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Undiagnosed diabetes from cross-sectional GP practice data: an approach to identify communities with high likelihood of undiagnosed diabetes.

Bagheri N, McRae I, Konings P, Butler D, Douglas K, Del Fante P, Adams R - BMJ Open (2014)

Bottom Line: North-West Adelaide, Australia.This study used two population samples-one from the de-identified GP practice data (n=9327 active patients, aged 18 years and over) and another from NWAHS (n=4056, aged 18 years and over).The method can be used to estimate population prevalence of diabetes from general practices wherever these data are available.

View Article: PubMed Central - PubMed

Affiliation: Australian Primary Health Care Research Institute, Australian National University, Canberra, Australia.

No MeSH data available.


Related in: MedlinePlus

Spatial patterns of diagnosed diabetes.
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BMJOPEN2014005305F3: Spatial patterns of diagnosed diabetes.

Mentions: The spatial pattern of the already diagnosed prevalence was broadly consistent with the pattern of expected total level of diabetes in the study at SA1 level, in that the highest prevalence was seen in the Eastern part of the study area (figure 3). The prevalence of diagnosed diabetes varied from 0% to 37.5% in the selected SA1s in the study area.


Undiagnosed diabetes from cross-sectional GP practice data: an approach to identify communities with high likelihood of undiagnosed diabetes.

Bagheri N, McRae I, Konings P, Butler D, Douglas K, Del Fante P, Adams R - BMJ Open (2014)

Spatial patterns of diagnosed diabetes.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4120432&req=5

BMJOPEN2014005305F3: Spatial patterns of diagnosed diabetes.
Mentions: The spatial pattern of the already diagnosed prevalence was broadly consistent with the pattern of expected total level of diabetes in the study at SA1 level, in that the highest prevalence was seen in the Eastern part of the study area (figure 3). The prevalence of diagnosed diabetes varied from 0% to 37.5% in the selected SA1s in the study area.

Bottom Line: North-West Adelaide, Australia.This study used two population samples-one from the de-identified GP practice data (n=9327 active patients, aged 18 years and over) and another from NWAHS (n=4056, aged 18 years and over).The method can be used to estimate population prevalence of diabetes from general practices wherever these data are available.

View Article: PubMed Central - PubMed

Affiliation: Australian Primary Health Care Research Institute, Australian National University, Canberra, Australia.

No MeSH data available.


Related in: MedlinePlus