Previous consultation and self reported health status as predictors of future demand for primary care.

Full Abstract

STUDY

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.

DESIGN:
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.

SETTING:
One general practice in North Staffordshire, UK.

PARTICIPANTS:
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.

MAIN 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.

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Author information

Author/s: Jordan, K (K); Ong, B N (BN); Croft, P (P);

Affiliation: Primary Care Sciences Research Centre, Keele University, Keele, UK. k.p.jordan(-atsign-)keele.ac.uk

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Journal of epidemiology and community health (J Epidemiol Community Health), published in England. (Language: eng)

Reference: 2003-Feb; vol 57 (issue 2) : pp 109-13

Dates: Created 2003/01/23; Completed 2003/04/16; Revised 2008/11/20;

PMID: 12540685, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adult
Aged
England
Family Practice - statistics & numerical data
Female
Follow-Up Studies
Health Services Misuse - statistics & numerical data
Health Services Needs and Demand - trends
Health Status
Health Status Indicators

Health Status Indicators
Health Surveys
Humans
Male
Middle Aged
Needs Assessment
Office Visits - statistics & numerical data
Primary Health Care - utilization
Prospective Studies
Self Efficacy

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