An "early warning system' for health needs: surveillance of the quality of clinical services by audit of extra-contractual referrals (ECRs).
Extra-contractual referrals (ECRs) can be a cause of considerable anxiety to purchasing authorities, mainly because of their potential to generate unexpected expenditure. But ECRs can also be used as a tool for monitoring the demand for, and quality of, clinical services. ECRs were studied in the Darlington Health Authority district using a variety of methods including inter-disciplinary meetings, a series of interviews with local GPs, and a questionnaire to general practitioners on 230 consecutive ECRs. The methods and results of the questionnaire study are presented. The commonest reasons for making ECRs included the mistaken belief that a contract existed with the ECR provider, patient dissatisfaction with the local provider, and referral to benefit from shorter waiting lists. ECRs for bone-mass densitometry, orthopaedics, and ear nose and throat services were over-represented. Questionnaire results were validated by comparison with an interview study of all GPs in the district. We conclude that trends in ECRs can be monitored as a convenient "early warning system' to alert purchasing authorities to changes in demand or perceived problems with local provider units. ECR data must be interpreted in the context of further local background information from sources such as GPs and public health physicians. In the case of Darlington, scrutiny of ECRs has led to changes in services and contracts.
Charlton
B G
BG
County Durham Health Commission, Durham.
Michie
A F
AF
Gorton
R K
RK
Pugh
E
E
D003284:Contract Services / Q000706:statistics & numerical data*; D004739:England; D005194:Family Practice / Q000706:statistics & numerical data; D006301:Health Services Needs and Demand / Q000639:trends*; D006801:Humans; D008485:Medical Audit / Q000706:statistics & numerical data*; D010348:Patient Care Team / Q000706:statistics & numerical data; D012017:Referral and Consultation / Q000706:statistics & numerical data*; D013222:State Medicine / Q000706:statistics & numerical data*