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Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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20 X users
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1 Wikipedia page

Citations

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83 Dimensions

Readers on

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81 Mendeley
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Title
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study
Published in
BMC Medical Informatics and Decision Making, June 2015
DOI 10.1186/s12911-015-0171-5
Pubmed ID
Authors

Maxine Hardinge, Heather Rutter, Carmelo Velardo, Syed Ahmar Shah, Veronika Williams, Lionel Tarassenko, Andrew Farmer

Abstract

Self-management strategies have the potential to support patients with chronic obstructive pulmonary disease (COPD). Telehealth interventions may have a role in delivering this support along with the opportunity to monitor symptoms and physiological variables. This paper reports findings from a six-month, clinical, cohort study of COPD patients' use of a mobile telehealth based (mHealth) application and how individually determined alerts in oxygen saturation levels, pulse rate and symptoms scores related to patient self-initiated treatment for exacerbations. The development of the mHealth intervention involved a patient focus group and multidisciplinary team of researchers, engineers and clinicians. Individual data thresholds to set alerts were determined, and the relationship to exacerbations, defined by the initiation of stand-by medications, was measured. The sample comprised 18 patients (age range of 50-85 years) with varied levels of computer skills. Patients identified no difficulties in using the mHealth application and used all functions available. 40 % of exacerbations had an alert signal during the three days prior to a patient starting medication. Patients were able to use the mHealth application to support self- management, including monitoring of clinical data. Within three months, 95 % of symptom reporting sessions were completed in less than 100 s. Home based, unassisted, daily use of the mHealth platform is feasible and acceptable to people with COPD for reporting daily symptoms and medicine use, and to measure physiological variables such as pulse rate and oxygen saturation. These findings provide evidence for integrating telehealth interventions with clinical care pathways to support self-management in COPD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 16%
Student > Master 12 15%
Researcher 11 14%
Student > Bachelor 6 7%
Student > Doctoral Student 4 5%
Other 10 12%
Unknown 25 31%
Readers by discipline Count As %
Nursing and Health Professions 18 22%
Medicine and Dentistry 10 12%
Computer Science 5 6%
Social Sciences 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 13 16%
Unknown 26 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 13 May 2022.
All research outputs
#2,146,723
of 24,344,498 outputs
Outputs from BMC Medical Informatics and Decision Making
#125
of 2,075 outputs
Outputs of similar age
#27,094
of 268,593 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 40 outputs
Altmetric has tracked 24,344,498 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% of its peers.
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 268,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.