scholarly journals Geographic variation in prostate cancer survival in New South Wales

2014 ◽  
Vol 200 (10) ◽  
pp. 586-590 ◽  
Author(s):  
Xue Qin Yu ◽  
Qingwei Luo ◽  
David P Smith ◽  
Dianne L O'Connell ◽  
Peter D Baade
2015 ◽  
Vol 44 (suppl_1) ◽  
pp. i40-i40
Author(s):  
X. Q. Yu ◽  
Q. Luo ◽  
D. P. Smith ◽  
D. L. O'Connell ◽  
P. D. Baade

1967 ◽  
Vol 15 (6) ◽  
pp. 1163 ◽  
Author(s):  
WH Ewers

A morph-frequency cline and a size cline are described for the snail Velacumantus australis. The frequency of a white-banded form decreases clinally with latitude South. Living populations from Queensland and northern New South Wales have frequencies between 7 and 18% whereas all populations from southern New South Wales and eastern Victoria, except those from Lake Illawarra, have frequencies between 2 and 5%. The frequency in Port Phillip Bay is less than 0.1%. The frequency in a sample from Swan River, Western Australia, was 9.1% about the same as in samples from localities of the same latitude on the eastern coast of Australia. The frequency in most fossil samples was similar to that in nearby living populations. The mean length of populations from the eastern states increases clinally with increase in latitude South, although there are some irregular fluctuations between adjacent populations which are probably influenced by population density.


BMJ Open ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. e027639 ◽  
Author(s):  
Michael O Falster ◽  
Alastair H Leyland ◽  
Louisa R Jorm

ObjectivePreventable hospitalisations are used internationally as a performance indicator for primary care, but the influence of other health system factors remains poorly understood. This study investigated between-hospital variation in rates of preventable hospitalisation.SettingLinked health survey and hospital admissions data for a cohort study of 266 826 people aged over 45 years in the state of New South Wales, Australia.MethodBetween-hospital variation in preventable hospitalisation was quantified using cross-classified multiple-membership multilevel Poisson models, adjusted for personal sociodemographic, health and area-level contextual characteristics. Variation was also explored for two conditions unlikely to be influenced by discretionary admission practice: emergency admissions for acute myocardial infarction (AMI) and hip fracture.ResultsWe found significant between-hospital variation in adjusted rates of preventable hospitalisation, with hospitals varying on average 26% from the state mean. Patients served more by community and multipurpose facilities (smaller facilities primarily in rural areas) had higher rates of preventable hospitalisation. Community hospitals had the greatest between-hospital variation, and included the facilities with the highest rates of preventable hospitalisation. There was comparatively little between-hospital variation in rates of admission for AMI and hip fracture.ConclusionsGeographic variation in preventable hospitalisation is determined in part by hospitals, reflecting different roles played by community and multipurpose facilities, compared with major and principal referral hospitals, within the community. Care should be taken when interpreting the indicator simply as a performance measure for primary care.


2015 ◽  
Vol 39 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Xue Qin Yu ◽  
Qingwei Luo ◽  
David P. Smith ◽  
Mark S. Clements ◽  
Dianne L. O’Connell

2016 ◽  
Vol 13 (3) ◽  
pp. 160-171 ◽  
Author(s):  
Paula Cronin ◽  
Brent Kirkbride ◽  
Albert Bang ◽  
Bonny Parkinson ◽  
David Smith ◽  
...  

2008 ◽  
Vol 189 (6) ◽  
pp. 315-318 ◽  
Author(s):  
David P Smith ◽  
Rajah Supramaniam ◽  
Villis R Marshall ◽  
Bruce K Armstrong

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