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Waiting list statistics. III. Comparison of two measures of waiting times
1Oxford Regional Health Authority, Headington.
Insights
Patient waiting list duration estimates differ based on data collection methods. Census data overestimates long waiting times compared to event data, impacting healthcare analysis.
Area of Science:
- Health Services Research
- Healthcare Management
- Epidemiology
Background:
- Patient waiting times are a significant concern in healthcare systems.
- Accurate measurement of waiting list duration is crucial for resource allocation and patient flow management.
- Different data collection methods can lead to varying estimates of waiting list lengths.
Purpose of the Study:
- To compare the accuracy of two different data collection methods for measuring patient waiting times.
- To highlight the discrepancy between 'census' and 'event' data in estimating long waiting periods.
- To inform healthcare researchers and policymakers about potential biases in waiting time data.
Main Methods:
- Comparison of patient waiting times using SBH 203 (census) returns and Hospital Activity Analysis (event) data in the Oxford region.
- Analysis of the proportion of patients who had been on waiting lists for over a year using both data sources.
- Analogous comparison to prevalence (census) versus incidence (event) in epidemiological studies.
Main Results:
- SBH 203 (census) data yielded a higher proportion of patients waiting over a year compared to Hospital Activity Analysis (event) data.
- The 'census' method overestimates the prevalence of long waiting times.
- The 'event' method provides a more accurate measure of waiting times for admitted patients.
Conclusions:
- Healthcare waiting time data derived from 'census' methods may overestimate the duration patients spend on lists.
- Researchers and administrators should be aware of this difference when interpreting data from sources like SBH 203 and Hospital Activity Analysis.
- Understanding the distinction between prevalence and incidence measures is key to accurate healthcare waiting time analysis.
Abstract:
The length of time that patients spend on waiting lists is a topic of current concern. Calculating the proportion of patients who have been on a waiting list for a long time by taking a census of patients on the list at a single point in time will tend to yield a higher estimate than that obtained by calculating waiting times of patients admitted to hospital during a period of time. To illustrate this point the waiting times of patients in the Oxford region as measured by SBH 203 returns ("census" data) were compared with those as measured by the Hospital Activity Analysis ("event" data). As expected, the SBH 203 census returns showed a higher proportion of patients who had waited over a year compared with the "event" measure of all admissions. This difference, which is analagous to the difference between prevalence and incidence in epidemiology, should be considered when using data from these sources to calculate waiting times.