General practitioners' reported application of DSM major depressive disorder criteria after removal of the bereavement exclusion criterion.

The removal of the bereavement exclusion criterion from major depressive disorder (MDD) in the 5th edition of Diagnostic and Statistical Manual of Mental Disorders generated concerns of over-diagnosing grief. Eight Australian General Practitioners (GPs) were interviewed to explore their application of MDD criteria to recently-bereaved individuals. Thematic analysis found GPs were unaware of the change and reluctant to apply MDD criteria two weeks post-bereavement. Depressive symptoms were viewed as natural grief, with diagnostic labels seen as unnecessary for patient-centered care. Our findings suggest new MDD criteria not being strictly applied by GPs, or no anticipated over-inflation of MDD diagnoses post-bereavement.

Cognitive behavioral therapy for depressive disorders: Outcomes from a multi-state, multi-site primary care practice.

BACKGROUND: Individuals with depressive disorders often present to and seek treatment in primary care. Integrated behavioral health services within this setting can improve access to evidence-based cognitive behavioral therapy (CBT). However, limited information exists on the effectiveness of CBT for depression in primary care. METHODS: Of the 1,302 participants with a primary depressive disorder referred by their primary care provider, 435 endorsed moderate to severe depression at baseline and engaged in at least one CBT session. A psychotherapy tracking database was used to collect relevant data, which included demographics, clinical characteristics, treatment outcomes, and CBT intervention use. RESULTS: Participants with moderate to severe depression who participated in CBT reported a significant decrease in depression and anxiety symptoms at the end of treatment (p ≤ .001, d = 0.52-0.78). Rates of reliable change, response, and remission and types of CBT interventions used differed between major and persistent depressive disorders. LIMITATIONS: Multiple limitations must be noted, which are related to the naturalistic study design, inclusion and exclusion criteria, sample operationalization, symptomatic measurement, time-limited and focused assessment, data collection strategies, and psychological services. Together, these temper the conclusions that can be drawn. CONCLUSION: Significant reductions in depression and anxiety symptoms were reported by participants with depressive disorders who engaged in short-term CBT within primary care. This study indicates that CBT can be implemented within primary care and suggests that primary care patients with depression can benefit from integrated psychological services, supporting population-based models of care.

Cognitive Behavioral Therapy for Anxiety Disorders: Outcomes From a Multi-State, Multi-Site Primary Care Practice.

BACKGROUND: Anxiety disorders are among the most common mental health conditions. Individuals with anxiety typically seek services in primary, rather than specialty, care. While there is significant evidence supporting the efficacy and effectiveness of cognitive behavioral therapy (CBT) for anxiety disorders, there have been no naturalistic studies reporting anxiety-specific treatment outcomes in primary care. METHODS: Participants (N = 1,589) were recruited from a multi-state, multi-site primary care practice, with 491 participants endorsing moderate to severe anxiety at baseline and engaging in at least one CBT session. Data was drawn from a psychotherapy tracking database. RESULTS: Among participants with moderate to severe anxiety who engaged in CBT, a significant decrease in anxiety and depression symptoms was observed over the course of psychotherapy (p< .001, d = 0.57-0.95). Rates of reliable change, response, and remission varied across diagnostic categories. The use of CBT interventions also varied across diagnoses in line with evidence-based treatment recommendations. DISCUSSION: Short-term CBT delivered in primary care is associated with significant improvements in anxiety and depression symptoms among participants with anxiety disorders. These findings support the use of a population-based approach to anxiety disorders treatment and suggest that evidence-based CBT can be implemented in the real-world setting.

"It's your loss": Making loss one's own through blog narrative practices.

This study investigated whether the 30 prompted categories of Gillies, Neimeyer, and Milman's (2014) Meaning of Loss Codebook (MLC) emerged in the unprompted and naturalistic blogs of four grieving widows. Furthermore, the study aimed to examine how such meanings emerged through each participant's processes of narrativization. Results showed that 26 of 30 MLC meanings emerged over 582 posts. Furthermore, in blogs demonstrating continued bonds with the deceased, MLC meanings formed networks integrated within narrative pathways. Conversely, in cases where severing ties were formulated as a condition of "moving on," meanings appeared in isolation of narrative and complications in narrativization were evident.

The prevalence, age distribution and comorbidity of personality disorders in Australian women.

OBJECTIVE: We aimed to describe the prevalence and age distribution of personality disorders and their comorbidity with other psychiatric disorders in an age-stratified sample of Australian women aged ⩾25 years. METHODS: Individual personality disorders (paranoid, schizoid, schizotypal, histrionic, narcissistic, borderline, antisocial, avoidant, dependent, obsessive-compulsive), lifetime mood, anxiety, eating and substance misuse disorders were diagnosed utilising validated semi-structured clinical interviews (Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition and Structured Clinical Interview for DSM-IV Axis II Personality Disorders). The prevalence of personality disorders and Clusters were determined from the study population ( n = 768), and standardised to the Australian population using the 2011 Australian Bureau of Statistics census data. Prevalence by age and the association with mood, anxiety, eating and substance misuse disorders was also examined. RESULTS: The overall prevalence of personality disorders in women was 21.8% (95% confidence interval [CI]: 18.7, 24.9). Cluster C personality disorders (17.5%, 95% CI: 16.0, 18.9) were more common than Cluster A (5.3%, 95% CI: 3.5, 7.0) and Cluster B personality disorders (3.2%, 95% CI: 1.8, 4.6). Of the individual personality disorders, obsessive-compulsive (10.3%, 95% CI: 8.0, 12.6), avoidant (9.3%, 95% CI: 7.1, 11.5), paranoid (3.9%, 95% CI: 3.1, 4.7) and borderline (2.7%, 95% CI: 1.4, 4.0) were among the most prevalent. The prevalence of other personality disorders was low (⩽1.7%). Being younger (25-34 years) was predictive of having any personality disorder (odds ratio: 2.36, 95% CI: 1.18, 4.74), as was being middle-aged (odds ratio: 2.41, 95% CI: 1.23, 4.72). Among the strongest predictors of having any personality disorder was having a lifetime history of psychiatric disorders (odds ratio: 4.29, 95% CI: 2.90, 6.33). Mood and anxiety disorders were the most common comorbid lifetime psychiatric disorders. CONCLUSIONS: Approximately one in five women was identified with a personality disorder, emphasising that personality disorders are relatively common in the population. A more thorough understanding of the distribution of personality disorders and psychiatric comorbidity in the general population is crucial to assist allocation of health care resources to individuals living with these disorders.