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Published on: August 8, 2019
Relation between night visit rates and deprivation measures in one general practice
R D Carlisle1, S P Johnstone, J C Pearson
1Department of Public Medicine, North Nottinghamshire Health Authority, Ransom Hospital.
Summary
Night visit rates varied significantly across electoral wards, correlating with deprivation and unemployment. The Townsend score proved a better predictor of these variations than the Jarman score in this general practice study.
Area of Science:
- General Practice
- Health Services Research
- Socioeconomic Determinants of Health
Background:
- Significant variations in general practice workload exist, potentially linked to socioeconomic factors.
- Understanding these variations is crucial for equitable resource allocation and service delivery.
Purpose of the Study:
- To investigate the relationship between night visit rates and socioeconomic deprivation scores (Jarman and Townsend) and unemployment rates within electoral wards of a single general practice.
- To compare the predictive power of different deprivation indices for general practice workload.
Main Methods:
- Analysis of computerized workload data from a general practice in Mansfield, Nottinghamshire.
- Examined night visit data for 11,998 patients over 588 nights across 15 electoral wards.
- Correlated night visit rates with Jarman Deprivation Score, Townsend Deprivation Score, and local unemployment rates.
Main Results:
- Night visit rates per 1000 patients per year ranged from 19.6 to 55.3 across the 15 electoral wards.
- A statistically significant association was found between night visit rates and the Townsend score (p=0.004) and unemployment rate (p=0.03).
- The Townsend score explained 49% of the variability in night visit rates, unemployment explained 31%, and the Jarman score explained only 9%.
Conclusions:
- A substantial (2.8-fold) variation in night visit rates was observed between electoral wards, even in a practice not receiving deprivation payments.
- The Townsend score demonstrated superior predictive capability for night visit rates compared to the Jarman score within this practice.
- Analyzing internal workload variations in computerized general practices offers a direct method to study the link between socioeconomic deprivation and workload.
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