Benefits of small area measurements
A spatial clustering analysis on medicare beneficiaries in the USA
Bibliographic Data
| ID | 12948592 |
|---|---|
| Authors | Carlos Siordia (University of Pittsburgh, corresponding author) |
| Year | 2013 |
| Volume | 7 |
| Issue | 1 |
| Pages | 53-59 |
| Publication date | 2013-05-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | HUMAN GEOGRAPHIES – Journal of Studies and Research in Human Geography (JOURNAL) |
| Journal identifiers | ISSN: 1843-6587 • E-ISSN: 2067-2284 |
| Publisher | University of Bucharest (Bucharest University Press) (PUBLISHER) |
| DOI | 10.5719/hgeo.2013.71.53 |
| OpenAlex | W2135432969 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
Small area estimates on where services for potential Medicare beneficiaries may be needed, could provide unique research opportunities for improving the healthcare quality of the ageing U.S. population. The project described in this paper validates this argument by contrasting the spatial clustering results from an analysis that uses large geographical units with proxy measures to the results from an analysis using small area geographic units with direct measures. Largearea proxy measures come from county-level U.S. Census Bureau 2010 cross sectional data on the number of people aged 65 and over. Medicare beneficiary estimates in 2007 with Primary Care Service Areas (PCSAs) make up the small-area directmeasure analysis. Findings show that the latter offers a more geographically defined appraisal of where healthcare quality efforts should focus to aid potential Medicare beneficiary populations. Because the healthcare quality of an aging population will only increase in importance as their numbers grow in the US, further research is needed
Actuarial science · Beneficiary · Business · Census · Census tract · Economic growth · Economics · Environmental health · Estimation · Geography · Health care · Population · Population ageing · Proxy (statistics · Small area estimation · Computer Science · Health disparities and outcomes · Medicine · Spatial and Panel Data Analysis · Urban Transport and Accessibility
Robustness in the Strategy of Scientific Model Building
The Effects of Data Aggregation in Statistical Analysis
The second-order analysis of stationary point processes
An Introduction to Macro-Level Spatial Nonstationarity
Area variations in health
Neighborhood archetypes for population health research
Maximising coverage of spatial demand for service
GIS and spatial data analysis
Toward the next generation of research into small area effects on health
An Introduction to the Theory of Statistics
A Scale-Space Clustering Method
The Modifiable Areal Unit Problem in Multivariate Statistical Analysis
Local Indicators of Spatial Association—Lisa
The role of spatial analysis and geographic data in the detection of disease causation
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,08 |
| Citation span | 2014 - 2014 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |