Socio-economic characteristics of adult frequent attenders in general practice: secondary analysis of data.
OBJECTIVE
This study was carried out to determine the effect of a range of socio-economic features on frequent attendance in general practice from a large database of general practice consultations using two definitions of frequent attendance.


METHODS
Secondary analyses were carried out of data from the Fourth National Survey of Morbidity in General Practice covering 60 general practices in England and Wales. A total of 283 842 adult patients and their consultations between September 1991 and August 1992 were examined. The main outcome measure was the odds ratio of being a frequent attender (95% confidence intervals).


RESULTS
Using a definition of 12+ consultations/year, men were less likely to be frequent attenders (OR 0.14, 95% CI 0.13-0.17); however, the difference between men and women lessens with age. Patients who were more likely to be frequent attenders included those who were divorced or widowed (1.41, 1.31-1.51); from social classes IIIM (1.23, 1.17-1.29) and IV/V (1.33, 1.26-1.41); South Asian people (1.38, 1.16-1.65); or unemployed (1.61, 1.46-1.77). Other factors signifying isolation or poverty were also linked to frequent attendance. Using the definition of '6+ consultations for minor problems' produced broadly similar results although the relative weight of the factors showed some differences.


CONCLUSIONS
Socio-economic factors were important indicators of frequent attendance in general practice. Results were very similar using either definition, suggesting that both are valid for further work. Furthermore, frequent attendance is a complex process associated with many factors outside the control of the GP.
Sub-Unit for Medical Statistics, Nuffield Institute for Health and Centre for Research in Primary Care, University of Leeds, Leeds, UK.
B
B
Scaife
P
P
Gill
P
P
Heywood
R
R
Neal
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D005194:Family Practice / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011320:Primary Health Care / Q000706:statistics & numerical data*; D017678:Sex Distribution; D012959:Socioeconomic Factors; D006113:United Kingdom / Q000453:epidemiology