Adaptation and Evaluation of a Symptom-Monitoring Digital Health Intervention for Patients With Relapsed and Refractory Multiple Myeloma: Pilot Mixed-Methods Implementation Study.
Noa BiranRobin C Anthony KouyatéEmre YucelGillian E McGovernAntoinette M SchoenthalerOlivia G DurlingRashmi UnawaneAndrew SchuttSumeet PanjabiPublished in: JMIR formative research (2020)
Overall, the intervention was found to be acceptable and appropriate for patients with RRMM. Points of friction integrating the intervention into the clinic workflow were identified. Clinic staff provided recommendations for addressing these issues. Once such modifications are implemented, ePRO data from patients with RRMM could be used to inform and improve clinical research and care. This study underlines the importance of an iterative approach to implementation that includes all stakeholders in order to ensure successful adoption.
Keyphrases
- healthcare
- randomized controlled trial
- primary care
- multiple myeloma
- quality improvement
- electronic health record
- acute myeloid leukemia
- palliative care
- study protocol
- acute lymphoblastic leukemia
- magnetic resonance imaging
- diffuse large b cell lymphoma
- social media
- machine learning
- magnetic resonance
- clinical practice
- deep learning
- image quality
- patient reported