| Literature DB >> 30217235 |
Angelo Antonini1,2, Giovanni Gentile2, Manuela Giglio2, Andrea Marcante1,2, Heather Gage3, Morro M L Touray4, Dimitrios I Fotiadis5, Dimitris Gatsios5, Spyridon Konitsiotis6, Lada Timotijevic7, Bernadette Egan7, Charo Hodgkins7, Roberta Biundo2, Clelia Pellicano8,9.
Abstract
BACKGROUND: Parkinson's disease is a degenerative neurological condition causing multiple motor and non-motor symptoms that have a serious adverse effect on quality of life. Management is problematic due to the variable and fluctuating nature of symptoms, often hourly and daily. The PD_Manager mHealth platform aims to provide a continuous feed of data on symptoms to improve clinical understanding of the status of any individual patient and inform care planning. The objectives of this trial are to (1) assess patient (and family carer) perspectives of PD_Manager regarding comfort, acceptability and ease of use; (2) assess clinician views about the utility of the data generated by PD_Manager for clinical decision making and the acceptability of the system in clinical practice. METHODS/Entities:
Keywords: Acceptability; Cost consequence analysis; Parkinson’s disease; Utility; mHealth
Mesh:
Year: 2018 PMID: 30217235 PMCID: PMC6138904 DOI: 10.1186/s13063-018-2767-4
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Fig. 1SPIRIT figure of enrolment, interventions and follow-up assessments
Fig. 2PD_Manager schematic diagram of trial process
Summary of data collection at each stage
| Participant group | Data capture at each stage | |||
|---|---|---|---|---|
| Baseline | During intervention, PD_Manager group from devices | During intervention, control group symptom diaries | Post-intervention, 2 week follow-up | |
| Patient | Age, gender, education, disease duration, disease stage (Hoehn and Yahr score), main symptoms (tremor, bradykinesia, rigidity, dyskinesia), more affected side, UPDRS scores, current medications, comorbidities, views on technology | Motor symptoms (gait, freezing of gait, bradykinesia, hypokinesia, dyskinesia, exercise); non-motor symptoms (cognition, sleep, mood) | All symptom domains captured through the PD_Manager intervention were self reported in a motor diary [ | Interviews on acceptability and ease of use of PD_Manager or symptom diary; usefulness of the education section of PD_Manager |
| Caregiver | Age, gender, education, views on technology | No information is collected from caregivers in the PD_Manager group | No information is collected from clinicians in the symptom diary group | Interviews on acceptability and ease of use of PD_Manager or symptom diary; usefulness of the education section of PD_Manager |
| Outcome: Zarit Caregiver Burden Scale (using short version) | Outcome: Zarit Caregiver Burden Scale (using short version) | |||
| Clinician | Qualifications, current role, number of Parkinson’s patients/week, length of time in practice, views on technology | No information is collected from clinicians in the PD_Manager group | No information is collected from clinicians in the symptom diary group | Usefulness and value of the information gathered (PD_Manager and symptom diary) for influencing management decisions; changes in management, referrals made |
EQ-5D-5L EuroQoL-5Dimenions-5Levels, generic health-related quality of life scale [18–20], PDQ-8 Parkinson’s Disease Questionnaire-8, disease specific measure of health-related quality of life [21, 22], NMSS Non-Motor Symptoms Scale [23], UPDRS Unified Parkinson’s Disease Rating Scale [11]
Fig. 3Devices used, body placement and preview of motor data collected