RT Journal Article
SR Electronic
T1 Measuring disease prevalence: a comparison of musculoskeletal disease using four general practice consultation databases
JF British Journal of General Practice
JO Br J Gen Pract
FD British Journal of General Practice
SP 7
OP 14
VO 57
IS 534
A1 Kelvin Jordan
A1 Alexandra M Clarke
A1 Deborah PM Symmons
A1 Douglas Fleming
A1 Mark Porcheret
A1 Umesh T Kadam
A1 Peter Croft
YR 2007
UL http://bjgp.org/content/57/534/7.abstract
AB Background Primary care consultation data are an important source of information on morbidity prevalence. It is not known how reliable such figures are.Aim To compare annual consultation prevalence estimates for musculoskeletal conditions derived from four general practice consultation databases.Design of study Retrospective study of general practice consultation records.Setting Three national general practice consultation databases: i) Fourth Morbidity Statistics from General Practice (MSGP4, 1991/92), ii) Royal College of General Practitioners Weekly Returns Service (RCGP WRS, 2001), and iii) General Practice Research Database (GPRD, 1991 and 2001); and one regional database (Consultations in Primary Care Archive, 2001).Method Age-sex standardised persons consulting annual prevalence rates for musculoskeletal conditions overall, rheumatoid arthritis, osteoarthritis and arthralgia were derived for patients aged 15 years and over.Results GPRD prevalence of any musculoskeletal condition, rheumatoid arthritis and osteoarthritis was lower than that of the other databases. This is likely to be due to GPs not needing to record every consultation made for a chronic condition. MSGP4 gave the highest prevalence for osteoarthritis but low prevalence of arthralgia which reflects encouragement for GPs to use diagnostic rather than symptom codes.Conclusion Considerable variation exists in consultation prevalence estimates for musculoskeletal conditions. Researchers and health service planners should be aware that estimates of disease occurrence based on consultation will be influenced by choice of database. This is likely to be true for other chronic diseases and where alternative symptom labels exist for a disease. RCGP WRS may give the most reliable prevalence figures for musculoskeletal and other chronic diseases.