Australian and New Zealand Journal of Psychiatry最新文献

Objective: Trauma, social support and stress have been identified as factors which may be associated with the bipolar disorder illness course. However, these are yet to be examined in prospective studies as predictors of illness outcomes and overall quality of life in bipolar disorder.

Method: One hundred and fourteen participants (N = 97; 85.1% female) living with bipolar disorder I (41.2%) or II (58.8%) completed a semi-structured interview and a range of self-report measures assessing trauma history, social support, perceived stress, depression, anxiety, mania, suicidality, number of mood episodes and quality of life, at baseline and 6-month follow-up.

Results: Childhood cumulative trauma, social support and perceived stress accounted for a substantial and significant portion of the variance in quality of life (62%; 23.6%), anxiety severity (34.6%; 24.5%) and depression severity (49.6%; 26.7%), at both baseline and 6-month follow-up. Perceived stress made significant unique contributions to the prediction of all outcomes, and social support made significant unique contributions to depression and quality of life in bipolar disorder.

Conclusion: Stress and social support play an important role in bipolar disorder and in quality of life for people living with this condition. Given that stress and social support are modifiable risk factors, this provides a promising direction for future intervention-based research.

Background: Eating disorders are as common in Māori, the Indigenous people of Aotearoa-New Zealand, as they are in non-Māori; however, research has focused on the experiences of non-Māori. This paper will describe explanatory factors, treatment experiences and what helps with recovery for Māori.

Methods: Kaupapa Māori research methodology informed the methods and analysis. Fifteen semi-structured interviews comprised thirteen Māori participants with eating disorders (anorexia nervosa, bulimia nervosa and binge eating disorder) and two whānau (support network) members. A thematic analysis was undertaken by a first cycle of coding that used deductive structural coding to identify data describing participants' perceived causes of eating disorders, their experience of treatment and recovery. A second cycle of coding used inductive analysis with descriptive and pattern coding.

Results: Three overarching themes were antecedents (cumulative exposure), treatment (a system of complexities) and recovery (resource empowerment). Antecedents comprised cumulative exposure to body and sporting ideals and adversity as causal factors of eating disorders. In the treatment theme, a system of complexities critiqued rural settings for generalised mental health services, allocation of Māori cultural support, the economic burden of treatment, culturally incongruent treatment (methods, values) and a weight-focused discharge criterion. Recovery (resource empowerment) found appropriate health information, self-determination and connection to Māori culture and whānau aspirations helped with recovery.

Conclusion: The diversity of birdcalls reminds us of the individuality of eating disorders. Health practitioners are reminded that just as the Tūī, Kākā and Kererū possess their own unique birdcalls, so do Māori with eating disorders and their whānau have their own experiences, needs and required treatment responses.

Objective: To determine antipsychotic utilisation patterns in Australian adults from 2005 to 2021, with a focus on on-label and off-label prescriptions.

Methods: We examined antipsychotic dispensing trends in adults from 2005 to 2021 using a 10% sample of the Pharmaceutical Benefits Scheme (PBS) dataset, which contains patient-level information on medicines dispensed throughout Australia. The lack of diagnostic information in PBS was substituted by analysing BEACH (Bettering the Evaluation And Care of Health) dataset, a cross-sectional national survey from 2000 to 2016, consisting of data from general practitioner-patient encounters.

Results: There were 5.6 million dispensings for 164,993 patients in PBS throughout this period; 69% patients had >1 dispensing, with a median of 6 per patient. Calculating the estimated period of exposure gave a total of 693,562 treatment episodes, with a median duration of 80 days. There were steady increases in both the incidence and prevalence of antipsychotic dispensings, mainly due to oral second-generation antipsychotics. The most commonly prescribed antipsychotics were quetiapine, olanzapine and risperidone, with a significant portion of patients receiving low-dose quetiapine without dose titration. Analysis of diagnostic indications from BEACH indicated that 27% of antipsychotic prescriptions were off-label for indications such as depression, dementia, anxiety and insomnia, at much lower prescribed daily dosages.

Conclusion: The increasing prescribing and off-label use highlights concerns about chronic adverse effects caused by antipsychotics. The combined analysis of medication dispensings and the diagnostic indications for which they are prescribed is a novel approach and throws a spotlight on the need for additional monitoring of antipsychotics.

Introduction: The 10-item Kessler Psychological Distress Scale (K10) is used to screen adolescents for mental disorders in Australian clinical practice; however, there are no Australian adolescent normative data.

Methods: Data were drawn from a nationally representative sample (N = 2964) of Australian adolescents (11-17 years). This study had three aims: (1) to examine concurrent validity between the K10 and Strengths and Difficulties Questionnaire (SDQ) emotional symptoms subscale, (2) to establish normative Australian adolescent K10 data and (3) to determine optimal K10 cut-off scores for screening for major depressive disorder (MDD) via receiver operator characteristic curve analysis and stratum-specific likelihood ratios.

Results: The K10 and SDQ emotional symptoms scales were moderately correlated (r_s = 0.63, p < 0.001). Older female adolescents reported higher total K10 scores compared with younger female adolescents (15-17 years: M = 20.2, standard error [SE] = 0.3; 11-14 years: M = 16.8, SE = 0.3) and male adolescents (11-14 years: M = 16.6, SE = 0.2; 15-17 years: M = 16.0, SE=0.2). K10 scores to optimally discriminate those with and without MDD varied by age and sex and had low specificities. Stratum-specific likelihood ratios indicated adolescents with a K10 score of ≥30 will have a 12.9 (95% confidence interval = [10.2, 16.2]) increased likelihood of MDD.

Conclusion: The K10 has utility for assessing psychological distress in health care and epidemiological research in Australian adolescents. Adolescents with K10 scores in the 'very high' range are at increased risk of MDD. Further assessment of these young people is indicated to identify those with or at risk of developing MDD.

Objective: The aim of this study was to test the effectiveness of a tailored quitline tobacco treatment ('Quitlink') among people receiving support for mental health conditions.

Methods: We employed a prospective, cluster-randomised, open, blinded endpoint design to compare a control condition to our 'Quitlink' intervention. Both conditions received a brief intervention delivered by a peer researcher. Control participants received no further intervention. Quitlink participants were referred to a tailored 8-week quitline intervention delivered by dedicated Quitline counsellors plus combination nicotine replacement therapy. The primary outcome was self-reported 6 months continuous abstinence from end of treatment (8 months from baseline). Secondary outcomes included additional smoking outcomes, mental health symptoms, substance use and quality of life. A within-trial economic evaluation was conducted.

Results: In total, 110 participants were recruited over 26 months and 91 had confirmed outcomes at 8 months post baseline. There was a difference in self-reported prolonged abstinence at 8-month follow-up between Quitlink (16%, n = 6) and control (2%, n = 1) conditions, which was not statistically significant (OR = 8.33 [0.52, 132.09] p = 0.131 available case). There was a significant difference in favour of the Quitlink condition on 7-day point prevalence at 2 months (OR = 8.06 [1.27, 51.00] p = 0.027 available case). Quitlink costs AU$9231 per additional quit achieved.

Conclusion: The Quitlink intervention did not result in significantly higher rates of prolonged abstinence at 8 months post baseline. However, engagement rates and satisfaction with the 'Quitlink' intervention were high. While underpowered, the Quitlink intervention shows promise. A powered trial to determine its effectiveness for improving long-term cessation is warranted.

The advent of dopamine (D2) receptor-blocking medications over 70 years ago, ushered in a new era of biological treatment for schizophrenia. However, we argue that little subsequent progress has been made in translating this into fulfilled and fulfilling lives for people with schizophrenia. This Viewpoint asks why this is the case, and suggests ways forward for capitalising on extant and emerging new treatments for psychotic disorders, to the betterment of the lives of people living with schizophrenia.

Objective: Characteristics of difficult-to-treat depression (DTD), including infrequent symptom remission and poor durability of benefit, compel reconsideration of the outcome metrics historically used to gauge the effectiveness of antidepressant interventions.

Methods: Self-report and clinician assessments of depression symptom severity were obtained regularly over a 2-year period in a difficult-to-treat depression registry sample receiving treatment as usual (TAU), with or without vagus nerve stimulation (VNS). Alternative outcome metrics for characterizing symptom change were compared in effect size and discriminating power in distinguishing the vagus nerve stimulation + treatment as usual and treatment as usual treatment groups. We expected metrics based on remission status to produce weaker between-group separation than those based on the classifications of partial response or response and metrics that integrate information over time to produce greater separation than those based on single endpoint assessment.

Results: Metrics based on remission status had smaller effect size and poorer discrimination in separating the treatment groups than metrics based on partial response or response classifications. Metrics that integrated information over the 2-year observation period had stronger performance characteristics than those based on symptom scores at single endpoint assessment. For both the clinician-rated and self-report depression ratings, the metrics with the strongest performance characteristics were the median percentage change in symptom scores over the observation period and the proportion of the observation period in partial response or better.

Conclusion: In difficult-to-treat depression, integrative symptom severity-based and time-based measures are sensitive and informative outcomes for assessing between-group treatment effects, while metrics based on remission status are not.