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.

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.

Primary health care nurse perception and men’s expectation of the role of the primary health care nurse in providing men’s health services in the primary care setting in Victoria

 This study adds significantly to the current paucity of knowledge around men's health in Australian primary care and in particular stresses the need for men's health care education to be more reliable and systematic foundation for men's sexual health, mental health and health promotion.

Tantalus and the tyranny of territory : pursuing the dream of parity in rural and metropolitan population health outcomes through primary health care programs

Many health professionals and rural health academics are motivated by the challenge of achieving equitable access to health care in rural communities with the implicit vision that fairer access to services might ultimately lead to more equitable health outcomes for people living in rural and remote settings. The purpose of this paper is to put the issue of rural and urban health outcome parity into perspective and assess recent progress towards achieving the ultimate goal of improving rural health status. I will also explore ways in which rural communities might increase their access to and use of primary health care revenue in the future to improve community health outcomes. While some improvements have been achieved across the rural health system in recent times, the fundamental problem of maintaining infrastructure to service community needs in rural areas remains as daunting as ever. Extensive evidence has now been assembled to show that rural people generally enjoy a much lower standard of health care, health outcomes and life expectancy than their urban cousins. The question underlying all of this evidence, however, is... must this always be so? Is it possible to redress the current inequities between rural and urban populations and could new primary health care initiatives, such as the Enhanced Primary Care (EPC) program, be vehicles for achieving more equitable health care arrangements and health outcomes for people living in rural communities?

Engaging rural communities in health care through a paramedic expanded scope of practice

Introduction: This article explores how community engagement by paramedics in an expanded scope role contributes to both primary health care and to an overall improved emergency response capacity in rural communities. Understanding how expanded scope paramedics (ESP) can strengthen community healthcare collaborations is an important need in rural areas where low workforce numbers necessitate innovation.

Methods: Four examples of Australian rural ESP roles were studied in Tasmania, New South Wales, South Australia and Victoria to gather information on consistent elements that could inform a paramedic expanded scope model. Qualitative data were collected from semi-structured interviews with key stakeholders and organisational documents. Thematic analysis within and across cases found community engagement was a key element in the varied roles. This article relies heavily on data from the Victorian and Tasmanian case studies because community engagement was a particularly strong aspect of these cases.

Results: The ESP in the case studies increased interactions between ambulance services and rural communities with an overall benefit to health care through: increasing community response capacity; linking communities more closely to ambulance services; and increasing health promotion and illness prevention work at the community level. Leadership, management and communication skills are important for paramedics to successfully undertake expanded scope roles.

Conclusion: ESP in rural locations can improve health care beyond direct clinical skill by active community engagement that expands the capacity of other community members and strengthens links between services and communities. As health services look to gain maximum efficiency from the health workforce, understanding the intensification of effort that can be gained from practitioner and community coalitions provides important future directions.

Integrating psychologists into the Canadian health care system : the example of Australia

Canada and Australia share many similarities in terms of demographics and the structure of their health systems; however, there has been a divergence in policy approaches to public funding of psychological care. Recent policy reforms in Australia have substantially increased community access to psychologists for evidence-based treatment for high prevalence disorders. In Canada, access remains limited with the vast majority of consultations occurring in the private sector, which is beyond the reach of many individuals due to cost considerations. With the recent launch of the Mental Health Commission of Canada, it is timely to reflect on the context of the current Canadian and Australian systems of psychological care. We argue that integrating psychologists into the publicly-funded primary care system in Canada would be feasible, beneficial for consumers, and cost-effective.

Mental health care system optimization from a health-economics perspective: where to sow and where to reap?

Health care expenditure (as % of GDP) has been rising in all OECD countries over the last decades. Now, in the context of the economic downturn, there is an even more pressing need to better guarantee the sustainability of health care systems. This requires that policy makers are informed about optimal allocation of budgets. We take the Dutch mental health system in the primary care setting as an example of new ways to approach optimal allocation.

Preventive social health programs : are they Australia's answer to rising health care costs in rural communities?

Although we have good evidence to support the notion that early intervention, prevention and community education programs can mitigate the impact of preventable disease, expanded primary health care is also being promoted by Australian governments as a panacea for reducing growth in demand generally. While preventive programs do reduce acute demand, they may not do so the extent that resources, currently allocated to the acute sector, can be substituted to provide the additional primary care services necessary to reduce acute demand permanently. These developments have particular relevance for rural and isolated communities where access to acute services is already very limited. What appears to be occurring, in rural South Australia at least, is that traditional acute services are being reduced and replaced with lower level care and social intervention programs. This is well and good, but eventually the acute care being provided in rural health units now will still need to be provided by other units elsewhere and probably at much higher cost to the system and to consumers. Where rural communities have previously managed much of their own acute service demand, they may now be forced to send patients to more distant centres for care but at much greater social and economic cost to individuals and the system.

Health-care costs over 15 years after bariatric surgery for patients with different baseline glucose status: results from the Swedish Obese Subjects study

BACKGROUND: Bariatric surgery prevents and induces remission of type 2 diabetes in many patients. The effect of preoperative glucose status on long-term health-care costs is unknown. We aimed to assess health-care costs over 15 years for patients with obesity treated conventionally or with bariatric surgery and who had either euglycaemia, prediabetes, or type 2 diabetes before intervention. METHODS: The Swedish Obese Subjects (SOS) study is a prospective study of adults who had bariatric surgery and contemporaneously matched controls who were treated conventionally (age 37-60 years; BMI of ≥34 in men and ≥38 in women) recruited from 25 Swedish surgical departments and 480 primary health-care centres. Exclusion criteria were identical for both study groups, and were previous gastric or bariatric surgery, recent malignancy or myocardial infarction, selected psychiatric disorders, and other contraindicating disorders to bariatric surgery. Conventional treatment ranged from no treatment to lifestyle intervention and behaviour modification. In this study, we retrieved prescription drug costs for the patients in the SOS study via questionnaires and the nationwide Swedish Prescribed Drug Register. We retrieved data for inpatient and outpatient visits from the Swedish National Patient Register. We followed up the sample linked to register data for up to 15 years. We adjusted mean differences for baseline characteristics. Analyses were by intention to treat. The SOS study is registered with ClinicalTrials.gov, number NCT01479452. FINDINGS: Between Sept 1, 1987, and Jan 31, 2001, 2010 adults who had bariatric surgery and 2037 who were treated conventionally were enrolled into the SOS study. In this study, we followed up 4030 patients (2836 who were euglycaemic; 591 who had prediabetes; 603 who had diabetes). Drug costs did not differ between the surgery and conventional treatment groups in the euglycaemic subgroup (surgery US$10,511 vs conventional treatment $10,680; adjusted mean difference -$225 [95% CI -2080 to 1631]; p=0·812), but were lower in the surgery group in the prediabetes ($10,194 vs $13,186; -$3329 [-5722 to -937]; p=0·007) and diabetes ($14,346 vs $19,511; -$5487 [-7925 to -3049]; p<0·0001) subgroups than in the conventional treatment group. Compared with the conventional treatment group, we noted greater inpatient costs in the surgery group for the euglycaemic ($51,225 vs $25,313; $22,931 [19,001-26,861]; p<0·0001), prediabetes ($58,699 vs $32,861; $27,152 [18,736-35,568]; p<0·0001), and diabetes ($61,569 vs $47,569; 18,697 [9992-27,402]; p<0·0001) subgroups. We noted no differences in outpatient costs. Total health-care costs were higher in the surgery group in the euglycaemic ($71,059 vs $45,542; $22,390 [17,358-27,423]; p<0·0001) and prediabetes ($78,151 vs $54,864; $26,292 [16,738-35,845]; p<0·0001) subgroups than in the conventional treatment group, whereas we detected no difference between treatment groups in patients with diabetes ($88,572 vs $79,967; $9081 [-1419 to 19,581]; p=0·090). INTERPRETATION: Total health-care costs were higher for patients with euglycaemia or prediabetes in the surgery group than in the conventional treatment group, but we detected no difference between the surgery and conventional treatment groups for patients with diabetes. Long-term health-care cost results support prioritisation of patients with obesity and type 2 diabetes for bariatric surgery. FUNDING: AFA Försäkring and Swedish Scientific Research Council.

Primary mental health care reform in Australia : the vision and the reality

Reports on primary mental health care reform in Australia 1991-2001 and the involvement of general practioners as the key providers. Investigates the degree to which the vision of policy makers and key stakeholders for a more integrated and effective system had been achieved. Findings suggested there is a considerable mismatch between the policy vision and the implementation reality and that the current system falls short of providing the support and systemic changes necessary for GPs to provide effective mental health care.

Is change in global self-rated health associated with change in affiliation with a primary care provider? Findings from a longitudinal study from New Zealand

To investigate the association of self-rated health and affiliation with a primary care provider (PCP) in New Zealand.
Methods

We used data from a New Zealand panel study of 22,000 adults. The main exposure was self-rated health, and the main outcome measure was affiliation with a PCP. Fixed effects conditional logistic models were used to control for observed time-varying and unobserved time-invariant confounding.
Results

In any given wave, the odds of being affiliated with a PCP were higher for those in good and fair/poor health relative to those in excellent health. While affiliation for Europeans increased as reported health declined, the odds of being affiliated were lower for Māori respondents reporting very good or good health relative to those in excellent health. No significant differences in the association by age or gender were observed.
Conclusions

Our data support the hypothesis that those in poorer health are more likely to be affiliated with a PCP. Variations in affiliation for Māori could arise for several reasons, including differences in care-seeking behaviour and perceived need of care. It may also mean that the message about the benefits of primary health care is not getting through equally to all population groups.