The present study sought to understand the rural and remote influences on people’s identification of, and response to, mental health problems. Twenty‐two key informants living in northern and western South Australia were interviewed. They included mental health and generalist health professionals, other human service workers and mental health consumers. Three themes are reported here: reluctance to acknowledge mental health problems and the avoidance of appropriate help; stigma and the avoidance of mental health services; and the influence of rural and remote circumstances. Most informants considered that many mental health problems were amenable to help from generalist workers, with backup support from mental health specialists. Informants thought this intervention to be appropriate because a common view of mental health problems as ‘insanity’ and a culture of self‐reliance created a reluctance to seek help from a mental health specialist. These themes need to be taken into account when designing mental health interventions for rural and remote communities.

Objectives To determine the effectiveness of collaborative care in reducing depression in primary care patients with diabetes or heart disease using practice nurses as case managers. Design A two-arm open randomised cluster trial with wait-list control for 6 months. The intervention was followed over 12 months. Setting Eleven Australian general practices, five randomly allocated to the intervention and six to the control. Participants 400 primary care patients (206 intervention, 194 control) with depression and type 2 diabetes, coronary heart disease or both. Intervention The practice nurse acted as a case manager identifying depression, reviewing pathology results, lifestyle risk factors and patient goals and priorities. Usual care continued in the controls. Main outcome measure A five-point reduction in depression scores for patients with moderate-to-severe depression. Secondary outcome was improvements in physiological measures. Results Mean depression scores after 6 months of intervention for patients with moderate-to-severe depression decreased by 5.7±1.3 compared with 4.3±1.2 in control, a significant (p=0.012) difference. (The plus–minus is the 95% confidence range.) Intervention practices demonstrated adherence to treatment guidelines and intensification of treatment for depression, where exercise increased by 19%, referrals to exercise programmes by 16%, referrals to mental health workers (MHWs) by 7% and visits to MHWs by 17%. Control-practice exercise did not change, whereas referrals to exercise programmes dropped by 5% and visits to MHWs by 3%. Only referrals to MHW increased by 12%. Intervention improvements were sustained over 12 months, with a significant (p=0.015) decrease in 10-year cardiovascular disease risk from 27.4±3.4% to 24.8±3.8%. A review of patients indicated that the study's safety protocols were followed. Conclusions TrueBlue participants showed significantly improved depression and treatment intensification, sustained over 12 months of intervention and reduced 10-year cardiovascular disease risk. Collaborative care using practice nurses appears to be an effective primary care intervention. Trial registration ACTRN12609000333213 (Australia and New Zealand Clinical Trials Registry).

The Sharing Health Care SA chronic disease selfmanagement (CDSM) project in rural South Australia was designed to assist patients with chronic and complex conditions (diabetes, cardiovascular disease and arthritis) to learn how to participate more effectively in the management of their condition and to improve their self-management skills. Participants with chronic and complex conditions were recruited into the Sharing Health Care SA program and offered a range of education and support options (including a 6-week peer-led chronic disease self-management program) as part of the Enhanced Primary Care care planning process. Patient self-reported data were collected at baseline and subsequent 6-month intervals using the Partners in Health (PIH) scale to assess selfmanagement skill and ability for 175 patients across four data collection points. Health providers also scored patient knowledge and self-management skills using the same scale over the same intervals. Patients also completed a modified Stanford 2000 Health Survey for the same time intervals to assess service utilisation and health-related lifestyle factors. Results show that both mean patient self-reported PIH scores and mean health provider PIH scores for patients improved significantly over time, indicating that patients demonstrated improved understanding of their condition and improved their ability to manage and deal with their symptoms. These results suggest that involvement in peer-led selfmanagement education programs has a positive effect on patient self-management skill, confidence and health-related behaviour.

Background Patients can have an important role in reducing harm in primary-care settings. Learning from patient experience and feedback could improve patient safety. Evidence that captures patients’ views of the various contributory factors to creating safe primary care is largely absent. The aim of this study was to address this evidence gap. Methods Four focus groups and eight semistructured interviews were conducted with 34 patients and carers from south-east Australia. Participants were asked to describe their experiences of primary care. Audio recordings were transcribed verbatim and specific factors that contribute to safety incidents were identified in the analysis using the Yorkshire Contributory Factors Framework (YCFF). Other factors emerging from the data were also ascertained and added to the analytical framework. Results Thirteen factors that contribute to safety incidents in primary care were ascertained. Five unique factors for the primary-care setting were discovered in conjunction with eight factors present in the YCFF from hospital settings. The five unique primary care contributing factors to safety incidents represented a range of levels within the primary-care system from local working conditions to the upstream organisational level and the external policy context. The 13 factors included communication, access, patient factors, external policy context, dignity and respect, primary–secondary interface, continuity of care, task performance, task characteristics, time in the consultation, safety culture, team factors and the physical environment. Discussion Patient and carer feedback of this type could help primary-care professionals better understand and identify potential safety concerns and make appropriate service improvements. The comprehensive range of factors identified provides the groundwork for developing tools that systematically capture the multiple contributory factors to patient safety.