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1.
Anaesth Intensive Care ; 43(4): 461-7, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26099757

ABSTRACT

Prophylaxis for surgical site infection (SSI) is often at variance with guidelines, despite the prevalence of SSI and its associated cost, morbidity, and mortality. The CareTrack Australia study, undertaken by a number of the authors, demonstrated that appropriate care (in line with evidence- or consensus-based guidelines) was provided at 38% of eligible SSI healthcare encounters. Here, we report the indicator-level CareTrack Australia findings for SSI prophylaxis. Indicators were extracted from Australian and international clinical guidelines and ratified by clinical experts. A sample designed to be representative of the Australian population was recruited (n=1154). Participants' medical records were reviewed and analysed for compliance with the five SSI indicators. The main outcome measure was the percentage of eligible healthcare encounters with documented compliance with indicators for appropriate SSI prophylaxis. Of the 35,145 CareTrack Australia encounters, 702 (2%) were eligible for scoring against the SSI indicators. Where antibiotics were recommended, compliance was 49% for contaminated surgery, 57% for clean-contaminated surgery and 85% for surgery involving a prosthesis: these fell to 8%, 10% and 14%, respectively (an average of 11%), when currently recommended timing of antibiotic administration was included. Where antibiotics were not indicated, 72% of patients still received them. SSI prophylaxis in our sample was poor; over two-thirds of patients were given antibiotics, whether indicated or not, mainly at the wrong time. There is a need for national agreement on clinical standards, indicators and tools to guide, document and monitor SSI prophylaxis, with both local and national measures to increase and monitor their uptake.


Subject(s)
Antibiotic Prophylaxis/methods , Antibiotic Prophylaxis/statistics & numerical data , Guideline Adherence/statistics & numerical data , Health Care Surveys/methods , Surgical Wound Infection/prevention & control , Adolescent , Adult , Aged , Australia , Female , Health Care Surveys/statistics & numerical data , Humans , Male , Medical Records , Middle Aged , Young Adult
2.
Osteoporos Int ; 20(2): 221-9, 2009 Feb.
Article in English | MEDLINE | ID: mdl-18536952

ABSTRACT

UNLABELLED: Survival after hospitalisation for hip fracture by age group and sex relative to survival in the general population was assessed in people aged 65+. Men had double the risk of death compared with women to 1 year, but age effects lasted only to 3 months. Clinical outcomes need to be improved. INTRODUCTION: We assessed the relative survival of hospitalised fall-related hip fracture patients aged 65+ years leaving hospital in New South Wales, Australia, between July 2000 and December 2003. METHOD: We carried out a population-based study of all hospital separations for NSW residents with a principal diagnosis of hip fracture (ICD-10-AM S72.0 to S72.2) and first external cause of fall (ICD-10-AM codes W00 to W19), linked to NSW death data. A total of 16,836 cases were included. Relative survival 3 to 36 months post-admission by 10-year age groups and sex was calculated, using NSW life tables for 2002-2004. Relative excess risk was modelled using a generalised linear model with Poisson error structure, using the life table data. RESULTS: One-year cumulative relative survival in 65- to 74-year-olds was 82% (men), 90% (women); in 85+-year-olds 65% (men), 80% (women). Men have a relative excess risk of death of 2.2 (95% CI 2.03-2.38) times that of women. Only 21% of deaths mention the hip fracture as contributing to death. CONCLUSION: There is a need to reduce the number of hip fractures and improve clinical outcomes for older people hospitalised with hip fractures.


Subject(s)
Hip Fractures/mortality , Accidental Falls/statistics & numerical data , Age Distribution , Aged , Aged, 80 and over , Female , Frail Elderly , Hip Fractures/epidemiology , Hospitalization/statistics & numerical data , Humans , Life Tables , Linear Models , Male , New South Wales/epidemiology , Risk , Sex Distribution , Survival Rate
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