A qualitative study of clinician perceptions regarding the potential role for digital health interventions for the management of COPD.
Patrick SlevinThrease KessieJohn CullenMarcus W ButlerSeamas C DonnellyBrian CaulfieldPublished in: Health informatics journal (2021)
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.
Keyphrases
- healthcare
- chronic obstructive pulmonary disease
- public health
- lung function
- mental health
- physical activity
- health information
- human health
- primary care
- case report
- health promotion
- palliative care
- ejection fraction
- end stage renal disease
- machine learning
- big data
- risk assessment
- air pollution
- peritoneal dialysis
- data analysis
- patient reported outcomes