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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bringing functional status into a big data world: Validation of national Veterans Affairs functional status data
|
|---|---|
| Published in |
PLOS ONE, June 2017
|
| DOI | 10.1371/journal.pone.0178726 |
| Pubmed ID | |
| Authors |
Rebecca T. Brown, Kiya D. Komaiko, Ying Shi, Kathy Z. Fung, W. John Boscardin, Alvin Au-Yeung, Gary Tarasovsky, Riya Jacob, Michael A. Steinman |
| Abstract |
The ability to perform basic daily activities ("functional status") is key to older adults' quality of life and strongly predicts health outcomes. However, data on functional status are seldom collected during routine clinical care in a way that makes them available for clinical use and research. To validate functional status data that Veterans Affairs (VA) medical centers recently started collecting during routine clinical care, compared to the same data collected in a structured research setting. Prospective validation study. Seven VA medical centers that collected complete data on 5 activities of daily living (ADLs) and 8 instrumental activities of daily living (IADLs) from older patients attending primary care appointments. Randomly selected patients aged 75 and older who had new ADL and IADL data collected during a primary care appointment (N = 252). We oversampled patients with ADL dependence and applied these sampling weights to our analyses. Telephone-based interviews using a validated measure to assess the same 5 ADLs and 8 IADLs. Mean age was 83 years, 96% were male, and 75% were white. Of 85 participants whom VA data identified as dependent in 1 or more ADLs, 74 (87%) reported being dependent by interview; of 167 whom VA data identified as independent in ADLs, 149 (89%) reported being independent. The sample-weighted sensitivity of the VA data for identifying ADL dependence was 45% (95% CI, 29%, 62%) compared to the reference standard, the specificity was 99% (95% CI, 99%, >99%), and the positive predictive value was 87% (95% CI, 79%, 93%). The weighted kappa statistic was 0.55 (95% CI, 0.41, 0.68) for the agreement between VA data and research-collected data in identifying ADL dependence. Overall agreement of VA functional status data with a reference standard was moderate, with fair sensitivity but high specificity and positive predictive value. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Student > Doctoral Student | 4 | 9% |
| Professor | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 21% |
| Nursing and Health Professions | 8 | 19% |
| Social Sciences | 4 | 9% |
| Computer Science | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 14 | 33% |
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 29 September 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from PLOS ONE
#174,910
of 195,816 outputs
Outputs of similar age
#275,569
of 316,526 outputs
Outputs of similar age from PLOS ONE
#3,766
of 4,315 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 195,816 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% 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 316,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,315 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.