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A pilot randomised controlled trial of a Telehealth intervention in patients with chronic obstructive pulmonary disease: challenges of clinician-led data collection

Overview of attention for article published in Trials, August 2014
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Citations

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Title
A pilot randomised controlled trial of a Telehealth intervention in patients with chronic obstructive pulmonary disease: challenges of clinician-led data collection
Published in
Trials, August 2014
DOI 10.1186/1745-6215-15-313
Pubmed ID
Authors

Claire L Bentley, Gail A Mountain, Jill Thompson, Deborah A Fitzsimmons, Kinga Lowrie, Stuart G Parker, Mark S Hawley

Abstract

The increasing prevalence and associated cost of treating chronic obstructive pulmonary disease (COPD) is unsustainable, and focus is needed on self-management and prevention of hospital admissions. Telehealth monitoring of patients' vital signs allows clinicians to prioritise their workload and enables patients to take more responsibility for their health. This paper reports the results of a pilot randomised controlled trial (RCT) of Telehealth-supported care within a community-based COPD supported-discharge service.

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The data shown below were collected from the profiles of 12 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Switzerland 1 <1%
Portugal 1 <1%
Canada 1 <1%
Spain 1 <1%
Unknown 199 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 15%
Researcher 25 12%
Student > Ph. D. Student 22 11%
Student > Bachelor 20 10%
Student > Doctoral Student 15 7%
Other 35 17%
Unknown 58 28%
Readers by discipline Count As %
Medicine and Dentistry 54 26%
Nursing and Health Professions 35 17%
Social Sciences 9 4%
Psychology 9 4%
Computer Science 7 3%
Other 34 16%
Unknown 59 29%