Prevalence and characteristics in coding, classification and diagnosis of diabetes in primary care.

@article{Seidu2014PrevalenceAC,
  title={Prevalence and characteristics in coding, classification and diagnosis of diabetes in primary care.},
  author={Samuel Seidu and Melanie J Davies and S A Mostafa and Simon de Lusignan and Kamlesh Khunti},
  journal={Postgraduate medical journal},
  year={2014},
  volume={90 1059},
  pages={13-7}
}
INTRODUCTION Approximately 366 million people worldwide live with diabetes and this figure is expected to rise. Among the correct diagnosis, there will be errors in the diagnosis, classification and coding, resulting in adverse health and financial implications. AIM To determine the prevalence and characteristics of diagnostic errors in people with diabetes managed in primary care settings. METHODS We conducted a cross-sectional study in nine general practices in Leicester, UK, from May to… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Automated identi fi cation of miscoded and misclassi fi ed cases of diabetes from computer records

  • AR Sadek, J vanVlymen, K Khunti
  • Diabet Med
  • 2012

The use of metformin in type 1 diabetes : a systematic review of ef fi cacy

  • NH Sadek, AR Sadek, A Tahir
  • Diabetologia
  • 2010

Miscoding , misclassi fi cation and misdiagnosis of diabetes in primary care

  • S deLusignan, N Sadek, H Mulnier
  • Diabet Med
  • 2009

Similar Papers

Loading similar papers…