Developing a Peripherality Index for Rural Health Services
Author Information
Author(s): Gillian M Swan, Selvaraj Sivasubramaniam, David J Godden
Primary Institution: Centre for Rural Health, University of Aberdeen
Hypothesis
Can a clinical peripherality indicator be developed to relate to the pattern of services provided in rural and remote practices?
Conclusion
The clinical peripherality index can help planners understand how the location of practices affects the services they provide.
Supporting Evidence
- The clinical peripherality index explains 75% of the variance in the data.
- Rural practices had higher median peripherality indices compared to urban practices.
- The index can assist in planning and training for rural healthcare providers.
Takeaway
This study created a way to measure how remote a health practice is, which can help improve healthcare in rural areas.
Methodology
The study used factor analysis on demographic and geographic data from general practice communities in Scotland to create a clinical peripherality index.
Potential Biases
There may be underestimation of travel times where practices and hospitals share postcodes.
Limitations
The Phase II study collected limited data and did not circulate profiles to practices for validation.
Participant Demographics
The study included general practices from rural and remote areas in Scotland, serving over 96,000 people.
Statistical Information
P-Value
0.0001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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