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1.
Intern Med J ; 49(3): 400-403, 2019 Mar.
Article in English | MEDLINE | ID: mdl-30897668

ABSTRACT

International Classification of Diseases, 10th Revision codes for rheumatic heart disease (RHD) include valvular heart disease of unspecified origin, limiting their usefulness for estimating RHD burden. A cross-disciplinary national consultation developed an algorithm to improve RHD identification in hospital data. The algorithm has been operationalised and piloted. The algorithm developed categorised 32% of RHD-coded patients as probable/possible RHD. We outline a series of research initiatives to improve identification of RHD in administrative data thereby contributing to monitoring the RHD burden globally.


Subject(s)
Epidemiological Monitoring , International Classification of Diseases , Rheumatic Heart Disease/classification , Rheumatic Heart Disease/diagnosis , Algorithms , Global Health , Humans , Predictive Value of Tests , Rheumatic Heart Disease/epidemiology
2.
Support Care Cancer ; 24(5): 1963-1973, 2016 May.
Article in English | MEDLINE | ID: mdl-26476627

ABSTRACT

PURPOSE: People diagnosed with cancer from rural and remote locations may experience heightened distress because of distance from cancer treatment and support services. We examined whether remoteness and other factors are associated with psychosocial distress and explored commonly reported problems among cancer patients in Western Australia (WA). METHODS: In a cross-sectional study, cancer patients newly referred to a Cancer Council WA Cancer Support Coordinator (CSC) were screened and assessed using the Distress Thermometer (DT) and Problem List (PL) and a standardized form, respectively. The index of remoteness was the Australian Standard Geographical Classification. The association between remoteness, demographic variables, and the frequency of problems endorsed on the PL was analyzed using bivariate analyses and a generalized linear mixed model (GLMM) regression. RESULTS: Of 1032 patients referred to a CSC, 466 were screened (45.2 %) with complete data available for 441 patients. Patients from remote areas reported fewer problems than patients from urban and regional locations. Increasing remoteness was not associated with higher distress (r = -0.04, p = 0.43). Concerns reported differed by remoteness category and included worry, sadness, fears, finances, transportation, and physical symptoms. More emotional problems were independently associated with higher distress (ß = 0.47, p < 0.001), explaining 17.31 % of the variance. CONCLUSIONS: There is no evidence that increasing remoteness is associated with higher distress. Emotional concerns and physical problems appear to be prevalent among cancer patients irrespective of urban or rural location. Specific concerns detected by distress screening, particularly emotional concerns, may warrant further assessment and targeted referrals.


Subject(s)
Health Services Accessibility/statistics & numerical data , Neoplasms/psychology , Rural Population/statistics & numerical data , Stress, Psychological , Urban Population/statistics & numerical data , Aged , Cross-Sectional Studies , Fear , Female , Humans , Male , Middle Aged , Neoplasms/diagnosis , Neoplasms/epidemiology , Neoplasms/therapy , Prevalence , Social Support , Statistics as Topic , Stress, Psychological/diagnosis , Stress, Psychological/epidemiology , Stress, Psychological/physiopathology , Western Australia/epidemiology
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