Findings
COA-based endpoints should reflect meaningful patient health aspects and support clear treatment effect inferences.
Selection of endpoints requires a well-supported rationale, including evidence of their importance to patients.
Use of MSD and MSR approaches enhances the interpretation of treatment effects by linking COA scores to meaningful patient experiences. Proper anchors (e.g., global impression of severity) are essential for validating these approaches.
Frequency and timing of COA data collection must align with disease characteristics and study objectives.
Adjustments for potential practice effects and assistive device use are critical for robust outcome measurement.
Proper handling of missing data and sensitivity analyses ensure valid conclusions from COA-based endpoints.
Continuous, ordinal, and dichotomized endpoints require tailored statistical methods for analysis.
Early engagement with the FDA is crucial for aligning study designs and COA approaches with regulatory expectations.

Recommendations
Engage patients and caregivers early to identify meaningful endpoints and assess potential barriers to COA use.
Use anchor-based methods to validate COA scores and define meaningful thresholds for interpretation.
Develop and pilot test study protocols to ensure COA reliability, usability, and alignment with regulatory requirements.
Implement strategies to reduce participant burden, such as concise COA instruments and patient-friendly data collection methods.
Submit comprehensive documentation, including endpoint justification and scoring rationale, to FDA for feedback before trial initiation.

Regulatory Considerations
Endpoints must be supported by evidence of their fit-for-purpose status and alignment with the trial’s objectives.
COAs used in digital or adaptive formats must meet FDA’s standards for usability and data integrity.
Trials with nonrandomized designs require robust measures to mitigate bias in COA-based endpoint analysis.
Thresholds for MSD or MSR must be prespecified and justified with empirical evidence.
Sponsors must follow FDA guidance for submitting COA-based data, ensuring compliance with electronic data standards.

Findings
Digital health technologies can provide more granular, continuous, and sensitive measures compared to traditional clinical assessments.
Digital measurements can detect treatment responses earlier and with smaller sample sizes than traditional methods.
There is a lack of standardized endpoints and insufficient data to contextualize findings from digital measurements.

Recommendations
Utilize digital health technologies to increase research efficiency and reduce trial participation burden.
Develop frameworks for regulatory acceptance of digital endpoints.
Continue research to establish meaningful changes9 and standardize endpoints based on digital measurements.

Regulatory Considerations
Establish evidentiary criteria for using digital measurements as surrogate endpoints.
Address the need for regulatory frameworks to support the use of digital health technologies in clinical trials.

Findings
Meaningful outcome measures should align with patient priorities and clinical relevance, emphasizing aspects of health that impact daily life.
Digital tools must demonstrate value over traditional methods in capturing outcomes, especially in remote or decentralized contexts.
Questions about therapeutic benefit and endpoint sensitivity must address how these measures reflect patient improvements or disease progression.
Stakeholder collaboration is critical to selecting and validating concepts of interest and corresponding outcome measures.
Challenges include ensuring data privacy, operational feasibility, and addressing potential gaps in endpoint validation.

Recommendations
Engage patients and caregivers to identify meaningful aspects of health and concepts of interest relevant to their daily lives and goals.
Collaborate with clinicians to determine the clinical validity and utility of proposed measures and tools for endpoint development.
Ensure that DHTs selected for measurement add value beyond traditional methods and are feasible for clinical and real-world use.
Incorporate payer perspectives to align outcome measures with cost-benefit evaluations and reimbursement criteria.
Use the question bank as a flexible guide, adapting it to the specific needs and context of individual clinical trials.

Regulatory Considerations
Ensure endpoints and their measures meet regulatory standards for clinical relevance and sensitivity to therapeutic changes.
Align outcome measures with accepted core sets (e.g., COMET database) and validate them through stakeholder engagement.
Address concerns related to data privacy, scalability, and operational feasibility in the use of DHTs for endpoint development.
Plan for regulatory engagement to demonstrate the robustness of digitally-derived endpoints in pivotal clinical trials.
Provide evidence to support the incorporation of novel endpoints into regulatory and payer frameworks for decision-making.

Findings
Patient-centeredness is a key criterion, with higher importance assigned to endpoints identified by patients as meaningful.
The tool includes predefined weighting criteria to ensure that endpoints addressing unmet needs are prioritized.
A structured rating scale facilitates the comparison of novel endpoints across different therapeutic areas.
Digital measurement technologies, such as wearables and ePROs, are increasingly considered viable novel endpoints.
The tool provides a standardized approach to endpoint selection but requires user input to tailor scores to specific trial needs.

Recommendations
Clinical researchers should use the tool to systematically evaluate novel endpoints before incorporating them into study designs.
Weighting criteria should be adapted based on the specific therapeutic area and patient population to reflect real-world priorities.
Endpoint selection should incorporate regulatory and scientific considerations to ensure alignment with study objectives.
Digital health technologies should be leveraged where appropriate to support novel endpoint validation and implementation.
Stakeholder engagement, including patient advocacy groups, should be integrated into the endpoint selection process.

Regulatory Considerations
Novel endpoints should align with FDA and regulatory body expectations for evidence generation and validation.
The tool does not replace regulatory guidance but can serve as a structured framework for early-phase endpoint assessment.
Sponsors should document endpoint selection rationale in submissions to regulatory agencies.
Digital health endpoints should comply with data integrity and privacy regulations, including HIPAA and GDPR.
Ongoing validation and post-market evidence generation may be required for novel digital endpoints used in pivotal trials.