• 1
    Gannon M, Qaseem A, Snow V. Community-based primary care: improving and assessing diabetes management. Am J Med Qual 2010; 25: 612.
  • 2
    Valk GD, Renders CM, Kriegsman DM et al. Quality of care for patients with type 2 diabetes mellitus in the Netherlands and the United States: a comparison of two quality improvement programs. Health Serv Res 2004; 39(4 Pt 1): 70925.
  • 3
    Gillett M, Dallosso HM, Dixon S et al. Delivering the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cost effectiveness analysis. BMJ. 2010; 341: c4093. doi: 10.1136/bmj.c4093.
  • 4
    Beckles GL, Engelgau MM, Narayan KM, Herman WH, Aubert RE, Williamson DF. Population-based assessment of the level of care among adults with diabetes in the U.S. Diabetes Care 1998; 21: 14328.
  • 5
    de Lusignan S, Sullivan F, Krause P. Vault, cloud and agent: choosing strategies for quality improvement and research based on routinely collected health data. Inform Prim Care 2010; 18: 14.
  • 6
    de Lusignan S. Computerised routinely collected primary care data: essential for patient access to records, quality improvement and research. Inform Prim Care 2010; 18: 57.
  • 7
    de Lusignan S, Khunti K, Belsey J et al. A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data. Diabet Med 2010; 27: 2039.
  • 8
    Stone MA, Camosso-Stefinovic J, Wilkinson J, de Lusignan S, Hattersley AT, Khunti K. Incorrect and incomplete coding and classification of diabetes: a systematic review. Diabet Med 2010; 27: 4917.
  • 9
    RCGP NHS Diabetes. Coding, Classification and Diagnosis of Diabetes. Leicester: Prontaprint, 2011.
  • 10
    MIQUEST User Manuals and queries data extraction: IAPT Study. In: Clinical Informatics SGsUoL, editor, 2010.
  • 11
    de Lusignan S, Sadek N, Mulnier H, Tahir A, Russell-Jones D, Khunti K. Miscoding, misclassification and misdiagnosis of diabetes in primary care. Diabet Med 2012; 29: 1819.
  • 12
    Hulscher ME, Laurant MG, Grol RP. Process evaluation on quality improvement interventions. Qual Saf Health Care 2003; 12: 406.
  • 13
    Dijkstra RF, Niessen LW, Braspenning JC, Adang E, Grol RT. Patient-centred and professional-directed implementation strategies for diabetes guidelines: a cluster-randomized trial-based cost-effectiveness analysis. Diabet Med 2006; 23: 16470.
  • 14
    Schouten LM, Niessen LW, van de Pas JW, Grol RP, Hulscher ME. Cost-effectiveness of a quality improvement collaborative focusing on patients with diabetes. Med Care 2010; 48: 88491.
  • 15
    Schouten LM, Hulscher ME, van Everdingen JJ, Huijsman R, Niessen LW, Grol RP. Short- and long-term effects of a quality improvement collaborative on diabetes management. Implement Sci 2010; 5: 94.
  • 16
    Laurier E. Key Methods in Geography. London: Sage Publications, 2003.
  • 17
    Farmer A, Fox R. Diagnosis, classification, and treatment of diabetes. BMJ. 2011; 342: d3319. doi: 10.1136/bmj.d3319.
  • 18
    Vamos EP, Pape UJ, Bottle A et al. Association of practice size and pay-for-performance incentives with the quality of diabetes management in primary care. CMAJ 2011; 183: E80916.
  • 19
    Michalakidis G, Kumarapeli P, Ring A, van Vlymen J, Krause P, de Lusignan S. A system for solution-orientated reporting of errors associated with the extraction of routinely collected clinical data for research and quality improvement. Stud Health Technol Inform 2010; 160(Pt 1): 7248.
  • 20
    Kumarapeli P, Hague N, de Lusignan S. User Manual for MIQUEST Data Extraction PCI-MH-08 Query Set. Primary Care Informatics, St. George’s University of London. [Accessed June 2012]
  • 21
    Kumarapeli P, de Lusignan S, Robinson J. Online resources for chronic kidney disease (CKD) for primary care. Inform Prim Care 2006; 14: 13942.
  • 22
    Kumarapeli P, de Lusignan S. Excel eGFR Calculator (for Multiple Calculations). (open the link to the Excel calculator – direct download[Accessed June 2012])
  • 23
    YouTube, Classification of Diabetes toolkit. Accessed June 2012]
  • 24
    de Lusignan S, van Weel C. The use of routinely collected computer data for research in primary care: opportunities and challenges. Fam Pract 2006; 23: 25363.
  • 25
    Sadek AR, van Vlymen J, Khunti K, de Lusignan S. Automated identification of miscoded and misclassified cases of diabetes from computer records. Diabet Med 2012; 29: 4104.