The panic disorder screener (PADIS): Development of an accurate and brief population screening tool

Revisiting the intake policy at the mental child and adolescent clinics

BACKGROUND

The psychiatric intake interview is crucial for the delivery of quality care. Currently, the interview in most public clinics varies in nature. It often consists of a clinical face-to-face interview (structured/unstructured) with or without self-report questionnaires (systematic/non-systematic). By integrating structured computerized self-report questionnaires into the intake, the assessment process could be shortened, and diagnostic accuracy increased.

OBJECTIVES

The study aims to assess whether adding structured computerized questionnaires will increase the efficacy of the intake process, as indicates by shortened intakes and a higher level of diagnostic accuracy, for children and adolescents in mental health clinics in Israel.

METHODOLOGY

Patients (M_age = 8.62, SD_age = 1.86; 33.8% females) referred to the youth mental health clinic of Maccabi HaSharon district, were included in either the CIA group (Comprehensive Intake Assessment - with questionnaires) or IAU group (Intake as Usual - without questionnaires).

RESULTS

In terms of accuracy and time measurements, the CIA group had higher diagnostic accuracy and a shorter intake duration of 6.63 min, almost 15% of an intake meeting, compared to the IAU group. No differences were found in satisfaction and therapeutic alliance between the groups.

CONCLUSIONS AND IMPLICATIONS

More accurate diagnosis is essential to tailor the appropriate treatment for the child's needs. Moreover, reducing intake time by a few minutes contributes significantly to the ongoing activities of mental health clinics. With this reduction, more intakes can be scheduled at a given time, optimizing the intake process, and reducing long wait times, which are increasing due to the growing demand for psychotherapeutic and psychiatric care.

Brief Mental Health Disorder Screening Questionnaires and Use with Public Safety Personnel: A Review

Brief mental health disorder screening questionnaires (SQs) are used by psychiatrists, physicians, researchers, psychologists, and other mental health professionals and may provide an efficient method to guide clinicians to query symptom areas requiring further assessment. For example, annual screening has been used to help identify military personnel who may need help. Nearly half (44.5%) of Canadian public safety personnel (PSP) screen positive for one or more mental health disorder(s); as such, regular mental health screenings for PSP may be a valuable way to support mental health. The following review was conducted to (1) identify existing brief mental health disorder SQs; (2) review empirical evidence of the validity of identified SQs; (3) identify SQs validated within PSP populations; and (4) recommend appropriately validated brief screening questionnaires for five common mental health disorders (i.e., generalized anxiety disorder (GAD), major depressive depression (MDD), panic disorder, posttraumatic stress disorder, alcohol use disorder). After reviewing the psychometric properties of the identified brief screening questionnaires, we recommend the following four brief screening tools for use with PSP: the Patient Health Questionnaire-4 (screening for MDD and GAD), the Brief Panic Disorder Symptom Screen—Self-Report, the Short-Form Posttraumatic Checklist-5, and the Alcohol Use Disorders Identification Test-Consumption.

The Effect of COVID-19 on Mental Health and Wellbeing in a Representative Sample of Australian Adults

There is minimal knowledge about the impact of large-scale epidemics on community mental health, particularly during the acute phase. This gap in knowledge means we are critically ill-equipped to support communities as they face the unprecedented COVID-19 pandemic. This study aimed to provide data urgently needed to inform government policy and resource allocation now and in other future crises. The study was the first to survey a representative sample from the Australian population at the early acute phase of the COVID-19 pandemic. Depression, anxiety, and psychological wellbeing were measured with well-validated scales (PHQ-9, GAD-7, WHO-5). Using linear regression, we tested for associations between mental health and exposure to COVID-19, impacts of COVID-19 on work and social functioning, and socio-demographic factors. Depression and anxiety symptoms were substantively elevated relative to usual population data, including for individuals with no existing mental health diagnosis. Exposure to COVID-19 had minimal association with mental health outcomes. Recent exposure to the Australian bushfires was also unrelated to depression and anxiety, although bushfire smoke exposure correlated with reduced psychological wellbeing. In contrast, pandemic-induced impairments in work and social functioning were strongly associated with elevated depression and anxiety symptoms, as well as decreased psychological wellbeing. Financial distress due to the pandemic, rather than job loss per se, was also a key correlate of poorer mental health. These findings suggest that minimizing disruption to work and social functioning, and increasing access to mental health services in the community, are important policy goals to minimize pandemic-related impacts on mental health and wellbeing. Innovative and creative strategies are needed to meet these community needs while continuing to enact vital public health strategies to control the spread of COVID-19.

Development of the RMT20, a composite screener to identify common mental disorders

BACKGROUND

There are few very brief measures that accurately identify multiple common mental disorders.

AIMS

The aim of this study was to develop and assess the psychometric properties of a new composite measure to screen for five common mental disorders.

METHOD

Two cross-sectional psychometric surveys were used to develop (n = 3175) and validate (n = 3620) the new measure, the Rapid Measurement Toolkit-20 (RMT20) against diagnostic criteria. The RMT20 was tested against a DSM-5 clinical checklist for major depression, generalised anxiety disorder, panic disorder, social anxiety disorder and post-traumatic stress disorder, with comparison with two measures of general psychological distress: the Kessler-10 and Distress Questionnaire-5.

RESULTS

The area under the curve for the RMT20 was significantly greater than for the distress measures, ranging from 0.86 to 0.92 across the five disorders. Sensitivity and specificity at prescribed cut-points were excellent, with sensitivity ranging from 0.85 to 0.93 and specificity ranging from 0.73 to 0.83 across the five disorders.

CONCLUSIONS

The RMT20 outperformed two established scales assessing general psychological distress, is free to use and has low respondent burden. The measure is well-suited to clinical screening, internet-based screening and large-scale epidemiological surveys.

The role of maladaptive personality domains across multiple levels of the HiTOP structure

This study aimed to examine associations between maladaptive personality traits and psychopathology from the perspective of the hierarchical taxonomy of psychopathology (HiTOP). We tested hierarchical structural models to further validate a portion of the structural components of HiTOP. We also tested a priori personality and psychopathology associations with three levels of the HiTOP hierarchy: general psychopathology, spectra and syndromes/disorders. We used a large sample from the general Australian population who completed a large set of personality and psychopathology inventories online. Confirmatory factor analyses indicated that internalizing, externalizing and thought dysfunction spectra emerged structurally, as expected per HiTOP, but also revealed that obsessive-compulsive disorder loaded on both internalizing and thought dysfunction and attention deficit hyperactivity disorder on both externalizing and internalizing. Furthermore, results indicated that almost all personality and psychopathology hypotheses were supported, although trait antagonism did not predict externalizing to the degree initially expected. Implications for personality and psychopathology are discussed. © 2019 John Wiley & Sons, Ltd.

Efficacy of a transdiagnostic, video-based online program for reducing depression, anxiety, and suicidal ideation in adults: Protocol for a randomised controlled trial

Background

Transdiagnostic online interventions have the potential to overcome help seeking barriers, address symptom comorbidity, and increase accessibility to evidence-based treatments. However, there is currently a lack of high quality studies examining brief transdiagnostic interventions, as well as research examining optimal methods for screening and providing members of the community with access to these interventions. This randomised controlled trial will compare a brief, video-based transdiagnostic online intervention (FitMindKit) to an attention matched control condition (HealthWatch).

Aims

The aims of the study are to (1) examine the efficacy of FitMindKit in reducing depression symptoms, anxiety symptoms, suicidal ideation, and disability relative to HealthWatch and (2) compare uptake of the program via the Internet with uptake via general practices and pharmacies (methods used in a parallel implementation study).

Methods

A two-arm randomised controlled trial will be conducted with adults residing in the Australian Capital Territory, Australia. Participants will be recruited online via social media advertisements, screened, and randomised to receive one of two four-week programs: FitMindKit (12-module psychotherapeutic intervention) or HealthWatch (12-module program providing general health information). Participants will be assessed at baseline and 4 weeks post-baseline.

Results

Findings from the trial will provide important knowledge regarding the utility and optimal implementation of brief transdiagnostic interventions for depression and anxiety in the community.

Conclusions

This trial has strong potential to increase access to evidence-based treatments in the community by directly addressing several factors that impede this access, such as symptom comorbidity and a lack of knowledge regarding optimal implementation pathways.

Trial registration

This trial is registered with the Australian New Zealand Clinical Trials Registry (number ACTRN12618001688279).

Screening for psychiatric disorders with self-administered questionnaires

Given the time demands of clinical practice it is not surprising that diagnoses are sometimes missed. To improve diagnostic recognition, self-administered screening scales have been recommended. A problem with much of the research effort on screening scales is the confusion between diagnostic testing and screening. It is important for a screening test to have high sensitivity because the more time intensive/expensive follow-up diagnostic inquiry will presumably only occur in patients who are positive on the initial screen. Investigators vary in how they analyze their data in determining the recommended cutoff score on a self-administered screening questionnaire. To illustrate this, in the present report we examined how often each of the different approaches towards determining a cutoff score on bipolar disorder screening scales were used. We reviewed 68 reports of the performance of the 3 most commonly researched bipolar disorder screening scales to determine how the recommended cutoff on the scale was derived. Most studies recommended a cutoff point on the screening scale that optimized the level of agreement with the diagnostic gold standard. Only 11 (16.2%) studies recommended a cutoff that prioritized the scale's sensitivity. It is important for clinicians to understand the difference between screening and diagnostic tests. The results of the present study indicate that most studies of the performance of the 3 most commonly studied bipolar disorder screening measures have taken the wrong approach in deriving the cutoff score on the scale for the purpose of screening.

FitMindKit: Randomised controlled trial of an automatically tailored online program for mood, anxiety, substance use and suicidality

PURPOSE

Online mental health programs can be effective in reducing symptoms of depression, anxiety disorders, substance use and suicidal ideation. However, most existing e-mental health programs focus on a single domain of mental health, neglecting comorbidity. Furthermore, few programs are tailored to the symptom patterns of the individual user. FitMindKit was designed to overcome the gaps of existing e-mental health programs, providing tailored, transdiagnostic therapeutic content to address a range of comorbid mental health symptoms. A trial was conducted to test the program's efficacy.

METHODS

Australian adults with elevated symptoms of depression, anxiety, suicidal ideation and/or substance use were recruited through social media, with n = 194 randomised into a fully-automated trial of a 10-day brief intervention. Participants were randomly allocated to receive FitMindKit tailored to their symptoms, an untailored generic version of FitMindKit, or an attention control.

RESULTS

Mixed model repeated measures ANOVA indicated that participants in both FitMindKit and the attention control had significant reductions in symptom composite scores. Effects were not significantly greater in the FitMindKit program relative to control, either at post-test or 3-month follow-up. No effects were detected for specific decreases in depression, generalized anxiety, social anxiety, panic, suicidal ideation or alcohol/substance use. There were no significant differences between the tailored and static versions in effectiveness or adherence. Participants in the tailored and static conditions were more satisfied than in the control condition, with some evidence favouring the tailored condition. High attrition reduced power to find effects.

CONCLUSIONS

FitMindKit provides a model for addressing comorbid mental health symptoms in an online program, using automated tailoring to symptom patterns. Modifications to the program are recommended, along with the need for larger trials to test the effects of tailoring on mental health outcomes.

Developing and Validating a Computerized Adaptive Test to Measure Broad and Specific Factors of Internalizing in a Community Sample

Highly efficient assessments that better account for comorbidity between mood and anxiety disorders (internalizing) are required to identify individuals who are most at risk of psychopathology in the community. The current study examined the efficiency and validity associated with a multidimensional computerized adaptive test (CAT) to measure broad and specific levels of internalizing psychopathology. The sample comprised 3,175 respondents to an online survey. Items from five banks (generalized anxiety, depression, obsessive-compulsive disorder, panic disorder, social anxiety disorder) were jointly calibrated using a bifactor item response theory model. Simulations indicated that an adaptive algorithm could accurately (rs ≥ 0.90) estimate general internalizing and specific disorder scores using on average 44 items in comparison with the full 133-item bank (67% reduction in items). Scores on the CAT demonstrate convergent and divergent validity with previously validated short severity scales and could significantly differentiate cases of DSM-5 disorder. As such, the CAT validly measures both broad and specific constructs of internalizing disorders in a manner similar to the full item bank and a static brief form but with greater gains in efficiency and, therefore, a reduced degree of respondent burden.

Psychometric Properties of 7- and 30-Day Versions of the PROMIS Emotional Distress Item Banks in an Australian Adult Sample

This study aimed to examine the psychometric properties of the PROMIS depression, anxiety, and anger item banks in a large Australian population-based sample. The study tested for unidimensionality; evaluated invariance across age, gender, and education; assessed local independence; and tested item bank scores as an indicator for clinical criteria. In addition, equivalence of the 7-day time frame against an alternative 30-day time frame was assessed. A sample of 3,175 Australian adults were recruited into the study through online advertising. All three item banks showed strong evidence of unidimensionality and parsimony, with no items showing local dependence. All items were invariant across age, gender, and education. The item banks were accurate in detecting clinical criteria for major depressive disorder, generalized anxiety disorder, and panic disorder, although legacy measures designed for this purpose sometimes performed marginally better. Responses to the 30-day time frame were highly consistent with the original 7-day time frame. The study provided support for the validity of the PROMIS emotional distress item banks as measures of depression, anxiety, and anger in the Australian population, supporting the generalizability of the measures. The time frame chosen for assessing mental health outcomes using these item banks should be based on pragmatic considerations.

Community-Based Validation of the Social Phobia Screener (SOPHS)

There is a need for brief, accurate screening scales for social anxiety disorder to enable better identification of the disorder in research and clinical settings. A five-item social anxiety screener, the Social Phobia Screener (SOPHS), was developed to address this need. The screener was validated in two samples: (a) 12,292 Australian young adults screened for a clinical trial, including 1,687 participants who completed a phone-based clinical interview and (b) 4,214 population-based Australian adults recruited online. The SOPHS (78% sensitivity, 72% specificity) was found to have comparable screening performance to the Social Phobia Inventory (77% sensitivity, 71% specificity) and Mini-Social Phobia Inventory (74% sensitivity, 73% specificity) relative to clinical criteria in the trial sample. In the population-based sample, the SOPHS was also accurate (95% sensitivity, 73% specificity) in identifying Diagnostic and Statistical Manual of Mental Disorders–Fifth edition social anxiety disorder. The SOPHS is a valid and reliable screener for social anxiety that is freely available for use in research and clinical settings.