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1.
BMC Med Res Methodol ; 19(1): 15, 2019 01 11.
Article in English | MEDLINE | ID: mdl-30634917

ABSTRACT

BACKGROUND: Patient reported outcomes are increasingly used to assess the success of surgical procedures. Patient reported complications are often included as an outcome. However, these data must be validated to be accurate and useful in clinical practice. METHODS: This was a retrospective descriptive study of 364 patients who had completed their six-month follow-up review questionnaire in the Arthroplasty Clinical Outcomes Registry, National (ACORN), an Australian orthopaedic registry. Patient-reported complications following total hip arthroplasty (THA) and total knee arthroplasty (TKA) were compared to surgeon-reported complications recorded in their electronic medical records at their various follow-up appointments. Sensitivity, specificity, positive predictive value and negative predictive value were calculated. Agreement was assessed using percentage agreement and Cohen's kappa. RESULTS: Patient-reported data from the ACORN registry returned overall low sensitivity (0.14), negative predictive value (0.13) and kappa values (0.11), but very high specificity (0.98), positive predictive value (0.98) and agreement values (96.3%) for reporting of complications when compared to surgeon-reported data. Values varied depending on the type and category of complication. CONCLUSION: Patients are accurate in reporting the absence of complications, but not the presence. Sensitivity of patient-reported complications needs to be improved. Greater attention to the clarity of the questions asked may help in this respect.


Subject(s)
Arthroplasty, Replacement, Hip/adverse effects , Arthroplasty, Replacement, Knee/adverse effects , Patient Reported Outcome Measures , Australia , Female , Humans , Male , Reproducibility of Results , Retrospective Studies , Treatment Outcome
2.
BMC Public Health ; 12: 281, 2012 Apr 10.
Article in English | MEDLINE | ID: mdl-22490109

ABSTRACT

BACKGROUND: Heart disease is a leading cause of the gap in burden of disease between Aboriginal and non-Aboriginal Australians. Our study investigated short- and long-term mortality after admission for Aboriginal and non-Aboriginal people admitted with acute myocardial infarction (AMI) to public hospitals in New South Wales, Australia, and examined the impact of the hospital of admission on outcomes. METHODS: Admission records were linked to mortality records for 60047 patients aged 25-84 years admitted with a diagnosis of AMI between July 2001 and December 2008. Multilevel logistic regression was used to estimate adjusted odds ratios (AOR) for 30- and 365-day all-cause mortality. RESULTS: Aboriginal patients admitted with an AMI were younger than non-Aboriginal patients, and more likely to be admitted to lower volume, remote hospitals without on-site angiography. Adjusting for age, sex, year and hospital, Aboriginal patients had a similar 30-day mortality risk to non-Aboriginal patients (AOR: 1.07; 95% CI 0.83-1.37) but a higher risk of dying within 365 days (AOR: 1.34; 95% CI 1.10-1.63). The latter difference did not persist after adjustment for comorbid conditions (AOR: 1.12; 95% CI 0.91-1.38). Patients admitted to more remote hospitals, those with lower patient volume and those without on-site angiography had increased risk of short and long-term mortality regardless of Aboriginal status. CONCLUSIONS: Improving access to larger hospitals and those with specialist cardiac facilities could improve outcomes following AMI for all patients. However, major efforts to boost primary and secondary prevention of AMI are required to reduce the mortality gap between Aboriginal and non-Aboriginal people.


Subject(s)
Hospital Mortality/trends , Myocardial Infarction/ethnology , Myocardial Infarction/mortality , Native Hawaiian or Other Pacific Islander/statistics & numerical data , Patient Admission/statistics & numerical data , Adult , Aged , Aged, 80 and over , Analysis of Variance , Female , Hospitalization/statistics & numerical data , Humans , Male , Medical Record Linkage , Middle Aged , New South Wales/epidemiology , Patient Admission/trends , Prevalence , Sex Factors , Time Factors
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