Validity of diagnostic coding within the General Practice Research Database: A systematic review

British Journal of General Practice

Volumn 60, Issue 572, 2010, Pages 199-206

  Khan, Nada F ^a   Harrison, Sian E ^a   Rose, Peter W ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Database management systems; Meta analysis; Sensitivity and specificity; Systematic review

Indexed keywords

CODING AND CLASSIFICATION; COMPARATIVE STUDY; DATA BASE; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; GENERAL PRACTICE; GENERAL PRACTICE RESEARCH DATABASE; HUMAN; MEDICAL RECORD; MUSCULOSKELETAL DISEASE; PATIENT REFERRAL; PREDICTION AND FORECASTING; PREVALENCE; PRIMARY MEDICAL CARE; QUESTIONNAIRE; REVIEW; SENSITIVITY AND SPECIFICITY; SYSTEMATIC REVIEW; VALIDITY;

EID: 77950370275     PISSN: 09601643     EISSN: None     Source Type: Journal    
DOI: 10.3399/bjgp10X483562     Document Type: Review

References (59)

1. Jordan K, Porcheret M, Kadam UT, Croft P. The use of general practice consultation databases in rheumatology research. Rheumatology (Oxford) 2006; 45(2): 126-128.
2. WalleyT, Mantgani A. The UK General Practice Research Database. Lancet 1997; 350(9084): 1097-1099.
3. García Rodríguez LA, Perez GS. Use of the UK General Practice Research Database for pharmacoepidemiology. Br J din Pharmacol 1998; 45(5): 419-425.
4. Medicines and Healthcare products Regulatory Agency. CPRD recording guidelines for vision users. London: Crown Copyright, 2004.
5. Medicines and Healthcare products Regulatory Agency. Data quality assessment in GPRD. London: Crown Copyright, 2007.
6. Goldberg J, Gelfand HM, Levy PS. Registry evaluation methods: a review and case study. Epidemiol Rev 1980;2: 210-220.
7. GPRD Group. Bibliography. London: GPRD. http://www.gprd.com/bibliography/ (accessed 20 Ian 2010).
8. Black C,Kaye JA, Jick H. Relation of childhood gastrointestinal disorders to autism: nested case-control study using data from the UK General Practice Research Database. BMJ 2002; 325(7361):419-421.
9. Van Staa TP, Abenheim L. The quality of information recorded on a UK database of primary care records: a study of hospitalizations due to hypogylcemia and other conditions. Pharmacoepidemiol Drug Saf 1994; 3:15-21.
10. Watson DJ, Rhodes T, Cai B, Guess HA. Lower risk of thromboembolic cardiovascular events with naproxen among patients with rheumatoid arthritis. Arch Intern Med 2002; 162(10): 1105-1110.
11. deAbajo FJ, Montero D, Madurga M, et al. Acute and clinically relevant drug-induced liver injury: a population based case-control study. Br J Clin Pharmacol 2004; 58(1): 71-80.
12. Eland IA, Alvarez CH, Strieker BH, et al. The risk of acute pancreatitis associated with acid-suppressing drugs. Br J Can Pharmacol 2000; 49(5): 473-478.
13. García Rodríguez LA, Duque A, Castellsague J, et al. A cohort study on the risk of acute liver injury among users of ketoconazole and other antifungal drugs. Br J Oin Pharmacol 1999; 48(6): 847-852.
14. HuertaC, Zhao SZ, García Rodríguez LA, et al. Risk of acute liver injury in patients with diabetes. Pharmacotherapy 2002; 22(9): 1091-1096.
15. Huerta C Castellsague J,Varas-Lorenzo C, et al. Nonsteroidal antiinflammatory drugs and risk of ARF in the general population. Am J Kidney Dis 2005; 45(3): 531-539.
16. Tumbull S, Ward A, Treasure J, et al. The demand for eating disorder care. An epidemiological study using the general practice research database. Br J Psychiatry 1996; 169(6): 705-712.
17. Derby L, Maier WC, Derby L, Maier WC. Risk of cataract among users of intranasal corticosteroids. J Allergy Clin Immunol 2000; 105(5): 912-916.
18. Wurst KE, Ephross SA, Loehr J, et al. The utility of the general practice research database to examine selected congenital heart defects: a validation study. Pharmacoepidemiol Drug Saf 2007; 16(8): 867-877. (Pubitemid 47322586)
19. Lewis JD, Brensinger C, Bilker WB, et al. Validity and completeness of the General Practice Research Database for studies of inflammatory bowel disease. Pharmacoepidemiol Drug Saf 2002; 11(3): 211-218.
20. Van Staa TP, Selby P, Leufkens HG, et al. Incidence and natural history of Pager's disease of bone in England and Wales, J Bone Miner Res 2002; 17(3): 465-471.
21. Van Staa TEA. The use of a large pharmacoepidemiological database to study exposure to oral corticosteroids and risk of fractures: validation of study population and results. Pharmacoepidemiol Drug Saf 2000; 9(5): 2000.
22. DeAbajo FJ, Rodríguez LA, Montero D, et al. Association between selective serotonin reuptake inhibitors and upper gastrointestinal bleeding: population based case-control study. BMJ 1999; 319(7217): 1106-1109
23. Nazareth I, King M, Haines A, et al. Accuracy of diagnosis of psychosis on general practice computer system. BMJ 1993; 307(6895): 32-34.
24. Margolis DJ, Bilker W, Santanna J, et al. Venous leg ulcer incidence and prevalence in the elderly. J Am Acad Dermatol 2002; 46(3): 381-386.
25. Margolis DJ, Bilker W, Knauss J, et al. The incidence and prevalence of pressure ulcers among elderly patients in general medical practice. Ann Epidemiol 2002; 12(5): 321-325.
26. Huerta G Rivero E, Rodríguez LA, et al. Incidence and risk factors for psoriasis in the general population. Arch Dermatol 2007; 143(12): 1559-1565.
27. Lawrenson R, Todd JC, Leydon GM, et al. Validation of the diagnosis of venous thromboembolism in general practice database studies. Br J Clin Pharmacol 2000; 49(6): 591-596.
28. Dunn N, Mullee M, Perry VH, et al. Association between dementia and infectious disease: evidence from a case-control study. Alzheimer Dis Assoc Disord 2005; 19(2): 91-94.
29. Farmer RD, Lawrenson RA, Todd JC, et al. Oral contraceptives and venous thromboembolic disease. Analyses of the UK General Practice Research Database and the UK Mediplus database. Hum Reprod Update 1999; 5(6): 688-706.
30. Ruigomez A, Garcia Rodriguez LA, Johansson S, et al. Is hormone replacement therapy associated with an increased risk of irritable 'bowel syndrome? Maturitas 2003; 44(2): 133-140.
31. Soriano JB, MaierWC, Visick G, et al. Validation of general practitioner-diagnosed COPD in the UK General Practice Research Database. Eur J Epidemiol 2001; 17(12): 1075-1080.
32. Ruigomez A, Johansson S, Wallander MA, et al. Incidence of chronic atrial fibrillation in general practice and its treatment pattern. J Clin Epidemiol 2002; 55(4): 358-363.
33. Huerta C, Lanes SF, Garcia Rodriguez LA, et al. Respiratory medications and the risk of cardiac arrhythmias. Epidemiology 2005; 16(3): 360-366.
34. Fombonne E, Heavey L, Smeeth L, et al. Validation of the diagnosis of autism in general practitioner records. BMC Public Health 2004; 4:5.
35. Hammad TA, McAdams MA, Feight A, et al. Determining the predictive value of Read/OXMIS codes to identify incident acute myocardial infarction in the General Practice Research Database. Pharmacoepidemiol Drug Saf 2008; 17(12): 1197-1201.
36. Varas-Lorenzo C, Garcia-Rodriguez LA, Perez-Gutthann S, et al. Hormone replacement therapy and incidence of acute myocardial infarction. A population-based nested case-control study. Circulation 2000; 101(22): 2572-2578.
37. Alonso A, Jick SS, Olek MJ, et al. Recent use of oral contraceptives and the risk of multiple sclerosis. Arch Neurol 2005; 62(9): 1362-1365.
38. Heman MAJ. Recombinant hepatitis B vaccine and the risk of multiple sclerosis: A prospective study. Neurology 2004; 63(5): 14.
39. deAbajo FJG. Risk of ventricular arrhythmias associated with nonsedating antihistamine drugs. Br J Clin Pharmacol 1999; 47(3): 307-313.
40. Hennessy S, Leonard CE, Palumbo CM, et al. Diagnostic codes for sudden cardiac death and ventricular arrhythmia functioned poorly to identify outpatient events in EPIC's General Practice Research Database. Pharmacoepidemiol Drug Saf 2008; 17(12): 1131-1136.
41. Thomas SL, Edwards CJ, Smeeth L, et al. How accurate are diagnoses for rheumatoid arthritis and juvenile idiopathic arthritis in the general practice research database? Arthritis Rheum 2008; 59(9): 1314-1321.
42. Jick H, Jick SS, Derby LE. Validation of information recorded on general practitioner based computerised data resource in the United Kingdom. BMJ 1991; 302(6779): 766-768.
43. Jick H, Terris BZ, Derby L, Jick S. Further validation of information recorded on a general practitioner based computerized data resource in the United Kingdom. Pharmacoepidemiol Drug Saf 1992; 1: 347-349.
44. Devine S, West SL, Andrews E, et al. Validation of neural tube defects in the full featured - general practice research database. Pharmacoepidemiol Drug Saf '2008; 17(5): 434-444.
45. Lewis JD, Brensinger C. Agreement between GPRD smoking data: a survey of general practitioners and a population-based survey. Pharmacoepidemiol Drug Saf 2004; 13(7): 437-441.
46. Derby LE, Jick H, Derby LE, Jick H. Appendectomy protects against ulcerative colitis. Epidemiology 1998; 9(2): 205-207.
47. Derby LE, Jick H, Dean AD, et al. Antidepressant drugs and suicide. J Clin Psychopharmacol 1992; 12(4): 235-240.
48. Hansen A, Hollowell J, Nichols T, et al. Use of the General Practice Research Database (GPRD) for respiratory epidemiology: a comparison with the 4th Morbidity Survey in General Practice (MSGP4). Thorax 1999 54(5): 413-1119
49. Hollowell J. The General Practice Research Database quality of morbidity data. Popul Trends 1997; (87): 36-40.
50. Jordan K, Clarke AM, Symmons DP, et al. Measuring disease prevalence: a comparison of musculoskeletal disease using four general practice consultation databases. Br J Gen Pract 2007; 57(534): 7-14.
51. Carey IM, Cook DG, De WS, et al. Implications of the problem orientated medical record (POMR) for research using electronic GP databases: a comparison of the Doctors Independent Network Database (DIN) and the General Practice Research Database (GPRD). BMC Earn Pract 2003; 4:14.
52. Carey IM, Cook DG, De WS, Bremner SA, et al. Developing a large electronic primary care database (Doctors' Independent Network) for research. Int J Med Inform 2004; 73(5): 443-453.
53. de Wilde S, Carey IM, Bremner SA, et al. A comparison of the recording of 30 common childhood conditions in the Doctor's Independent Network and General Practice Research Databases. Health Stat Q 2004; (22): 21-31.
54. Farmer RD, Lawrenson RA, Todd JC, et al. Oral contraceptives and venous thromboembolic disease. Analyses of the UK General Practice Research Database and the UK Mediplus database. Hum Reprod Update 1999; 5(6): 688-706.
55. Stowe J, Andrews N, Wise L, Miller E. Investigation of the temporal association of Guillain-Barre syndrome with influenza vaccine and influenzalike illness using the United Kingdom General Practice Research Database. Am J Epidemiol 2009; 169(3): 382-388.
56. Frischer M, Norwood J, Heatlie H, et al. A comparison of trends in problematic drug misuse from two reporting systems, J Public Health Med 2000; 22(3): 362-367.
57. Wurst KE, Ephross SA, LoehrJ, et al. Evaluation of the General Practice Research Database congenital heart defects prevalence: comparison to United Kingdom national systems. Birth Defects Res A Clin Mot Teratol 2007; 79(4): 309-316.
58. Jordan K, Porcheret M, Croft P. Quality of morbidity coding in general practice computerized medical records: a systematic review. Run Pract 2004; 21(4): 396-412.
59. Thiru K, Hassey A, Sullivan F. Systematic review of scope and quality of electronic patient record data in primary care. BMJ 2003; 326(7398): 1070.