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The SENSOR Study: A mixed-methods study of self-management checks to predict exacerbations of pseudomonas aeruginosa in patients with long-term respiratory conditions

The SENSOR Study: A mixed-methods study of self-management checks to predict exacerbations of pseudomonas aeruginosa in patients with long-term respiratory conditions
The SENSOR Study: A mixed-methods study of self-management checks to predict exacerbations of pseudomonas aeruginosa in patients with long-term respiratory conditions
Background: There are an estimated three million people in the United Kingdom with chronic obstructive pulmonary disease (COPD), and the incidence of bronchiectasis is estimated at around 0.1% but is more common in COPD and severe asthma. Both COPD and bronchiectasis are characterized by exacerbations in which bacteria play a central role. Pseudomonas aeruginosa is isolated from sputum samples from 4% to 15% of adults with COPD and is more likely to be isolated from patients with severe disease. Earlier detection of exacerbations may improve morbidity and mortality by expediting treatment. Aseptika Ltd has developed a system for patients to self-monitor important physiological measurements including levels of physical activity, peak flow, forced expiratory volume (FEV1), and biomarkers for P aeruginosa in sputum.Objective: We aim to test this system in 20 participants with P aeruginosa colonization and 10 controls with Haemophilus influenzae.Methods: We plan to recruit 30 adult participants with COPD or non-CF bronchiectasis who have cultured P aeruginosa or H influenzae during an exacerbation in the last 6 months. They must produce sputum on most days and should have been stable for 4 weeks prior to entry. Daily data collected will include symptoms, health care usage, medication, weight, FEV1, physical activity level, blood pressure, oxygen saturation, and temperature. Sputum and urine samples will be provided daily. These data will be analyzed to assess predictive value in detecting upcoming exacerbations. Qualitative data will be gathered through self-administered questionnaires and semistructured interviews to gather information on participant coping and their use of the technology involved.Results: Recruitment has been completed and results from the study should be available at the end of 2017.Conclusions: The SENSOR study aims to test a home-monitoring system in people with chronic airway infection and is currently underway.
COPD, bronchiectasis, pseudomonas, self-management
1929-0748
Roberts, Claire
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Jones, Thomas Lewelyn
1f27e8b0-3c7a-481e-b7f4-4300d4c0645c
Gunatilake, Samal
a197fae4-7704-4992-b248-f985e4942aec
Storrar, Will
7776e86a-f32a-4137-b951-7cb8c2d3761a
Elliott, Scott
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Glaysher, Sharon
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Green, Ben
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Rule, Steven
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Fogg, Carole
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Dewey, Ann
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Auton, Kevin
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Chauhan, Anoop
5063e659-a5cd-4a12-86cf-02e9a769fd02
Roberts, Claire
3f1c1680-edf4-4be1-9d9d-babf15050068
Jones, Thomas Lewelyn
1f27e8b0-3c7a-481e-b7f4-4300d4c0645c
Gunatilake, Samal
a197fae4-7704-4992-b248-f985e4942aec
Storrar, Will
7776e86a-f32a-4137-b951-7cb8c2d3761a
Elliott, Scott
b544b0be-8850-4d22-8f74-97f66809c127
Glaysher, Sharon
1434c7ea-71f3-49eb-a914-29a371cdd585
Green, Ben
9ac4853e-7155-4a96-ab23-bc3264bc4e2e
Rule, Steven
2b14ee59-b2fa-4d2b-88cc-1d7c990ca985
Fogg, Carole
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Dewey, Ann
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Auton, Kevin
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Chauhan, Anoop
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Roberts, Claire, Jones, Thomas Lewelyn, Gunatilake, Samal, Storrar, Will, Elliott, Scott, Glaysher, Sharon, Green, Ben, Rule, Steven, Fogg, Carole, Dewey, Ann, Auton, Kevin and Chauhan, Anoop (2017) The SENSOR Study: A mixed-methods study of self-management checks to predict exacerbations of pseudomonas aeruginosa in patients with long-term respiratory conditions. Journal of Medical Internet Research (JMIR) Research Protocols, 6 (5), [e89]. (doi:10.2196/resprot.6636).

Record type: Article

Abstract

Background: There are an estimated three million people in the United Kingdom with chronic obstructive pulmonary disease (COPD), and the incidence of bronchiectasis is estimated at around 0.1% but is more common in COPD and severe asthma. Both COPD and bronchiectasis are characterized by exacerbations in which bacteria play a central role. Pseudomonas aeruginosa is isolated from sputum samples from 4% to 15% of adults with COPD and is more likely to be isolated from patients with severe disease. Earlier detection of exacerbations may improve morbidity and mortality by expediting treatment. Aseptika Ltd has developed a system for patients to self-monitor important physiological measurements including levels of physical activity, peak flow, forced expiratory volume (FEV1), and biomarkers for P aeruginosa in sputum.Objective: We aim to test this system in 20 participants with P aeruginosa colonization and 10 controls with Haemophilus influenzae.Methods: We plan to recruit 30 adult participants with COPD or non-CF bronchiectasis who have cultured P aeruginosa or H influenzae during an exacerbation in the last 6 months. They must produce sputum on most days and should have been stable for 4 weeks prior to entry. Daily data collected will include symptoms, health care usage, medication, weight, FEV1, physical activity level, blood pressure, oxygen saturation, and temperature. Sputum and urine samples will be provided daily. These data will be analyzed to assess predictive value in detecting upcoming exacerbations. Qualitative data will be gathered through self-administered questionnaires and semistructured interviews to gather information on participant coping and their use of the technology involved.Results: Recruitment has been completed and results from the study should be available at the end of 2017.Conclusions: The SENSOR study aims to test a home-monitoring system in people with chronic airway infection and is currently underway.

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Accepted/In Press date: 20 March 2017
Published date: 19 May 2017
Keywords: COPD, bronchiectasis, pseudomonas, self-management

Identifiers

Local EPrints ID: 437043
URI: http://eprints.soton.ac.uk/id/eprint/437043
ISSN: 1929-0748
PURE UUID: c952242c-9e5c-44ee-a106-b92adaaa4385
ORCID for Carole Fogg: ORCID iD orcid.org/0000-0002-3000-6185

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Date deposited: 15 Jan 2020 17:39
Last modified: 17 Mar 2024 03:56

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Contributors

Author: Claire Roberts
Author: Thomas Lewelyn Jones
Author: Samal Gunatilake
Author: Will Storrar
Author: Scott Elliott
Author: Sharon Glaysher
Author: Ben Green
Author: Steven Rule
Author: Carole Fogg ORCID iD
Author: Ann Dewey
Author: Kevin Auton
Author: Anoop Chauhan

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