AI Article Synopsis
- There’s a new way called the SCDA index to figure out how many people in a location can use health services based on how close they are to them.
- This method looks at how many people nearby can use a service and doesn’t just focus on distance like other methods do.
- The SCDA was tested using data on a treatment for lung disease in Georgia, and it found better connections to how likely people were to use that treatment compared to older methods.
Article Abstract
The potential for a population at a given location to utilize a health service can be estimated using a newly developed measure called the supply-concentric demand accumulation (SCDA) spatial availability index. Spatial availability is the amount of demand at the given location that can be satisfied by the supply of services at a facility, after discounting the intervening demand among other populations that are located nearer to a facility location than the given population location. This differs from spatial accessibility measures which treat absolute distance or travel time as the factor that impedes utilization. The SCDA is illustrated using pulmonary rehabilitation (PR), which is a treatment for people with chronic obstructive pulmonary disease (COPD). The spatial availability of PR was estimated for each Census block group in Georgia using the 1105 residents who utilized one of 45 PR facilities located in or around Georgia. Data was provided by the Centers for Medicare & Medicaid Services. The geographic patterns of the SCDA spatial availability index and the two-step floating catchment area (2SFCA) spatial accessibility index were compared with the observed PR utilization rate using bivariate local indicators of spatial association. The SCDA index was more associated with PR utilization (Morans I = 0.607, P < 0.001) than was the 2SFCA (Morans I = 0.321, P < 0.001). These results suggest that the measures of spatial availability may be a better way to estimate the health care utilization potential than measures of spatial accessibility.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397658 | PMC |
| http://dx.doi.org/10.1186/s12942-020-00224-2 | DOI Listing |
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