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Comparing clinician descriptions of frailty and geriatric syndromes using electronic health records: a retrospective cohort study

Overview of attention for article published in BMC Geriatrics, October 2017
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2 tweeters

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45 Dimensions

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154 Mendeley
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Title
Comparing clinician descriptions of frailty and geriatric syndromes using electronic health records: a retrospective cohort study
Published in
BMC Geriatrics, October 2017
DOI 10.1186/s12877-017-0645-7
Pubmed ID
Authors

Laura J. Anzaldi, Ashwini Davison, Cynthia M. Boyd, Bruce Leff, Hadi Kharrazi

Abstract

Geriatric syndromes, including frailty, are common in older adults and associated with adverse outcomes. We compared patients described in clinical notes as "frail" to other older adults with respect to geriatric syndrome burden and healthcare utilization. We conducted a retrospective cohort study on 18,341 Medicare Advantage enrollees aged 65+ (members of a large nonprofit medical group in Massachusetts), analyzing up to three years of administrative claims and structured and unstructured electronic health record (EHR) data. We determined the presence of ten geriatric syndromes (falls, malnutrition, dementia, severe urinary control issues, absence of fecal control, visual impairment, walking difficulty, pressure ulcers, lack of social support, and weight loss) from claims and EHR data, and the presence of frailty descriptions in clinical notes with a pattern-matching natural language processing (NLP) algorithm. Of the 18,341 patients, we found that 2202 (12%) were described as "frail" in clinical notes. "Frail" patients were older (82.3 ± 6.8 vs 75.9 ± 5.9, p < .001) and had higher rates of healthcare utilization, including number of inpatient hospitalizations and emergency department visits, than the rest of the population (p < .001). "Frail" patients had on average 4.85 ± 1.72 of the ten geriatric syndromes studied, while non-frail patients had 2.35 ± 1.71 (p = .013). Falls, walking difficulty, malnutrition, weight loss, lack of social support and dementia were more highly correlated with frailty descriptions. The most common geriatric syndrome pattern among "frail" patients was a combination of walking difficulty, lack of social support, falls, and weight loss. Patients identified as "frail" by providers in clinical notes have higher rates of healthcare utilization and more geriatric syndromes than other patients. Certain geriatric syndromes were more highly correlated with descriptions of frailty than others.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 16%
Student > Ph. D. Student 19 12%
Researcher 16 10%
Student > Doctoral Student 15 10%
Student > Bachelor 10 6%
Other 26 17%
Unknown 44 29%
Readers by discipline Count As %
Medicine and Dentistry 46 30%
Nursing and Health Professions 23 15%
Computer Science 10 6%
Psychology 6 4%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 15 10%
Unknown 52 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 October 2017.
All research outputs
#12,879,443
of 19,557,897 outputs
Outputs from BMC Geriatrics
#1,861
of 2,397 outputs
Outputs of similar age
#202,577
of 336,109 outputs
Outputs of similar age from BMC Geriatrics
#176
of 229 outputs
Altmetric has tracked 19,557,897 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 22nd percentile – i.e., 22% 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 336,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.