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A qualitative study of clinician perceptions regarding the potential role for digital health interventions for the management of COPD.

Authors :
Slevin, Patrick
Kessie, Threase
Cullen, John
Butler, Marcus W.
Donnelly, Seamas C.
Caulfield, Brian
Source :
Health Informatics Journal. Jan-Mar2021, Vol. 27 Issue 1, p1-15. 15p.
Publication Year :
2021

Abstract

Effective self-management of chronic obstructive pulmonary disease (COPD) can lead to increased patient control and reduced health care costs. However, both patients and healthcare professionals encounter significant challenges. Digital health interventions, such as smart oximeters and COPD self-management applications, promise to enhance the management of COPD, yet, there is little evidence to support their use and user-experience issues are still common. Understanding the needs of healthcare professionals is central for increasing adoption and engagement with digital health interventions but little is known about their perceptions of digital health interventions in COPD. This paper explored the perceptions of healthcare professionals regarding the potential role for DHI in the management of COPD. Snowball sampling was used to recruit the participants (n = 32). Each participant underwent a semi-structured interview. Using NVivo 12 software, thematic analysis was completed. Healthcare professionals perceive digital health interventions providing several potential benefits to the management of COPD including the capture of patient status indicators during the interappointment period, providing new patient data to support the consultation process and perceived digital health interventions as a potential means to improve patient engagement. The findings offer new insights regarding potential future use-cases for digital health interventions in COPD, which can help ease user-experience issues as they align with the needs of healthcare professionals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14604582
Volume :
27
Issue :
1
Database :
Academic Search Index
Journal :
Health Informatics Journal
Publication Type :
Academic Journal
Accession number :
150395764
Full Text :
https://doi.org/10.1177/1460458221994888