Previous consultation and self reported health status as predictors of future demand for primary care.
OBJECTIVE
There has been little prospective investigation of what predicts general practice consultation. The objective of this study was to investigate the extent to which previous primary care consultation and self reported health status are predictors of future primary care consultation.


METHODS
Population based cohort study in two phases. Firstly, a baseline survey (1995/96) to identify the cohort and to obtain self reported health status using the UK census limiting long term illness (LLI) question and the Short Form-36 (SF-36) health profile. Secondly, analysis of general practice medical records for two years (1994/1995) before the survey and for two years (1997/1998) after the survey. Analysis was performed on: (a) all contacts coded by the GP, (b) the subgroup of contacts given a diagnostic morbidity code by the GP.


METHODS
One general practice in North Staffordshire, UK.


METHODS
738 survey respondents who had consented to viewing of medical records including all those who reported LLI together with an age-gender matched control group of those who reported no LLI.


RESULTS
High frequency consulters in 1994/95 were more likely than non-consulters or average consulters in that year to be high consulters in 1997/98 (odds ratio 5.6, 95% confidence interval 3.82 to 8.25, for all contacts; 4.4 for diagnostic coded consultations). Self reported role disability and physical limitation from the SF-36 at baseline increased the probability of being a future high consulter but the effects were weaker than for previous consultation. Previous consultation within a diagnostic group was the main predictor for future consultation within that group with weaker but significant prediction by self reported health status.


CONCLUSIONS
Reliable morbidity coding in general practice provides the best available basis for predicting future demand in primary care. Self reported health status survey instruments add to this information but on their own are weaker predictors of future consultation.
Jordan
K
K
Primary Care Sciences Research Centre, Keele University, Keele, UK. k.p.jordan@keele.ac.uk
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BN
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D000328:Adult; D000368:Aged; D004739:England; D005194:Family Practice / Q000706:statistics & numerical data; D005260:Female; D005500:Follow-Up Studies; D006300:Health Services Misuse / Q000706:statistics & numerical data; D006301:Health Services Needs and Demand / Q000639:trends*; D006304:Health Status; D006305:Health Status Indicators; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D020380:Needs Assessment; D009819:Office Visits / Q000706:statistics & numerical data*; D011320:Primary Health Care / Q000706:statistics & numerical data*; D011446:Prospective Studies; D020377:Self Efficacy