Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study.

BACKGROUND: Rates of obesity have increased globally and weight stigma is commonly experienced by people with obesity. Feeling stigmatised because of one's weight can be a barrier to healthy eating, physical activity and to seeking help for weight management. The aim of this study was to identify predictors of perceived weight among middle-older aged patients with obesity attending general practices in socioeconomically disadvantaged urban areas of Australia. METHODS: As part of a randomised clinical trial in Australia, telephone interviews were conducted with 120 patients from 17 general practices in socioeconomically disadvantaged of Sydney and Adelaide. Patients were aged 40-70 years with a BMI ≥ 30 kg/m2. The interviews included questions relating to socio-demographic variables (e.g. gender, language spoken at home), experiences of weight-related discrimination, and the Health Literacy Questionnaire (HLQ). Multi-level logistic regression data analysis was undertaken to examine predictors of recent experiences of weight-related discrimination ("weight stigma"). RESULTS: The multi-level model showed that weight stigma was positively associated with obesity category 2 (BMI = 35 to < 40; OR 4.47 (95% CI 1.03 to 19.40)) and obesity category 3 (BMI = ≥ 40; OR 27.06 (95% CI 4.85 to 150.95)), not being employed (OR 7.70 (95% CI 2.17 to 27.25)), non-English speaking backgrounds (OR 5.74 (95% CI 1.35 to 24.45)) and negatively associated with the HLQ domain: ability to actively engage with healthcare providers (OR 0.12 (95% CI 0.05 to 0.28)). There was no association between weight stigma and gender, age, education or the other HLQ domains examined. CONCLUSIONS: Weight stigma disproportionately affected the patients with obesity most in need of support to manage their weight: those with more severe obesity, from non-English speaking backgrounds and who were not in employment. Additionally, those who had experienced weight stigma were less able to actively engage with healthcare providers further compounding their disadvantage. This suggests the need for a more proactive approach to identify weight stigma by healthcare providers. Addressing weight stigma at the individual, system and population levels is recommended. TRIAL REGISTRATION: The trial was registered with the Australian Clinical Trials Registry ACTRN126400102162 .

An Australian general practice based strategy to improve chronic disease prevention, and its impact on patient reported outcomes: evaluation of the preventive evidence into practice cluster randomised controlled trial.

BACKGROUND: Implementing evidence-based chronic disease prevention with a practice-wide population is challenging in primary care. METHODS: PEP Intervention practices received education, clinical audit and feedback and practice facilitation. Patients (40­69 years) without chronic disease from trial and control practices were invited to participate in baseline and 12 month follow up questionnaires. Patient-recalled receipt of GP services and referral, and the proportion of patients at risk were compared over time and between intervention and control groups. Mean difference in BMI, diet and physical activity between baseline and follow up were calculated and compared using a paired t-test. Change in the proportion of patients meeting the definition for physical activity diet and weight risk was calculated using McNemar's test and multilevel analysis was used to determine the effect of the intervention on follow-up scores. RESULTS: Five hundred eighty nine patients completed both questionnaires. No significant changes were found in the proportion of patients reporting a BP, cholesterol, glucose or weight check in either group. Less than one in six at-risk patients reported receiving lifestyle advice or referral at baseline with little change at follow up. More intervention patients reported attempts to improve their diet and reduce weight. Mean score improved for diet in the intervention group (p = 0.04) but self-reported BMI and PA risk did not significantly change in either group. There was no significant change in the proportion of patients who reported being at-risk for diet, PA or weight, and no changes in PA, diet and BMI in multilevel linear regression adjusted for patient age, sex, practice size and state. There was good fidelity to the intervention but practices varied in their capacity to address changes. CONCLUSIONS: The lack of measurable effect within this trial may be attributable to the complexities around behaviour change and/or system change. This trial highlights some of the challenges in providing suitable chronic disease preventive interventions which are both scalable to whole practice populations and meet the needs of diverse practice structures. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12612000578808 (29/5/2012). This trial registration is retrospective as our first patient returned their consent on the 21/5/2012. Patient recruitment was ongoing until 31/10/2012.

The impact of health literacy and life style risk factors on health-related quality of life of Australian patients.

BACKGROUND: Limited evidence exists regarding the relationship between health literacy and health-related quality of life (HRQoL) in Australian patients from primary care. The objective of this study was to investigate the impact of health literacy on HRQoL in a large sample of patients without known vascular disease or diabetes and to examine whether the difference in HRQoL between low and high health literacy groups was clinically significant. METHODS: This was a cross-sectional study of baseline data from a cluster randomised trial. The study included 739 patients from 30 general practices across four Australian states conducted in 2012 and 2013 using the standard Short Form Health Survey (SF-12) version 2. SF-12 physical component score (PCS-12) and mental component score (MCS-12) are derived using the standard US algorithm. Health literacy was measured using the Health Literacy Management Scale (HeLMS). Multilevel regression analysis (patients at level 1 and general practices at level 2) was applied to relate PCS-12 and MCS-12 to patient reported life style risk behaviours including health literacy and demographic factors. RESULTS: Low health literacy patients were more likely to be smokers (12 % vs 6 %, P = 0.005), do insufficient physical activity (63 % vs 47 %, P < 0.001), be overweight (68 % vs 52 %, P < 0.001), and have lower physical health and lower mental health with large clinically significant effect sizes of 0.56 (B (regression coefficient) = -5.4, P < 0.001) and 0.78(B = -6.4, P < 0.001) respectively after adjustment for confounding factors. Patients with insufficient physical activity were likely to have a lower physical health score (effect size = 0.42, B = -3.1, P < 0.001) and lower mental health (effect size = 0.37, B = -2.6, P < 0.001). Being overweight tended to be related to a lower PCS-12 (effect size = 0.41, B = -1.8, P < 0.05). Less well-educated, unemployed and smoking patients with low health literacy reported worse physical health. Health literacy accounted for 45 and 70 % of the total between patient variance explained in PCS-12 and MCS-12 respectively. CONCLUSIONS: Addressing health literacy related barriers to preventive care may help reduce some of the disparities in HRQoL. Recognising and tailoring health related communication to those with low health literacy may improve health outcomes including HRQoL in general practice.

Quit in general practice: a cluster randomized trial of enhanced in-practice support for smoking cessation.

OBJECTIVES: To evaluate the uptake and effectiveness of tailored smoking cessation support, provided primarily by the practice nurse (PN), and compare this to other forms of cessation support. METHODS: Three arm cluster randomized controlled trial conducted in 101 general practices in Sydney and Melbourne involving 2390 smokers. The Quit with PN intervention was compared to Quitline referral and a usual care control group. Smoking cessation pharmacotherapy was recommended to all groups. Outcomes were assessed by self-report at 3- and 12-month follow-up. Uptake of the interventions is also reported. RESULTS: The three groups were similar at baseline. Follow-up at 12 months was 82%. The sustained and point prevalence abstinence rates, respectively, at 3 months by group were: PN intervention 13.1% and 16.3%; Quitline referral 10.8% and 14.2%; Usual GP care 11.4% and 15.0%. At 12 months, the rates were: PN intervention 5.4% and 17.1%; Quitline referral 4.4% and 18.8%; Usual GP care 2.9% and 16.4%. Only 43% of patients in the PN intervention group attended to see the nurse. Multilevel regression analysis showed no effect of the intervention overall, but patients who received partial or complete PN support were more likely to report sustained abstinence [partial support odds ratio (OR) 2.27; complete support OR 5.34]. CONCLUSION: The results show no difference by group on intention to treat analysis. Those patients who received more intensive PN intervention were more likely to quit. This may have been related to patient motivation or an effect of PN led cessation support.

Influence of cardiovascular absolute risk assessment on prescribing of antihypertensive and lipid-lowering medications: a cluster randomized controlled trial.

BACKGROUND: Guidelines for management of hypertension and lipids recommend using cardiovascular absolute risk (CVAR) to manage patients. This randomized controlled trial investigated the impact of CVAR assessment in family practice on management of cardiovascular risk, including prescription of antihypertensive and lipid-lowering medication. METHODS: A cluster randomized controlled trial was conducted from 2008 to 2010 in Sydney, Australia. Family practices were randomized, and patients aged 45 to 69 years were invited to participate. Intervention family physicians (FP) were trained in use of CVAR, provided with an electronic CVAR calculator, and assessed their patients' absolute risk in a dedicated consultation. Control practice patients received a general health check. Primary outcome analyzed was the proportion of patients in each group on antihypertensive and/or lipid-lowering medication at 12 months. Multilevel logistic regression was performed to explore variables influencing changes in pharmacologic therapy. RESULTS: The study recruited 36 FPs from 34 practices and 1,074 patients, of which 906 (84.4%) completed 12-month follow-up. At 12 months, there was no significant difference between the intervention and control groups in proportion of patients on antihypertensives (31.2% vs 34.3%, P = .31), but control group patients were more likely to be on lipid-lowering medications (30.2% vs 22.7%, P = .01). After multilevel analysis, this difference was not present. Intensification or reduction of pharmacologic therapy was associated with meeting treatment targets for blood pressure and lipids but not with the CVAR or intervention group. CONCLUSIONS: Single-risk factor management remains a strong influence on FP prescribing practices. Shifting to an approach based on CVAR will require more intensive intervention.

Does health literacy affect patients' receipt of preventative primary care? A multilevel analysis.

BACKGROUND: People with limited health literacy are more likely to be socioeconomically disadvantaged and have risk factors for preventable chronic diseases. General practice is the ideal setting to address these inequalities however these patients engage less in preventive activities and experience difficulties navigating health services. This study aimed to compare primary care patients with and without sufficient health literacy in terms of their lifestyle risk factors, and explore factors associated with receiving advice and referral for these risk factors from their GPs. METHODS: A mailed survey of 739 patients from 30 general practices across four Australian states was conducted in 2012. Health literacy was measured using the Health Literacy Management Scale. Patients with a mean score of <4 within any domain were defined as having insufficient health literacy. Multilevel logistic regression was used to adjust for clustering of patients within practices. RESULTS: Patients with insufficient health literacy (n = 351; 48%) were more likely to report being overweight or obese, and less likely to exercise adequately. Having insufficient health literacy increased a patient's chance of receiving advice on diet, physical activity or weight management, and referral to and attendance at lifestyle modification programs. Not speaking English at home; being overweight or obese; and attending a small sized practice also increased patients' chances of receiving advice on these lifestyle risks. Few (5%, n = 37) of all patients reported being referred to lifestyle modification program and of those around three-quarters had insufficient health literacy. Overweight or obese patients were more likely to be referred to lifestyle modification programs and patients not in paid employment were more likely to be referred to and attend lifestyle programs. CONCLUSION: Patients with insufficient health literacy were more likely to report receiving advice and being referred by GPs to attend lifestyle modification. Although the number of patients referred from this sample was very low, these findings are positive in that they indicate that GPs are identifying patients with low health literacy and appropriately referring them for assistance with lifestyle modification. Future research should measure the effectiveness of these lifestyle programs for patients with low health literacy.

Gender differences in health-related quality of life of Australian chronically-ill adults: patient and physician characteristics do matter.

BACKGROUND: The aims of this study were to explore the health-related quality of life (HRQoL) in a large sample of Australian chronically-ill patients (type 2 diabetes and/or hypertension/ischaemic heart disease), to investigate the impact of characteristics of patients and their general practitioners on their HRQoL and to examine clinically significant differences in HRQoL among males and females. METHODS: This was a cross-sectional study with 193 general practitioners and 2181 of their chronically-ill patients aged 18 years or more using the standard Short Form Health Survey (SF-12) version 2. SF-12 physical component score (PCS-12) and mental component score (MCS-12) were derived using the standard US algorithm. Multilevel regression analysis (patients at level 1 and general practitioners at level 2) was applied to relate PCS-12 and MCS-12 to patient and general practitioner (GP) characteristics. RESULTS: Employment was likely to have a clinically significant larger positive effect on HRQoL of males (regression coefficient (B) (PCS-12) = 7.29, P < 0.001, effect size = 1.23 and B (MCS-12) = 3.40, P < 0.01, effect size = 0.55) than that of females (B(PCS-12) = 4.05, P < 0.001, effect size = 0.78 and B (MCS-12) = 1.16, P > 0.05, effect size = 0.16). There was a clinically significant difference in HRQoL among age groups. Younger men (< 39 years) were likely to have better physical health than older men (> 59 years, B = -5.82, P < 0.05, effect size = 0.66); older women tended to have better mental health (B = 5.62, P < 0.001, effect size = 0.77) than younger women. Chronically-ill women smokers reported clinically significant (B = -3.99, P < 0.001, effect size = 0.66) poorer mental health than women who were non-smokers. Female GPs were more likely to examine female patients than male patients (33% vs. 15%, P < 0.001) and female patients attending female GPs reported better physical health (B = 1.59, P < 0.05, effect size = 0.30). CONCLUSIONS: Some of the associations between patient characteristics and SF-12 physical and/or mental component scores were different for men and women. This finding underlines the importance of considering these factors in the management of chronically-ill patients in general practice. The results suggest that chronically ill women attempting to quit smoking may need more psychological support. More quantitative studies are needed to determine the association between GP gender and patient gender in relation to HRQoL.

The impact of a brief lifestyle intervention delivered by generalist community nurses (CN SNAP trial).

BACKGROUND: The risk factors for chronic disease, smoking, poor nutrition, hazardous alcohol consumption, physical inactivity and weight (SNAPW) are common in primary health care (PHC) affording opportunity for preventive interventions. Community nurses are an important component of PHC in Australia. However there has been little research evaluating the effectiveness of lifestyle interventions in routine community nursing practice. This study aimed to address this gap in our knowledge. METHODS: The study was a quasi-experimental trial involving four generalist community nursing (CN) services in New South Wales, Australia. Two services were randomly allocated to an 'early intervention' and two to a 'late intervention' group. Nurses in the early intervention group received training and support in identifying risk factors and offering brief lifestyle intervention for clients. Those in the late intervention group provided usual care for the first 6 months and then received training. Clients aged 30-80 years who were referred to the services between September 2009 and September 2010 were recruited prior to being seen by the nurse and baseline self-reported data collected. Data on their SNAPW risk factors, readiness to change these behaviours and advice and referral received about their risk factors in the previous 3 months were collected at baseline, 3 and 6 months. Analysis compared changes using univariate and multilevel regression techniques. RESULTS: 804 participants were recruited from 2361 (34.1%) eligible clients. The proportion of clients who recalled receiving dietary or physical activity advice increased between baseline and 3 months in the early intervention group (from 12.9 to 23.3% and 12.3 to 19.1% respectively) as did the proportion who recalled being referred for dietary or physical activity interventions (from 9.5 to 15.6% and 5.8 to 21.0% respectively). There was no change in the late intervention group. There a shift towards greater readiness to change in those who were physically inactive in the early but not the comparison group. Clients in both groups reported being more physically active and eating more fruit and vegetables but there were no significant differences between groups at 6 months. CONCLUSION: The study demonstrated that although the intervention was associated with increases in advice and referral for diet or physical activity and readiness for change in physical activity, this did not translate into significant changes in lifestyle behaviours or weight. This suggests a need to facilitate referral to more intensive long-term interventions for clients with risk factors identified by primary health care nurses. TRIAL REGISTRATION: ACTRN12609001081202.

The impact of a team-based intervention on the lifestyle risk factor management practices of community nurses: outcomes of the community nursing SNAP trial.

BACKGROUND: Lifestyle risk factors like smoking, nutrition, alcohol consumption, and physical inactivity (SNAP) are the main behavioural risk factors for chronic disease. Primary health care is an appropriate setting to address these risk factors in individuals. Generalist community health nurses (GCHNs) are uniquely placed to provide lifestyle interventions as they see clients in their homes over a period of time. The aim of the paper is to examine the impact of a service-level intervention on the risk factor management practices of GCHNs. METHODS: The trial used a quasi-experimental design involving four generalist community nursing services in NSW, Australia. The services were randomly allocated to either an intervention group or control group. Nurses in the intervention group were provided with training and support in the provision of brief lifestyle assessments and interventions. The control group provided usual care. A sample of 129 GCHNs completed surveys at baseline, 6 and 12 months to examine changes in their practices and levels of confidence related to the management of SNAP risk factors. Six semi-structured interviews and four focus groups were conducted among the intervention group to explore the feasibility of incorporating the intervention into everyday practice. RESULTS: Nurses in the intervention group became more confident in assessment and intervention over the three time points compared to their control group peers. Nurses in the intervention group reported assessing physical activity, weight and nutrition more frequently, as well as providing more brief interventions for physical activity, weight management and smoking cessation. There was little change in referral rates except for an improvement in weight management related referrals. Nurses' perception of the importance of 'client and system-related' barriers to risk factor management diminished over time. CONCLUSIONS: This study shows that the intervention was associated with positive changes in self-reported lifestyle risk factor management practices of GCHNs. Barriers to referral remained. The service model needs to be adapted to sustain these changes and enhance referral. TRIAL REGISTRATION: ACTRN12609001081202.

Effectiveness of Moving On: an Australian designed generic self-management program for people with a chronic illness.

BACKGROUND: This paper presents the evaluation of "Moving On", a generic self-management program for people with a chronic illness developed by Arthritis NSW. The program aims to help participants identify their need for behaviour change and acquire the knowledge and skills to implement changes that promote their health and quality of life. METHOD: A prospective pragmatic randomised controlled trial involving two group programs in community settings: the intervention program (Moving On) and a control program (light physical activity). Participants were recruited by primary health care providers across the north-west region of metropolitan Sydney, Australia between June 2009 and October 2010. Patient outcomes were self-reported via pre- and post-program surveys completed at the time of enrolment and sixteen weeks after program commencement. Primary outcomes were change in self-efficacy (Self-efficacy for Managing Chronic Disease 6-Item Scale), self-management knowledge and behaviour and perceived health status (Self-Rated Health Scale and the Health Distress Scale). RESULTS: A total of 388 patient referrals were received, of whom 250 (64.4%) enrolled in the study. Three patients withdrew prior to allocation. 25 block randomisations were performed by a statistician external to the research team: 123 patients were allocated to the intervention program and 124 were allocated to the control program. 97 (78.9%) of the intervention participants commenced their program. The overall attrition rate of 40.5% included withdrawals from the study and both programs. 24.4% of participants withdrew from the intervention program but not the study and 22.6% withdrew from the control program but not the study. A total of 62 patients completed the intervention program and follow-up evaluation survey and 77 patients completed the control program and follow-up evaluation survey. At 16 weeks follow-up there was no significant difference between intervention and control groups in self-efficacy; however, there was an increase in self-efficacy from baseline to follow-up for the intervention participants (t=-1.948, p=0.028). There were no significant differences in self-rated health or health distress scores between groups at follow-up, with both groups reporting a significant decrease in health distress scores. There was no significant difference between or within groups in self-management knowledge and stage of change of behaviours at follow-up. Intervention group attenders had significantly higher physical activity (t=-4.053, p=0.000) and nutrition scores (t=2.315, p= 0.01) at follow-up; however, these did not remain significant after adjustment for covariates. At follow-up, significantly more participants in the control group (20.8%) indicated that they did not have a self-management plan compared to those in the intervention group (8.8%) (X²=4.671, p=0.031). There were no significant changes in other self-management knowledge areas and behaviours after adjusting for covariates at follow-up. CONCLUSIONS: The study produced mixed findings. Differences between groups as allocated were diluted by the high proportion of patients not completing the program. Further monitoring and evaluation are needed of the impact and cost effectiveness of the program. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12609000298213.

Factors influencing participation in a vascular disease prevention lifestyle program among participants in a cluster randomized trial.

BACKGROUND: Previous research suggests that lifestyle intervention for the prevention of diabetes and cardiovascular disease (CVD) are effective, however little is known about factors affecting participation in such programs. This study aims to explore factors influencing levels of participation in a lifestyle modification program conducted as part of a cluster randomized controlled trial of CVD prevention in primary care. METHODS: This concurrent mixed methods study used data from the intervention arm of a cluster RCT which recruited 30 practices through two rural and three urban primary care organizations. Practices were randomly allocated to intervention (n = 16) and control (n = 14) groups. In each practice up to 160 eligible patients aged between 40 and 64 years old, were invited to participate. Intervention practice staff were trained in lifestyle assessment and counseling and referred high risk patients to a lifestyle modification program (LMP) consisting of two individual and six group sessions over a nine month period. Data included a patient survey, clinical audit, practice survey on capacity for preventive care, referral and attendance records at the LMP and qualitative interviews with Intervention Officers facilitating the LMP. Multi-level logistic regression modelling was used to examine independent predictors of attendance at the LMP, supplemented with qualitative data from interviews with Intervention Officers facilitating the program. RESULTS: A total of 197 individuals were referred to the LMP (63% of those eligible). Over a third of patients (36.5%) referred to the LMP did not attend any sessions, with 59.4% attending at least half of the planned sessions. The only independent predictors of attendance at the program were employment status - not working (OR: 2.39 95% CI 1.15-4.94) and having high psychological distress (OR: 2.17 95% CI: 1.10-4.30). Qualitative data revealed that physical access to the program was a barrier, while GP/practice endorsement of the program and flexibility in program delivery facilitated attendance. CONCLUSION: Barriers to attendance at a LMP for CVD prevention related mainly to external factors including work commitments and poor physical access to the programs rather than an individuals' health risk profile or readiness to change. Improving physical access and offering flexibility in program delivery may enhance future attendance. Finally, associations between psychological distress and attendance rates warrant further investigation. TRIAL REGISTRATION: ACTRN12607000423415.

Analysis of the psychological impact of a vascular risk factor intervention: results from a cluster randomized controlled trial in Australian general practice.

BACKGROUND: Screening for vascular disease, risk assessment and management are encouraged in general practice however there is limited evidence about the emotional impact on patients. The Health Improvement and Prevention Study evaluated the impact of a general practice-based vascular risk factor intervention on behavioural and physiological risk factors in 30 Australian practices. The primary aim of this analysis is to investigate the psychological impact of participating in the intervention arm of the trial. The secondary aim is to identify the mediating effects of changes in behavioural risk factors or BMI. METHODS: This study is an analysis of a secondary outcome from a cluster randomized controlled trial. Patients, aged 40-65 years, were randomly selected from practice records. Those with pre-existing cardiovascular disease were excluded. Socio-demographic details, behavioural risk factors and psychological distress were measured at baseline and 12 months. The Kessler Psychological Distress Score (K10) was the outcome measure for multi-level, multivariable analysis and a product-of-coefficient test to assess the mediating effects of behaviour change. RESULTS: Baseline data were available 384 participants in the intervention group and 315 in the control group. Twelve month data were available for 355 in the intervention group and 300 in the control group. The K10 score of patients in the intervention group (14.78, SD 5.74) was lower at 12 months compared to the control group (15.97, SD 6.30). K10 at 12 months was significantly associated with the score at baseline and being unable to work but not with age, gender, change in behavioural risk factors or change in BMI. CONCLUSIONS: The reduction of K10 in the intervention group demonstrates that a general practice based intervention to identify and manage vascular risk factors did not adversely impact on the psychological distress of the participants. The impact of the intervention on distress was not mediated by a change in the behavioural risk factors or BMI, suggesting that there must be other mediators that might explain the positive impact of the intervention on emotional wellbeing. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12607000423415.

Referral pathways in colorectal cancer: an audit of surgeons's records.

PURPOSE: To explore the referral pathways of patients with newly diagnosed colorectal cancer to surgeons. METHOD: Australian surgeons from three states completed a questionnaire and their records were audited. RESULTS: Thirty-three surgeons provided data on 530 patients seen in the preceding 12 months. The median time between colonoscopy and first surgical consult was 10 days, with 19% of patients waiting more than 28 days. After adjustment for clustering, no surgeon factors were associated with the number of days between colonoscopy and surgery. A report back to the general practitioner (GP) was found in 78% of patients' records. This feedback varied between surgeons but none of the specific surgeon characteristics examined could explain this. CONCLUSION: Surgeons usually communicated with GP regardless of whether they were the referral source. However, communication with GP varied considerably among surgeons, with no evidence of a report to the GP in one-fifth of cases.

A cluster randomised controlled trial of vascular risk factor management in general practice.

OBJECTIVE: To evaluate the impact of a lifestyle intervention in Australian general practice to reduce the risk of vascular disease. DESIGN, SETTING AND PARTICIPANTS: Stratified cluster randomised controlled trial among 30 general practices in New South Wales from July 2008 to January 2010. Patients aged 40-64 years were invited to participate. The subgroup who were 40-55 years of age were included only if they had either hypertension or dyslipidaemia. INTERVENTION: A general practice-based health-check with brief lifestyle counselling and referral of high-risk patients to a program consisting of one to two individual visits with an exercise physiologist or dietitian, and six group sessions. MAIN OUTCOME MEASURES: Outcomes at baseline, 6 and 12 months included the behavioural and physiological risk factors for vascular disease - self-reported diet and physical activity, and measured weight, body mass index, waist circumference, blood lipid and blood sugar levels, and blood pressure. RESULTS: Of the 3128 patients who were invited, 958 patients (30.6%) responded and 814 were eligible to participate. Of these, 699 commenced the study, and 655 remained in the study at 12 months. Physical activity levels increased to a greater extent in the intervention group than the control group at 6 and 12 months (P = 0.005). There were no other changes in behavioural or physiological outcomes or in estimated absolute risk of cardiovascular disease at 12 months. Of the 384 enrolled in the intervention group, 117 patients (30.5%) attended the minimum number of group program sessions and lost more weight (mean weight loss, 1.06 kg) than those who did not attend the minimum number of sessions (mean weight gain, 0.73 kg). CONCLUSION: While patients who received counselling by their general practitioner increased self-reported physical activity, only those who attended the group sessions sustained an improvement in weight. However, more research is needed to determine whether group programs offer significant benefits over individual counselling in general practice. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12607000423415.

Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial.

BACKGROUND: Cardiovascular disease accounts for a large burden of disease, but is amenable to prevention through lifestyle modification. This paper examines patient and practice predictors of referral to a lifestyle modification program (LMP) offered as part of a cluster randomised controlled trial (RCT) of prevention of vascular disease in primary care. METHODS: Data from the intervention arm of a cluster RCT which recruited 36 practices through two rural and three urban primary care organisations were used. In each practice, 160 eligible high risk patients were invited to participate. Practices were randomly allocated to intervention or control groups. Intervention practice staff were trained in screening, motivational interviewing and counselling and encouraged to refer high risk patients to a LMP involving individual and group sessions. Data include patient surveys; clinical audit; practice survey on capacity for preventive care; referral records from the LMP. Predictors of referral were examined using multi-level logistic regression modelling after adjustment for confounding factors. RESULTS: Of 301 eligible patients, 190 (63.1%) were referred to the LMP. Independent predictors of referral were baseline BMI ≥ 25 (OR 2.87 95%CI:1.10, 7.47), physical inactivity (OR 2.90 95%CI:1.36,6.14), contemplation/preparation/action stage of change for physical activity (OR 2.75 95%CI:1.07, 7.03), rural location (OR 12.50 95%CI:1.43, 109.7) and smaller practice size (1-3 GPs) (OR 16.05 95%CI:2.74, 94.24). CONCLUSIONS: Providing a well-structured evidence-based lifestyle intervention, free of charge to patients, with coordination and support for referral processes resulted in over 60% of participating high risk patients being referred for disease prevention. Contrary to expectations, referrals were more frequent from rural and smaller practices suggesting that these practices may be more ready to engage with these programs. TRIAL REGISTRATION: ACTRN12607000423415.

Unplanned return visits to emergency in a regional hospital.

OBJECTIVE: The aim of this study was to determine the patient characteristics associated with unplanned return visits, using routinely collected hospital data, to assist in developing strategies to reduce their occurrence. METHODS: Emergency department data from a regional hospital were analysed using univariate and multivariate methods to determine the influence of clinical, service usage and demographic patient characteristics on unplanned return visits. RESULTS: Around 80% of the 16000 patients attending emergency presented on only one occasion in a year. Five per cent of patients presented with an unplanned return visit. Older patients, those with minor and low urgency conditions and with non-psychotic mental health conditions, those presenting during winter and after hours were significantly more likely to present as unplanned return visits. CONCLUSION: Although patient characteristics associated with unplanned return visits have been identified, the reasons underpinning the unplanned return visit rate, such as patient service preference and attitudes, need to be more fully investigated.

Detection of type 2 diabetes: what role for associated risk and protective factors and socioeconomic status?

OBJECTIVES: This study explored associations between demographic, socioeconomic, behavioural risk, and health factors (study factors) and detection of type 2 diabetes. METHODS: A secondary analysis of data extracted from the AusDiab study was undertaken. Participants were classified as known diabetes (KDM), newly detected diabetes (NDDM), impaired fasting glucose (IFG), impaired glucose tolerance (IGT), or normal according to results of a glucose tolerance test. RESULTS: The weighted prevalence of diabetes was 6.9%; 49.6% of participants with diabetes (NDDM+KDM) were classified as NDDM. Although study factors were associated with diabetes prevalence, most were not associated with proportion of diabetic participants classified as NDDM. Among participants with diabetes, NDDM was more likely among those who spoke English at home, were in good general health and did not report past history of cardiovascular disease. CONCLUSIONS; Although a range of personal and socioeconomic factors are associated with diabetes prevalence, these factors are not similarly associated with prior detection of diabetes. These findings highlight the importance of systematic approaches to screening for diabetes risk focussed on the whole population, with selective screening based on multi-factorial assessment of diabetes risk using the AUSDRISK Assessment Tool.

What predicts patient-reported GP management of smoking, nutrition, alcohol, physical activity and weight?

This study aimed to describe patient-reported management of behavioural risk factors in Australian general practice. Six hundred and ninety-eight eligible patients from 30 general practices in two rural and three urban Divisions of General Practice responded to a mailed invitation to participate and completed a questionnaire. Data were analysed using univariate and multi-level multivariate methods. The prevalence of risk factors varied between 12.6% for smoking and 72.6% for at-risk diet (56.2% were overweight). Most patients were at the action or maintenance phases of their readiness to change their risky behaviours. General practitioners (GPs) provided education or advice to between one-quarter and one-third of those at risk for each risk factor; 9.2% and 9.6% of patients reported having been referred for diet or physical activity interventions. Patient body mass index was associated with increased likelihood of receiving GP advice or referral for diet and physical activity interventions. Having poor diet or physical activity levels and being more ready for change were not associated with the likelihood of GP referral. The major challenge for general practice is to ensure that effective lifestyle interventions are provided to those who will most benefit. Patient-reported GP behavioural risk factor advice and referral is less frequent than is optimal. Priority needs to be given to those most at risk and ready to change their behaviour.

Multidisciplinary Team Care Arrangements in the management of patients with chronic disease in Australian general practice.

OBJECTIVE: To explore factors associated with the frequency of multidisciplinary Team Care Arrangements (TCAs) and the impact of TCAs on patient-assessed quality of care in Australian general practice. DESIGN AND SETTING: Data were collected as part of a cluster randomised controlled trial conducted in 60 general practices in New South Wales, the Australian Capital Territory and Victoria between July 2006 and June 2008. Multilevel logistic regression analysis evaluated factors associated with the frequency of TCAs recorded in the 12 months after baseline, and multilevel multivariable analysis examined the association between TCAs and patient-assessed quality of chronic illness care, adjusted for patient and practice characteristics. MAIN OUTCOME MEASURES: Frequency of TCAs; Patient Assessment of Chronic Illness Care (PACIC) scores. RESULTS: Of 1752 patients with clinical audit data available at 12-month follow-up, 398 (22.7%) had a TCA put in place since baseline. Women, patients with two or more chronic conditions, and patients from metropolitan areas had an increased probability of having a TCA. There was an association between TCAs and practices with solo general practitioners and those with greater levels of teamwork involving non-GP staff for the control group but not the intervention group. Patients who had a TCA self-assessed their quality of care (measured by PACIC scores) to be higher than those who did not. CONCLUSIONS: Findings were consistent with the purpose of TCAs--to provide multidisciplinary care for patients with longer-term complex conditions. Significant barriers to TCA use remain, especially in rural areas and for men, and these may be more challenging to overcome in larger practices.

Frequent emergency attenders: is there a better way?

BACKGROUND: Understanding the reasons for frequent re-attendances will assist in developing solutions to hospital overcrowding. This study aimed to identify the factors associated with frequent re-attendances in a regional hospital thereby highlighting possible solutions to the problem. METHODS: A retrospective analysis was performed on emergency department data from 2008. Frequent re-attenders were defined as those with four or more presentations in a year. Clinical, service usage and demographic patient characteristics were examined for their influence on re-presentations using multivariate analysis. RESULTS; A total of 8% of the total patients presenting to emergency re-attended four or more times in the year. Frequent re-attenders were older, presented with an unplanned returned visit and had a diagnosis of neurosis, chronic obstructive pulmonary disease (COPD), convulsions, dyspnoea or repeat prescriptions, follow-up examinations or dressings and sutures and less likely to present in summer. Frequent re-attendances were unrelated to sex, time of presentation or country of birth. CONCLUSIONS: Diversion of patients with minor conditions to alternative services; referral of COPD patients to follow-up respiratory services and patients with neurosis to community mental health services would reduce emergency utilisation. Improving access to and resourcing of alternative non-hospital services should be investigated to reduce emergency overcrowding.