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List size and patient contact in general medical practice
Insights
General practitioners with larger patient lists had more consultations but less time per patient. These findings suggest complex effects of patient list size on healthcare quality.
Area of Science:
- General Practice
- Healthcare Management
- Primary Care Medicine
Background:
- Patient list size is a key factor influencing general practitioner workload and practice dynamics.
- Understanding the relationship between patient volume and consultation patterns is crucial for healthcare resource allocation.
Purpose of the Study:
- To investigate the correlation between the number of registered patients (list size) and general practitioners' (GPs) consultation activities.
- To analyze how list size affects the total number of consultations, time spent with patients, and consultation rate.
Main Methods:
- Data collected from 199 general practitioners over representative recording days.
- Statistical analysis of correlations between patient list size and consultation metrics.
Main Results:
- A positive correlation was observed between patient list size and the total number of consultations and time spent in patient contact.
- A negative correlation was found between patient list size and consultation rate, and time spent per patient.
- Significant variation existed among GPs, especially those with smaller patient lists.
Conclusions:
- While larger patient lists lead to more overall activity, they reduce the time available for each patient.
- Findings highlight the nuanced impact of patient list size on the quality of care and suggest caution regarding list size reductions.
Abstract:
One hundred and ninety nine general practitioners collected data on consultations with patients for a representative sample of recording days. The number of consultations and amount of time spent in patient contact were positively correlated with the number of registered patients (list size), whereas the consultation rate and the amount of time spent with each patient were negatively correlated. These relations, however, were not too strong, and there was considerable variation among doctors, particularly for those with lower list sizes. These findings have implications for issues concerning quality of care and the potential effects of reductions in patient list size.