Observational PMCF Study | Retrospective & Prospective Methods
Observational Studies

Observational PMCF Study

Master prospective and retrospective methods for post-market clinical follow-up under EU MDR using real-world evidence.

Schedule Your Consultation

Definition as per ISO 14155:2020

Definition as per ISO 14155:2020 Annex I.4.4

"Clinical investigation that draws inferences about the possible effect of an intervention on subjects, but the investigator has not assigned subjects into intervention groups and has not made any attempts to collect variables beyond those available burden to the subject."

In a Prospective PMCF Study

The assignment to an exposure/treatment was already made by the physician and is the basis for the inclusion of the population of interest into the clinical investigation. After the subject signed the informed consent form, medical history, treatment and outcome data are collected from that point forward.

The start of the study is defined as the time the clinical investigation plan (CIP) for the specific questions to be answered by the clinical investigations is initiated. Observational clinical investigations might be another way to generate Real-World Evidence (RWE) relevant to effectiveness determinations. Therefore, the RWE Program will also consider the evaluation of observational clinical studies using Real-World Data (RWD) to support product effectiveness determinations.

Retrospective Observational PMCF Study

Retrospective observational PMCF studies, or cohort reviews, use data already collected by the institution and documented in medical records of subjects meeting specified exposure criteria.

Data Privacy Considerations

Depending on pseudonymisation versus anonymisation of the data, the subjects need to sign an informed consent form (ICF, Art. 6 GDPR) or be informed of the use of their pseudonymized data (Art. 14 GDPR). Clause 26 of the GDPR states that it does not apply for processing of anonymous information.

The difference between anonymisation and pseudonymisation lies in the traceability of personal data:

  • Pseudonymized (encrypted): Personal data where all information that allows direct conclusions to be drawn about a person's identity is replaced by a code (e.g., a number) or made unrecognizable. The simplest indicator would be the use of a Subject Identification Log (SI-Log).
  • Anonymized data: Cannot be traced back to a person (no SI-Log).

Advantages and Challenges

The advantage of setting up a retrospective observational clinical investigation is being less prone to patchy subject compliance than patient surveys but remains susceptible to positive selection bias unless the methodology prevents that. Eliminating bias entirely from retrospective reviews is challenging, requiring strict controls on data collection methods.

Regulatory Acceptance

Regulatory bodies will need to see evidence of stringent bias control methods in order for the data generated to be accepted as valid.

5 Tips to Implementing a Valid Retrospective Medical Device PMCF Study

1

Draft a Protocol

Develop a comprehensive protocol with the support of a scientific committee to ensure methodological rigor and regulatory alignment.

2

Propose a Study Design

Design your study to be consistent with the research questions identified and regulatory expectations for your device.

3

Collect Good Quality Data

Ensure robust data collection methods with strict controls to minimize bias and maintain data integrity throughout the study.

4

Integrate Patient-Reported Outcomes

Include patient perspectives and experiences through validated outcome measures to strengthen clinical evidence.

5

Guarantee Data Transparency

Ensure full data transparency and privacy compliance with GDPR and other regulatory requirements throughout the study.

Limitations and When to Choose a Retrospective PMCF Study

Implementing a retrospective study requires the sponsor to have identified the centres that host the clinical data needed. The willingness of the investigator to be part of the study and the absence of competitors running studies simultaneously in the same centres are critical factors.

GDPR and Data Infrastructure Requirements

After the implementation of GDPR in Europe, it is necessary to have a secure and compliant electronic Case Report Form (eCRF) and data centre with HDS (Hébergeurs de Données de Santé) certification to host health data.

Feasibility Assessment

When considering a retrospective study, it is recommended to implement a feasibility study in one centre to evaluate if the study design is adequate to the research question. For example, for vascular prostheses, long-term safety evidence requires follow-up data over three years. If the sponsor is looking to generate evidence of long-term safety using a retrospective study, knowing that long-term data follow-up will not exist in the hospital data warehouse, this becomes problematic. In practice, the protocol post-operation on follow-up for vascular prostheses is limited to three months if there is no serious complication.

Data Quality and Statistical Power

Another limitation is the quality of the data and the data gaps you might identify at the end of the research, which will reduce the quality of the study and the statistical power. Additionally, the site and population need to be representative to limit the biases of the study. If one site includes more than 50% of patients compared to the other centres, the quality and the evidence will be impacted.

Current Frameworks and Guidance Documents on RWE and PROs

Regulatory Authority Guidance Document Focus Area
European Medicines Agency (EMA) Guideline on Registry-Based Studies (Sep 2020) Focuses on studies based on disease or condition registries to examine the use, safety and effectiveness of medicines. Outlines regulatory considerations for establishment and management of patient registries.
EMA Use of Patient Disease Registries (Nov 2018) Discusses methodological and operational aspects of patient disease registries and registry studies for regulatory purposes.
MHRA (UK) Guidance on Real-World Data in Clinical Studies Provides guidance on the use of real-world data in clinical studies to support regulatory decisions. Focus on medicines with applicable principles for devices.
MHRA RCT Using Real-World Data Aimed at sponsors planning to conduct an RCT using RWD for medicinal products. Some applicable principles for devices.
FDA (USA) Submitting Documents Using RWD and RWE (May 2019) Encourages applicants using RWD/RWE to provide information in a simple, uniform format for regulatory submissions.
FDA Rare Diseases: Natural History Studies (Mar 2019) Describes the broad potential uses of natural history studies in all phases of drug development for rare diseases, with practical frameworks for conduct.
FDA Framework for FDA's RWE Program (Dec 2018) Clarifies definitions and establishes a 3-part approach for evaluating RWE: fit for use, adequate scientific evidence, and FDA requirements compliance.
FDA Use of RWE to Support Regulatory Decision-Making for Medical Devices (Aug 2017) Clarifies how FDA evaluates real-world data to determine sufficiency for generating real-world evidence for medical device regulatory decisions.
FDA Use of Electronic Health Record Data (Jul 2018) Assists sponsors and clinical investigators on the use of electronic health record data in FDA-regulated clinical investigations.
Health Canada Framework: Optimizing RWE (April 2019) Invites industry submissions using high-quality RWE for expanded indications, rare diseases, and unfeasible or unethical clinical trials.
Health Canada RWD/E Quality Throughout Product Life Cycle (Mar 2019) Provides overarching principles for generating real-world evidence consistent with regulatory standards, including protocol development guidance.
Health Canada RWE Strategy for Medical Device Life Cycle (Mar 2020) Sets out a strategy to improve accessibility, affordability and appropriate use of medical devices through optimisation of RWE across the device life cycle.

Need Expert Guidance on Observational PMCF Studies?

Our team of regulatory and clinical experts can help you design and implement a valid observational PMCF study that meets Notified Body expectations and supports your regulatory success.

Schedule Your Free Consultation

Key Takeaways

  • Observational PMCF studies draw inferences about intervention effects without assigning subjects to intervention groups (ISO 14155:2020)
  • Prospective observational studies collect data after informed consent, based on physician-assigned treatment
  • Retrospective observational studies use existing medical record data from subjects meeting specified exposure criteria
  • Real-world evidence from observational studies supports product effectiveness determinations under EU MDR
  • GDPR compliance requires secure eCRF systems and HDS-certified data centres for health data hosting
  • Pseudonymisation vs. anonymisation determines whether informed consent or data notification is required
  • Retrospective studies are less prone to compliance issues than surveys but susceptible to positive selection bias
  • Regulatory bodies require stringent bias control methods for retrospective data to be accepted as valid
  • Feasibility studies in single centres help evaluate study design adequacy before full implementation
  • Data quality and statistical power are limited by data gaps identified during retrospective analysis
  • Site and population representation must be balanced to minimize study bias (no single site >50% of patients)
  • Long-term follow-up data availability in hospital systems may not support retrospective safety evidence collection
  • Scientific committee support is essential for developing robust study protocols
  • Patient-reported outcome measures strengthen clinical evidence in observational studies
  • Data transparency and privacy compliance are critical throughout the study lifecycle
  • EMA, MHRA, FDA, and Health Canada all provide guidance on RWE and registry-based studies
  • Observational studies rank as Rank 3

Reforming Clinical Evaluation of Medical Devices in Europe