Diabetes and the use of primary care provider services in rural, remote and metropolitan Australia.

INTRODUCTION: Public health agencies around the world are concerned about an ever-increasing burden of type 2 diabetes and related disability. Access to primary care providers (PCPs) can support early diagnosis and management. However, there is limited literature on how frequently older people with diabetes access PCPs, and their levels of access in rural Australia relative to metropolitan areas. METHODS: In this research, patterns of PCP use among those with diagnosed diabetes and those without diagnosed diabetes (referred to as 'healthy' individuals) were compared using a large survey of more than 230 000 people aged 45 years and older from New South Wales, Australia. A published model to study the PCP access patterns of a group of individuals with diabetes risk was used. RESULTS: Annual visits to PCPs among people aged 45 years or more with diabetes in rural areas, while higher than for healthy rural residents, were significantly lower than their metropolitan counterparts, mirroring similar disparities in PCP use across the rural-urban divide in the healthy population. Similar patterns were present in the high-risk population. Nevertheless, people with diabetes visited PCPs around four times a year, which is around the recommended number of annual visits, although some groups (eg those with comorbidities) may need more visits. CONCLUSION: Patterns of PCP use among rural residents, while significantly less frequent than their metropolitan counterparts, are at the recommended level for people with diabetes.

Prescription opioid dispensing in New South Wales, Australia: spatial and temporal variation.

BACKGROUND: Patterns of opioid dispensing often exhibit substantial temporal and geographical variability, which has implications for public health policy decisions and interventions. The study examined recent trends in prescription opioid dispensing and identified high dispensing areas and factors associated with the doses dispensed. METHODS: Three years (1 January 2013-31 December 2015) of dispensing data of prescription opioids in local government areas (LGAs) for New South Wales (NSW), Australia's most populous state, were analyzed. The proportion of individuals who were dispensed opioids was computed for four age-groups. A Chi-square test was used to examine trends over time in proportions of the population who were dispensed opioids in four age-groups. The number of prescriptions over time and quantities in daily defined dose/1000 people/day (denoted DDD) were also examined. LGAs with relatively high levels of dispensing were identified and mapped. A multivariate regression model was used to identify factors associated with DDD. RESULTS: Overall, codeine, oxycodone and tramadol were the main opioids in terms of DDD, number of prescriptions and number of individuals who were dispensed these medications. Quantity (in DDD), and population dispensed to were consistently higher for women than men over time. Proportions of individuals who were dispensed opioids increased significantly over time in all four age-groups. In the multivariate model, age, urbanization, sex and socio-economic indexes for areas were significantly associated with doses dispensed among opioid users. All areas with very high dispensing were outside major metropolitan areas. CONCLUSIONS: Given that over-use of opioids is a major public health problem and that long-term use has substantial side effects including dependence, it is important to understand spatial patterns of opioid prescribing to enable targeted interventions. Nationwide implementation of real-time drug-monitoring programs and access to monitoring databases from both doctor and pharmacy point-of-care sources may potentially reduce excessive and undue use of opioid.

How Can Geographical Information Systems and Spatial Analysis Inform a Response to Prescription Opioid Misuse? A Discussion in the Context of Existing Literature.

The misuse of prescription opioids is a major public health problem in the United States, Canada, Australia and other parts of the developed world. Methods to quantify dimensions of the risk environment in relation to drug usage and law enforcement that are both structural and spatial, draw geography into traditional public health research even though there has been limited attempt to address the prescription opioid misuse problem from a geographic perspective. We discuss how geographic technologies can be utilized to study the landscape of prescription opioids and similar drugs, and target appropriate health services interventions. We use examples drawn from various jurisdictions to present our case and highlight through these examples how a geospatial perspective can help support research on prescription opioid misuse. The prescription drug misuse landscape can be studied through examination of the domains of demand, supply, harms and harm reduction. We discuss how each of these domains can benefit from a local geographic perspective, and subsequent geographic exploration and analyses.

Does it matter who organises your health care?

BACKGROUND: As the prevalence of long-term and multimorbid conditions is increasing, patients increasingly require consultations with multiple health care professionals and coordination of their care needs. METHODS: This study is based on a 2011 survey of older Australians which draws on sub-populations of people with diabetes aged 50 years or over, people with chronic obstructive pulmonary disease, and members of Nationals Seniors Australia. We develop a composite coordination measure and examine differences in the measure with different care coordination indicators using both descriptive and regression methods. Three categories of respondent-perceived care organisers are used: health care professionals; "no one"; and patients, their partner, relative or friend. RESULTS: Of the 2,540 survey respondents (an overall response rate of 24%), 1,865 provided information on who organised their health care, and composite coordination measures were calculated for 1,614. Multivariate analysis showed the composite score was highest where a health care professional coordinated care, followed by care organised by self or a carer, and then the group reporting no organiser. CONCLUSION: In moving towards care coordination there are opportunities to improve the care coordination process itself, and the key enablers to improving care coordination appear to be the availability and communication of clinical information and the role of the clinical team.

Time spent on health-related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity?

OBJECTIVE: To examine the effect of various morbidity clusters of chronic diseases on health-related time use and to explore factors associated with heavy time burden (more than 30 hours/month) of health-related activities. METHODS: Using a national survey, data were collected from 2,540 senior Australians. Natural clusters were identified using cluster analysis and clinical clusters using clinical expert opinion. We undertook a set of linear regressions to model people's time use, and logistic regressions to model heavy time burden. RESULTS: Time use increases with the number of chronic diseases. Six of the 12 diseases are significantly associated with higher time use, with the highest effect for diabetes followed by depression; 18% reported a heavy time burden, with diabetes again being the most significant disease. Clusters and dominant comorbid groupings do not contribute to predicting time use or time burden. CONCLUSIONS: Total number of diseases and specific diseases are useful determinants of time use and heavy time burden. Dominant groupings and disease clusters do not predict time use. IMPLICATIONS: In considering time demands on patients and the need for care co-ordination, care providers need to be aware of how many and what specific diseases the patient faces.

Recruiting general practitioners for surveys: reflections on the difficulties and some lessons learned.

Surveys of GPs are essential to facilitate future planning and delivery of health services. However, recruitment of GPs into research has been disappointing with response rates declining over recent years. This study identified factors that facilitated or hampered GP recruitment in a recent survey of Australian GPs where a range of strategies were used to improve recruitment following poor initial responses. GP response rates for different stages of the survey were examined and compared with reasons GPs and leaders of university research networks cited for non-participation. Poor initial response rates were improved by including a questionnaire in the mail-out, changing the mail-out source from an unknown research team to locally known network leaders, approaching a group of GPs known to have research and training interests, and offering financial compensation. Response rates increased from below 1% for the first wave to 14.5% in the final wave. Using a known and trusted network of professionals to endorse the survey combined with an explicit compensation payment significantly enhanced GP response rates. To obtain response rates for surveys of GPs that are high enough to sustain external validity requires an approach that persuades GPs and their gatekeepers that it is worth their time to participate.

Out-of-pocket expenditure by Australian seniors with chronic disease: the effect of specific diseases and morbidity clusters.

BACKGROUND: Out of pocket expenditure (OOPE) on healthcare is related to the burden of illness and the number of chronic conditions a patient experiences, but the relationship of these costs to particular conditions and groups of conditions is less studied. This study examines the effect on OOPE of various morbidity groupings, and explores the factors associated with a 'heavy financial burden of OOPE' defined by an expenditure of over 10% of equivalised household income on healthcare. METHODS: Data were collected from 4,574 senior Australians using a stratified sampling procedure by age, rurality and state of residence. Natural clusters of chronic conditions were identified using cluster analysis and clinically relevant clusters based on expert opinion. We undertook logistic regression to model the probability of incurring OOPE, and a heavy financial burden; linear regression to explore the significant factors of OOPE; and two-part models to estimate the marginal effect of factors on OOPE. RESULTS: The mean OOPE in the previous three months was AU$353; and 14% of respondents experienced a heavy financial burden. Medication and medical service expenses were the major costs. Those who experienced cancer, high blood pressure, diabetes or depression were likely to report higher OOPE. Patients with cancer or diabetes were more likely than others to face a heavy burden of OOPE relative to income. Total number of conditions and some specific conditions predict OOPE but neither the clusters nor pairs of conditions were good predictors of OOPE. CONCLUSIONS: Total number of conditions and some specific conditions predict both OOPE and heavy financial burden but particular comorbid groupings are not useful in predicting OOPE. Low-income patients pay a higher proportion of income than the well-off as OOPE for healthcare. Interventions targeting those who are likely to face severe financial burdens due to their health could address some of these differences.

An inevitable wave of prescription drug monitoring programs in the context of prescription opioids: pros, cons and tensions.

BACKGROUND: In an effort to control non-medical use and/or medical abuse of prescription drugs, particularly prescription opioids, electronic prescription drug monitoring programs (PDMP) have been introduced in North-American countries, Australia and some parts of Europe. Paradoxically, there are simultaneous pressures to increase opioid prescribing for the benefit of individual patients and to reduce it for the sake of public health, and this pressure warrants a delicate balance of appropriate therapeutic uses of these drugs with the risk of developing dependence. This article discusses pros and cons of PDMP in reducing diversion of prescription opioids, without hampering access to those medications for those with genuine needs, and highlights tensions around PDMP implementation. DISCUSSION: PDMPs may help alleviate diversion, over-prescription and fraudulent prescribing/dispensing; prompt drug treatment referrals; avoid awkward drug urine test; and inform spatial changes in prescribing practices and help designing tailored interventions. Fear of legal retribution, privacy and data security, potential confusion about addiction and pseudo-addiction, and potential undue pressure of detecting misuse/diversion - are the major problems. There are tensions about unintended consequence of excessive regulatory enforcements, corresponding collateral damages particularly about inadequate prescribing for patients with genuine needs, and mandatory consultation requirements of PDMP. SUMMARY: In this era of information technology PDMP is likely to flourish and remain with us for a long time. A clear standard of practice against which physicians' care will be judged may expedite the utilisation of PDMP. In addition, adequate training on addiction and pain management along with public awareness, point-of-supply data entry from pharmacy, point-of-care real-time access to data, increasing access to addiction treatment and appropriate regulatory enforcement preferably through healthcare administration, together, may help remove barriers to PDMP use.

People with multiple unhealthy lifestyles are less likely to consult primary healthcare.

BACKGROUND: Behavioural interventions are often implemented within primary healthcare settings to prevent type 2 diabetes and other lifestyle-related diseases. Although smoking, alcohol consumption, physical inactivity and poor diet are associated with poorer health that may lead a person to consult a general practitioner (GP), previous work has shown that unhealthy lifestyles cluster among low socioeconomic groups who are less likely to seek primary healthcare. Therefore, it is uncertain whether behavioural interventions in primary healthcare are reaching those in most need. This study investigated patterns of GP consultations in relation to the clustering of unhealthy lifestyles among a large sample of adults aged 45 years and older in New South Wales, Australia. METHODS: A total of 267,153 adults participated in the 45 and Up Study between 2006 and 2009, comprising 10% of the equivalent demographic in the state of New South Wales, Australia (response rate: 18%). All consultations with GPs within 6 months prior and post survey completion were identified (with many respondents attending multiple GPs) via linkage to Medicare Australia data. An index of unhealthy lifestyles was constructed from self-report data on adherence to published guidelines on smoking, alcohol consumption, diet and physical activity. Logistic and zero-truncated negative binomial regression models were used to analyse: (i) whether or not a person had at least one GP consultation within the study period; (ii) the count of GP consultations attended by each participant who visited a GP at least once. Analyses were adjusted for measures of health status, socioeconomic circumstances and other confounders. RESULTS: After adjustment, participants scoring 7 unhealthy lifestyles were 24% more likely than persons scoring 0 unhealthy lifestyles not to have attended any GP consultation in the 12-month time period. Among those who attended at least one consultation, those with 7 unhealthy lifestyles reported 7% fewer consultations than persons with 0 unhealthy lifestyles. No effect modification was observed. CONCLUSION: To optimise the prevention of lifestyle-related diseases, interventions for positive behavioural change need to incorporate non-primary healthcare settings in order to reach people with multiple unhealthy lifestyles.

Multimorbidity and comorbidity of chronic diseases among the senior Australians: prevalence and patterns.

Understanding patterns and identifying common clusters of chronic diseases may help policymakers, researchers, and clinicians to understand the needs of the care process better and potentially save both provider and patient time and cost. However, only limited research has been conducted in this area, and ambiguity remains as those limited previous studies used different approaches to identify common clusters and findings may vary with approaches. This study estimates the prevalence of common chronic diseases and examines co-occurrence of diseases using four approaches: (i) identification of the most occurring pairs and triplets of comorbid diseases; performing (ii) cluster analysis of diseases, (iii) principal component analysis, and (iv) latent class analysis. Data were collected using a questionnaire mailed to a cross-sectional sample of senior Australians, with 4574 responses. Eighty-two percent of respondents reported having at least one chronic disease and over 52% reported having at least two chronic diseases. Respondents suffering from any chronic diseases had an average of 2.4 comorbid diseases. Three defined groups of chronic diseases were identified: (i) asthma, bronchitis, arthritis, osteoporosis and depression; (ii) high blood pressure and diabetes; and (iii) cancer, with heart disease and stroke either making a separate group or "attaching" themselves to different groups in different analyses. The groups were largely consistent across the approaches. Stability and sensitivity analyses also supported the consistency of the groups. The consistency of the findings suggests there is co-occurrence of diseases beyond chance, and patterns of co-occurrence are important for clinicians, patients, policymakers and researchers. Further studies are needed to provide a strong evidence base to identify comorbid groups which would benefit from appropriate guidelines for the care and management of patients with particular disease clusters.

Time spent by people managing chronic obstructive pulmonary disease indicates biographical disruption.

Since Bury's 1982 proposal that chronic illness creates biographical disruption for those who are living with it, there has been no effort to quantitatively measure such disruption. "Biographical disruption" refers to the substantial and directive influence that chronic illness can have over the course of a person's life. Qualitative research and time use studies have demonstrated that people with chronic illnesses spend considerable amounts of time managing their health, and that these demands may change over time. This study was designed to measure the time that older people with chronic illnesses spend on selected health practices as one indicator of biographical disruption. We look specifically at the time use of people with chronic obstructive pulmonary disease (COPD). As part of a larger time use survey, a recall questionnaire was mailed to 3,100 members of Lung Foundation Australia in 2011. A total of 681 responses were received (22.0% response rate), 611 of which were from people with COPD. Descriptive analyses were undertaken on the amount of time spent on selected health-related activities including personal care, nonclinical health-related care, and activity relating to health services. Almost all people with COPD report spending some time each day on personal or home-based health-related tasks, with a median time of 15 minutes per day spent on these activities. At the median, people also report spending about 30 minutes per day exercising, 2.2 hours per month (the equivalent of 4.4 minutes per day) on nonclinical health-related activities, and 4.1 hours per month (equivalent to 8.2 minutes per day) on clinical activities. Excluding exercise, the median total time spent on health-related activities was 17.8 hours per month (or 35.6 minutes per day). For people in the top 10% of time use, the total amount of time was more than 64.6 hours per month (or 2.2 hours per day) excluding exercise, and 104 hours per month (or 3.5 hours per day) including exercise. The amount of time spent on health-related activity, such as engaging in personal care tasks, may be regular and predictable. The execution of these tasks generally takes relatively small amounts of time, and might be incorporated into daily life (biography) without causing significant disruption. Other activities may require large blocks of time, and they may be disruptive in a practical way that almost inevitably disrupts biography. The amount of time required does not appear to alter in relation to the time since diagnosis. The scale of time needed to manage one's health could easily be interpreted as disruptive, and for some people, even overwhelming.

Time spent on health related activity by older Australians with diabetes.

AIMS: There is little information available about what people do to look after their health, or how long people spend on health activities. This study identifies key health related activities and time taken as part of self management by people with diabetes. Management planning often lacks information that this study provides that would help clinicians and patients to create manageable and do-able plans that patients can follow. METHODS: Data were collected in 2010 using a national survey of people aged 50 years the National Diabetes Services Scheme. Respondents provided recall data on time used for personal health care, non-clinical health activity; and health service interactions. Data were analysed using Stata 12 and SPSS 19. RESULTS: While most people with diabetes spend on average less than 30 minutes a day on health-related activities (excluding exercise), the highest decile of respondents averaged over 100 minutes. Time spent increased with the number of co-existent conditions. Taking medication and sitting in waiting rooms were the most frequently reported activities. The greatest amount of time was spent on daily personal health care activities. CONCLUSION: The time demands of diabetes for older people can be substantial. Better patient engagement in self management might result from a better match in care planning between the illness demands and the patient time availability, with potential to reduce admissions for hospital care.

Time's up. descriptive epidemiology of multi-morbidity and time spent on health related activity by older Australians: a time use survey.

Most Western health systems remain single illness orientated despite the growing prevalence of multi-morbidity. Identifying how much time people with multiple chronic conditions spend managing their health will help policy makers and health service providers make decisions about areas of patient need for support. This article presents findings from an Australian study concerning the time spent on health related activity by older adults (aged 50 years and over), most of whom had multiple chronic conditions. A recall questionnaire was developed, piloted, and adjusted. Sampling was undertaken through three bodies; the Lung Foundation Australia (COPD sub-sample), National Diabetes Services Scheme (Diabetes sub-sample) and National Seniors Australia (Seniors sub-sample). Questionnaires were mailed out during 2011 to 10,600 older adults living in Australia. 2540 survey responses were received and analysed. Descriptive analyses were completed to obtain median values for the hours spent on each activity per month. The mean number of chronic conditions was 3.7 in the COPD sub-sample, 3.4 in the Diabetes sub-sample and 2.0 in the NSA sub-sample. The study identified a clear trend of increased time use associated with increased number of chronic conditions. Median monthly time use was 5-16 hours per month overall for our three sub-samples. For respondents in the top decile with five or more chronic conditions the median time use was equivalent to two to three hours per day, and if exercise is included in the calculations, respondents spent from between five and eight hours per day: an amount similar to full-time work. Multi-morbidity imposes considerable time burdens on patients. Ageing is associated with increasing rates of multi-morbidity. Many older adults are facing high demands on their time to manage their health in the face of decreasing energy and mobility. Their time use must be considered in health service delivery and health system reform.

Consultations with complementary and alternative medicine practitioners by older Australians: results from a national survey.

BACKGROUND: The use of complementary and alternative medicines (CAM) and CAM practitioners is common, most frequently for the management of musculoskeletal conditions. Knowledge is limited about the use of CAM practitioners by older people, and specifically those with other long term or chronic conditions. METHODS: In 2011 we conducted an Australia wide survey targeting older adults aged over 50 years (n = 2540). Participants were asked to identify their chronic conditions, and from which health professionals they had 'received advice or treatment from in the last 3 months', including 'complementary health practitioners, e.g. naturopath'. Descriptive analyses were undertaken using SPSS and STATA software. RESULTS: Overall, 8.8% of respondents reported seeing a CAM practitioner in the past three months, 12.1% of women and 3.9% of men; the vast majority also consulting medical practitioners in the same period. Respondents were more likely to report consulting a CAM practitioner if they had musculoskeletal conditions (osteoporosis, arthritis), pain, or depression/anxiety. Respondents with diabetes, hypertension and asthma were least likely to report consulting a CAM practitioner. Those over 80 reported lower use of CAM practitioners than younger respondents. CAM practitioner use in a general older population was not associated with the number of chronic conditions reported, or with the socio-economic level of residence of the respondent. CONCLUSION: Substantial numbers of older Australians with chronic conditions seek advice from CAM practitioners, particularly those with pain related conditions, but less often with conditions where there are clear treatment guidelines using conventional medicine, such as with diabetes, hypertension and asthma. Given the policy emphasis on better coordination of care for people with chronic conditions, these findings point to the importance of communication and integration of health services and suggest that the concept of the 'treating team' needs a broad interpretation.

Health work by older people with chronic illness: how much time does it take?

PURPOSE: People living with chronic illness report spending a lot of time managing their health, attempting to balance the demands of their illness/es with other activities. This study was designed to measure the time older people with chronic illness spend on specific health-related activities. Key methods: Data were collected in 2010 using a national survey of people aged 50 years and over selected from the membership of National Seniors Australia, the Diabetes Services Scheme and The Lung Foundation. Respondents provided recall data on time used for personal health care, non-clinical health activity; and health service interactions. MAIN RESULTS: While most people with a chronic illness spend on average less than 30 minutes a day on health-related activities, the highest decile of respondents averaged at least 2 hours each day. People with COPD report the highest expenditure of time. The greatest amount of time was spent on daily personal health care activities. MAIN CONCLUSION: For a minority of people with chronic illness, time demands for health-related activities can be so great that other activities must be affected. Some time demands are amenable to system interventions that would result in a more patient-centered organisation of care.

Coordination of care in Australian mental health policy.

OBJECTIVE: To review Australian mental health initiatives involving coordination of care. METHODS: Commonwealth government websites were systematically searched for mental health policy documents. Database searches were also conducted using the terms 'coordination' or 'integration' and 'mental health' or 'mental illness' and 'Australia'. We assessed the extent to which informational, relational and management continuity have been addressed in three example programs. RESULTS: The lack of definition of coordination at the policy level reduces opportunities for developing actionable and measurable programs. Of the 51 mental health initiatives identified, the three examples studied all demonstrated some use of the dimensions of continuity to facilitate coordination. However, problems with funding, implementation, evaluation and competing agendas between key stakeholders were barriers to improving coordination. CONCLUSIONS: Coordination is possible and can improve both relationships between providers and care provided. However, clear leadership, governance and funding structures are needed to manage the challenges encountered, and evaluation using appropriate outcome measures, structured to assess the elements of continuity, is necessary to detect improvements in coordination.

A national survey of general practitioners' experiences of patient-initiated aggression in Australia.

OBJECTIVE: To determine the prevalence of patient-initiated aggression toward general practitioners in Australia. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional national survey, conducted during February-May 2010, of 3090 GPs in 19 Divisions of General Practice, purposively sampled to represent urban, rural and remote areas. MAIN OUTCOME MEASURE: Proportion of GPs experiencing patient-initiated aggression. RESULTS: Eight-hundred and four GPs returned completed surveys (response rate, 26.3%). In the previous 12 months, 58% of GPs had experienced verbal abuse and 18% had experienced property damage or theft. Very few GPs had experienced physical abuse (6%), stalking (4%), sexual harassment (6%) or sexual assault (0.1%). After controlling for other demographic variables, GPs with fewer years of experience (P = 0.003), or who worked full-time or in larger practices (both P = 0.03) experienced significantly more verbal abuse than their counterparts, and GPs who worked full-time (P = 0.004) or in metropolitan areas (P = 0.01) experienced significantly more property damage or theft. Female GPs experienced significantly more sexual harassment than male GPs (P < 0.001). CONCLUSIONS: This is the first national evidence of the prevalence of patient aggression toward GPs in Australia, which could inform the development of policies and guidelines that aim to reduce the prevalence of patient aggression toward GPs.