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Article details
Title
Does the Relationship of the Proxy to the Target Person Affect the Concordance between Survey Reports and Medicare Claims Measures of Health Services Use?
Published in
Health Services Research, June 2015
DOI 10.1111/1475-6773.12321
Pubmed ID
Authors
Abstract

To compare concordance of survey reports of health service use versus claims data between self respondents and spousal and nonspousal relative proxies. 1995-2010 data from the Survey on Assets and Health Dynamics among the Oldest Old and 1993-2010 Medicare claims for 3,229 individuals (13,488 person-years). Regression models with individual fixed effects were estimated for discordance of any hospitalizations and outpatient surgery and for the numbers of under- and over-reported physician visits. Spousal proxies were similar to self respondents on discordance. Nonspousal proxies, particularly daughters/daughters-in-law and sons/sons-in-law, had less discordance, mainly due to reduced under-reporting. Survey reports of health services use from nonspousal relatives are more consistent with Medicare claims than spousal proxies and self respondents.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Other 3 11%
Student > Bachelor 2 7%
Student > Master 2 7%
Student > Postgraduate 2 7%
Other 4 15%
Unknown 9 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 7 26%
Social Sciences 4 15%
Nursing and Health Professions 3 11%
Veterinary Science and Veterinary Medicine 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 June 2015.
All research outputs
#19,985,639
of 24,558,777 outputs
Outputs from Health Services Research
#2,237
of 2,471 outputs
Outputs of similar age
#198,406
of 271,139 outputs
Outputs of similar age from Health Services Research
#18
of 21 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,471 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 271,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.