Patient-centricity in medical device clinical trials: buzzword or real shift?

Picture of Maurice Bagot D'arc

Maurice Bagot D'arc

ENT surgeon, head and neck surgeon, specialized in ENT oncology, legal compensation for bodily injury, and pharmaceutical marketing, with over 30 years of experience in Medical Affairs serving the healthcare industries and 15 years of surgical practice.

Patient-centricity has become a core theme across the medical device industry.
Startups, manufacturers, sponsors, and regulatory authorities all claim to “put the patient at the center.”
But in clinical trials involving medical devices (MDs), one question remains: is this truly a transformation, or just a marketing statement?

The answer is nuanced.
In medical devices, patient centricity is not theoretical — it directly influences clinical performance, data quality, and user safety.
The connection between real-world use and clinical outcomes reveals whether patient centricity is genuine or superficial.

When patient-centricity becomes a clinical necessity

Unlike drugs, whose efficacy does not depend on patient manipulation, most medical devices require human interaction — setup, adherence to use protocols, daily management, or understanding of alerts.

This means that patient behavior becomes a clinical variable in its own right.

Connected devices illustrate this perfectly: cardiac sensors, respiratory devices, glucose monitors, or postoperative monitoring platforms all rely on consistent patient engagement.
When patients find a device complex, intrusive, or time-consuming, usage drops rapidly.

A meta-analysis published in the Journal of Medical Internet Research (JMIR) found that the complexity of digital health solutions is among the leading causes of patient dropout — with average discontinuation rates reaching 43%, depending on the target population.

In other words, a technically efficient innovation can fail simply because it was not designed with the user — the patient — in mind.

JMIR – Patient adherence in digital health interventions

Connected devices and telemonitoring: the real-world test of patient centricity

France’s fast-growing telemonitoring programs offer an ideal testing ground.
In theory, the concept is simple: enable closer follow-up, reduce risks, and ease the burden on healthcare facilities.
In practice, digital health solutions only work if patients adopt them.

According to the Haute Autorité de Santé (HAS):

“Digital tools should facilitate professional practice, coordination, and continuity of care.
Medical telemonitoring aims to improve quality of life by preventing complications and supporting care close to home.”

HAS – Medical telemonitoring reference framework

Here, patient centricity takes on a highly operational meaning:

  • An app that is too technical increases frustration,
  • Daily questionnaires that are too long cause disengagement,
  • Interfaces designed for professionals, not patients, slow down usage,
  • Poorly calibrated alerts create anxiety,
  • Non-accessible interfaces exclude elderly or fatigued patients.

The success of a telemonitoring program depends not only on technology but also on its ability to reduce cognitive load for the user.
This is concrete proof that patient centricity is not an optional value — it’s a determinant of clinical efficacy.

The patient journey: the backbone of true patient centricity

Patient centricity goes far beyond simplifying interfaces.
It is a comprehensive design philosophy that integrates human factors and real-life constraints into the clinical evaluation process.

A device intended for post-operative patients must consider pain, fatigue, reduced mobility, and emotional vulnerability.
A solution for chronic heart failure patients must factor in mental load and long-term motivation.

Every element of the study — protocol design, visit schedule, frequency of measures, notification clarity — should reflect real-world usability, ideally co-designed with patient partners.

Patient centricity thus becomes a methodological framework for anticipating dropouts, reducing misuse, and improving clinical data reliability.
When ignored, it can quickly undermine trial quality and patient safety.

Informed consent: the first test of patient centricity

Informed consent is more than a regulatory formality.
It is often the first interaction a participant has with a clinical investigation — and the first indicator of how truly patient-centered the sponsor is.

Yet many medical device trials still present long, technical, and legally dense consent forms, making comprehension uncertain.

A patient-centered consent document should be written in clear, accessible language, structured around the patient’s experience: what will happen, what is expected, what can be refused, and what should be monitored.
The better the patient understands, the more conscious and stable their engagement will be.

According to the World Health Organization (WHO), most adults have lower health literacy than the level typically used in regulatory materials — a major barrier to patient comprehension.

WHO – Health literacy and patient engagement

Here again, patient centricity is not a slogan — it’s a practical commitment to clarity, empathy, and inclusion.

Conclusion: patient centricity as a clinical determinant

When properly implemented, patient centricity improves study reliability, patient engagement, and device safety.
When superficial, it weakens trials, data quality, and the overall perception of the technology.

The difference lies not in words, but in design and execution: clear interfaces, readable consents, frictionless patient pathways, and tools adapted to everyday reality.
In medical devices, where real-world use determines outcomes, true innovation is both technological and human.

At BluePharm, under the leadership of Maurice Bagot d’Arc, who also chairs the Patients at the Heart of Clinical Research group within AFCROs, patient centricity is a methodological pillar.
BluePharm’s approach focuses on real-world use, helping connected device manufacturers and trial sponsors avoid common pitfalls — early dropout, incomplete data, misuse, and protocol misunderstanding.

See article : Health literacy: the hidden key to safer clinical research and better medical device use

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