Observational study of a general practice out of hours cooperative: measures of activity

Abstract

Objective: To evaluate an out of hours cooperative of general practitioners compared with a deputising service.

Design: Observational study of two services in overlapping geographical areas.

Setting: A general practice cooperative in Kensington, Chelsea, and Westminster and a deputising service operating in that area and the neighbouring area of Brent and Harrow.

Subjects: All patients contacting a doctor at either service in an eight week period beginning 1 September 1995.

Main outcome measures: Patients' age and sex; rates of home visiting, telephone advice, and attendance at a primary centre; hospital admission rates; prescribing rates; times of patient cells; and response times.

Results: Data were collected on 5812 patient contacts. Doctors from the cooperative visited 32.0% (1253/ 3920) of patients, offered telephone advice to 57.8% (2267), and saw 7.1% (278) of patients at the primary care centre. By contrast, the deputising service visited 76.3% (1444/1892) of patients and gave telephone advice to 19.3% (365). Doctors from the cooperative prescribed drugs to fewer patients (37.6%; 1473/3915) than did the deputising service (51.7%; 941/1821) (odds ratio 0.56 (95% confidence interval 0.50 to 0.63) adjusted for age and sex) and admitted 8.7% (339/ 3888) of patients to hospital compared with 6.8% (128/1889) from the deputising service (odds ratio 1.30 (1.05 to 1.61) adjusted for age and sex). Response times for the deputising service were faster (median time to visit 65 minutes) than for the cooperative (median time to visit 75 minutes) but the time to first contact with a doctor was shorter for the cooperative because most people initially received telephone advice.

Conclusions: The cooperative in this study dealt with patient contacts very differently from the way the deputising service dealt with contacts, fewer patients being visited and fewer receiving prescriptions. The data presented enable other out of hours services to compare their own performance using a standard data collection and analysis program.