Nachruf Dr. Rüdiger Mack

This study explored whether differences exist between those who prefer using internet-based mental health services (e-preferers) in comparison to those who prefer traditional face-to-face mental health services (non e-preferers). Gender, age, level of education, relationship status, location of residence, country of birth, previous use of mental health services, specific e-mental health service concerns, perceptions of helpfulness and future use of mental health services were investigated. Two-hundred and eighteen Australians (female=165, male=53) with ages ranging from 18 to 80 (M=36.6, SD=14.5) accessed the online survey. Results indicated that although 77.1% of respondents preferred face-to-face services only 9.6% indicated they would not use e-mental health services. No differences were found between e-preferers and non e-preferers on any demographic variable and on previous mental health service usage, however, several differences regarding perceptions of helpfulness and future use of services and concerns about e-mental health services were observed. In addition, several individual difference variables (stigma, locus of control, learning styles and personality traits) were explored and found to differ between the two groups (stigma, locus of control and personality traits). These results may help inform the future direction of mental health services, including the need to increase public awareness regarding e-mental health services

The players’ perspective of Reach Out Central : a therapeutic interactive online game

Therapeutic online games are potentially a valuable way of improving the mental health of young people. The purpose of this paper is to discuss the qualitative component of a formal evaluation conducted on Reach Out Central (ROC), an online game for 16-25 year olds which aims to improve mental health. Participants completing a post-program survey from the evaluation (n=154) were required to respond to two open-ended questions; what they liked most, and least, about ROC. Responses indicate that online games can be a successful way of educating, as well as attracting and engaging, young people. Suggestions are made regarding issues future developers should take into consideration when developing programs of a similar nature

The impact of a novel mimicry task for increasing emotion recognition in adults with autism spectrum disorder and alexithymia : protocol for a randomized controlled trial

Background: Impaired facial emotion expression recognition (FEER) has typically been considered a correlate of autism spectrum disorder (ASD). Now, the alexithymia hypothesis is suggesting that this emotion processing problem is instead related to alexithymia, which frequently co-occurs with ASD. By combining predictive coding theories of ASD and simulation theories of emotion recognition, it is suggested that facial mimicry may improve the training of FEER in ASD and alexithymia. Objective: This study aims to evaluate a novel mimicry task to improve FEER in adults with and without ASD and alexithymia. Additionally, this study will aim to determine the contributions of alexithymia and ASD to FEER ability and assess which of these 2 populations benefit from this training task. Methods: Recruitment will primarily take place through an ASD community group with emphasis put on snowball recruiting. Included will be 64 consenting adults equally divided between participants without an ASD and participants with an ASD. Participants will be screened online using the Kessler Psychological Distress Scale (K-10; cut-off score of 22), Autism Spectrum Quotient (AQ-10), and Toronto Alexithymia Scale (TAS-20) followed by a clinical interview with a provisional psychologist at the Federation University psychology clinic. The clinical interview will include assessment of ability, anxiety, and depression as well as discussion of past ASD diagnosis and confirmatory administration of the Autism Mental Status Exam (AMSE). Following the clinical interview, the participant will complete the Bermond-Vorst Alexithymia Questionnaire (BVAQ) and then undertake a baseline assessment of FEER. Consenting participants will then be assigned using a permuted blocked randomization method into either the control task condition or the mimicry task condition. A brief measure of satisfaction of the task and a debriefing session will conclude the study. Results: The study has Federation University Human Research Ethics Committee approval and is registered with the Australian New Zealand Clinical Trials. Participant recruitment is predicted to begin in the third quarter of 2021. Conclusions: This study will be the first to evaluate the use of a novel facial mimicry task condition to increase FEER in adults with ASD and alexithymia. If efficacious, this task could prove useful as a cost-effective adjunct intervention that could be used at home and thus remove barriers to entry. This study will also explore the unique effectiveness of this task in people without an ASD, with an ASD, and with alexithymia. © 2021 JMIR Research Protocols

Managing panic disorder in general practice

BACKGROUND: Panic disorder (PD) is common in the community and contributes to significant distress and decreased quality of life for people who suffer from it. Most people with PD will present in the first instance to their general practitioner or hospital emergency department for assistance, often with a focus on somatic symptoms and concerns. OBJECTIVE: This article aims to assist the GP to manage this group of patients by providing an outline of aetiology, approaches to assessment, and common management strategies. DISCUSSION Although GPs have an important role to play in ruling out any causal organic basis for panic symptoms, the diagnosis of PD can usually be made as a positive diagnosis on the basis of careful history taking. Thorough and empathic education is a vital step in management. The prognosis for PD can be improved by lifestyle changes, specific psychological techniques, and the judicious use of pharmacotherapy

A pilot trial of \u27panic online\u27 as a self-guided treatment for panic disorder

Panic Online (PO) is a well-established evidence-based internet intervention program for panic disorder (PD) (with or without agoraphobia), when supported by a therapist (email or face-to-face). However, there has been no exploration to date as to whether PO is also effective when administered in a self-guided format (i.e. with no therapist assistance provided). The objective of this pilot trial was to examine whether PO as a self-guided program was effective at reducing panic symptomatology and furthermore, whether participants found the program format satisfactory. Pre- and post-treatment clinical interviews were conducted by telephone with six participants and experience of using the self-guided PO program was also explored. Paired samples t-tests revealed that PD and agoraphobia were significantly reduced by post-treatment, but panic frequency (over the previous month) did not significantly change. Qualitatively, all participants reported being satisfied with the program, however all participants reported that access to human support during the intervention (e.g. to answer questions, to be heard, to help motivate) was preferable. Initial pilot data suggests that PO self-guided works effectively as a stand-alone clinical internet-based treatment program for PD, however additional research is required to definitively establish its efficacy

Towards machine learning approach for digital-health intervention program

Digital-Health intervention (DHI) are used by health care providers to promote engagement within community. Effective assignment of participants into DHI programs helps increasing benefits from the most suitable intervention. A major challenge with the roll-out and implementation of DHI, is in assigning participants into different interventions. The use of biopsychosocial model [18] for this purpose is not wide spread, due to limited personalized interventions formed on evidence-based data-driven models. Machine learning has changed the way data extraction and interpretation works by involving automatic sets of generic methods that have replaced the traditional statistical techniques. In this paper, we propose to investigate relevance of machine learning for this purpose and is carried out by studying different non-linear classifiers and compare their prediction accuracy to evaluate their suitability. Further, as a novel contribution, real-life biopsychosocial features are used as input in this study. The results help in developing an appropriate predictive classication model to assign participants into the most suitable DHI. We analyze biopsychosocial data generated from a DHI program and study their feature characteristics using scatter plots. While scatter plots are unable to reveal the linear relationships in the data-set, the use of classifiers can successfully identify which features are suitable predictors of mental ill health

Suicidality among older Australian adults

Background: Vulnerability to suicidality is a concern among older adults, particularly as this proportion of the population is growing. Determining what factors contribute to suicidality will help to create a framework for understanding and assessing suicidal risk among older adults and developing effective treatments. This study examined suicidality among older Australian adults. Methods: This study forms part of a larger study to trial a survey to collect cross-sectional data on the mental and physical health of older Australian adults across time. One hundred and fourteen Australian residents aged 65 years and over completed an anonymous survey online or by returning a paper-and-pencil version of the survey by post. The survey took approximately 25 min to complete and comprised of (1) sociodemographic questions (e.g., age, gender, education), (2) validated questionnaires measuring depression, general anxiety, psychological distress, insomnia, substance dependence, problem gambling, and stress, and (3) mental and physical health and wellbeing items (e.g., religiosity, assistance with daily tasks, and mental health service usage in the last 12-months). The dependent variable, suicidality, was measured by asking participants whether they had ever seriously thought about committing suicide. Results: Associations with suicidality were analyzed using Chi-squares and independent samples t-tests. The results found suicidality to be significantly associated with lower levels of satisfaction with the frequency of seeing and/or communicating with friends, and inadequate levels of community engagement. Conclusion: The results of this survey reinforce the importance of social connectedness as a central and significant protective factor against suicidality among older adults. Copyright © 2023 Klein, Shandley, McLaren, Clinnick and Nguyen

GP and nurses' perceptions of how after hours care for people receiving palliative care at home could be improved: a mixed methods study

<p>Abstract</p> <p>Background</p> <p>Primary health care providers play a dominant role in the provision of palliative care (PC) in Australia but many gaps in after hours service remain. In some rural areas only 19% of people receiving palliative care achieve their goal of dying at home. This study, which builds on an earlier qualitative phase of the project, investigates the gaps in care from the perspective of general practitioners (GPs) and PC nurses.</p> <p>Methods</p> <p>Questionnaires, developed from the outcomes of the earlier phase, and containing both structured and open ended questions, were distributed through Divisions of General Practice (1 urban, 1 rural, 1 mixed) to GPs (n = 524) and through a special interest group to palliative care nurses (n = 122) in both rural and urban areas.</p> <p>Results</p> <p>Questionnaires were returned by 114 GPs (22%) and 52 nurses (43%). The majority of GPs were associated with a practice which provided some after hours services but PC was not a strong focus for most. This was reflected in low levels of PC training, limited awareness of the existence of after hours triage services in their area, and of the availability of Enhanced Primary Care (EPC) Medicare items for care planning for palliative patients. However, more than half of both nurses and GPs were aware of accessible PC resources.</p> <p>Factors such as poor communication and limited availability of after hours services were identified the as most likely to impact negatively on service provision. Strategies considered most likely to improve after hours services were individual patient protocols, palliative care trained respite carers and regular multidisciplinary meetings that included the GP.</p> <p>Conclusion</p> <p>While some of the identified gaps can only be met by long term funding and policy change, educational tools for use in training programs in PC for health professionals, which focus on the utilisation of EPC Medicare items in palliative care planning, the development of advance care plans and good communication between members of multidisciplinary teams, which include the GP, may enhance after hours service provision for patients receiving palliative care at home. The role of locums in after PC is an area for further research</p

Do GPs use electronic mental health resources? A qualitative study

BACKGROUNDThe Better Outcomes in Mental Health Care (BOMHC) initiative encourages general practitioners to use electronic mental health resources (EMHRs) during consultation with patients requiring psychological assistance. However, there is little data on GPs&rsquo; acceptance and use of EMHRs.METHODSemistructured interviews were conducted with 27 GPs to determine their attitude toward EMHRs, and their use during consultation with patients.RESULTSFew GPs reported frequently using EMHRs in consultation. Identified barriers to use included lack of familiarity with information technology, and insufficient knowledge of available resources. Identified advantages of electronic resources included high patient acceptance, time efficiency, and improved quality of information.DISCUSSIONGeneral practitioners recognise several advantages of utilising electronic resources for managing patients with mental illness. However, GPs are not sufficiently familiar with electronic resources to use them effectively. This could be overcome by education.<br /

The diagnostic validity and reliability of an internet-based clinical assessment program for mental disorders

BACKGROUND: Internet-based assessment has the potential to assist with the diagnosis of mental health disorders and overcome the barriers associated with traditional services (eg, cost, stigma, distance). Further to existing online screening programs available, there is an opportunity to deliver more comprehensive and accurate diagnostic tools to supplement the assessment and treatment of mental health disorders. OBJECTIVE: The aim was to evaluate the diagnostic criterion validity and test-retest reliability of the electronic Psychological Assessment System (e-PASS), an online, self-report, multidisorder, clinical assessment and referral system. METHODS: Participants were 616 adults residing in Australia, recruited online, and representing prospective e-PASS users. Following e-PASS completion, 158 participants underwent a telephone-administered structured clinical interview and 39 participants repeated the e-PASS within 25 days of initial completion. RESULTS: With structured clinical interview results serving as the gold standard, diagnostic agreement with the e-PASS varied considerably from fair (eg, generalized anxiety disorder: &kappa;=.37) to strong (eg, panic disorder: &kappa;=.62). Although the e-PASS\u27 sensitivity also varied (0.43-0.86) the specificity was generally high (0.68-1.00). The e-PASS sensitivity generally improved when reducing the e-PASS threshold to a subclinical result. Test-retest reliability ranged from moderate (eg, specific phobia: &kappa;=.54) to substantial (eg, bulimia nervosa: &kappa;=.87). CONCLUSIONS: The e-PASS produces reliable diagnostic results and performs generally well in excluding mental disorders, although at the expense of sensitivity. For screening purposes, the e-PASS subclinical result generally appears better than a clinical result as a diagnostic indicator. Further development and evaluation is needed to support the use of online diagnostic assessment programs for mental disorders. <br /