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Dove Medical Press

Self-monitoring of lower leg skin temperature: accuracy of self-reported data and adherence to a cooling protocol for the prevention of venous leg ulcers

Overview of attention for article published in Patient preference and adherence, December 2015
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2 X users

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17 Mendeley
Title
Self-monitoring of lower leg skin temperature: accuracy of self-reported data and adherence to a cooling protocol for the prevention of venous leg ulcers
Published in
Patient preference and adherence, December 2015
DOI 10.2147/ppa.s91992
Pubmed ID
Authors

Teresa Kelechi, Mohan Madisetti, Martina Mueller, Mary Dooley, Margie Prentice

Abstract

For intervention studies that require the use of participant self-reports, the quality and accuracy of recorded data and variability in participant adherence rates to the treatment can cause significant outcome bias. To assess the quality and accuracy of participant documentation of daily self-monitoring of leg skin temperature, adherence to a graduated cooling treatment protocol to prevent venous leg ulcers, and the potential for bias in treatment effect in a randomized controlled trial that included a population with chronic venous disease. Individuals were randomized to a leg cooling intervention or placebo treatment group to daily self-monitor and record lower leg skin temperature over a 9-month period on monthly paper study logs. Returned study logs for the first 100 completed participants (n=54 cooling intervention, n=46 control) were reviewed for quality and accuracy. Adherence was determined from evaluating the accuracy of participant documentation. To examine potential outcome bias in treatment effect, mean between group and within group comparisons of the before and after treatment differences were conducted using an intention-to-treat (ITT) versus a modified intention-to-treat (mITT) analysis approach with an 85% accuracy cut-off rate. Data were collected in 2011-2014. Of the expected 900 study logs, 91.8% (826/900) were returned and 8.2% (74/900) were not. Non-mutually exclusive main error types in returned documentation included: 59.2% (489/826) white-outs, cross-off and/or overwrites, 34.9% (288/826) entries omitted, 29.4% (243/826) no performance of daily self-monitoring, 28.7% (237/826) no performance of the treatment intervention per the prescribed protocol regime, 26.8% (221/826) extraneous data, 8.6% (71/826) suspected fabrication, and 7.6% (63/826) questionable validity. Under ITT analysis, 38.4% (346/900) of all returned logs were <85% accurate, 25.0% (225/900) were 85%-99% accurate, and 36.6% (329/900) were 100% accurate. Mean overall participant adherence rates were: 22.0% at <85% accuracy, 53.0% at 85%-99% accuracy, and 25.0% at 100% accuracy. Under the mITT analysis, 54.0% (483/900) of returned logs were deemed adherent with ≥85% accuracy. This study found good rates of adherence. Under ITT analysis, 78.0% of participants were deemed adherent to the study protocol with ≥85% accuracy in documenting daily self-monitoring of skin temperatures in response to a topically applied experimental cooling cuff intervention for the prevention of venous leg ulcers.

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The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Other 3 18%
Student > Bachelor 3 18%
Professor 2 12%
Student > Ph. D. Student 2 12%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Nursing and Health Professions 5 29%
Medicine and Dentistry 4 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Sports and Recreations 1 6%
Engineering 1 6%
Other 0 0%
Unknown 5 29%
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 16 December 2015.
All research outputs
#14,830,048
of 22,835,198 outputs
Outputs from Patient preference and adherence
#883
of 1,600 outputs
Outputs of similar age
#215,425
of 387,566 outputs
Outputs of similar age from Patient preference and adherence
#20
of 34 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,600 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 40th percentile – i.e., 40% 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 387,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.