A Guide to Wearables in Decentralized Clinical Trials
- Start with the research question and choose measurements that fit it.
- Depending on the protocol, combine wearable data, questionnaires, and laboratory measurements.
- Plan for missing data and explain what the study can—and cannot—show.
This guide is from Reputable Health. Reputable Health designs and runs clinical studies for health and wellness brands and ingredient manufacturers, and wearables are part of many of our decentralized studies. Wearables can help research teams collect measurements while participants go about their daily lives. Their value depends on the research question, the device, and how the study handles data quality. A wearable reading is one part of a study, not proof on its own that a product works.
For brands planning research, start with the outcome you need to evaluate. Depending on the protocol, research can combine wearable data, participant questionnaires, and laboratory measurements.
Who runs decentralized studies like this?
Reputable Health designs and runs clinical studies, from real-world wearable studies to IRB-approved trials, for health and wellness brands and ingredient manufacturers. We handle protocol design, ethics review when a study needs it, recruitment and data collection through our platform and wearable integrations, then deliver a full clinical study report. See how our clinical research works.
What should a wearable-enabled study measure?
Choose measurements because they answer the study question, rather than because a device makes them available. The following examples are planning considerations, not a prescribed protocol or promised result.
| Research question | Possible measurements | What to decide before launch |
|---|---|---|
| Does the intervention affect sleep? | Device-derived sleep estimates, sleep diaries, and an appropriate questionnaire. | Which sleep outcome matters, whether the device is suitable for it, and which nights meet the analysis rules. |
| Does activity change during the study? | Device-derived activity measures and participant-reported context. | How to distinguish a change in behavior from incomplete device wear or missing recordings. |
| Does the intervention affect a laboratory marker? | Protocol-specified laboratory measurements, with wearable or questionnaire data where relevant. | Sample collection timing, the assay, and how the result relates to the primary research question. |
| How do participants experience the intervention? | Questionnaires, diaries, and records of product use. | Which instrument fits the question, when it is completed, and how missing responses are handled. |
Choose technology that fits the research question
FDA guidance for remote data collection in medical-product investigations emphasizes selecting digital health technology that is fit for its intended research use. Verification, validation, usability, and the participant population matter. A familiar device name is not enough to establish suitability for a particular endpoint. Read the FDA guidance.
Ask which measurements the study can access, what evidence supports their use, and whether the proposed participants can use the technology as intended. Document relevant device and software versions. Avoid treating a consumer wellness score as interchangeable with a clinical outcome.
Plan for incomplete data and participant support
Before enrollment, agree on device setup, charging, syncing, troubleshooting, and participant support. Specify the rules for usable recordings and missing data in the protocol and analysis plan. There is no single wear-time threshold that this guide can recommend for every study.
Remote collection does not guarantee uninterrupted data. The study team should plan how to identify gaps, document their causes where possible, and report how they affect interpretation.
For more detail, see how missing data is addressed in a study-specific analysis plan.
Combine measurements without overstating the findings
Wearable readings, questionnaires, and laboratory results answer different questions. A study plan should explain how each contributes to the outcome being evaluated. Specify the primary outcome and analysis before reviewing results, and describe the comparison group or baseline approach.
A change during a study does not, by itself, establish that the intervention caused it. Interpretation depends on the design, data quality, analysis, and limitations. Report inconclusive findings and missing data alongside any observed changes.
Study-planning example: a sleep research question
Illustrative planning example only. This is not a completed Reputable Health study, a recommended protocol, or a prediction of results.
Suppose a wellness brand wants to evaluate whether a product affects sleep in a defined adult population. Before recruiting participants, the research team would agree on the question, primary outcome, study duration, sample-size rationale, and appropriate comparison. Randomization and blinding would be considered where appropriate to the design.
Give each measurement a clear job
- Wearable data: consider a device-derived sleep measure only after reviewing whether the device and measurement are suitable for the intended outcome and participants. Define the recording window and what counts as a usable night.
- Questionnaires and diaries: select an appropriate instrument to capture the participant's experience of sleep, with a completion schedule and recall period that match the planned assessment windows.
- Laboratory measurements: include a test only if a separate, justified biological question requires it. Specify the marker, assay, collection conditions, and timing in advance. A sleep question does not automatically require lab work.
Connect the records and plan for gaps
Link the sources using the study participant identifier and defined assessment periods. If a wearable recording is missing but a questionnaire is complete, keep those facts distinct: missing sensor data is not zero sleep, and a questionnaire does not automatically replace it. The analysis plan would specify which records contribute to each outcome, how gaps are handled, and how the assumptions are checked.
Decide what the final report must explain
Report the planned comparison, the number of participants contributing usable data to each analysis, missing information, uncertainty, and limitations. Device estimates and participant reports may agree, disagree, or show no clear change. Report those findings separately rather than selecting only the favorable result. A change from baseline alone would not establish that the product caused it.
Read our clinical research methodology and evidence guide for the principles behind these planning decisions.
Questions to ask your research partner
- Which study design fits our research question?
- Why are these measurements appropriate for our participants and intended outcome?
- How will wearable, questionnaire, and laboratory data be connected?
- What happens if a participant cannot use the device or stops syncing?
- Who handles ethics review, consent, participant support, and data management?
- What results, documentation, and limitations will the final report include?
Plan your study with Reputable Health
Reputable Health offers clinical research services for wellness brands and ingredient manufacturers. Bring your product, intended participants, and research question. Our team can discuss the study scope and which measurements should be considered for your protocol.
Explore Reputable Health’s clinical research platform to see how wearable measurements, participant questionnaires, and laboratory measurements can fit into a study.
Discuss your study with Reputable Health
Frequently asked questions
Does every decentralized study need wearables?
No. Choose remote and site-based activities around the research question and participant needs. A wearable should have a defined role in the protocol.
Can wearables replace questionnaires and laboratory measurements?
Do not assume they are substitutes. Decide which combination addresses the outcome, and explain the role and limits of each measurement.
Does using a wearable make a study's findings regulatory-grade?
That label cannot be inferred from device use alone. Discuss the intended use of the evidence and the requirements that apply to the specific study with qualified clinical and regulatory advisers.