Under or over? General practitioner charging of Medicare.

BACKGROUND AND OBJECTIVES: In 2022, media reports alleged that doctors, particularly general practitioners (GPs), are defrauding Medicare, claiming $8 billion lost through fraud/non-compliance. This study examined Medicare Benefits Schedule billing patterns by consultation length to estimate overcharging or undercharging by GPs, and the cost/savings to Medicare. METHOD: A subset of data from the Bettering the Evaluation And Care of Health (BEACH) program from 2013 to 2016, which included length of consultation information, was analysed. RESULTS: Of 89,765 consultations, GPs undercharged 11.8% of consultations and overcharged 1.6%. Of the 2760 GPs sampled, 816 (29.6%) overcharged at least once and 2334 (84.6%) undercharged at least once. Of the GPs who overcharged at least once, 85.4% also undercharged. The total effect of GP undercharging and overcharging was a net saving of $351.7 million to Medicare. DISCUSSION: This study shows that GPs undercharging and overcharging saved Medicare over one-third of a billion dollars in 2021-22. The findings of this study do not support the media claims of widespread fraud by GPs.

Changes in hyperglycaemia-related testing for prediabetes and type 2 diabetes mellitus management: a prospective, cross-sectional survey of 16 years of general practice data from Australia.

BACKGROUND: The rising prevalence of prediabetes increases the population risk of type 2 diabetes mellitus (T2DM), metabolic syndrome and cardiovascular disease. Early identification by General Practitioners (GPs) provides opportunities for lifestyle modifications that can lower these risks. METHODS: This study examined 16 years of hyperglycaemia-related testing for patients in Australia aged 13 years or older with, or at risk of a diagnosis of T2DM. The Bettering the Evaluation and Care of Health (BEACH) study is a national cross-sectional survey, with a single-stage, cluster sampling design. Approximately 1,000 GPs were randomly selected annually (2000/01-20,015/16) from across Australia, who each recorded details of 100 consecutive clinical encounters with consenting patients. Point estimates were adjusted for intracluster correlation and GP characteristics. RESULTS: Fifteen thousand six hundred seventy nine GPs recorded details of 1,387,190 clinical encounters with patients aged 13 + years. Prediabetes and T2DM were managed at 0.25% (95% CI: 0.24-0.27%) and 3.68% (95% CI: 3.62-3.73%) of encounters respectively. By the end of the study, the proportion of encounters where prediabetes was managed was 2.3 times higher and for T2DM, 1.5 times higher. The proportion of prediabetes (55.9%, 95% CI: 53.9-57.8%) and T2DM (27.3%, 95% CI: 26.7-27.9%) management occasions where one or more hyperglycaemia-related tests were requested were relatively stable. However, differences in the types of tests were observed. For prediabetes, glucose tolerance tests were most common but from 2014/15, requests for HbA1c tests began to increase. For T2DM, HbA1c tests were most common, and requests for one or more glucose tests gradually declined. CONCLUSION: The observed 16-year annual trends align with the rising incidence of prediabetes and T2DM. GPs appeared to be strongly influenced by changes to the national insurance scheme and clinical guidelines for hyperglycaemia-related pathology testing. However, some GPs may have been pre-empting policy changes as there was also evidence of 'unendorsed' testing, notably for prediabetes, that warrants further investigation. The increasing proportion of encounters for prediabetes, coupled with a high proportion of management occasions where pathology was requested have substantial resource implications. Calls to lower the risk threshold for prediabetes screening therefore warrant an economic analysis. Ongoing, reliable, up-to-date data is needed to inform clinical practice guidelines and policy in Australia.

General Practice Statistics in Australia: Pushing a Round Peg into a Square Hole.

In Australia, general practice forms a core part of the health system, with general practitioners (GPs) having a gatekeeper role for patients to receive care from other health services. GPs manage the care of patients across their lifespan and have roles in preventive health care, chronic condition management, multimorbidity and population health. Most people in Australia see a GP once in any given year. Draft reforms have been released by the Australian Government that may change the model of general practice currently implemented in Australia. In order to quantify the impact and effectiveness of any implemented reforms in the future, reliable and valid data about general practice clinical activity over time, will be needed. In this context, this commentary outlines the historical and current approaches used to obtain general practice statistics in Australia and highlights the benefits and limitations of these approaches. The role of data generated from GP electronic health record extractions is discussed. A methodology to generate high quality statistics from Australian general practice in the future is presented.

Management of heavy menstrual bleeding in Australian general practice: An analysis of BEACH data.

BACKGROUND AND OBJECTIVES: The 'Heavy menstrual bleeding (HMB) clinical care standard' was released in October 2017. The aim of this study was to determine the rate and management of HMB by Australian general practitioners (GPs) prior to release of the Standard. METHOD: Data collected between April 2000 to March 2016 (inclusive) in the Bettering the Evaluation and Care of Health program were analysed for HMB management. RESULTS: The rate at which GPs managed HMB increased over the study period. The combined oral contraceptive pill was the most frequently prescribed treatment, except among women aged 45-54 years. There were low prescribing/insertion rates of the levonorgestrel intrauterine system (LNG-IUS) for women aged 25-54 years, and none for patients aged 12-24 years. DISCUSSION: Improved understanding of patient and GP perspectives, and further education and training, could increase use of the LNG-IUS and other pharmaceutical treatments where appropriate, as recommended by the HMB clinical care standard.

Management of people with venous leg ulcers by Australian general practitioners: An analysis of the national patient-encounter data.

Venous Leg Ulcers cost Australia's healthcare system millions yearly, as they are underdiagnosed, and possibly undertreated. Most Venous Leg Ulcers are seen in general practice. However, it is currently unknown as to what treatment actions are most common in these contexts. Understanding how they are managed in these settings can improve healthcare delivery and patient outcomes. Using cross-sectional general practitioner patient encounter data collected April 2006 to March 2016 from the Bettering the Evaluation and Care of Health program, a continuous national study of general practice clinical activity in Australia, we aimed to describe the characteristics of venous leg ulcer management by general practitioners in Australia. Among the 972 100 general practitioner-patient encounters recorded, 3604 (0.34%) involved management of VLU. Male general practitioners managed Venous Leg Ulcers significantly more often than female general practitioners. Most Venous Leg Ulcers were treated via dressings (76%) and/or pharmacological treatments (25.7%), with few patients receiving the best practice treatment of medical compression (2.1%) or referral (4.9%). Patients with new (first visit) Venous Leg Ulcers were more likely to receive pharmacological treatments and to be referred elsewhere, and less likely to receive dressings than patients receiving follow-up care. There appears to be a large gap between best practice guidelines and actual Venous Leg Ulcers treatments, as referrals and appropriate treatment was low. Further longitudinal studies are needed to determine the effectiveness of care for people with Venous Leg Ulcers who are managed by general practitioners.

GP services in Australia: presentation profiles during usual practice hours and after-hours periods.

After-hours general practitioner (GP) services can reduce emergency department demand, which is currently increasing in Australia. Understanding GP after-hours care may assist in service planning. From April 2014 to March 2015, 986 GPs recorded 38275 consultations with start and finish times in the Bettering the Evaluation and Care of Health (BEACH) study, a national, cross-sectional, representative study of GP activity. GP and patient characteristics and the content of encounters in usual-hours and after-hours were compared. Significantly more after-hours than usual-hours encounters were with: GPs aged 60+ years; in metropolitan practices; and practices with 10+ GPs. Patients seen after-hours were more often: male; aged 15-64 years; new to practice; and less likely to hold a Commonwealth Concession Card. They were more likely to be prescribed antibiotics and less likely to: have chronic problems managed; be referred; receive psycholeptic or psychoanaleptic prescription; and undergo a procedure. Throat symptoms, fever and injury were more common reasons for encounter, while infections and injury were more frequently managed problems after-hours. The patient mix, GP characteristics, problems managed and management actions in after-hours care differ from those in usual-hours care in Australia. This greater understanding of after-hours care is the first step to informed resource allocation to improve the delivery of after-hours primary care.

General practice management of rotator cuff related shoulder pain: A reliance on ultrasound and injection guided care.

OBJECTIVE: To describe general practitioner's (GP's) current management of rotator cuff related shoulder pain (RCRP) in Australia and identify if this is consistent with recommended care and best available evidence. The secondary aim was to determine if GP management of RCRP changed over time. METHODS: Data about management of RCRP by Australian GPs was extracted from the Bettering the Evaluation of Care of Health program database over its final five years (April 2011-March 2016). Patient and GP characteristics and encounter management data were extracted. Results are reported using descriptive statistics with point estimates and 95% confidence intervals. A secondary analysis over a 16 year period (2000-2016) examined management data for RCRP in four year periods. RESULTS: RCRP was the most common shoulder condition managed by GPs at 5.12 per 1,000 encounters; and at an estimated 732,000 times nationally in 2015-2016. Management rate was higher among male patients (5.5 per 1000 encounters c.f. 4.8 for female patients) and was highest in the 45-64 year old age group (8.6 per 1000). RCRP was most frequently managed with medications (54.7%), steroid injection (19.5%) followed by non-steroidal anti-inflammatory drugs (NSAIDs) (19.1%). Imaging was ordered for 43.4% (ultrasound 41.2% and x-ray 11.6%) of all RCRP presentations (new and returning). Over half (53.0%) of new RCRP presentations were referred for ultrasound imaging. In the 16 year period 2000-16 ultrasound imaging more than doubled from 19.1% to 41.9% of management occasions. In parallel, prescribed steroid injection increased from 9.8% to 19.7%. CONCLUSION: The usual care provided by GPs for RCRP relies on the use of ultrasound and steroid injection. This is not consistent with recommended care and clinical guidelines that recommend these are delayed until after 6-12 weeks of NSAID medication, exercise and activity modification. There has been a significant increase in the rate of steroid injection and ultrasound imaging, which may be due in part to policy change.

Management of Hallux Valgus in General Practice in Australia.

OBJECTIVE: To describe the management of hallux valgus by general practitioners (GPs) in Australia. METHODS: We analyzed data from the Bettering the Evaluation and Care of Health program from April 2000 to March 2016. Patient and GP encounter characteristics were extracted. Hallux valgus encounters were identified using the International Classification of Primary Care, Version 2 Plus terms hallux valgus and bunion. Data were summarized using descriptive statistics and 95% confidence intervals around point estimates. RESULTS: The data set included 1,568,100 patient-encounter records among which hallux valgus was managed 658 times (4.2 management occasions per 10,000 encounters). This management rate extrapolates to an estimated 60,000 GP-patient encounters across Australia in the most recent year data were available (from 2015 to 2016). The management rate was 3 times higher in female compared to male patients and was most frequent among patients ages 45-64 years. Hallux valgus was most frequently managed by referral to orthopedic surgeons (28 per 100 management occasions), counseling or advice (25 per 100), and referral to podiatrists (16 per 100). Pharmacologic management was also frequently used (20 per 100) and primarily involved prescription of nonsteroidal antiinflammatory drugs (7 per 100). CONCLUSION: Hallux valgus is a commonly encountered problem in Australian general practice and is mostly managed by provision of advice and referral to orthopedic surgeons and podiatrists. Further research is required to examine the factors that influence the selection of surgical and nonsurgical treatment pathways by GPs and their comparative effectiveness.

Adequacy of Australia's GP workforce: estimating supply and demand, 2005-06 to 2015-16.

Objective A 2011 Australian study calculated average annual general practitioner (GP) utilisation and predicted numbers required to meet demand to 2020. The objective of the present study is to calculate average annual GP utilisation in 2015-16 compared with clinical demand predicted in 2005-06. Methods Demand was calculated from Medicare Benefits Schedule, Department of Veterans' Affairs and Australian Bureau of Statistics data. Length of consultation and average clinical hours worked per week (from 2002-03 to 2015-16) was drawn from GP self-reported data collected through the Bettering the Evaluation And Care of Health (BEACH) program. GP workforce numbers were sourced from the Australian Institute of Health and Welfare 'Medical practitioners workforce 2015' report. Results Predicted demand from 2005-06 to 2009-10 approximated GP supply. Beyond 2011, approximately 2674 additional GPs were required in 2015-16 to maintain the average annual 2005-06 GP workload. An additional 5941 GPs were required to meet the increase in clinical demand (for GP services to patients) from 2005-06 to 2015-16. Conclusions The number of GP clinical hours worked decreased, and clinical demand increased. Ongoing efforts are required to ensure the supply of GPs to meet the clinical demand of Australia's aging population. What is known about this topic? For the past three decades there has been concern about the supply of GPs in Australia. In recent years the Australian Government has taken several steps to improve access to GP services by increasing the overall supply of GPs and encouraging a more even distribution of GPs across Australia. A 2011 Australian study calculated average annual GP service utilisation and predicted the number of GPs required to meet clinical demand to 2020. There are current concerns that the GP workforce has reached a state of oversupply. What does this paper add? This study concludes that the GP workforce is not in a state of oversupply, confirming that patient clinical demand increased through both population growth and the aging of the population. Although the number of GPs increased, the number of clinical hours worked by (male) GPs decreased. Therefore, the rise in the number of GPs did not result in a proportional rise in GP workforce capacity. Clearly standardised definitions and inclusions for counting the GP workforce would improve accuracy in measuring this section of the health workforce. What are the implications for practitioners? GP workforce supply will require ongoing monitoring over coming years considering the increasing population, the aging of the population, declining clinical GP working hours and the approaching mass retirement of older GPs.

Infertility management in women and men attending primary care-patient characteristics, management actions and referrals.

STUDY QUESTION: How did general practitioners (GPs) (family physicians) manage infertility in females and males in primary care between 2000 and 2016? SUMMARY ANSWER: The number of GP infertility consultations for females increased 1.6 folds during the study period, with 42.9% of consultations resulting in a referral to a fertility clinic or specialist, compared to a 3-fold increase in the number of consultations for men, with 21.5% of consultations resulting in a referral. WHAT IS KNOWN ALREADY: Infertility affects one in six couples and is expected to increase with the trend to later childbearing and reports of declining sperm counts. Despite GPs often being the first contact for infertile people, very limited information is available on the management of infertility in primary care. STUDY DESIGN, SIZE, DURATION: Data from the Bettering the Evaluation and Care of Health programme were used, which is a national study of Australian primary care (general practice) clinical activity based on 1000 ever-changing, randomly selected GPs involved in 100 000 GP-patient consultations per year between 2000 and 2016. PARTICIPANTS/MATERIALS, SETTING, METHODS: Females and males aged 18-49 years attending GPs for the management of infertility were included in the study. Details recorded by GPs included patient characteristics, problems managed and management actions (including counselling/education, imaging, pathology, medications and referrals to specialists and fertility clinics). Analyses included trends in the rates of infertility consultations by sex of patient, descriptive and univariate analyses of patient characteristics and management actions and multivariate logistic regression to determine which patient and GP characteristics were independently associated with increased rates of infertility management and referrals. MAIN RESULTS AND THE ROLE OF CHANCE: The rate of infertility consultations per capita increased 1.6 folds for women (17.7-28.3 per 1000 women aged 18-49 years) and 3 folds for men over the time period (3.4-10.2 per 1000 men aged 18-49 years). Referral to a fertility clinic or relevant specialist occurred in 42.9% of female infertility consultations and 21.5% of male infertility consultations. After controlling for age and other patient characteristics, being aged in their 30s, not having income assistance, attending primary care in later years of the study and coming from a non-English-speaking background, were associated with an increased likelihood of infertility being managed in primary care. In female patients, holding a Commonwealth concession card (indicating low income), living in a remote area and having a female GP all indicated a lower adjusted odds of referral to a fertility clinic or specialist. LIMITATIONS, REASONS FOR CAUTION: Data are lacking for the period of infertility and infertility diagnosis, which would provide a more complete picture of the epidemiology of treatment-seeking behaviour for infertility. Australia's universal insurance scheme provides residents with access to a GP, and therefore these findings may not be generalizable to other settings. WIDER IMPLICATIONS OF THE FINDINGS: This study informs public policy on how infertility is managed in primary care in different patient groups. Whether the management actions taken and rates of secondary referral to a fertility clinic or specialist are appropriate warrants further investigation. The development of clinical practice guidelines for the management of infertility would provide a standardized approach to advice, investigations, treatment and referral pathways in primary care. STUDY FUNDING/COMPETING INTEREST(S): This paper is part of a study being funded by an Australian National Health and Medical Research Council project grant APP1104543. G.C. reports that she is an employee of The University of New South Wales (UNSW) and Director of the National Perinatal Epidemiology and Statistics Unit (NPESU), UNSW. The NPESU manages the Australian and New Zealand Assisted Reproductive Technology Database on behalf of the Fertility Society of Australia. W.L. reports being a part-time paid employee and minor shareholder of Virtus Health, a fertility company. R.N. reports being a small unitholder in a fertility company, receiving grants for research from Merck and Ferring and speaker travel grants from Merck. TRIAL REGISTRATION NUMBER: NA.

Predicting patient use of general practice services in Australia: models developed using national cross-sectional survey data.

BACKGROUND: The ageing population and increasing prevalence of multimorbidity place greater resource demands on the health systems internationally. Accurate prediction of general practice (GP) services is important for health workforce planning. The aim of this research was to develop a parsimonious model that predicts patient visit rates to general practice. METHODS: Between 2012 and 2016, 1449 randomly selected Australian GPs recorded GP-patient encounter details for 43,501 patients in sub-studies of the Bettering the Evaluation and Care of Health (BEACH) program. Details included patient characteristics, all diagnosed chronic conditions per patient and the number of GP visits for each patient in previous 12 months. BEACH has a single stage cluster design. Survey procedures in SAS version 9.3 (SAS Inc., Cary, NC, USA) were used to account for the effect of this clustering. Models predicting patient GP visit rates were tested. R-square value was used to measure how well each model predicts GP attendance. An adjusted R-square was calculated for all models with more than one explanatory variable. Statistically insignificant variables were removed through backwards elimination. Due to the large sample size, p < 0.01 rather than p < 0.05 was used as level of significance. RESULTS: Number of diagnosed chronic conditions alone accounted for 25.48% of variance (R-square) in number of visits in previous year. The final parsimonious model accounted for 27.58% of variance and estimated that each year: female patients had 0.52 more visits; Commonwealth Concessional Health Care Card holders had 1.06 more visits; for each chronic condition patients made 1.06 more visits; and visit rate initially decreased with age before increasing exponentially. CONCLUSIONS: Number of diagnosed chronic conditions was the best individual predictor of the number of GP visits. Adding patient age, sex and concession card status explained significantly more variance. This model will assist health care planning by providing an accurate prediction of patient use of GP services.

General practitioner referrals to exercise physiologists during routine practice: A prospective study.

OBJECTIVES: Physical activity is essential in the primary and secondary prevention of several chronic diseases and should be a standard component of clinical care. The aims of this study were to examine the trends and characteristics of referrals to exercise physiologists in routine care in a nationally representative sample of general practitioners (GPs) in Australia. DESIGN: This prospective study was an analysis of Bettering the Evaluation and Care of Health (BEACH) GP data from April 2009 to March 2016. METHODS: In total, each of 6827 randomly sampled GPs recorded details of 100 consecutive encounters (N=682,700). The rate of exercise physiologist referrals was calculated by patient and GP characteristics. RESULTS: Over the study period, the rate at which GPs referred their patients significantly increased from 0.38 to 1.44 per 1000 encounters. Patients aged 45-64 years were most likely to be referred (1.32 per 1000 encounters). Patients from non-English-speaking backgrounds were referred at less than half the rate (0.41 per 1000) of those from English speaking backgrounds (0.96). Female GPs referred patients (1.27 per 1000 encounters) twice as often as male GPs (0.64). One-third (35.3%) of GP referrals were made for problems relating to the endocrine, nutritional and metabolic systems (e.g., obesity, diabetes mellitus); only 1.6% of referrals were made for mental health conditions. CONCLUSIONS: Although increasing, the rate of GP referral to exercise physiologists was low and associated with patient and GP characteristics. Education of GPs about the role of exercise physiologists in the prevention and management of chronic disease is needed.

Primary care for people with an intellectual disability - what is prescribed? An analysis of medication recommendations from the BEACH dataset.

BACKGROUND: People with intellectual disability (ID) experience a range of health disparities. Little is known about differential primary care prescribing patterns for people with and without ID. AIM: To compare medications recommended by GPs at encounters where ID is recorded versus other encounters. DESIGN & SETTING: Analysis of national Australian GP medication data from the Bettering the Evaluation and Care of Health (BEACH) programme, January 2003-December 2012 inclusive. METHOD: Medication recommendations made at encounters where an ID-defining problem was recorded as a reason for encounter (RFE) and/or as a problem managed, were allocated to the 'ID group' (n = 563). These encounters were compared with all other encounters (the 'non-ID group', n = 1 004 095) during the study period. Following age-sex standardisation of ID group encounters, significant differences were determined by non-overlapping 95% confidence intervals (CIs). RESULTS: Antipsychotics and anticonvulsants were recommended more frequently at ID group encounters than at non-ID group encounters. Antidepressant and anxiolytic recommendation rates did not differ between groups. Narcotic analgesic and antihypertensive recommendations were significantly lower at ID group encounters. CONCLUSION: Higher rates of epilepsy and mental illness, and off-label use of some antipsychotics and anticonvulsants for behaviour management in people with ID, may have contributed to medication recommendations observed in this analysis. Lower narcotic analgesic recommendations at ID group encounters may relate to complex presentations and the nature of problems managed, while lower antihypertensive recommendations may indicate some potential omission of routine blood pressure measurement.

The likelihood of general practitioners referring patients to physiotherapists is low for some health problems: secondary analysis of the Bettering the Evaluation and Care of Health (BEACH) observational study.

QUESTIONS: Which health problems do medical general practitioners (GPs) most commonly refer to physiotherapists? What is the likelihood of GPs referring patients for specific health problems? DESIGN: Secondary analysis of data from the Bettering the Evaluation and Care of Health (BEACH) study, which is a national observational study of Australian general practice clinical activity. PARTICIPANTS: People at GP encounters between April 2010 and March 2015. OUTCOME MEASURES: The outcomes were the proportion of all (new) health problems that were referred to a physiotherapist, the distribution of health problems referred to physiotherapists, and the likelihood of referral of (all and new) specific health problems to physiotherapists. RESULTS: There were 6904 referrals to a physiotherapist from 775893 GP encounters, which equated to 0.89% (95% CI 0.86 to 0.92). Among the 286858 new health problems, 2987 were referred to a physiotherapist (1.04%, 95% CI 0.99 to 1.09). The health problems that were most commonly referred were back complaints (18.6%), sprains (10.3%) and osteoarthritis (8.6%). However, when these three problems presented as a new health problem, the likelihood of referral was low (14.4, 11.9 and 5.4%, respectively). The new health problems most likely to result in a referral were acquired deformity of the spine (which includes kyphoscoliosis, kyphosis, lordosis and scoliosis) (17.7%, 95% CI 8.2 to 27.2) and neck complaints (17.4%, 95% CI 14.3 to 20.6). CONCLUSIONS: Most referrals made to physiotherapists were for musculoskeletal problems. However, even among the most commonly referred problems (such as back complaints and osteoarthritis), the likelihood of referral was low when they presented as a new problem. There is an opportunity to increase referrals from general practice to physiotherapy for many common conditions with effective physiotherapy interventions. [Dennis S, Watts I, Pan Y, Britt H (2018) The likelihood of general practitioners referring patients to physiotherapists is low for some health problems: secondary analysis of the Bettering the Evaluation and Care of Health (BEACH) observational study. Journal of Physiotherapy 64: 177-181].

What are chronic conditions that contribute to multimorbidity?

BACKGROUND: There is currently no accepted standard definition for chronic conditions. OBJECTIVE: The objective of this article is to provide an overview of the characteristics that define health conditions as chronic. DISCUSSION: A list of health conditions classified as chronic should be made available to all general practitioners and policymakers in Australia. This will assist in the claims process for chronic disease management and aid the selection of patients for healthcare home enrolment. Based on assessment of the usual duration, prognosis, sequelae and pattern of recurrence or deterioration, a defined list of chronic conditions classified according to the International Classification of Primary Care, version 2 (ICPC-2) is available for consideration.

Correction: Management of vertebral compression fracture in general practice: BEACH program.

[This corrects the article DOI: 10.1371/journal.pone.0176351.].

Administrative encounters in general practice: low value or hidden value care?

OBJECTIVE: To determine the frequency of general practice administrative encounters, and to determine whether they represent low value care. DESIGN: Secondary analysis of data from the Bettering Evaluation and Care of Health (BEACH) dataset. SETTING: 1 568 100 GP-patient encounters in Australia, 2000-01 to 2015-16. PARTICIPANTS: An annual nationally representative random sample of about 1000 GPs, who each recorded the details of 100 consecutive encounters with patients. MAIN OUTCOME MEASURES: Proportions of general practice encounters that were potentially low value care encounters (among the patient's reasons for the encounter was at least one administrative, medication, or referral request) and potentially low value care only encounters (such reasons were the sole reason for the encounter). For 2015-16, we also examined other health care provided by GPs at these encounters. RESULTS: During 2015-16, 18.5% (95% CI, 17.7-19.3%) of 97 398 GP-patient encounters were potentially low value care request encounters; 7.4% (95% CI, 7.0-7.9%) were potentially low value care only encounters. Administrative work was requested at 3.8% (95% CI, 3.5-4.0%) of GP visits, 35.4% of which were for care planning and coordination, 33.5% for certification, and 31.2% for other reasons. Medication requests were made at 13.1% (95% CI, 12.4-13.7%) of encounters; other health care was provided at 57.9% of medication request encounters, counselling, advice or education at 23.4%, and pathology testing was ordered at 16.7%. Referrals were requested at 2.8% (95% CI, 1.7-3.0%) of visits, at 69.4% of which additional health care was provided. The problems managed most frequently at potentially low value care only encounters were chronic diseases. CONCLUSION: Most patients requested certificates, medications and referrals in the context of seeking help for other health needs. Additional health care, particularly for chronic diseases, was provided at most GP administrative encounters. The MBS Review should consider the hidden value of these encounters.

Problems managed and medications prescribed during encounters with people with autism spectrum disorder in Australian general practice.

Autism spectrum disorder is associated with high rates of co-occurring health conditions. While elevated prescription rates of psychotropic medications have been reported in the United Kingdom and the United States, there is a paucity of research investigating clinical and prescribing practices in Australia. This study describes the problems managed and medications prescribed by general practitioners in Australia during encounters where an autism spectrum disorder was recorded. Information was collected from 2000 to 2014 as part of the Bettering the Evaluation and Care of Health programme. Encounters where patients were aged less than 25 years and autism spectrum disorder was recorded as one of the reasons for encounter and/or problems managed ( n = 579) were compared to all other Bettering the Evaluation and Care of Health programme encounters with patients aged less than 25 years ( n = 281,473). At 'autism spectrum disorder' encounters, there was a significantly higher management rate of psychological problems, and significantly lower management rates of skin, respiratory and general/unspecified problems, than at 'non-autism spectrum disorder' encounters. The rate of psychological medication prescription was significantly higher at 'autism spectrum disorder' encounters than at 'non-autism spectrum disorder' encounters. The most common medications prescribed at 'autism spectrum disorder' encounters were antipsychotics and antidepressants. Primary healthcare providers need adequate support and training to identify and manage physical and mental health concerns among individuals with autism spectrum disorder.

General practice encounters for young patients with autism spectrum disorder in Australia.

This study compared the patient demographics and reasons for encounter in general practice for patients <25 years with and without an autism spectrum disorder identified as a reason for encounter and/or problem managed. The Bettering the Evaluation and Care of Health programme collected information about clinical activities in Australian general practice. Each year, the programme recruited a random sample of 1000 general practitioners, each of whom collected data for 100 consecutive consultations (encounters). Encounters with patients <25 years, where at least one autism spectrum disorder was recorded as a reason for encounter and/or a problem managed (n = 579), were compared with all other encounters (n = 281,473) from April 2000 to March 2014 inclusive. Data were age-sex standardised. Patients at autism spectrum disorder encounters (compared to non-autism spectrum disorder encounters) were more likely to be younger and male. There was a dramatic rise in the number of general practitioner consultations at autism spectrum disorder encounters from 2000 to 2013. More reasons for encounter were recorded at autism spectrum disorder encounters than at non-autism spectrum disorder encounters (156.4 (95% confidence interval: 144.0-168.8) and 140.5 (95% confidence interval: 140.0-141.0), respectively). At autism spectrum disorder (vs non-autism spectrum disorder) encounters, there were more psychological, general and unspecified, and social reasons for encounter and fewer preventive and acute health reasons for encounter. People with an autism spectrum disorder have complex health care needs that require a skilled general practice workforce.

Worsening trends in analgesics recommended for spinal pain in primary care.

PURPOSE: Limited evidence exists on secular trends of analgesics for spinal pain. We investigated general practitioner's (GP) recommendations of analgesic medicines for spinal pain and investigated characteristics associated with their recommendation. METHODS: We accessed data on spinal pain consultations from the Bettering the Evaluation and Care of Health (BEACH) database, a nationally representative database on GP activity in Australia. Data extracted included consultation details and management provided. Medicines recommended were grouped as simple analgesics, non-steroidal anti-inflammatory drugs (NSAIDs), opioid analgesics or neuropathic pain medicines. Multivariate logistic regression determined if patient characteristics and GP characteristics were associated with medication recommendations. RESULTS: We analysed BEACH data for 9100 GPs who managed 39,303 patients with spinal pain between 2004 and 2014. Over the decade, analgesic recommendations increased. After accounting for patient and GP characteristics, there was a significant increase in the rate single-ingredient opioid analgesics [annual relative increase of 6% (RR 1.06 (95% CI 1.05-1.07), P < 0.001)] and neuropathic pain medicines [annual relative increase of 19% (RR 1.19 (95% CI 1.16-1.22), P < 0.001)] were recommended; and a significant decrease in the rate NSAIDs were recommended [annual relative decrease of 4% (RR 0.96 (95% CI 0.95-0.97), P < 0.001)]. Logistic regression identified several patient and GP characteristics associated with medicine recommendations, e.g. stronger opioids were less likely recommended for Indigenous patients [odds ratio 0.15 (95% CI 0.04-0.56)]. CONCLUSIONS: GP's analgesic recommendations for spinal pain have become increasingly divergent from guideline recommendations over time.