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 (40‑69 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.

Implementing guidelines to routinely prevent chronic vascular disease in primary care: the Preventive Evidence into Practice cluster randomised controlled trial

OBJECTIVE

To evaluate an intervention to improve implementation of guidelines for the prevention of chronic vascular disease.

SETTING

32 urban general practices in 4 Australian states.

RANDOMISATION

Stratified randomisation of practices.

PARTICIPANTS

122 general practitioners (GPs) and practice nurses (PNs) were recruited at baseline and 97 continued to 12 months. 21,848 patient records were audited for those aged 40-69 years who attended the practice in the previous 12 months without heart disease, stroke, diabetes, chronic renal disease, cognitive impairment or severe mental illness.

INTERVENTION

The practice level intervention over 6 months included small group training of practice staff, feedback on audited performance, practice facilitation visits and provision of patient education and referral information.

OUTCOME MEASURES

Primary: 1. Change in proportion of patients aged 40-69 years with smoking status, alcohol intake, body mass index (BMI), waist circumference (WC), blood pressure (BP) recorded and for those aged 45-69 years with lipids, fasting blood glucose and cardiovascular risk in the medical record. 2. Change in the level of risk for each factor.

SECONDARY

change in self-reported frequency and confidence of GPs and PNs in assessment.

RESULTS

Risk recording improved in the intervention but not the control group for WC (OR 2.52 (95% CI 1.30 to 4.91)), alcohol consumption (OR 2.19 (CI 1.04 to 4.64)), smoking status (OR 2.24 (1.17 to 4.29)) and cardiovascular risk (OR 1.50 (1.04 to 2.18)). There was no change in recording of BP, lipids, glucose or BMI and no significant change in the level of risk factors based on audit data. The confidence but not reported practices of GPs and PNs in the intervention group improved in the assessment of some risk factors.

CONCLUSIONS

This intervention was associated with improved recording of some risk factors but no change in the level of risk at the follow-up audit.

TRIAL REGISTRATION NUMBER

Australian and New Zealand Clinical Trials Register (ANZCTR): ACTRN12612000578808, results.

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.

Prognostic value of the lymph node ratio for lymph-node-positive breast cancer- is it just a denominator problem?

Purpose

To examine the prognostic value of lymph node ratio (LNR) for patients with node-positive breast cancer with varying numbers of minimum nodes removed (>5, > 10 and > 15 total node count).

Methods

This study examined the original histopathological reports of 332 node-positive patients treated in the state of New South Wales (NSW), Australia between 1 April 1995 and 30 September 1995. The LNR was defined as the number of positive lymph nodes (LNs) over the total number of LNs removed. The LNR cutoffs were defined as low-risk, 0.01–0.20; intermediate-risk, 0.21– 0.65; and high-risk, LNR >0.65.

Results

The median follow-up was 10.3 years. In multivariate analysis, LNR was an independent predictor of 10-year breast cancer specific survival when > 5 nodes were removed. However, LNR was not an independent predictor when > 15 nodes were removed. In a multivariate analysis the relative risk of death (RR) decreased from 2.20 to 1.05 for intermediate-risk LNR and from 3.07 to 2.64 for high-risk while P values increased from 0.027 to 0.957 for intermediate-risk LNR and 0.018 to 0.322 for high-risk with the number of nodes removed increasing from > 5 to > 15.

Conclusions

Although LNR is important for patients with low node denominators, for patients with macroscopic nodal metastases in several nodes following an axillary dissection who have more than 15 nodes dissected, the oncologist can be satisfied that prognosis, selection of adjuvant chemotherapy and radiotherapy fields can be based on the numerator of the positive nodes.

Electronic supplementary material

The online version of this article (doi:10.1186/s40064-015-0865-2) contains supplementary material, which is available to authorized users.

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.

Relevance of the American College of Surgeons Oncology Group Z0011 Trial to breast cancer in the Australian setting

BACKGROUND

Conventional wisdom suggests that a patient with a positive sentinel node requires a completion axillary clearance to obtain full staging and durable regional control. However, this dictum has been challenged by the recent American College of Surgeons Oncology Group Z0011 Trial demonstrating that women with node-positive breast cancer who underwent sentinel node biopsy only, and were treated with breast conserving surgery and radiation, had equivalent locoregional recurrence and survival rates to those who had a completion axillary clearance. The aim of our study was to determine what the clinical impact of the Z0011 findings might be if patients were managed according to the Z0011 criteria in an Australian teaching hospital setting.

METHODS

We performed a retrospective review, using prospectively collected data, of all female patients with breast cancer assessed at the Westmead Breast Cancer Institute in 2010 and identified the subgroup who would potentially have fulfilled all Z0011 criteria. The characteristics and management of this group were compared with node-positive and to mastectomy patient subgroups.

RESULTS

A total of 280 patients with invasive breast cancer were identified. Twenty-six patients satisfied all Z0011 criteria, representing 9.3% of all patients and 21.5% of node-positive patients. Twenty-two (84.6%) patients had a subsequent axillary clearance, with six (27.3%) having additional positive nodes.

CONCLUSIONS

The Z0011 study is relevant to 9.3% of all breast cancer patients and 21.5% of node-positive breast cancer patients treated in a major Australian teaching hospital.

Changing community health service delivery in economically less-developed rural areas in China: impact on service use and satisfaction

OBJECTIVE

To evaluate the impact of a model of rural community health service (CHS) on the use and acceptability of primary healthcare services.

DESIGN

Quasi-experimental.

SETTING

Two adjacent rural counties in China.

PARTICIPANTS

5842 residents in 2009 and 3807 in 2010 from 980 households in 7 intervention townships and 49 villages; 2232 residents in 2009 and 2315 in 2010 from 628 households in 3 comparison townships and 9 villages. All residents were approached to participate, with no significant differences in age or sex between groups.

INTERVENTION

Multilevel intervention in 2009 including training rural practitioners, encouraging clinic improvements, providing clinical guidelines, standards and subsidies.

DATA COLLECTION

Surveys of community members from randomly sampled households in 2009 and 2010.

PRIMARY OUTCOME MEASURES

Satisfaction with and utilisation of outpatient and public health services.

ANALYSIS

Factor analysis confirmed two components of satisfaction. Univariate and multilevel analysis was used.

RESULTS

Satisfaction scores for intervention county respondents increased from 21.4 (95% CI 21.1 to 21.7) to 22.1 (95% CI 21.7 to 22.4) with no change in comparison area. In multilevel analysis, satisfaction with patient-centred care was associated with chronic disease, shorter waiting times and county. Satisfaction with clinic environment and cost was associated with female gender, shorter waiting times but not county. The proportion of children receiving immunisation in intervention village clinics increased from 42.5% (95% CI 27.9% to 47.1%) to 59.2% (95% CI 53.8% to 64.6%) whereas this decreased in comparison villages (16.5%; 95% CI 10.3% to 22.7% to 6.0%; 95% CI 1.3% to 10.7%). Antenatal visits increased in intervention villages (from 69.0%, 95% CI 65.8% to 73.1% to 75.8%, 95% CI 72.2% to 79.4%) with no change in comparison villages.

CONCLUSIONS

Introduction of a CHS model adapted to economically less-developed rural areas was associated with some improvements in satisfaction with care and use of some village-based public health services. Further research is needed to determine its public health impact and application to other areas.

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.

The prognostic value of Ki67 in systemically untreated patients with node-negative breast cancer

AIM

To evaluate the utility of Ki67 as a prognostic marker in a series of patients with node-negative breast cancer untreated with adjuvant systemic therapy.

METHODS

The cohort consisted of 203 cases treated with breast conserving surgery and radiation only; median follow-up was 183 months (range 156-277 months). An immunohistochemical panel of oestrogen receptor (ER), progesterone receptor (PR), cytokeratin (CK)5/6 and Ki67 and human epidermal growth factor 2 in situ hybridization (HER2-ISH) was performed on the tumour samples. Ki67 scores were evaluable in 193/203 patients (95.1%). The primary outcome was breast cancer specific survival (BCSS).

RESULTS

Of the cohort, 29 (14.2%) died of breast cancer. A cut off of 10% separated tumours into a 'Ki67-low' (n=70) or 'Ki67-high' group (n=123). The breast cancer specific survival was 97.1% and 77.6% for Ki67-low and Ki67-high groups, respectively. Univariate analysis showed that in this lymph node-negative cohort, the predictors for BCSS were tumour size, Ki67, LVI, age and histological grade 3. Multivariable analysis showed that Ki67 index and lymphovascular space invasion were independent predictors of breast cancer death. To examine the utility of Ki67 in assignment of immunohistochemically molecular subtypes, cases were assigned into Luminal A (ER-positive, HER2-negative, Ki67 ≤14%), Luminal B (ER-positive, HER2-negative, Ki67 >14%) and triple negative (ER/PR-negative and HER2-negative, any Ki67). The 15-year breast cancer specific survival was 91.7%, 79.4% and 75.8%, respectively.

CONCLUSIONS

A statistically significant difference in breast cancer specific survival is seen in groups defined using Ki67 and receptor status, whereas histological grading was not a significant predictor of survival. Ki67 immunostaining provides prognostic information beyond traditionally assessed clinicopathological variables.

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.

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.

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.

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

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.

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.

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.

Preventive evidence into practice (PEP) study: implementation of guidelines to prevent primary vascular disease in general practice protocol for a cluster randomised controlled trial

BACKGROUND

There are significant gaps in the implementation and uptake of evidence-based guideline recommendations for cardiovascular disease (CVD) and diabetes in Australian general practice. This study protocol describes the methodology for a cluster randomised trial to evaluate the effectiveness of a model that aims to improve the implementation of these guidelines in Australian general practice developed by a collaboration between researchers, non-government organisations, and the profession.

METHODS

We hypothesise that the intervention will alter the behaviour of clinicians and patients resulting in improvements of recording of lifestyle and physiological risk factors (by 20%) and increased adherence to guideline recommendations for: the management of CVD and diabetes risk factors (by 20%); and lifestyle and physiological risk factors of patients at risk (by 5%). Thirty-two general practices will be randomised in a 1:1 allocation to receive either the intervention or continue with usual care, after stratification by state. The intervention will be delivered through: small group education; audit of patient records to determine preventive care; and practice facilitation visits adapted to the needs of the practices. Outcome data will be extracted from electronic medical records and patient questionnaires, and qualitative evaluation from provider and patient interviews.

DISCUSSION

We plan to disseminate study findings widely and directly inform implementation strategies by governments, professional bodies, and non-government organisations including the partner organisations.

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.

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.

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.

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.

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 16 000 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. What is known about the topic? Patients who present as unplanned return visits are older and have a range of chronic and acute conditions. Some unplanned return visits occur because of limited access to other non-hospital service. What does this paper add? This paper adds to the field by providing information from a regional hospital in NSW Australia on the patient characteristics associated with unplanned return visits. It provides a basis for differentiating between other groups of frequent emergency department patients. However, the reasons behind the unplanned return visit rate need to be more fully investigated. What are the implications for practitioners? The implications of the findings of this study for policy makers, administrators and clinicians are that access to alternative services for the conditions associated with unplanned return visits need to be further investigated in the context of the role for emergency department services.

Patients Assessment of Chronic Illness Care (PACIC) in two Australian studies: structure and utility

AIMS

To validate the Patients Assessment of Chronic Illness Care (PACIC) among patients with chronic disease in the Australian context and to examine the relationship between patient-assessed quality of care and patient and practice characteristics.

METHODS

Cross-sectional analysis of baseline data in two independent health service intervention studies that involved patients with type 2 diabetes, ischaemic heart disease and/or hypertension in general practice. The first study involved 2552 patients from 60 urban and rural general practices. The second involved 989 patients from 26 practices in Sydney. Patients were mailed a questionnaire, which included the PACIC and Short Form Health Survey. Factor analysis was performed and the factor scores and total PACIC were analysed using multi-level regression models against practice and patient characteristics.

RESULTS

Factor analysis revealed a two-factor solution with similar loading of PACIC items in both studies: one for shared decision making and self-management and the other for planned care. Practice characteristics were not related to PACIC scores. Scores were related to patient characteristics - education, retirement, type and number and duration of conditions.

CONCLUSIONS

The two-factor structure of the PACIC found in these Australian studies is different from the five-factor structure found in the US and the European studies. This may be related to differences in the way patients interact with the health system especially the use of Team Care plans. The association of total scores with patient characteristics was consistent with those found in other studies including a lack of association with gender, age and ethnicity. These findings should be taken into consideration when comparing patient-assessed quality of care between countries using this tool.

A tool to measure whether business management capacity in general practice impacts on the quality of chronic illness care

Our aim was to develop a tool to identify specific features of the business and financial management of practices that facilitate better quality care for chronic illness in primary care.

Domains of management were identified, resulting in the development of a structured interview tool that was administered in 97 primary care practices in Australia. Interview items were screened and subjected to factor analysis, subscales identified and the overall model fit determined. The instrument's validity was assessed against another measure of quality of care.

Analysis provided a four-factor solution containing 21 items, which explained 42.5% of the variance in the total scores. The factors related to administrative processes, human resources, marketing analysis and business development. All scores increased significantly with practice size. The business development subscale and total score were higher for rural practices. There was a significant correlation between the business development subscale and quality of care.

The indicators of business and financial management in the final tool appear to be useful predictors of the quality of care. The instrument may help inform policy regarding the structure of general practice and implementation of a systems approach to chronic illness care. It can provide information to practices about areas for further development.

Readiness for organisational change among general practice staff

BACKGROUND

Increasing demands on general practice to manage chronic disease may warrant organisational change at the practice level. Staff's readiness for organisational change can act as a facilitator or barrier to implementing interventions aimed at organisational change.

OBJECTIVES

To explore general practice staff readiness for organisational change and its association with staff and practices characteristics.

METHODS

This is a cross-sectional study of practices in three Australian states involved in a randomised control trial on the effectiveness of an intervention to enhance the role of non-general practitioner staff in chronic disease management. Readiness for organisational change, job satisfaction and practice characteristics were assessed using questionnaires.

RESULTS

502 staff from 58 practices completed questionnaires. Practice characteristics were not associated with staff readiness for change. A multilevel regression analysis showed statistically significant associations between staff readiness for organisational change (range 1 to 5) and having a non-clinical staff role (vs general practitioner; B=-0.315; 95% CI -0.47 to -0.16; p<0.001), full-time employment (vs part-time; B=0.175, 95% CI 0.06 to 0.29; p<0.01) and lower job satisfaction (B=-0.277, 95% CI -0.40 to -0.15; p<0.001).

CONCLUSIONS

The results suggest that different approaches are needed to facilitate change which addresses the mix of practice staff. Moderately low job satisfaction may be an opportunity for organisational change.

An efficacy trial of brief lifestyle intervention delivered by generalist community nurses (CN SNAP trial)

BACKGROUND

Lifestyle risk factors, in particular smoking, nutrition, alcohol consumption and physical inactivity (SNAP) are the main behavioural risk factors for chronic disease. Primary health care (PHC) has been shown to be an effective setting to address lifestyle risk factors at the individual level. However much of the focus of research to date has been in general practice. Relatively little attention has been paid to the role of nurses working in the PHC setting. Community health nurses are well placed to provide lifestyle intervention as they often see clients in their own homes over an extended period of time, providing the opportunity to offer intervention and enhance motivation through repeated contacts. The overall aim of this study is to evaluate the impact of a brief lifestyle intervention delivered by community nurses in routine practice on changes in clients' SNAP risk factors.

METHODS/DESIGN

The trial uses a quasi-experimental design involving four generalist community nursing services in NSW Australia. Services have been randomly allocated to an 'early intervention' group or 'late intervention' (comparison) group. 'Early intervention' sites are provided with training and support for nurses in identifying and offering brief lifestyle intervention for clients during routine consultations. 'Late intervention site' provide usual care and will be offered the study intervention following the final data collection point. A total of 720 generalist community nursing clients will be recruited at the time of referral from participating sites. Data collection consists of 1) telephone surveys with clients at baseline, three months and six months to examine change in SNAP risk factors and readiness to change 2) nurse survey at baseline, six and 12 months to examine changes in nurse confidence, attitudes and practices in the assessment and management of SNAP risk factors 3) semi-structured interviews/focus with nurses, managers and clients in 'early intervention' sites to explore the feasibility, acceptability and sustainability of the intervention.

DISCUSSION

The study will provide evidence about the effectiveness and feasibility of brief lifestyle interventions delivered by generalist community nurses as part of routine practice. This will inform future community nursing practice and PHC policy.

TRIAL REGISTRATION

ACTRN12609001081202.

A better model of diabetes self-management? Interactions between GP communication and patient self-efficacy in self-monitoring of blood glucose

OBJECTIVE

The aim of this exploratory study was to investigate the interaction between patient self-efficacy and GP communication in explaining diabetes self-management in a disadvantaged region of Sydney, Australia.

METHODS

This study was undertaken in South West Sydney with the Fairfield Division of General Practice. We used a cross-sectional survey design to assess patients' self-reported beliefs and behaviours about diabetes self-management. We used hierarchical multiple linear regression to test for interaction effects in diabetes self-management, following tests for clustering using multilevel modeling.

RESULTS

Of those eligible for survey, 105 patients completed the telephone survey (72%). There was a significant interaction between diabetes self-efficacy and GP communication in blood glucose testing; high-ratings of GP communication enhanced self-monitoring of blood glucose when patient self-efficacy was high but impeded self-monitoring of blood glucose when self-efficacy was low. There were no significant interaction effects for the general diet or exercise scales.

CONCLUSION

This exploratory study suggests a complex relationship between patient self-efficacy and GP communication in self-monitoring of blood glucose. It is likely optimal diabetes self-management behaviours are produced by a fit between high patient self-efficacy and high quality GP communication.

PRACTICE IMPLICATIONS

There is a risk that GPs who are sensitive to their patients' low self-efficacy in self-monitoring of blood glucose may step in and take over the monitoring role and inadvertently reduce self-management.

Quality of life of Australian chronically-ill adults: patient and practice characteristics matter

Background

To study health-related quality of life (HRQOL) in a large sample of Australian chronically-ill patients and investigate the impact of characteristics of patients and their general practices on their HRQOL and to assess the construct validity of SF-12 in Australia.

Methods

Cross sectional study with 96 general practices and 7606 chronically-ill patients aged 18 years or more using standard SF-12 version 2. Factor analysis was used to confirm the hypothesized component structure of the SF-12 items. 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 practices at level 2) was applied to relate PCS-12 and MCS-12 to patient and practice characteristics.

Results

There were significant associations between lower PCS-12 or MCS-12 score and poorer general health (10.8 (regression coefficient) lower for PCS-12 and 7.3 lower for MCS-12), low socio-economic status (5.1 lower PCS-12 and 2.9 lower MCS-12 for unemployed, 0.8 lower PCS-12 and 1.7 lower MCS-12 for non-owner-occupiers, 1.0 lower PCS-12 for less well-educated) and having two or more chronic conditions (up to 2.7 lower PCS-12 and up to 1.5 lower MCS-12 than those having a single disease). Younger age was associated with lower MCS-12 (2.2 and 6.0 lower than middle age and older age respectively) but higher PCS-12 (4.7 and 7.6 higher than middle age and older age respectively). Satisfaction with quality of care (regression coefficient = 1.2) and patients who were married or cohabiting (regression coefficient = 0.6) was positively associated with MCS-12. Patients born in non-English-speaking countries were more likely to have a lower MCS-12 (1.5 lower) than those born in Australia. Employment had a stronger association with the quality of life of males than that of females. Those attending smaller practices had lower PCS-12 (1.0 lower) and MCS-12 (0.6 lower) than those attending larger practices. At the patient level (level 1) 42% and 21% of the variance respectively for PCS-12 and MCS-12 were explained by the patients and practice characteristics. At the practice level (level 2), 73% and 49% of the variance respectively for PCS-12 and MCS-12 were explained by patients and practice characteristics.

Conclusion

The strong association between patient characteristics such as socio-economic status, age, and ethnicity and SF-12 physical and mental component summary scores underlines the importance of considering these factors in the management of chronically-ill patients in general practice. The SF-12 appears to be a valid measure for assessing HRQOL of Australian chronically-ill patients.

Explaining the variation in the management of lifestyle risk factors in primary health care: a multilevel cross sectional study

Background

Despite evidence for the effectiveness of interventions to modify lifestyle behaviours in the primary health care (PHC) setting, assessment and intervention for these behaviours remains low in routine practice. Little is known about the relative importance of various determinants of practice.

This study aimed to examine the relative importance of provider characteristics and attitudes, patient characteristics and consultation factors in determining the rate of assessment and intervention for lifestyle risk factors in PHC.

Methods

A prospective audit of assessment and intervention for lifestyle risk factors was undertaken by PHC nurses and allied health providers (n = 57) for all patients seen (n = 732) over a two week period. Providers completed a survey to assess key attitudes related to addressing lifestyle issues. Multi-level logistic regression analysis of patient audit records was undertaken. Associations between variables from both data sources were examined, together with the variance explained by patient and consultation (level 1) and provider (level 2) factors.

Results

There was significant variance between providers in the assessment and intervention for lifestyle risk factors. The consultation type and reason for the visit were the most important in explaining the variation in assessment practices, however these factors along with patient and provider variables accounted for less than 20% of the variance. In contrast, multi-level models showed that provider factors were most important in explaining the variance in intervention practices, in particular, the location of the team in which providers worked (urban or rural) and provider perceptions of their effectiveness and accessibility of support services. After controlling for provider variables, patients' socio-economic status, the reason for the visit and providers' perceptions of the 'appropriateness' of addressing risk factors in the consultation were all significantly associated with providing optimal intervention. Together, measured patient consultation and provider variables accounted for most (80%) of the variation in intervention practices between providers.

Conclusion

The findings highlight the importance of provider factors such as beliefs and attitudes, team location and work context in understanding variations in the provision of lifestyle intervention in PHC. Further studies of this type are required to identify variables that improve the proportion of variance explained in assessment practices.

The 45 year old health check - feasibility and impact on practices and patient behaviour

BACKGROUND

The 45 year old health check (MBS item 717) for patients aged 45-49 years was introduced in 2006. This study evaluated its impact on preventive care and patient reported risk factors.

METHODS

A quantitative and qualitative study was conducted in eight general practices in Sydney, New South Wales. It involved follow up surveys of 118 patients taken both before the check and 3 months after. Practice staff were trained and supported to conduct the health checks and appropriate interventions.

RESULTS

There was ambivalence among some of the general practitioners toward the health check, but most found it feasible. The reported frequency of GP advice relating to each of the SNAP (smoking, nutrition, alcohol, and physical activity) risk factors increased; patient referrals, however, were infrequent. Patients' readiness to change their diet and exercise habits improved as a result of the check, with respondents showing an increase in both the consumption of vegetables and the frequency of physical activity. There was no change in body mass index, smoking or alcohol consumption.

DISCUSSION

The health check was associated with a short term improvement in diet and physical activity behaviours. Mechanisms to enhance referral need to be developed.

"Should I and can I?" A mixed methods study of clinician beliefs and attitudes in the management of lifestyle risk factors in primary health care

Background

Primary health care (PHC) clinicians have an important role to play in addressing lifestyle risk factors for chronic diseases. However they intervene only rarely, despite the opportunities that arise within their routine clinical practice. Beliefs and attitudes have been shown to be associated with risk factor management practices, but little is known about this for PHC clinicians working outside general practice. The aim of this study was to explore the beliefs and attitudes of PHC clinicians about incorporating lifestyle risk factor management into their routine care and to examine whether these varied according to their self reported level of risk factor management.

Methods

A cross sectional survey was undertaken with PHC clinicians (n = 59) in three community health teams. Clinicians' beliefs and attitudes were also explored through qualitative interviews with a purposeful sample of 22 clinicians from the teams. Mixed methods analysis was used to compare beliefs and attitudes for those with high and low levels of self reported risk factor management.

Results

Role congruence, perceived client acceptability, beliefs about capabilities, perceived effectiveness and clinicians' own lifestyle were key themes related to risk factor management practices. Those reporting high levels of risk factor screening and intervention had different beliefs and attitudes to those PHC clinicians who reported lower levels.

Conclusion

PHC clinicians' level of involvement in risk factor management reflects their beliefs and attitudes about it. This provides insights into ways of intervening to improve the integration of behavioural risk factor management into routine practice.

Cardiovascular risk management and its impact in Australian general practice patients with type 2 diabetes in urban and rural areas

OBJECTIVE

To investigate the cardiovascular disease (CVD) risk management and its impact on Australian general practice patients with type 2 diabetes in urban and rural areas between 2000 and 2002, and to compare trends over time and differences between urban and rural areas.

DESIGN AND METHODS

Population-based repeated cross-sectional study. 6305 patient records from 2000 to 2002 were extracted from registers of diabetes type 2 patients held by 16 Divisions of General Practice (250 practices) across Australia. Multivariate logistic regression comparing urban and rural patients at differing time-periods and comparing trend changes was conducted using multilevel analysis.

RESULTS

Prescribing of antihypertensive and lipid-lowering medications was infrequent but increased in both urban and rural areas from 2000 to 2002 (p<0.05), while attendance at other allied health professionals did not. While the proportion of patients meeting targets for high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol increased in both areas over time, only in urban areas were there improvements in total cholesterol and blood pressure over time. The proportion of patients meeting targets for HDL-C, triglycerides and smoking cessation were higher in urban areas than in rural areas by 2002.

CONCLUSIONS

Despite a number of national initiatives to improve general practice care and specifically support better care in rural areas, cardiovascular risk management and its impact in Australian general practice patients with type 2 diabetes was still suboptimal during the study period especially among patients from rural areas. Greater effort will be required to reduce the disparity in risk factor prevention for CVD between urban and rural people with type 2 diabetes in Australia.

Cardiovascular risk levels in general practice patients with type 2 diabetes in rural and urban areas

OBJECTIVE

To investigate the change of cardiovascular risk factor from 2000 to 2002 in general practice patients with type 2 diabetes in urban and rural areas, and the association between cardiovascular risk (both single risk factors and coronary heart disease absolute risk (CHDAR)) and rurality in three years.

METHODS

In total, 6305 patients were extracted from 16 Divisions (250 practices). Multivariate regression at Division, practice and patient levels was conducted with adjustment for age and gender.

RESULTS

In each of the three years, most single individual risk factors and CHDAR were high. Comparing 2002 with 2000: for urban patients in 2002 total cholesterol (OR 0.85) and low-density lipoprotein (OR 0.81) significantly decreased, and high-density lipoprotein (HDL) (OR 1.16) significantly increased; for rural patients in 2002 HbA1c (OR 0.85) significantly decreased and HDL (OR 1.22) significantly increased; and CHDAR significantly improved only in urban patients (OR 0.93) in 2002. In 2002 rural patients were still more likely to be overweight/obese (OR 1.16), be current smokers (OR 1.36), and have worse HDL (OR 0.84) and triglycerides (OR 1.23) than their urban counterparts.

CONCLUSION

Some key individual risk factors and CHDAR did not improve in rural patients with type 2 diabetes despite a number of programs designed to provide comprehensive care to rural patients with diabetes. More emphasis is needed on supporting access to lifestyle changes (such as smoking, diet and physical activity) in rural primary health care.

Is Survival from Infiltrating Lobular Carcinoma of the Breast Different from That of Infiltrating Ductal Carcinoma?

Previous studies of patients with breast cancer have compared survival of invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) with contradictory results. This study examines the effect of the diagnosis of IDC or ILC in conjunction with age at diagnosis, pathologic tumor size, pathologic stage, histologic grade, and lymph node status of 307 women with IDC or ILC in 1992 in the Greater Western region of Sydney in Australia. Survival analysis was conducted using the Kaplan-Meier method. Relative risks associated with IDC or ILC and other important prognostic factors and adjusted for each other were computed using Cox proportional hazard regression. The proportion of grade I tumors was significantly higher in ILC (41%) than in IDC (16%). Conversely, the proportion of grade III tumors was only 18% in ILC as against 41% in IDC (p = 0.020). The 10-year survival of women with IDC was 69%, compared to 84% for ILC (p = 0.073). However, the 15 percentile point difference between overall survival of IDC and ILC was markedly reduced after adjustment for nodal status. The difference was eight percentile points for node-negative patients (p = 0.361) and five percentile points for node-positive patients (p = 0.464). Age at diagnosis, tumor size, pathologic stage, and lymph node status were independent prognostic indicators for 10-year survival. There was no prognostic difference between IDC and ILC. The result shows the importance of adjusting for other important clinicopathologic characteristics before comparing the overall survival of IDC and ILC.

Job satisfaction of staff and the team environment in Australian general practice

OBJECTIVE

To study the work satisfaction of general practice staff, the differences between types of staff, and the individual and organisational factors associated with work satisfaction.

DESIGN, SETTING AND PARTICIPANTS

Cross-sectional multipractice study based on a self-completed job satisfaction survey of 626 practice staff in 96 general practices in Australia between 16 December 2003 and 8 October 2004.

MAIN OUTCOME MEASURES

Job satisfaction scores for all staff and for general practitioners alone; relationship between job satisfaction and the team climate, practice size, particular jobs within practices, demographic characteristics of participants, and geographical location of practices.

RESULTS

The response rate was 65%. Job satisfaction was high, with a mean score of 5.66 (95% CI, 5.60-5.72). Multilevel analysis showed that all general practice staff were highly satisfied if they worked in a practice with a good team climate. Practice managers reported the highest satisfaction with their work. Practice size and individual characteristics such as the sex of the participant were unrelated to job satisfaction. GPs tended to have lower satisfaction than other staff in relation to income, recognition for good work and hours of work. Rural GPs were more satisfied.

CONCLUSIONS

Most general practice staff are satisfied with their work. Facilitating teamwork may be a key strategy for both recruitment and retention of the general practice workforce, especially staff who are not GPs.

Quality of chronic disease care in general practice: the development and validation of a provider interview tool

BACKGROUND

This article describes the development and psychometric evaluation of an interview instrument to assess provider-reported quality of general practice care for patients with diabetes, cardiovascular disease and asthma--the Australian General Practice Clinical Care Interview (GPCCI).

METHODS

We administered the GPCCI to 28 general practitioners (family physicians) in 10 general practices. We conducted an item analysis and assessed the internal consistency of the instrument. We next assessed the quality of care recorded in the medical records of 462 of the general practitioners' patients with Type 2 diabetes, ischaemic heart disease/hypertension and/or moderate to severe asthma. This was then compared with results of the GPCCI for each general practice.

RESULTS

Good internal consistency was found for the overall GPCCI (Cronbach's alpha = 0.75). As far as the separate sub-scales were concerned, diabetes had good internal consistency (0.76) but the internal consistency of the heart disease and asthma subscales was not strong (0.49 and 0.16 respectively). There was high inter-rater reliability of the adjusted scores of data extracted from patients' medical notes for each of the three conditions. Correlations of the overall GPCCI and patients' medical notes audit, combined across the three conditions and aggregated to practice level, showed that a strong relationship (r = 0.84, p = 0.003) existed between the two indices of clinical care.

CONCLUSION

This study suggests that the GPCCI has good internal consistency and concurrent validity with patients' medical records in Australian general practice and warrants further evaluation of its properties, validity and utility.

Team climate for innovation: what difference does it make in general practice?

OBJECTIVE

Teamwork in primary healthcare is associated with patient care processes and staff outcomes. The ability of teams to be innovative is a hypothesized mechanism. We examined the characteristics of general practices with good team climate for innovation, and assessed the impact of climate on chronically ill patients' assessment of their care and on the job satisfaction of the staff.

DESIGN

Large cross-sectional study.

SETTING

Australian general practices.

PARTICIPANTS

A total of 654 general practitioners and staff and 7505 chronically ill patients from 93 general practices in 6 Australian states and territories.

MEASURES

The Team Climate Inventory and the Overall Job Satisfaction Scale, customized for use with general practices, were administered to general practitioners and practice staff, and the General Practice Assessment Survey was administered to patients. Practice characteristics were collected by survey from the principal doctor or practice manager.

RESULTS

Mean scores of team climate in Australian general practices were similar to those reported in the UK, except that in our study there was no association between the number of doctors in a practice and their team climate. Better team climate was found in practices with fewer non-clinical staff. Team climate predicted the job satisfaction of the general practitioners and staff, irrespective of the number of practice staff. Better team climate was associated with greater satisfaction by patients with their care.

CONCLUSIONS

Team climate is important for patient and staff satisfaction. In large general practices, separate sub-cultures may exist between administrative and clinical staff, which has implications for designing effective team interventions.

Quality of diabetes care and coronary heart disease absolute risk in patients with type 2 diabetes mellitus in Australian general practice

OBJECTIVE

To examine the quality of diabetes care and prevention of cardiovascular disease (CVD) in Australian general practice patients with type 2 diabetes and to investigate its relationship with coronary heart disease absolute risk (CHDAR).

METHODS

A total of 3286 patient records were extracted from registers of patients with type 2 diabetes held by 16 divisions of general practice (250 practices) across Australia for the year 2002. CHDAR was estimated using the United Kingdom Prospective Diabetes Study algorithm with higher CHDAR set at a 10 year risk of >15%. Multivariate multilevel logistic regression investigated the association between CHDAR and diabetes care.

RESULTS

47.9% of diabetic patient records had glycosylated haemoglobin (HbA1c) >7%, 87.6% had total cholesterol >or=4.0 mmol/l, and 73.8% had blood pressure (BP) >or=130/85 mm Hg. 57.6% of patients were at a higher CHDAR, 76.8% of whom were not on lipid modifying medication and 66.2% were not on antihypertensive medication. After adjusting for clustering at the general practice level and age, lipid modifying medication was negatively related to CHDAR (odds ratio (OR) 0.84) and total cholesterol. Antihypertensive medication was positively related to systolic BP but negatively related to CHDAR (OR 0.88). Referral to ophthalmologists/optometrists and attendance at other health professionals were not related to CHDAR.

CONCLUSIONS

At the time of the study the diabetes and CVD preventive care in Australian general practice was suboptimal, even after a number of national initiatives. The Australian Pharmaceutical Benefits Scheme (PBS) guidelines need to be modified to improve CVD preventive care in patients with type 2 diabetes.

Reliability and validity of arm volume measurements for assessment of lymphedema

BACKGROUND AND PURPOSE

Arm lymphedema following breast cancer surgery is a continuing problem. In this study, we assessed the reliability and validity of circumferential measurements and water displacement for measuring upper-limb volume.

SUBJECTS

Participants included subjects who had had breast cancer surgery, including axillary dissection--19 with and 22 without a diagnosis of arm lymphedema--and 25 control subjects.

METHODS

Two raters measured each subject by using circumferential tape measurements at specified distances from the fingertips and in relation to anatomic landmarks and by using water displacement. Interrater reliability was calculated by analysis of variance and multilevel modeling. Volumes from circumferential measurements were compared with those from water displacement by use of means and correlation coefficients, respectively. The standard error of measurement, minimum detectable change (MDC), and limits of agreement (LOA) for volumes also were calculated.

RESULTS

Arm volumes obtained with these methods had high reliability. Compared with volumes from water displacement, volumes from circumferential measurements had high validity, although these volumes were slightly larger. Expected differences between subjects with and without clinical lymphedema following breast cancer were found. The MDC of volumes or the error associated with a single measure for data based on anatomic landmarks was lower than that based on distance from fingertips. The mean LOA with water displacement were lower for data based on anatomic landmarks than for data based on distance from fingertips.

DISCUSSION AND CONCLUSION

Volumes calculated from anatomic landmarks are reliable, valid, and more accurate than those obtained from circumferential measurements based on distance from fingertips.

Is age at diagnosis an independent prognostic factor for survival following breast cancer?

BACKGROUND

Previous studies of patients with breast cancer have examined age at diagnosis as a prognostic factor for survival with contradictory results. The current study examines the effect of age in conjunction with pathological tumour size, lymph node status and histological grade to clarify whether age at diagnosis is an independent factor for overall survival.

METHODS

This is a population-based study that examines the survival of 393 women with a first diagnosis of breast cancer in 1992 in the Greater Western region of Sydney in New South Wales, Australia. Survival analysis was conducted using the Kaplan-Meier method. Relative risks associated with age at diagnosis, pathological tumour size, and number of positive lymph nodes and histological grade and adjusted for each other were computed using Cox proportional hazard regression. Patients' ages were categorized as 'younger' (<40 years of age at diagnosis), 'middle-aged' (40-69 years) or 'older age' (>69 years).

RESULTS

The 10-year survival of women <40 years was 49%, which was significantly lower than 'middle-aged' women (73%). For women with node-negative breast cancer, younger women had a significantly (P = 0.011) poorer survival rate (68%) than middle-aged (90%) or older women (80%). After adjusting for the effects of the pathological tumour size, the lymph node status and histological grade, women <40 years showed a higher risk of dying than older women. However, young women detected with a small (<20 mm) node-negative tumour have a good prognosis.

CONCLUSIONS

Age at diagnosis, tumour size and lymph node status were independent prognostic indicators for survival. Age at diagnosis should be considered as an important factor in making decisions about adjuvant therapy, irrespective of nodal status.