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RWR Insights | Regulatory Considerations for Non-Interventional Study Protocols

RWR CONTEXT

Both RWE and clinical trials play critical roles in healthcare research. While clinical trials provide the highest level of evidence for determining a treatment’s efficacy, RWE studies complement this by providing evidence on real-world effectiveness and long-term safety.

Real-world evidence (RWE) study protocols and clinical trial protocols both outline the design and conduct of a study. However, they are distinctly different in several ways given the differences in objectives, methodologies, settings, and populations involved in clinical trials versus RWE studies.

The HARPER framework is a valuable resource for researchers and clinicians who are planning or conducting RWE studies. The framework can help to ensure that protocols are well-designed and will produce high-quality evidence.

Real-world evidence (RWE) study protocols and clinical trial protocols both outline the design and conduct of a study. However, they are distinctly different in several ways given the differences in objectives, methodologies, settings, and populations involved in clinical trials versus RWE studies.

[1] Objectives: The main objective of a clinical trial is to evaluate the efficacy and safety of a medical intervention in a controlled environment, usually by comparing it to a placebo or standard treatment. On the other hand, RWE studies typically aim to understand how an intervention works in routine clinical practice, often focusing on outcomes such as long-term effectiveness, side-effects, quality of life, and cost-effectiveness.

[2] Study Design and Methodology: Clinical trials, especially phase III, are predominantly randomized controlled trials (RCTs) where subjects are randomly assigned to the intervention or control group to minimise bias. They follow a pre-specified protocol and are conducted under tightly controlled conditions. RWE studies, on the other hand, are typically observational in nature and analyse data from sources like electronic health records (EHRs), claims databases, or patient registries.

[3] Setting: Clinical trials are conducted in specific, controlled environments and follow a strict protocol. RWE studies are conducted in routine clinical practice settings, making them more representative of ‘real-world’ conditions.

[4] Population: Clinical trials often have strict inclusion and exclusion criteria, resulting in a relatively homogeneous group of participants. This can limit the generalisability of the results. RWE studies, in contrast, involve broader, more diverse populations (including those often excluded from trials like the elderly, people with multiple co-morbidities, etc.), making the findings more generalisable to everyday practice.

[5] Data Collection: In clinical trials, data collection is rigorous, detailed, and specific to the trial endpoints. Adverse events are actively sought and documented. RWE studies primarily rely on existing data sources such as EHRs, patient registries, or insurance claims data. This can potentially lead to incomplete or inaccurate data.

[6] Intervention: In clinical trials, the intervention (dosage, frequency, duration, etc.) is pre-specified and strictly monitored. In RWE studies, interventions reflect routine clinical practice and may vary widely.

[7] Follow-up: Clinical trials have a defined follow-up period while RWE studies can often provide information on long-term outcomes, given they use data from routine clinical practice over longer periods.

Despite these differences, both RWE and clinical trials play critical roles in healthcare research. While clinical trials provide the highest level of evidence for determining a treatment’s efficacy, RWE studies complement this by providing evidence on real-world effectiveness and long-term safety.

HARPER PROTOCOL TEMPLATE

Regulatory agencies, health technology assessors, and payers are increasingly interested in studies that make use of real-world data to inform regulatory and other policy or clinical decision-making. However, concerns over the credibility of real-world evidence studies have led to calls for more transparency on the design and conduct of RWE studies.

A joint task force between ISPE and ISPOR created a harmonized protocol template for RWE studies that evaluate a treatment effect and are intended to inform decision-making [1]. The HARPER template provides clarity, structure, and a common denominator regarding the level of operational detail, context, and rationale necessary in a protocol.

HARPER = HARmonized Protocol Template to Enhance Reproducibility of hypothesis evaluating real-world evidence studies on treatment effects

Link: https://onlinelibrary.wiley.com/doi/10.1002/pds.5507 

Four protocol templates were identified for RWE studies: 

      1. The European Medicines Agency’s (EMA) Guideline on Good Pharmacovigilance Practices (GVP) Module VIII – post-authorisations safety studies (PASS) template,
      2. ISPE’s guidelines for good pharmacoepidemiology practice (ISPE GPP) section on protocol development, 
      3. The National Evaluation System for health Technology (NEST) protocol guidance, and
      4. The Structured Template and Reporting Tool for Real World Evidence (STaRT-RWE).

The HARPER protocol contains nine sections, including a title page, abstract, and a table for amendments and updates. Each section includes structured free text, a structured table, or a figure, and a free-text section to lay out context and rationale for scientific choices.

The study design diagram shows the context and rationale for the study setting, time 0 (index date), inclusion criteria, exclusion criteria, variables, exposure, outcome, follow up, covariates, sensitivity analyses, data sources, metadata, and software used in the study.

The data sources section includes a free text component followed by a structured table for specifying data sources. The data sources section can also include a detailed evaluation of the fitness-for-purpose of data source options.

Overall, the HARPER framework is a valuable resource for researchers and clinicians who are planning or conducting RWE studies. The framework can help to ensure that protocols are well-designed and will produce high-quality evidence.

References

1. Wang, SV, Pottegård, A, Crown, W, et al. HARmonized Protocol Template to Enhance Reproducibility of hypothesis evaluating real-world evidence studies on treatment effects: A good practices report of a joint ISPE/ISPOR task force. Pharmacoepidemiol Drug Saf. 2023; 32( 1): 44- 55. doi:10.1002/pds.5507

Link: https://onlinelibrary.wiley.com/doi/10.1002/pds.5507 

RWR Insights | Regulatory Considerations for Non-Interventional Study Protocols2023-08-04T13:06:33+00:00

RWR Insights | GDPR and the Secondary Use of Existing Data

RWR CONTEXT

GDPR is a facilitator of the secondary use of large healthcare data in the EU.  However, there are currently limitations and challenges at a national level due to differences in the interpretation, for example, of the requirements for explicit consent.

Further work is needed on issues regarding compatible processing of RWD (secondary use of existing data) in the absence of consent or where data were gathered to form a patient record (e.g., processing compatible with the original purpose).

Secondary use of health data is the processing of health data for purposes other than the initial purposes for which the data were collected. This approach is becoming increasingly popular in real-world research (research that uses real world data to generate real world evidence) because of the large amounts of data that are available through various sources, (e.g., electronic health records, administrative databases, and social media), and the availability of AI-powered analytical tools [1].

In many cases, secondary data analysis can provide valuable insights and answer research questions that would otherwise be difficult or impossible to answer with primary data collection. For example, researchers can use existing data to study disease trends, evaluate the effectiveness of health interventions, and identify risk factors for various health outcomes.

In the world of clinical research we often refer to secondary data as ‘real world data (RWD)’ to distinguish it from data generated through clinical trials.  As per FDA guidance, real-world data are data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources. Examples of RWD include data derived from electronic health records, medical claims data, data from product or disease registries, and data gathered from other sources (such as digital health technologies) that can inform on health status [2].

Traditionally, existing healthcare data are collected from medical records and processed to provide insights in to the safety and effectiveness of drugs etc. In Europe, we call these types of studies retrospective non-interventional studies.  These are protocol-defined studies that require local regulatory approvals and can only collect data that was collected before the start of the study.  This self-limits the usefulness of the research, especially given that the healthcare data will continue to be generated.  For these reason, the emphasis is moving from ‘retrospective’ to ‘secondary use of existing data’ which can be both retrospective and prospective.  The research is still non-interventional (or observational) because there are no healthcare interventions that impact the clinical management of the patient.

Under the General Data Protection Regulation (GDPR – Regulation EU/2016/676), personal data (especially health and genetic data – Article 9) must be collected and processed lawfully, fairly, and transparently, and individuals have the right to be informed about how their data is being used. This means that researchers should obtain explicit and informed consent from individuals to use their personal data for research purposes and the data should be pseudonymized or anonymized to protect individuals’ privacy [3].  

The requirement for explicit informed consent from each individual can become problematic when the intention is to process (analyse) very large healthcare datasets, such as electronic health records in the context of scientific research.  This is where GDPR becomes a facilitator, rather than the hindrance it was thought it would be when it was first implemented.

One of the key ways that the GDPR supports the secondary use of health data for research is through the concept of “legitimate interests”. Article 6(1)(f) of the GDPR allows for the processing of personal data if it is necessary for the legitimate interests of the data controller or a third party, provided that those interests do not override the fundamental rights and freedoms of the data subject. Scientific research can be considered a legitimate interest, provided that appropriate safeguards are in place to protect individuals’ rights and freedoms.  In addition, the GDPR includes provisions that specifically address the use of health data for scientific research. For example, Article 9(2)(j) allows for the processing of special categories of personal data, such as health data, for scientific research purposes, provided that appropriate safeguards are in place.  Whereas, Article 89(1) provides for further processing of existing data for scientific research when appropriate safeguards such as pseudonymisation, no longer permits the identification of data subjects [3].

GDPR indicates that personal data should be gathered for an identifiable purpose or purposes and not further processed for incompatible purposes. Therefore, processing for purposes that are compatible with the purpose of the original gathering and processing of the data are permitted. In addition, the GDPR goes further to indicate that further processing for research purposes are compatible with the original purpose. In the case of the GDPR, this is very positive for RWD processing. However, it is not without difficulties (Section 4.4.4 of the draft CIOMS Real-World Data and Real-World Evidence in Regulatory Decision Making)[4]. 

Currently, in the context of scientific research, GDPR (especially Article 89(1) is interpreted and implemented differently at the national level.  As per recent European Commission reports, more harmonisation of the implementation of GDPR is required at the national Member State level [5] [6].  

See visual example below.

This is particularly relevant to the proposed European Health Data Space and the creation of a federated network of health data hubs that will facilitate access to secondary health data, especially for research purposes (HealthData@EU) [7].

As per the recent draft CIOMS report, there is a strong argument that the processing of RWD only works where data subjects have trust and confidence in the institutions and individuals who process data that relate to them, and therefore a strong personal data protection regime is essential to the acceptance and operation of RWD processing. As noted above, further work is needed on issues regarding compatible processing of RWD (secondary use of existing data) in the absence of consent or where data were gathered to form a patient record (Chapter 5 of the draft CIOMS Real-World Data and Real-World Evidence in Regulatory Decision Making)[4].

References

1. World Health Organisation (WHO) – Meeting on Secondary Use of Health Data (13 December 2022)

Link: https://www.who.int/europe/news-room/events/item/2022/12/13/default-calendar/meeting-on-secondary-use-of-health-data

2. FDA – Real-World Evidence

Link: https://www.fda.gov/science-research/science-and-research-special-topics/real-world-evidence 

3. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)

Link: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A02016R0679-20160504&qid=1687865819117

4. Real-World Data and Real-World Evidence in Regulatory Decision Making. CIOMS Working Group report. Geneva, Switzerland: Council for International Organizations of Medical Sciences (CIOMS), 2023

Link: https://cioms.ch/wp-content/uploads/2020/03/CIOMS-WG-XIII_6June2023_Draft-report-for-comment-1.pdf 

5. European Commission, Consumers, Health, Agriculture and Food Executive Agency, Hansen, J., Wilson, P., Verhoeven, E., et al., Assessment of the EU Member States’ rules on health data in the light of GDPR, Publications Office, 2021

Link: https://data.europa.eu/doi/10.2818/546193 

6. Study on the appropriate safeguards under Article 89(1) GDPR for the processing of personal data for scientific research  – Final Report  – EDPS/2019/02-08 (August 2021)

Link: https://edpb.europa.eu/system/files/2022-01/legalstudy_on_the_appropriate_safeguards_89.1.pdf 

7. European Commission – Proposal for a regulation – The European Health Data Space (May 2022)

Link: https://health.ec.europa.eu/publications/proposal-regulation-european-health-data-space_en  

5. Astellas – U.S. Food and Drug Administration Expands Indication for PROGRAF® for Prevention of Organ Rejection in Adult and Pediatric Lung Transplant Recipients (20 July 2021)
Link: https://newsroom.astellas.us/2021-07-20-U-S-Food-and-Drug-Administration-Expands-Indication-for-PROGRAF-R-for-Prevention-of-Organ-Rejection-in-Adult-and-Pediatric-Lung-Transplant-Recipients?_ga=2.73980498.1553566477.1627827053-1302835671.1627827053

RWR Insights | GDPR and the Secondary Use of Existing Data2023-06-29T09:38:22+00:00

GLOBAL| CIOMS Publishes Draft Report on Real-World Data and Real-World Evidence in Regulatory Decision Making

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GLOBAL| CIOMS Publishes Draft Report on Real-World Data and Real-World Evidence in Regulatory Decision Making2023-06-29T09:00:09+00:00

EU | New Commission Implementing Regulation (EU) 2023/1194 on Transitional Provisions for Products without an Intended Medical Purpose

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EU | New Commission Implementing Regulation (EU) 2023/1194 on Transitional Provisions for Products without an Intended Medical Purpose2023-06-29T08:51:20+00:00

EU | Commission Guidance on the Content and Structure of the Summary of the Clinical Investigation Report

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EU | Commission Guidance on the Content and Structure of the Summary of the Clinical Investigation Report2023-06-29T08:40:11+00:00

CHINA | New Measures for Ethical Review of Life Sciences and Medical Research Involving Humans

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CHINA | New Measures for Ethical Review of Life Sciences and Medical Research Involving Humans2023-06-29T08:17:53+00:00

CHINA | New Implementation Rules for Regulations on the Administration of Human Genetic Resources

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CHINA | New Implementation Rules for Regulations on the Administration of Human Genetic Resources2023-06-29T08:08:54+00:00
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