Stephanie Knox

The spectrum and management of otitis media in Australian indigenous and nonindigenous children: a national study.

Background: Indigenous children have the highest reported prevalence and severity of otitis media in the world, but whether their clinical management varies accordingly is unknown. Methods: Using a representative Australia-wide cluster survey of consecutive primary healthcare consultations, we compared practitioners’ investigation, treatment, and referral practices for otitis media in indigenous and nonindigenous children (0–18 years), after adjusting for clustering. Results: Over 8 years (1998–2006), 7991 practitioners managed 141,693 problems during 119,503 consultations with children, including 2856 (2%) with indigenous children. Ear problems were the fourth most common problems managed overall, with otitis media seen more commonly in indigenous than in nonindigenous children (10% versus 7% consultations, P < 0.001). Indigenous children were significantly more likely to have severe otitis media (chronic and/or suppurative and/or perforation, 8% versus 2%, P < 0.001); discharging ears (4% versus 0.1%, P < 0.001); ear swabs [4%, 95% confidence interval (CI): 2%–6% versus 0.8%, 95% CI: 0.6%–0.9%]; and topical eardrops administered (11%, 95% CI: 7%–15% versus 5%, 95% CI: 4%–5%); but not more likely to receive oral antibiotics (72% versus 76%); have ear syringing (1% versus 0.2%); be referred to an otolaryngologist (6% versus 3%) or audiologist (2% versus 1%); all P > 0.05. Conclusions: In the Australian primary healthcare setting, indigenous children are 5 times more likely to be diagnosed with severe otitis media than nonindigenous children, but reported management is not substantially different, which is inconsistent with established national guidelines. This spectrum-management discordance may contribute to continued worse outcomes for indigenous children with otitis media.

Observed intra-cluster correlation coefficients in a cluster survey sample of patient encounters in general practice in Australia

BackgroundCluster sample study designs are cost effective, however cluster samples violate the simple random sample assumption of independence of observations. Failure to account for the intra-cluster correlation of observations when sampling through clusters may lead to an under-powered study. Researchers therefore need estimates of intra-cluster correlation for a range of outcomes to calculate sample size. We report intra-cluster correlation coefficients observed within a large-scale cross-sectional study of general practice in Australia, where the general practitioner (GP) was the primary sampling unit and the patient encounter was the unit of inference.MethodsEach year the Bettering the Evaluation and Care of Health (BEACH) study recruits a random sample of approximately 1,000 GPs across Australia. Each GP completes details of 100 consecutive patient encounters. Intra-cluster correlation coefficients were estimated for patient demographics, morbidity managed and treatments received. Intra-cluster correlation coefficients were estimated for descriptive outcomes and for associations between outcomes and predictors and were compared across two independent samples of GPs drawn three years apart.ResultsBetween April 1999 and March 2000, a random sample of 1,047 Australian general practitioners recorded details of 104,700 patient encounters. Intra-cluster correlation coefficients for patient demographics ranged from 0.055 for patient sex to 0.451 for language spoken at home. Intra-cluster correlations for morbidity variables ranged from 0.005 for the management of eye problems to 0.059 for management of psychological problems. Intra-cluster correlation for the association between two variables was smaller than the descriptive intra-cluster correlation of each variable. When compared with the April 2002 to March 2003 sample (1,008 GPs) the estimated intra-cluster correlation coefficients were found to be consistent across samples.ConclusionsThe demonstrated precision and reliability of the estimated intra-cluster correlations indicate that these coefficients will be useful for calculating sample sizes in future general practice surveys that use the GP as the primary sampling unit.

Relationship between general practitioner certification and characteristics of care.

Background:The introduction of mandatory or quasimandatory certification processes for general/family doctors has become common in many countries, including Australia. Whether certification effects the care provided is rarely investigated. Objectives:The objective of this study was to determine whether certification of general/family physicians is associated with clinical performance. Research Design:We conducted a secondary comparative analysis of data from an Australian national cross-sectional survey (April 2000–March 2002). Subjects:Subjects consisted of a random sample of 1982 general practitioners (GPs) Methods:Each participant provided demographic details and information about 100 consecutive patient encounters (total 197,500). We compared characteristics of certified and uncertified general practitioners (GPs), their patients, encounters, problems, management actions, and tested 34 performance indicators. We investigated whether differences identified in descriptive analyses were explained by other factors. Results:Of 1975 GPs who indicated certification status, 659 (33.4%) were vocationally certified. Certificants were more likely to be female, younger, Australian graduates, working fewer sessions, in larger practices, in accredited practices, and using computers for clinical purposes. Their patients were younger, more often female, and less likely to hold a healthcare concession card. Their consultations were longer; they prescribed fewer medications and more clinical treatments and procedures, ordered more pathology tests, and referred more to other health professionals. After adjustment for GP/practice, patient and morbidity differences, certificants had longer consultations, did more therapeutic procedures, prescribed less overall, prescribed fewer nonsteroidal antiinflammatory drugs in the elderly, and fewer antibiotics for upper respiratory infections. Conclusion:Certification of general practitioners has a significant association with consultation behavior and patient management.

The management of alcohol, tobacco and illicit drug use problems by general practitioners in Australia

The aim of this study was to document the frequency of the management of illicit drug, alcohol and tobacco problems in general practice in Australia. Data from the Bettering the Evaluation and Care of Health (BEACH) study of general practice, April 1998 to March 2003, were analysed. BEACH is an ongoing national study of general practice in Australia. Each year a random sample of approximately 1000 general practitioners (GPs) participate, each providing details of 100 patient encounters. Samples are drawn from the Medicare data held by the Health Insurance Commission. Patient demographic breakdowns, medication, other treatment, referrals and other medical procedures ordered were examined for all problems labelled by GPs as illicit, alcohol and tobacco problems. Annually in Australia, it was estimated that 615,000 GP encounters--or 0.6% of all encounters--involved the management of illicit drug use problems presumably most commonly for problematic heroin use. Despite a much higher population prevalence of use and use disorders, the management of alcohol or tobacco use problems was less common, with 0.4% and 0.3% of encounters, respectively, comprising treatment of these problems. Clear demographic differences existed across the groups. The management of problems also differed, with illicit drug use problems more likely to involve provision of medication, and alcohol and tobacco treatment more likely to involve counselling and/or health advice. Despite higher rates of alcohol and tobacco use problems among patients seeing GPs in Australia, the rate of treatment for such problems was relatively lower than it was for illicit drug use problems. More efforts need to be directed towards assisting GPs to identify and target problematic alcohol and tobacco use among their patients.

The demand for surgery: An analysis of referrals from Australian general practitioners

Background:  Optimal planning for surgical training and the surgical workforce requires knowledge of the need and demand for surgical care in the community. This has previously relied on indirect indicators, such as hospital throughput. We aimed to describe referrals from general practitioners (GPs) to surgeons in Australia using a classification of surgical disorders developed especially for primary care settings.