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. Author manuscript; available in PMC: 2020 May 1.
Published in final edited form as: Mov Disord. 2019 Mar 22;34(5):657–663. doi: 10.1002/mds.27671

Table 1.

User-based considerations for choosing data collection methods with mobile health technologies

Patient/Caregiver Healthcare provider Researcher
Number of sensors Minimal number of sensors easy-to-access location/s Number of sensors locations based on clinical purpose Number location of sensors based on targeted accuracy
Sensor burden Minimal patient caregiver burden over a long time Minimal clinician burden over a long time Potentially greater burden in patients clinicians over a short time
Frequency Less frequent use to enhance adherence during data capture Frequency depending on use of data More frequent use to ensure, e.g., high signal to noise ratio
Targets 1–2 domains at low- frequency intervals, based on identified problems Possibly 1–2 domains at periodic intervals, according to patient’s clinician’s goals Likely multiple domains at frequent intervals, according to research objectives
User friendliness Easy to use, ready (ideally 24/7) access to helpdesk to facilitate compliance minimal manual skill level required to operate the system. Easy to use in clinical practice; helpdesk to troubleshoot range of potential problems. Facilitate patient compliance by reviewing data. Usability compliance – less of an issue for fully supervised sessions; will have to ensure ease of use to facilitate patient compliance for unsupervised monitoring
Supervised vs. unsupervised Unsupervised data collection ensured by friendly, acceptable device to user Reliance only on unsupervised data collection Reliance on supervised unsupervised data collection
Desirable technical aspects Long battery life, low charging, easy or automatic uploading downloading, small size, low weight, water-proof. Low level of expertise to use underst output. Battery life, need for charging, size, weight less critical for supervised /short duration sessions. High level of expertise to analyze.
Validation Must show correlation with global patient-centered scales for the appropriate domains. Monitoring of motor fluctuations medication titration. May not strongly correlate with the total or even specific items of such gold stards as the UPDRS. Observation or video analysis may be needed.