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Mendeley readers
Attention Score in Context
| Title |
Disaster impacts on cost and utilization of Medicare
|
|---|---|
| Published in |
BMC Health Services Research, February 2018
|
| DOI | 10.1186/s12913-018-2900-9 |
| Pubmed ID | |
| Authors |
Nathanael Rosenheim, Shannon Grabich, Jennifer A. Horney |
| Abstract |
To estimate changes in the cost and utilization of Medicare among beneficiaries over age 65 who have been impacted by a natural disaster, we merged publically available county-level Medicare claims for the years 2008-2012 with Federal Emergency Management Agency (FEMA) data related to disasters in each U.S. County from 2007 to 2012. Fixed-effects generalized linear models were used to calculate change in per capita costs standardized by region and utilization per 1000 beneficiaries at the county level. Aggregate county demographic characteristics of Medicare participants were included as predictors of change in county-level utilization and cost. FEMA data was used to determine counties that experienced no, some, high, and extreme hazard exposure. FEMA data was merged with claims data to create a balanced panel dataset from 2008 to 2012. In general, both cost and utilization of Medicare services were higher in counties with more hazard exposure. However, utilization of home health services was lower in counties with more hazard exposure. Additional research using individual-level data is needed to address limitations and determine the impacts of the substitution of services (e.g., inpatient rehabilitation for home health) that may be occurring in disaster affected areas during the post-disaster period. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Other | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 17 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 13% |
| Social Sciences | 4 | 9% |
| Nursing and Health Professions | 3 | 7% |
| Engineering | 3 | 7% |
| Environmental Science | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 17 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2018.
All research outputs
#5,953,343
of 23,025,074 outputs
Outputs from BMC Health Services Research
#2,714
of 7,708 outputs
Outputs of similar age
#121,536
of 437,851 outputs
Outputs of similar age from BMC Health Services Research
#91
of 182 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,708 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.