Peter Harvey

In the light of various complaints about the quality of care provided by and operation of aged care facilities across Australia, the Commonwealth Government has announced a Royal Commission into the activities of the sector. As the proportion of Australians over 65 continues to grow with the ageing of the ‘Baby Boomer’ generation, more Australians are seeking secure aged care arrangements to meet their increasingly complex living and healthcare needs. We hear much comment today about the concept of healthy ageing and the importance of older people staying connected to and active in their communities. Not only does this ongoing connectivity support better lifestyles and health status, it provides an avenue for older people to contribute to the support of others once their more formal working lives are concluded. Unfortunately, the gap between the rhetoric and the reality of ageing in Australia is strained and it appears that much about the operations of the aged care sector today is less than satisfactory. While some well-funded retirees can afford comfortable and fulfilling living arrangements, many others are left in less ideal circumstances. With aged care organisations currently building the next generation of ‘hotel’ style living arrangements for cashed up self-funded retirees, others are being left behind financially and in terms of the quality of their care. At the same time, maltreatment and abuse of residents is coming to light, as in the ‘Oakden Nursing Home’ situation in South Australia, for example. Consequently, the Federal Government has now launched a formal inquiry into the activities of organisations running aged care facilities in Australia. The inquiry is designed to assess the operation of this industry with a focus on the economics of aged care centres, the quality of care, the food and recreational activities provided and the challenge of staffing these facilities to keep residents safe and well as they age in dignity.

The availability of legalized gambling products has increased over the past three decades. Though the negative personal consequences of problem gambling (PG) are well documented, a comprehensive picture of gambling-related harm from the perspective of concerned significant others (CSOs) is lacking. The aim of this systematic review was firstly, to describe the nature of existing peer-reviewed published studies from inception through to July 2018 that have directly engaged CSOs concerning gambling-related harm. Secondly, to synthesize this literature and describe the impacts of PG on CSOs; how CSOs respond to gambling-related harm; identify gaps in the literature, and provide specific directions for future research. A systematic search strategy identified 53 studies. Following the extraction of data, a meta-synthesis was conducted on the 26 quantitative, 21 qualitative and 6 mixed-methods studies. Partners are especially impacted, suffering both mental and physical health problems. Children are also particularly affected, and appear to suffer silently due to their reluctance to disclose their parental PG worries. Problem gambling treatment and counselling services should take into account the pervasiveness of the impacts of PG, and be equipped to respond appropriately to the needs of CSOs. Future research should focus on male CSOs, and CSOs associated with non-help-seeking problem gamblers.

Little is known about the change processes in gambling disorder-specific cognitive therapy (CT) and exposure therapy (ET). These therapies are underpinned by the cognitive approach (i.e., restructuring gambling cognitions) and the psychobiological approach (i.e., elimination of gambling urges) to treating problem gambling. Here, piecewise-linear modelling is used in a secondary analysis of randomised trial data for a CT group (n = 44) versus an ET group (n = 43) with the aim to open a discourse on how individuals respond to CT and ET relative to theory. Measures were administered between therapy sessions (average = 6.2 per individual) across 18 weeks for gambling urge (GUS) and gambling cognitions (GRCS). Results indicated the ET group had a stronger reduction in GUS (p < .01) in the first 4 weeks of treatment. Between 4–12 weeks, improvement in GUS (p < .01) and GRCS (p = .02) was more rapid in the CT group. Both groups experienced comparable improvements from 12–18 weeks. These findings have implications for further treatment development, including a combined cognitive and exposure approach that is flexibly adapted to the patient. A larger trial is needed to formally establish change processes and identify differences in problem gambler subgroups. This would provide therapists capacity to offer each patient a clear direction and an expedited pathway to their preferred outcome.

Currently, it is unknown whether treatment outcomes derived from randomized controlled trials (RCTs) of cognitive–behavioural therapy (CBT) for problem gamblers still hold when applied to patients seen in routine practice. Thus, data from an RCT of cognitive therapy versus exposure therapy for problem gambling versus patients of a gambling help service were compared. Assessments of problem gambling severity, psychosocial impairment, and alcohol use were undertaken at baseline and post‐treatment and evaluated within a counterfactual framework. Findings showed that the contrast between routine CBT for pokies and horse betting had a significant effect, indicative of a 62% lower gambling urge score if routine CBT recipients had all been horse/track betters opposed to gambling with “pokies.” However, the majority of contrasts indicated therapeutic outcomes achieved in routine CBT treatments were of equivalent robustness relative to RCT conditions. The present findings infer routine practice treatment outcomes are as efficacious as those generated in RCT contexts.

The Partners in Health scale is a structurally valid measure of chronic condition self-management behaviours. This report describes a study that further evaluated construct validity of Partners in Health scale by assessing its relationship with a single-item measure of general self-rated health. The concurrent validity of the scale was demonstrated by a statistically significant association with general self-rated health in a population representative sample of people with chronic conditions.

The widespread introduction of electronic gaming machines (EGMs) in Australia has seen problem gambling (PG) rates soar over the past decade. This has been particularly apparent among women, with presentations to gambling help services increasing fivefold, and 90% of them indicating EGMs as the problem. Prisoners represent a group containing the highest PG rate found in any population. Despite a sharp increase in PG among women and the well-established link between offenders and PG, little data exists concerning PG among female prisoners. This study examined lifetime prevalence of PG among female prisoners in South Australia. The Early Intervention Gambling Health Test was administered to 74 female prisoners. Previous help-seeking behaviour and association with incarceration were also examined. Sixty-four percent of respondents indicated PG with one in six reporting they were incarcerated due to PG-related offending. Problem gamblers whose incarceration was related to PG were more likely to indicate they had gambled to try and win money to repay debts than problem gamblers incarcerated for unrelated offending. Given high levels of PG and overall low rates of help-seeking, women’s prisons may provide an opportunity to engage this high-risk population with effective treatment.

Introduction The prevalence of disordered gambling worldwide has been estimated at 2.3%. Only a small minority of disordered gamblers seek specialist face-to-face treatment, and so a need for alternative treatment delivery models that capitalise on advances in communication technology, and use self-directed activity that can complement existing services has been identified. As such, the primary aim of this study is to evaluate an online self-directed cognitive–behavioural programme for disordered gambling (GamblingLess: For Life). Methods and analysis The study will be a 2-arm, parallel group, pragmatic randomised trial. Participants will be randomly allocated to a pure self-directed (PSD) or guided self-directed (GSD) intervention. Participants in both groups will be asked to work through the 4 modules of the GamblingLess programme over 8 weeks. Participants in the GSD intervention will also receive weekly emails of guidance and support from a gambling counsellor. A total of 200 participants will be recruited. Participants will be eligible if they reside in Australia, are aged 18 years and over, have access to the internet, have adequate knowledge of the English language, are seeking help for their own gambling problems and are willing to take part in the intervention and associated assessments. Assessments will be conducted at preintervention, and at 2, 3 and 12 months from preintervention. The primary outcome is gambling severity, assessed using the Gambling Symptom Assessment Scale. Secondary outcomes include gambling frequency, gambling expenditure, psychological distress, quality of life and additional help-seeking. Qualitative interviews will also be conducted with a subsample of participants and the Guides (counsellors). Ethics and dissemination The study has been approved by the Deakin University Human Research and Eastern Health Human Research Ethics Committees. Findings will be disseminated via report, peer-reviewed publications and conference presentations. Trial registration number ACTRN12615000864527; results.

The 12-item Partners in Health scale (PIH) was developed in Australia to measure self-management behaviour and knowledge in patients with chronic diseases, and has undergone several changes. Our aim was to assess the construct validity and reliability of the latest PIH version in Dutch COPD patients. The 12 items of the PIH, scored on a self-rated 9-point Likert scale, are used to calculate total and subscale scores (knowledge; coping; recognition and management of symptoms; and adherence to treatment). We used forward-backward translation of the latest version of the Australian PIH to define a Dutch PIH (PIH(Du)). Mokken Scale Analysis and common Factor Analysis were performed on data from a Dutch COPD sample to investigate the psychometric properties of the Dutch PIH; and to determine whether the four-subscale solution previously found for the original Australian PIH could be replicated for the Dutch PIH. Two subscales were found for the Dutch PIH data (n = 118); 1) knowledge and coping; 2) recognition and management of symptoms, adherence to treatment. The correlation between the two Dutch subscales was 0.43. The lower-bound of the reliability of the total scale equalled 0.84. Factor analysis indicated that the first two factors explained a larger percentage of common variance (39.4% and 19.9%) than could be expected when using random data (17.5% and 15.1%). We recommend using two PIH subscale scores when assessing self-management in Dutch COPD patients. Our results did not support the four-subscale structure as previously reported for the original Australian PIH.

Purpose To evaluate the factor structure of the revised Partners in Health (PIH) scale for measuring chronic condition self-management in a representative sample from the Australian community. Methods A series of consultations between clinical groups underpinned the revision of the PIH. The factors in the revised instrument were proposed to be: knowledge of illness and treatment, patient–health professional partnership, recognition and management of symptoms and coping with chronic illness. Participants (N = 904) reporting having a chronic illness completed the revised 12-item scale. Two a priori models, the 4-factor and bi-factor models were then evaluated using Bayesian confirmatory factor analysis (BCFA). Final model selection was established on model complexity, posterior predictive p values and deviance information criterion. Results Both 4-factor and bi-factor BCFA models with small informative priors for cross-loadings provided an acceptable fit with the data. The 4-factor model was shown to provide a better and more parsimonious fit with the observed data in terms of substantive theory. McDonald’s omega coefficients indicated that the reliability of subscale raw scores was mostly in the acceptable range. Conclusion The findings showed that the PIH scale is a relevant and structurally valid instrument for measuring chronic condition self-management in an Australian community. The PIH scale may help health professionals to introduce the concept of self-management to their patients and provide assessment of areas of self-management. A limitation is the narrow range of validated PIH measurement properties to date. Further research is needed to evaluate other important properties such as test–retest reliability, responsiveness over time and content validity.