How do you collect functional outcome measures at home or in a decentralized trial?
Remote functional assessment replaces the site visit with participant-side capture — video recorded by the participant, a wearable, or a connected device — under a protocol that fixes the task, the environment, and the instructions. FDA guidance on digital health technologies for remote data acquisition covers selection, verification, validation, usability evaluation, risk management, and data retention.
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What changes when the clinic is removed
A functional measure administered at a site is standardized largely by the site: a known corridor, a known chair, a trained coordinator delivering the instruction the same way each time. Moving the assessment home removes all three at once.
- The environment becomes variable — available walking distance, flooring, lighting, obstacles, and chair height differ by household.
- Instruction delivery shifts from a coordinator to the interface, so the wording and prompting have to carry it.
- Supervision is reduced, which affects both protocol adherence and safety considerations for participants at risk of falling.
- Identity and context assurance become explicit design problems rather than implicit consequences of the visit.
The gain is a measurement taken in the setting where the participant actually functions, and at a frequency a visit schedule could not support.
What FDA guidance expects
The 2023 guidance on digital health technologies for remote data acquisition in clinical investigations sets out recommendations covering the selection of technologies suitable for the investigation, their description in regulatory submissions, verification and validation, use of the resulting data for trial endpoints, identification and management of associated risks, retention and protection of the data collected, and the respective roles of sponsors and investigators.
Usability evaluation carries particular weight in a remote setting, because it supports the accuracy, completeness, and consistency of measurements and ongoing participant engagement over the duration of the investigation. Findings from it feed back into the instructions for use and the training provided to participants and trial personnel.
The guidance also addresses the use of participants’ own devices, and the handling of technology updates and other changes during an investigation — both of which are routine realities in a decentralized design and both of which affect data comparability.
Controlling the remote environment
- Specify the minimum physical requirements explicitly — clear distance, surface, chair type — and confirm them at enrolment rather than assuming them.
- Provide a spatial reference for any camera-based measure, so image measurements can be converted to real-world distances in an unknown room.
- Script the instruction in the interface so pace and task wording do not vary between participants or sessions.
- Capture the setup conditions alongside the measurement, so a later deviation is detectable in the data rather than invisible.
- Prefer tasks whose requirements are modest. A sit-to-stand needs only a chair; a 10-meter walk needs a corridor many homes do not have.
- Keep the processing centralized, so a participant-side capture does not become a participant-side measurement.
Remote capture and remote measurement are different things. Capturing raw data at home and deriving the measurement centrally preserves one processing pipeline across all participants; deriving values on the participant’s device does not.
What remote assessment suits
Remote functional assessment is strongest where frequency matters more than precision — tracking a trajectory between visits, detecting change earlier than a quarterly visit schedule would, or reducing participant burden in a population for whom travel is itself a barrier.
It is weakest where the measure depends on conditions a household cannot guarantee. Hybrid designs, keeping the anchor measurement on site and using remote capture for the intervals between, avoid forcing the choice.
Where CurveAssure fits
CurveResearch supports three configurations: an in-clinic research kit, an at-home assessment kit for decentralized and hybrid protocols where the study design allows, and digital-only access with no hardware at all, covering sit-to-stand, upper limb motor, patient-reported outcomes, and case report forms. Capture happens through the browser-based portal and processing happens centrally.
CurveResearch is for research use only, and is not for use in clinical diagnostic procedures or as a basis for clinical decision-making. At-home assessment for clinical use is not available.
References
- U.S. Food and Drug Administration. Digital health technologies for remote data acquisition in clinical investigations (guidance for industry). FDA, 2023. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/digital-health-technologies-remote-data-acquisition-clinical-investigations
- U.S. Food and Drug Administration. Patient-focused drug development: incorporating clinical outcome assessments into endpoints for regulatory decision-making. FDA draft guidance, 2023. https://www.fda.gov/media/166830/download
- Uhlrich SD, Falisse A, Kidziński Ł, et al.. OpenCap: human movement dynamics from smartphone videos. PLOS Computational Biology, 2023. https://doi.org/10.1371/journal.pcbi.1011462
- Stenum J, Rossi C, Roemmich RT. Two-dimensional video-based analysis of human gait using pose estimation. PLOS Computational Biology, 2021. https://doi.org/10.1371/journal.pcbi.1008935