Benchmarking general practice use of pathology services: a model for monitoring change.
OBJECTIVE
To identify a model to assess general practitioner use of pathology services that could be applied to assess specific interventions designed to promote best practice.


METHODS
A database containing standardised requesting data for 22 general practices was constructed. The database contained 28 tests covering 95% of general practitioner activity, distributed across pathology, and it was evaluated during two sequential six month periods. A comparison of ranks of requesting activity between different time periods was undertaken by calculating Pearson rank correlation coefficients. Requesting numbers were also adjusted for patients' age and sex distributions within the 22 practices for a sample of three high volume tests. The effects of distributing requesting guidelines and details of requesting activity were assessed during two sequential three month periods.


RESULTS
Requesting activity was extremely stable during the two baseline periods for most test (r > 0.80 for 20 of the 28 tests). Several less discriminatory tests were identified. Age and sex adjustment had minimal impact on the ranks of requesting activity. Requesting activity during the two three month periods after distributing guidelines and comparative details of individual requesting activity showed little change (overall correlation coefficient, 0.844 between baseline and intervention periods).


CONCLUSIONS
Ranking general practitioners requesting activity adjusted for practice list size provides a reproducible means of measuring requesting activity for most pathology tests performed in general practice. Activity was not influenced by age or sex of patients on the practice list. Distributing requesting guidelines and individual requesting activity on their own do not have any measurable impact on requesting activity. More innovative (possibly multiple) interventions might be required to influence general practitioner requesting practice.
Smellie
W S
WS
Clinical Laboratory, General Hospital, Bishop Auckland, County Durham, UK.
Galloway
M J
MJ
Chinn
D
D
D000367:Age Factors; D019985:Benchmarking; D016208:Databases, Factual; D003954:Diagnostic Services / Q000706:statistics & numerical data*; D019317:Evidence-Based Medicine; D005194:Family Practice / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D017146:Models, Organizational; D010338:Pathology, Clinical / Q000706:statistics & numerical data*; D017410:Practice Guidelines as Topic; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D012017:Referral and Consultation; D015203:Reproducibility of Results; D012737:Sex Factors