Introduction: Asthma control is often suboptimal, which is associated with incorrect medication use and poor asthma management by patients. Astmakompas, a digital self-management intervention, comprises a mobile app for patients, a web portal for healthcare professionals (HCP), and a wireless spirometer. Together, these components are intended to facilitate symptom monitoring, patient-HCP communication and assist in asthma-related self-management.
Objective: The pilot study primarily aims to assess the feasibility, acceptability, usability and safety of Astmakompas from patient and HCP perspectives, and secondarily to explore potential effects on asthma control, medication use, Quality of Life, self-efficacy and (in)direct costs.
Methods: A mixed-method, multi-center, pre-post study design was conducted in two Dutch hospitals, involving patients with uncontrolled asthma and four HCPs. Primary outcomes were assessed post-intervention using questionnaires and in-depth interviews. Secondary outcomes were assessed at baseline and post-intervention using questionnaires, and post-intervention using in-depth interviews.
Results: In general, the data show that Astmakompas was considered feasible, acceptable, usable and safe by both patients (= 14) and HCPs (= 4). Furthermore, qualitative data of 11 patients and all HCPs showed the importance of guidance from HCPs and tailoring of Astmakompas to care needs. Astmakompas helped patients recognise symptoms and provided valuable insights into asthma control while being easy to use. Asthma control improved from baseline (= 2.1, = 1.3) to post-intervention (= 1.3, = 1.0, (13) = 2.61; = .02).
Conclusion: Astmakompas shows promise for further implementation and research. Future randomized studies with longer evaluation periods are crucial to assess the tool's impact on asthma outcomes and workload. It is important that HCPs guide and tailor interventions to meet the patient's individual needs and circumstances.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11539187 | PMC |
http://dx.doi.org/10.1177/20552076241292391 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!