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An Automated Telephone Monitoring System to Identify Patients with Cirrhosis at Risk of Re-hospitalization

Overview of attention for article published in Digestive Diseases and Sciences, June 2015
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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3 X users

Citations

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28 Dimensions

Readers on

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38 Mendeley
Title
An Automated Telephone Monitoring System to Identify Patients with Cirrhosis at Risk of Re-hospitalization
Published in
Digestive Diseases and Sciences, June 2015
DOI 10.1007/s10620-015-3744-3
Pubmed ID
Authors

Mary Thomson, Michael Volk, Hyungjin Myra Kim, John D. Piette

Abstract

Hospitalizations for cirrhosis are costly and associated with increased mortality. Disease management outside of clinic, such as the use of interactive voice response (IVR) calls, may identify signs to prevent hospitalization. The aim of this study was to investigate whether IVR monitoring can predict hospitalization and mortality in cirrhosis. One hundred patients with decompensated cirrhosis were enrolled in this observational study, of which 79 patients were included in the final analysis. Participants were followed until death, transplant, or last clinical follow-up (range 7-874 days). Analysis focused on potential predictors identified during the first month of IVR calls: presence of jaundice, abdominal/leg swelling, weakness, paracentesis requirement, medication changes, and weight change. The primary outcome was time to first hospital admission; secondary outcomes included hospitalization and time to death. Potential predictors with a p value <0.1 were further analyzed after adjustment for covariates (Model for End-stage Liver Disease score, serum sodium, number of medications). Twenty (25 %) patients died, and 49 (62 %) were hospitalized at least once. Fifty-six (70 %) patients completed >80 % of their IVR calls. After adjustment for covariates, weakness was associated with an increased risk of first hospitalization (HR 2.14, CI 1.13-4.05, p = 0.02) and hospitalization rate (HR 2.1, CI 1.0-4.3, p = 0.048). Weight change of ≥five pounds (2.3 kg) in a week increased the rate of hospitalization by 2.7 (CI 1.0-7.1, p = 0.045). No variable predicted death after covariate adjustment. These results suggest IVR calls can be used to predict hospitalization in cirrhosis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 11%
Student > Doctoral Student 4 11%
Student > Ph. D. Student 4 11%
Other 3 8%
Student > Master 3 8%
Other 9 24%
Unknown 11 29%
Readers by discipline Count As %
Medicine and Dentistry 11 29%
Psychology 4 11%
Engineering 3 8%
Nursing and Health Professions 3 8%
Social Sciences 2 5%
Other 2 5%
Unknown 13 34%
Attention Score in Context

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 19 February 2016.
All research outputs
#15,002,375
of 23,854,458 outputs
Outputs from Digestive Diseases and Sciences
#2,701
of 4,304 outputs
Outputs of similar age
#139,682
of 267,543 outputs
Outputs of similar age from Digestive Diseases and Sciences
#21
of 63 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,304 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 35th percentile – i.e., 35% 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 267,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 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 66% of its contemporaries.