associated inflammatory lung disease.

The Effect of Antidepressants on Depression After Traumatic Brain Injury: A Meta-analysis

OBJECTIVE

Following traumatic brain injury (TBI), depressive symptoms are common and may influence recovery. We performed a meta-analysis to estimate the benefit of antidepressants following TBI and compare the estimated effects between antidepressants and placebo.

PARTICIPANTS

Multiple databases were searched to find prospective pharmacological treatment studies of major depressive disorder (MDD) in adults following TBI.

MAIN MEASURES

Effect sizes for antidepressant medications in patients with TBI were calculated for within-subjects designs that examined change from baseline after receiving medical treatment and treatment/placebo designs that examined the differences between the antidepressants and placebo groups.

DESIGN

A random-effects model was used for both analyses.

RESULTS

Of 1028 titles screened, 11 were included. Pooled estimates showed nonsignificant difference in reduction of depression scores between medications and placebo (standardized mean difference of 5 trials = -0.3; 95% CI, -0.6 to 0.0; I = 17%), and a significant reduction in depression scores for individuals after pharmacotherapy (mean change = -11.2; 95% CI, -14.7 to -7.6 on the Hamilton Depression Scale; I = 87%).

CONCLUSIONS

This meta-analysis found no significant benefit of antidepressant over placebo in the treatment of MDD following TBI. Pooled estimates showed a high degree of bias and heterogeneity. Prospective studies on the impact of antidepressants in well-defined cohorts of TBI patients are warranted.

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought markers. In this novel prospective, multimodal, multicenter, mixed demographic study, we used machine learning to measure and fuse two classes of suicidal thought markers: verbal and nonverbal. Machine learning algorithms were used with the subjects' words and vocal characteristics to classify 379 subjects recruited from two academic medical centers and a rural community hospital into one of three groups: suicidal, mentally ill but not suicidal, or controls. By combining linguistic and acoustic characteristics, subjects could be classified into one of the three groups with up to 85% accuracy. The results provide insight into how advanced technology can be used for suicide assessment and prevention.

Disclosing the potential impact of placebo controls in antidepressant trials

BACKGROUND

Although placebo-control clinical trials that withhold effective treatments can be permissible, how best to inform participants of the placebo design has received little attention.

AIMS

To determine the effect of disclosing quantitative outcome estimates of individual treatment v. entering placebo-control randomised control trial (RCT) on willingness to enrol in such an RCT.

METHOD

We randomised 278 adult patients at a depression clinic to receive standard disclosure (n = 129) or enhanced (n = 149) quantitative outcome estimates (based on decision analysis) of individual treatment v. RCT, and assessed their willingness to enrol in the RCT.

RESULTS

A greater proportion of those in the standard arm preferred enrolling in RCT (41.3% v. 23.8%, P = 0.002). Those in the standard arm preferred RCT more for direct benefit than altruism reasons, whereas the opposite was true in the enhanced arm.

CONCLUSIONS

Disclosing the quantitative outcome implications of placebos may select for fewer but more altruistic participants.

DECLARATION OF INTEREST

S.Y.H.K. was a DSMB member of a clinical trial sponsored by Hoffman-LaRoche and he receives royalties from Oxford University Press for his book Evaluation of Capacity to Consent to Treatment and Research. C.M. has served in the past year on a scientific advisory board and as a consultant for Janssen Pharmaceuticals.

COPYRIGHT AND USAGE

This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Rapid follow-up for patients after psychiatric crisis

Patients in psychiatric crisis often lack connection to community resources and present to emergency departments (EDs) for care. A transitional psychiatry clinic (TPC) bridged patients after ED visit. These retrospective chart review data of 390 patients were analyzed by ANOVA, logistic regression and survival analysis. Predictors of ED return included psychosis, personality disorder and increased number of prior ED visits. Longer wait for the TPC was associated strongly with non-attendance. TPC appointment within 3 days was associated with significantly longer time in the community without ED presentation. Rapid follow-up after ED visits increased attendance at aftercare and lengthens community tenure.

Routine depression screening in an HIV clinic cohort identifies patients with complex psychiatric co-morbidities who show significant response to treatment

This study described characteristics, psychiatric diagnoses and response to treatment among patients in an outpatient HIV clinic who screened positive for depression. Depressed (25 %) were less likely to have private insurance, less likely to have suppressed HIV viral loads, had more anxiety symptoms, and were more likely to report current substance abuse than not depressed. Among depressed, 81.2 % met diagnostic criteria for a depressive disorder; 78 % for an anxiety disorder; 61 % for a substance use disorder; and 30 % for co-morbid anxiety, depression, and substance use disorders. Depressed received significantly more treatment for depression and less HIV primary care than not depressed patients. PHQ-9 total depression scores decreased by 0.63 from baseline to 6-month follow-up for every additional attended depression treatment visit. HIV clinics can routinely screen and treat depressive symptoms, but should consider accurate psychiatric diagnosis as well as co-occurring mental disorders.

Patient reported outcomes in routine care: advancing data capture for HIV cohort research

INTRODUCTION

Computerized collection of standardized measures of patient reported outcomes (PROs) provides a novel paradigm for data capture at the point of clinical care. Comparisons between data from PROs and Electronic Health Records (EHR) are lacking. We compare EHR and PRO for capture of depression and substance abuse and their relationship to adherence to antiretroviral therapy (ART).

METHODS

This retrospective study includes HIV-positive patients at an HIV clinic who completed an initial PRO assessment April 2008-July 2009. The questionnaire includes measures of depression (PHQ-9) and substance abuse (ASSIST). Self-reported ART adherence was modeled using separate logistic regression analyses (EHR vs PRO).

RESULTS

The study included 782 participants. EHR vs PRO diagnosis of current substance abuse was 13% (n = 99) vs 6% (n = 45) (P < .0001), and current depression was 41% (n = 317) vs 12% (n = 97) (P < .0001). In the EHR model, neither substance abuse (OR = 1.25; 95% CI = 0.70-2.21) nor depression (OR = 0.93; 95% CI = 0.62-1.40) was significantly associated with poor ART adherence. Conversely, in the PRO model, current substance abuse (OR = 2.78; 95% CI = 1.33-5.81) and current depression (OR = 1.93; 95% CI = 1.12-3.33) were associated with poor ART adherence.

DISCUSSIONS

The explanatory characteristics of the PRO model correlated best with factors known to be associated with poor ART adherence (substance abuse; depression). The computerized capture of PROs as a part of routine clinical care may prove to be a complementary and potentially transformative health informatics technology for research and patient care.

Routine, self-administered, touch-screen, computer-based suicidal ideation assessment linked to automated response team notification in an HIV primary care setting

BACKGROUND

Human immunodeficiency virus (HIV) and AIDS continue to be associated with an underrecognized risk for suicidal ideation, attempted suicide, and completed suicide. Suicidal ideation represents an important predictor for subsequent attempted and completed suicide. We sought to implement routine screening of suicidal ideation and associated conditions using computerized patient-reported outcome (PRO) assessments.

METHODS

Two geographically distinct academic HIV primary care clinics enrolled patients who attended scheduled visits from December 2005 through February 2009. Touch-screen, computer-based PRO assessments were implemented into routine clinical care. Substance abuse, alcohol consumption, depression, and anxiety were assessed. The 9-item Patient Health Questionnaire assesses the frequency of suicidal ideation in the preceding 2 weeks. A response of "nearly every day" triggered an automated page to predetermined clinic personnel, who completed more detailed self-harm assessments.

RESULTS

Overall, 1216 patients (740 from the University of Alabama at Birmingham and 476 from the University of Washington) completed the initial PRO assessment during the study period. Patients were predominantly white (646 [53%]) and male (959 [79%]), with a mean age (+/- standard deviation) of 44 +/- 10 years. Among surveyed patients, 170 (14%) endorsed some level of suicidal ideation, whereas 33 (3%) admitted suicidal ideation nearly every day. In multivariable analysis, suicidal ideation risk was lower with advancing age (odds ratio [OR], 0.74 per 10 years; 95% confidence interval [CI], 0.58-0.96) and was increased with current substance abuse (OR, 1.88; 95% CI, 1.03-3.44) and more-severe depression (OR, 3.91 for moderate depression [95% CI, 2.12-7.22] and 25.55 for severe depression [95% CI, 12.73-51.30]).

DISCUSSION

Suicidal ideation was associated with current substance abuse and depression. The use of novel technologies to incorporate routine self-reported screening for suicidal ideation and other health domains allows for timely detection and intervention for this life-threatening condition.