Exploratory study of the 'weekend effect' for acute medical admissions to public hospitals in Queensland, Australia.

AIMS: To determine whether in-hospital deaths of patients admitted through emergency departments with acute exacerbations of chronic obstructive pulmonary disease (COPD), acute myocardial infarction, intracerebral haemorrhage and acute hip fracture are increased by weekend versus weekday admission (the 'weekend effect'). METHODS: We performed a retrospective analysis of statewide administrative data from public hospitals in Queensland, Australia, during the 2002/2003-2006/2007 financial years. The primary outcome was 30-day in-hospital mortality. The secondary outcome of 2-day in-hospital mortality helped determine whether increased mortality of weekend admissions was closely linked to weekend medical care. RESULTS: During the study period, there were 30 522 COPD, 17 910 acute myocardial infarction, 4183 acute hip fracture and 1781 intracerebral haemorrhage admissions. There was no significant weekend effect on 30-day in-hospital mortality for COPD (adjusted risk ratio = 0.92, 95% CI: 0.81-1.04, P= 0.222), intracerebral haemorrhage (adjusted risk ratio = 1.01, 95% CI: 0.86-1.16, P= 0.935) or acute hip fracture (adjusted risk ratio = 0.78, 95% CI: 0.54-1.03, P= 0.13). There was a significant weekend effect for acute myocardial infarction (adjusted risk ratio = 1.15, 95% CI: 1.03-1.26, P= 0.007). Two-day in-hospital mortality showed similar results. CONCLUSION: This is the first Australian study on the 'weekend effect' (in a cohort other than neonates), and the first study worldwide to assess specifically the weekend effect among COPD patients. Observed patterns were consistent with overseas research. There was a significant weekend effect for myocardial infarction. Further research is needed to determine whether location (e.g. rural), clinical (e.g. disease severity) and service provision factors (e.g. access to invasive procedures) influence the weekend effect for acute medical conditions in Australia.

Assessment of ambulance dispatch data for surveillance of influenza-like illness in Melbourne, Australia.

OBJECTIVES: Ambulance dispatch data are collated electronically in many jurisdictions and have a wide reach into the community. They may therefore be useful for syndromic surveillance and early recognition of emerging infectious diseases. This study assessed whether ambulance dispatch data are suitable for influenza surveillance. STUDY DESIGN: Comparison of a time series of ambulance dispatch data from Melbourne, Australia for the years 1997-2005 with locum service and general practice (GP) sentinel surveillance data for influenza-like illness (ILI). METHODS: All data were aggregated into 1-week periods, corresponding to the data collection period used in the GP sentinel surveillance system, which was used as the reference system. Rates of ambulance dispatches classified to respiratory or breathing problems per 1000 total dispatches were compared with rates of callouts for flu or influenza per 1000 locum calls, and rates of ILI per 1000 patients from the sentinel GPs. Signals from the ambulance data were generated using the log likelihood ratio CUSUM, a method of continuous monitoring suitable for surveillance. RESULTS: The ambulance dispatch data displayed seasonal trends that were similar to those observed in locum service surveillance and GP sentinel systems, and identified the years with higher-than-expected seasonal ILI activity (1998 and 2003) and the epidemic year (1997). However, there was a high baseline rate of ambulance calls classified to respiratory or breathing problems (90-100 per 1000 calls) in months where there was minimal influenza activity. CONCLUSION: Ambulance dispatch data have potential for syndromic surveillance, but because of the high background noise are not definitive and would need to be calibrated to suit particular local circumstances.

Association of diabetes with survival among cohorts of Indigenous and non-Indigenous Australians with cancer.

BACKGROUND: The association between diabetes and cancer incidence has been well documented, but relatively little research has been undertaken on the potential influence of diabetes on cancer survival and the research that is available has produced inconsistent results. Because Indigenous Australians have a high prevalence of diabetes, we assessed survival, stratified by diabetes, among Indigenous Australian cancer patients. We also assessed survival, stratified by diabetes, amongst a cohort of non-Indigenous Australian cancer patients. METHODS: All-cause survival and cancer-specific survival in diabetic versus non-diabetic cancer patients were assessed in Indigenous and non-Indigenous cohorts separately, using proportional hazards models. FINDINGS: Indigenous cancer patients with diabetes (n = 140) had an overall survival disadvantage compared to Indigenous cancer patients without diabetes (n = 675) with all-cause Hazard Ratio (HR) = 1.4 (95% CI 1.1-1.8) adjusted for age, sex, and cancer site. After further adjustment to take into account the greater number of non-cancer deaths and co-morbidities in Indigenous cancer patients with diabetes, and their later stage at cancer diagnosis with less cancer treatment, there was no residual difference in cancer-specific survival compared to Indigenous cancer patients without diabetes (cancer-specific HR = 1.0, 95% CI 0.8, 1.3). Fewer non-Indigenous cancer patients had diabetes (n = 52) and they showed no differences in survival compared to their counterparts without diabetes. INTERPRETATION: The poorer survival of Indigenous Australian cancer patients with diabetes was due to more non-cancer deaths, later stage at cancer diagnosis, less cancer treatment, and more co-morbidities than Indigenous Australian cancer patients without diabetes. In contrast, diabetes did not appear to affect survival in non-Indigenous Australians with cancer, either because there were too few to detect a moderate deleterious effect or because there was no association. Understanding the relation between diabetes and cancer treatment and survival is important because both diabetes and cancer are relatively common diseases, increasingly likely to co-exist.

International trends in prostate-cancer mortality: the decrease is continuing and spreading.

OBJECTIVE: To measure recent changes in prostate-cancer mortality across 24 developed countries. METHODS: Mortality data for men aged 50-79 years were obtained from the World Health Organisation mortality database and we assessed trends in age-standardised mortality rates using joinpoint regression models. RESULTS: Significant reductions in prostate-cancer mortality were observed in United Kingdom, United States, Austria, Canada, Italy, France, Germany, Australia and Spain, and downward trends were also observable in the Netherlands, Ireland and Sweden. CONCLUSIONS: Mortality declines for prostate cancer are now evident in 12 out of the 24 developed countries considered in this analysis. Increases in PSA screening and better treatment of early-stage disease, possibly acting in combination, remain plausible hypotheses.

The effects of quality improvement interventions on inhospital mortality after acute myocardial infarction.

OBJECTIVE: To evaluate the effects of quality improvement interventions on inhospital mortality after admission for acute myocardial infarction (AMI). DESIGN: Before-and-after study (with concurrent controls) based on hospital discharge data from a routinely maintained, administrative database. SETTING: All Queensland public hospitals, July 1991 - June 1999. STUDY POPULATION: Patients with AMI admitted through the emergency department. INTERVENTION: Development and promulgation of clinical practice guidelines at one hospital, combined with regular audit and feedback, commencing November 1995. MAIN OUTCOME MEASURES: Inhospital mortality (adjusted for age, sex and comorbidities) for four-year periods before (1991-92 to 1994-95) and after (1995-96 to 1998-99) initiation of quality improvement interventions. RESULTS: Before the intervention, the adjusted odds ratio (OR) for inhospital death at the intervention hospital was about the same as at other public hospitals (adjusted OR, 0.99; 95% CI, 0.80-1.24), but was more than 40% lower after the intervention (adjusted OR, 0.59; 95% Cl, 0.45-0.78). After the intervention, the risk of death at the intervention hospital was lower compared with hospitals with cardiologists as admitting practitioners (adjusted OR, 0.63; 95% CI, 0.48-0.83), with onsite revascularisation facilities (adjusted OR, 0.66; 95% CI, 0.49-0.88), and with large numbers (> or = 250 per year) of annual admissions of patients with AMI (adjusted OR, 0.72; 95% CI, 0.54-0.97). CONCLUSIONS: Quality improvement interventions lower the risk of inhospital death in patients with AMI. Implementation of such interventions in all hospitals may confer a risk of death lower than that achieved by admitting all patients under the care of cardiologists, or to hospitals with revascularisation facilities or a high volume of admissions of patients with AMI.