Identifying educational priorities for occupational therapy students to prepare for mental health practice in Australia and New Zealand: opinions of practising occupational therapists

BACKGROUND: The effective preparation of occupational therapy students for mental health practice is critical to facilitate positive consumer outcomes, underpin optimal practice and support new graduates' professional identity. This project was established to determine a set of 'educational priorities' for occupational therapy students to prepare them for current (and future) entry-level practice in mental health, from the perspective of mental health occupational therapists in Australia and New Zealand. METHODS: The study included two phases. In Phase One, participants identified what they considered to be important educational priorities for occupational therapy students to prepare them for practice in mental health. For Phase Two, an 'expert panel' was assembled to review and rank these using a Policy Delphi approach. RESULTS: Eighty-five participants provided educational priorities in Phase One. These were grouped into a total of 149 educational themes. In Phase Two, the expert panel (consisting of 37 occupational therapists from diverse locations and practice settings) prioritised these themes across three Delphi rounds. A final priority list was generated dividing educational themes into three prioritised categories: 29 'Essential', 25 'Important' and 44 'Optional' priorities. Highest-ranked priorities were: clinical reasoning, client-centred practice, therapeutic use of self, functional implications of mental illness, therapeutic use of occupation and mental health fieldwork experience. CONCLUSION: The priority list developed as part of this project provides additional information to support the review of occupational therapy curricula across Australia and New Zealand to ensure that new graduates are optimally prepared for mental health practice.

An integrated workplace mental health intervention in a policing context: protocol for a cluster randomised control trial

BACKGROUND: In this paper, we present the protocol for a cluster-randomised trial to evaluate the implementation and effectiveness of a workplace mental health intervention in the state-wide police department of the south-eastern Australian state of Victoria. n. The primary aims of the intervention are to improve psychosocial working conditions and mental health literacy, and secondarily to improve mental health and organisational outcomes.

METHODS/DESIGN: The intervention was designed collaboratively with Victoria Police based on a mixed methods pilot study, and combines multi-session leadership coaching for the senior officers within stations (e.g., Sergeants, Senior Sergeants) with tailored mental health literacy training for lower and upper ranks. Intervention effectiveness will be evaluated using a two-arm cluster-randomised trial design, with 12 police stations randomly assigned to the intervention and 12 to the non-intervention/usual care control condition. Data will be collected from all police members in each station (estimated at >20 per station). Psychosocial working conditions (e.g., supervisory support, job control, job demands), mental health literacy (e.g., knowledge, confidence in assisting someone who may have a mental health problem), and mental health will be assessed using validated measures. Organisational outcomes will include organisational depression disclosure norms, organisational cynicism, and station-level sickness absence rates. The trial will be conducted following CONSORT guidelines. Identifying data will not be collected in order to protect participant privacy and to optimise participation, hence changes in primary and secondary outcomes will be assessed using a two-sample t-test comparing summary measures by arm, with weighting by cluster size.

DISCUSSION: This intervention is novel in its integration of stressor-reduction and mental health literacy-enhancing strategies. Effectiveness will be rigorously evaluated, and if positive results are observed, the intervention will be adapted across Victoria Police (total employees ~16,500) as well as possibly in other policing contexts, both nationally and internationally.

Nonparametric discovery of online mental health-related communities

People are increasingly using social media, especially online communities, to discuss mental health issues and seek supports. Understanding topics, interaction, sentiment and clustering structures of these communities informs important aspects of mental health. It can potentially add knowledge to the underlying cognitive dynamics, mood swings patterns, shared interests, and interaction. There has been growing research interest in analyzing online mental health communities; however sentiment analysis of these communities has been largely under-explored. This study presents an analysis of online Live Journal communities with and without mental health-related conditions including depression and autism. Latent topics for mood tags, affective words, and generic words in the content of the posts made in these communities were learned using nonparametric topic modelling. These representations were then input into a nonparametric clustering to discover meta-groups among the communities. The best performance results can be achieved on clustering communities with latent mood-based representation for such communities. The study also found significant differences in usage latent topics for mood tags and affective features between online communities with and without affective disorders. The findings reveal useful insights into hyper-group detection of online mental health-related communities.

A framework for classifying online mental health related communities with an interest in depression

Mental illness has a deep impact on individuals, families, and by extension, society as a whole. Social networks allow individuals with mental disorders to communicate with others sufferers via online communities, providing an invaluable resource for studies on textual signs of psychological health problems. Mental disorders often occur in combinations, e.g., a patient with an anxiety disorder may also develop depression. This co-occurring mental health condition provides the focus for our work on classifying online communities with an interest in depression. For this, we have crawled a large body of 620,000 posts made by 80,000 users in 247 online communities. We have extracted the topics and psycho-linguistic features expressed in the posts, using these as inputs to our model. Following a machine learning technique, we have formulated a joint modelling framework in order to classify mental health-related co-occurring online communities from these features. Finally, we performed empirical validation of the model on the crawled dataset where our model outperforms recent state-of-the-art baselines.

Higher adherence to the Australian dietary guidelines is associated with better mental health status among Australian adult first-time mothers

Background: Mental health disorders are a leading cause of disability worldwide, including in first-time mothers. Understanding the associations between diet and depressive symptoms could assist in improving mental health status in this group. Objective: Our aim was to determine the association between diet quality, fruit, vegetable, and fish consumption and depressive symptoms in first-time mothers aged 19 to 45 years.

Design: We analyzed cross-sectional, baseline data (3 months postpartum) from the Melbourne InFANT (Infant Feeding, Activity, and Nutrition Trial) Extend Program.

Participants/setting: Participants were first-time Australian mothers aged 19 to 45 years from the Geelong and Melbourne regions of Victoria, Australia (n=457).

Main outcome measures: A self-administered, 137-item food frequency questionnaire assessed dietary intake over the past year. Adherence to the 2013 Australian Dietary Guidelines was assessed using the Dietary Guideline Index as a measure of diet quality. Depressive symptoms were determined using the Center for Epidemiologic Studies Depression Scale.

Statistical analysis performed: Relationships between diet quality, fruit, vegetable, and fish intake and depressive symptoms were investigated using linear regression adjusted for relevant covariates (age, smoking status, sleep quality, education, physical activity status, and body mass index).

Results: Better diet quality, as indicated by a higher score on the Dietary Guideline Index, was associated with lower depressive symptoms after adjusting for relevant covariates (β=-.034; 95% CI -.056 to -0.012). There were no other associations between dietary intake and depressive symptoms.

Conclusions: Adherence to the Australian Dietary Guidelines was associated with better mental health status among first-time mothers. Further research, including longitudinal and intervention studies, are required to determine causality between dietary intake and depressive symptoms, which might help inform future public health nutrition programs for this target group.

Development and interrater reliability of the UK Mental Health Triage Scale

Mental health triage scales are clinical tools used at point of entry to specialist mental health service to provide a systematic way of categorizing the urgency of clinical presentations, and determining an appropriate service response and an optimal timeframe for intervention. The aim of the present study was to test the interrater reliability of a mental health triage scale developed for use in UK mental health triage and crisis services. An interrater reliability study was undertaken. Triage clinicians from England and Wales (n = 66) used the UK Mental Health Triage Scale (UK MHTS) to rate the urgency of 21 validated mental health triage scenarios derived from real occasions of triage. Interrater reliability was calculated using Kendall's coefficient of concordance (w) and intraclass correlation coefficient (ICC) statistics. The average ICC was 0.997 (95% confidence interval (CI): 0.996-0.999 (F (20, 1300) = 394.762, P < 0.001). The single measure ICC was 0.856 (95% CI: 0.776-0.926 (F (20, 1300) = 394.762, P < 0.001). The overall Kendall's w was 0.88 (P < 0.001). The UK MHTS shows substantial levels of interrater reliability. Reliable mental health triage scales employed within effective mental health triage systems offer possibilities for not only improved patient outcomes and experiences, but also for efficient use of finite specialist mental health services.

The impact of leisure participation on mental health for older people with depression: a systematic review

Aims: This systematic review aimed to discover whether participation in individually chosen leisure activities improved mental health for people aged over 65 who have depression. Methods: Twenty-six potentially relevant studies were identified from an electronic database review. Of these 12 met the inclusion criteria and scope of the review. Results: The current evidence base is relatively small, and includes a diversity of subject groups, subject situations, and study designs. In all cases, participants were either directed to choose from a number of leisure activities, or provided with a pre-designed program that did not allow for individual choice. Conclusion: Currently, there is insufficient evidence available to determine whether participation in individually chosen leisure activities improves mental health for people aged over 65 who have depression.

The influence of maternal mental health, attachment and hormonal factors on a mother’s attachment to her fetus during pregnancy

 The thesis investigated the role of maternal mental health, maternal attachment and hormones in the development of maternal-fetal attachment during pregnancy. The study found that oxytocin and cortisol were associated with maternal-fetal attachment throughout pregnancy. The study also found that maternal mental health, particularly anxiety, stress and depression during the prenatal period impacted on the development of maternal-fetal attachment across pregnancy. The findings have clinical and research implications with regard to early intervention for attachment and maternal well-being.