Analysis of 1263 deaths in four general practices.
BACKGROUND
The death of a patient is a significant event that occurs often enough in general practice for it to have the potential to tell us much about the care we provide. There are few large series in the literature and we still know little about the collaborative use of this outcome measure.


OBJECTIVE
To determine the pattern of deaths and potentially preventable factors in our practices.


METHODS
We completed a standard data collection form after each death in four general practices over a 40-month period. The results were discussed at quarterly meetings.


RESULTS
A total of 1263 deaths occurred among our registered patients during the period of the audit. Preventable factors contributing to deaths were considered to be attributable to: patients (40%): mainly cigarette smoking, poor compliance, and alcohol problems; general practice teams (5%): mainly delayed referral, diagnosis and treatment, and failure to prescribe aspirin to patients with vascular disease; hospitals (6%): mainly delayed diagnosis and perceived treatment problems; the environment (3%): mainly falls, principally resulting in fractured neck of femur.


CONCLUSIONS
A simple audit of deaths along the lines that we describe gives important information about the care provided by general practice teams and those in hospital practice. It has both educational value and is a source of ideas for service improvement and further study, particularly when carried out over several years.
Holden
J
J
Medical Centre, St Helen's.
O'Donnell
S
S
Brindley
J
J
Miles
L
L
D000058:Accidental Falls / Q000401:mortality; D000293:Adolescent; D000328:Adult; D000368:Aged; D000428:Alcohol Drinking / Q000401:mortality; D000894:Anti-Inflammatory Agents, Non-Steroidal / Q000627:therapeutic use; D001241:Aspirin / Q000627:therapeutic use; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D003951:Diagnostic Errors; D004739:England / Q000453:epidemiology; D005194:Family Practice / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008485:Medical Audit; D008875:Middle Aged; D012907:Smoking / Q000401:mortality; D016312:Treatment Refusal / Q000706:statistics & numerical data
D000894:Anti-Inflammatory Agents, Non-Steroidal; D001241:Aspirin