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

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

General practitioner (family physician) workforce in Australia: comparing geographic data from surveys, a mailing list and medicare

BACKGROUND Good quality spatial data on Family Physicians or General Practitioners (GPs) are key to accurately measuring geographic access to primary health care. The validity of computed associations between health outcomes and measures of GP access such as GP density is contingent on geographical data quality. This is especially true in rural and remote areas, where GPs are often small in number and geographically dispersed. However, there has been limited effort in assessing the quality of nationally comprehensive, geographically explicit, GP datasets in Australia or elsewhere.Our objective is to assess the extent of association or agreement between different spatially explicit nationwide GP workforce datasets in Australia. This is important since disagreement would imply differential relationships with primary healthcare relevant outcomes with different datasets. We also seek to enumerate these associations across categories of rurality or remoteness. METHOD We compute correlations of GP headcounts and workload contributions between four different datasets at two different geographical scales, across varying levels of rurality and remoteness. RESULTS The datasets are in general agreement with each other at two different scales. Small numbers of absolute headcounts, with relatively larger fractions of locum GPs in rural areas cause unstable statistical estimates and divergences between datasets. CONCLUSION In the Australian context, many of the available geographic GP workforce datasets may be used for evaluating valid associations with health outcomes. However, caution must be exercised in interpreting associations between GP headcounts or workloads and outcomes in rural and remote areas. The methods used in these analyses may be replicated in other locales with multiple GP or physician datasets

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.The research reported in this paper is a project of the Australian Primary Health Care Research Institute at the Australian National University, which is supported by a grant from the Australian Government Department of Health

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

Ladder indices and other topics in random walk

This thesis has as its central thread the study of drift and extremes of a random walk. This is studied in a number of ways - in terms of the number of ladder steps and the expected size of these ladder steps, as well as directly. Many of the results achieved are more general versions of known results (e.g. the generating random variables of random walks are treated in general or in terms of domains of attraction of stable laws rather than as random variables with finite variance)

Improving coordination through information continuity: a framework for translational research

BACKGROUND There is good evidence that coordination can have beneficial impacts on patient care and outcomes but the mechanisms by which coordination is to be achieved are poorly understood and rarely identified in relevant policies. One approach suggests that continuity of information is a key element but research is yet to provide guidance on how to optimise coordination through improving continuity in healthcare settings. DISCUSSION In this paper we report on the development of a conceptual framework of information continuity in care coordination. We drew on evidence from systematic reviews of coordination and empirical studies on information use in integrated care models to develop the framework. It identifies the architecture, processes and scope of practices that evidence suggests is required to support information continuity in a population based approach to care coordination. The framework offers value to policy makers and practitioners as a map that identifies the multi-level elements of an integrated system capable of driving better coordination. Testing of the framework in different settings could aid our understanding of information continuity as a mechanism for linking coordination strategies that operate at different levels of the health system and enable synthesis of findings for informing policy and practice.This study was supported by a grant from the Ian Potter Foundation to the Menzies Centre for Health Policy. The Australian Primary Health Care Research Institute is supported by a grant from the Australian Government Department of Health and Ageing

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

A brief report on Primary Care Service Area catchment geographies in New South Wales Australia

BACKGROUND To develop a method to use survey data to establish catchment areas of primary care or Primary Care Service Areas. Primary Care Service Areas are small areas, the majority of patients resident in which obtain their primary care services from within the geography. METHODS The data are from a large health survey (n =267,153, year 2006-2009) linked to General Practitioner service use data (year 2002-2010) from New South Wales, Australia. Our methods broadly follow those used previously by researchers in the United States of America and Switzerland, with significant modifications to improve robustness. This algorithm allocates post code areas to Primary Care Service Areas that receive the plurality of patient visits from the post code area. RESULTS Consistent with international findings the median Localization Index or the median percentage of patients that obtain their primary care from within a Primary Care Service Area is 55% with localization increasing with rurality. CONCLUSIONS With the additional methodological refinements in this study, Australian Primary Care Service Areas have great potential to be of value to policymakers and researchers

The Health of Senior Australians and the Out-of-Pocket Healthcare Costs They Face

This report, authored by researchers from the Australian National University, sought to examine the prevalence of chronic conditions among mature age people and how this relates to burdensome out-of-pocket health care costs. Results show that 570,000 people aged 55 years and over spend more than 10% of their income on health and about 250,000 spend over 20%