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RWE 101 – What is the Difference Between an IRB and a REC?

RWE 101 – What is the Difference Between an IRB and a REC?

An Institutional Review Board (IRB) and a Research Ethics Committee (REC) are two different types of bodies that are responsible for ensuring that research involving human subjects is conducted in an ethical and responsible manner. While the terms are often used interchangeably, there are some differences between an IRB and a REC.

In the United States, an IRB is a committee that is established by an institution, such as a university or hospital, to review and approve research protocols that involve human subjects. The IRB is responsible for ensuring that the study is designed and conducted in an ethical manner, that the risks to participants are minimized, and that the potential benefits of the study outweigh any potential harms. The IRB also monitors ongoing studies to ensure that they continue to meet ethical and safety standards.

In other countries, such as the United Kingdom, a Research Ethics Committee (REC) may have a similar role to an IRB. RECs are independent committees that review research proposals to ensure that they meet ethical and legal requirements, and that they are designed in a way that respects the rights and welfare of human participants. RECs may also provide ongoing monitoring and review of ongoing studies.

While there are some differences in the way that IRBs and RECs are structured and operate, their overall purpose is the same: to ensure that research involving human subjects is conducted in an ethical and responsible manner. Both IRBs and RECs may require researchers to submit detailed study protocols and obtain informed consent from study participants, and both may monitor ongoing studies to ensure that they continue to meet ethical and safety standards.

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RWE 101 – What is the Difference Between an IRB and a REC?2023-08-07T22:43:57+00:00

RWE 101 – Do I Need IRB Approval for My Observational Study?

RWE 101 – Do I Need IRB Approval for My Observational Study?

In general, observational studies that involve human subjects require Institutional Review Board (IRB) approval to ensure that the study is conducted in an ethical manner and that the rights and welfare of study participants are protected. This applies to both clinical trials and observational studies, including those using real-world evidence (RWE).

IRB approval is required because observational studies may involve the collection of personal or sensitive information from study participants, or the implementation of interventions or procedures that may pose risks to participants. IRBs review study protocols to ensure that the study design is scientifically sound, that the risks to participants are minimized, and that the potential benefits of the study outweigh any potential harms.

However, there are some exceptions to this requirement for IRB approval. For example, if the RWE study uses de-identified data and does not involve any interventions or interactions with human subjects, IRB approval may not be required. Additionally, certain types of RWE studies may be exempt from IRB review under certain circumstances, such as studies that use existing data and do not involve the collection of new data from human subjects.

It is important to note that the specific requirements for IRB approval may vary by country or region, and by the specific study design and research question. Therefore, it is important to consult with local regulations and guidelines, as well as with an IRB or ethics committee, to determine whether IRB approval is required for a specific observational study using RWE.

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RWE 101 – Do I Need IRB Approval for My Observational Study?2023-08-07T22:42:37+00:00

RWE 101 – The Evolution of Real World Evidence Regulations

RWE 101 – The Evolution of Real World Evidence Regulations

Real-world evidence (RWE) has become an increasingly important source of data for regulatory decision-making in healthcare. The evolution of RWE regulations can be traced back to the late 1990s, when the US Food and Drug Administration (FDA) began to encourage the use of observational studies, such as registries and natural history studies, to supplement clinical trial data in the evaluation of medical products.

In 2011, the FDA launched the Sentinel Initiative, a program that uses electronic health records and other healthcare data sources to monitor the safety of medical products in real time. This initiative paved the way for the use of RWE in regulatory decision-making, and led to the development of guidelines and frameworks for the use of RWE in drug development and regulatory decision-making.

In 2016, the 21st Century Cures Act was signed into law in the US, which included provisions to support the use of RWE in regulatory decision-making. The Act directed the FDA to establish a program to evaluate the potential use of RWE to support drug approvals, and to issue guidance on the use of RWE in regulatory decision-making.

In 2018, the FDA issued its first guidance on the use of RWE to support drug approvals, which outlined the types of RWE that could be used, the study designs that could be employed, and the factors that would be considered in the evaluation of RWE. The guidance also emphasized the importance of ensuring the quality and reliability of RWE, and the need for transparent reporting and validation of RWE studies.

Since then, regulatory agencies around the world have continued to develop guidelines and frameworks for the use of RWE in regulatory decision-making. For example, the European Medicines Agency (EMA) has established a framework for the use of RWE in the evaluation of medicines, which includes the use of RWE to support marketing authorizations and post-authorization safety monitoring.

Overall, the evolution of RWE regulations reflects the growing recognition of the value of real-world data in healthcare decision-making, and the need for guidelines and frameworks to ensure the quality and reliability of RWE studies.

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RWE 101 – The Evolution of Real World Evidence Regulations2023-08-07T22:41:24+00:00

RWE 101 – Is Real World Evidence a Replacement for Clinical Trials?

RWE 101 – Is Real World Evidence a Replacement for Clinical Trials?

Real world evidence (RWE) is not a replacement for clinical trials. Clinical trials are considered the gold standard for assessing the safety and efficacy of medical treatments because they are designed to control for various factors that could influence the results, such as confounding variables and bias. In contrast, RWE is based on observations and data collected from real-world settings, where there may be many confounding factors that can affect the outcomes.

However, RWE can complement clinical trials by providing additional insights into the effectiveness and safety of medical treatments in real-world settings. RWE can help to identify potential safety concerns, as well as provide information about the effectiveness of treatments in patient populations that may not have been included in the clinical trials.

Furthermore, RWE can also help to inform the design of future clinical trials by providing information about the natural history of diseases and the characteristics of patient populations. RWE can also help to identify potential subgroups of patients that may benefit more from certain treatments.

In summary, RWE is not a replacement for clinical trials, but it can provide valuable complementary information to help inform clinical decision-making and optimize the use of medical treatments.

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RWE 101 – Is Real World Evidence a Replacement for Clinical Trials?2023-08-07T22:40:10+00:00

RWE 101 – How Robust is RWE?

RWE 101 – How Robust is RWE?

Real world evidence (RWE) is evidence that is collected outside of traditional randomized controlled trials (RCTs), such as observational studies and patient registries. While RWE can provide valuable insights into the effectiveness and safety of medical treatments in real-world settings, its robustness can vary depending on a number of factors.

One important factor to consider is the quality of the data sources used to generate RWE. RWE that is based on high-quality, comprehensive data sources such as electronic health records (EHRs) or administrative claims databases may be more robust than RWE that is based on smaller or less comprehensive data sources. Additionally, RWE that is collected using standardized protocols and methods may be more robust than RWE that is collected in an ad hoc or inconsistent manner.

Another important factor to consider is the potential for bias in RWE. Observational studies and other forms of RWE are subject to a number of biases, such as selection bias and confounding, that can affect the accuracy of their findings. While methods such as propensity score matching and sensitivity analyses can help to mitigate these biases, it is important to be aware of their potential impact on the robustness of RWE.

Ultimately, the robustness of RWE will depend on a number of factors, including the quality of the data sources, the methods used to collect and analyze the data, and the potential for bias. While RWE can provide valuable insights into the real-world effectiveness and safety of medical treatments, it should be interpreted with caution and in the context of other available evidence.

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RWE 101 – How Robust is RWE?2023-08-07T22:39:01+00:00

RWE 101 – What is the Connection between Real World Data (RWD) and Real World Evidence (RWE)?

RWE 101 – 4 Potential Uses for Improving Drug Development

Real world data (RWD) refers to any data that is generated outside of a clinical trial setting, such as data collected from electronic health records (EHRs), claims data, and data from wearables and mobile devices. Real world evidence (RWE), on the other hand, is the evidence that is derived from the analysis of RWD, and is used to inform decisions about healthcare interventions.

In other words, RWE is the result of the analysis of RWD in order to generate evidence that can be used to support decision-making in healthcare. RWE is increasingly being used to complement traditional clinical trial data, as it allows for a broader understanding of the effectiveness and safety of treatments in real-world settings, beyond the controlled environment of clinical trials.

For example, RWE can be used to assess the effectiveness of a new drug in a real-world population, by analyzing the outcomes of patients who have received the drug outside of a clinical trial. This can provide valuable insights into the drug’s real-world performance, and help inform clinical practice and regulatory decisions.

Overall, the connection between real-world data and real-world evidence is that RWE is the result of the analysis of RWD, and is used to generate evidence that can be used to inform decisions about healthcare interventions.

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RWE 101 – What is the Connection between Real World Data (RWD) and Real World Evidence (RWE)?2023-08-07T22:37:34+00:00

RWE 101 – The Role of RWE in the Context of Digital Health

RWE 101 – The Role of RWE in the Context of Digital Health

Digital health refers to the use of digital technologies, such as mobile devices, wearables, and health apps, to improve healthcare delivery, patient outcomes, and population health. Real-world evidence (RWE), on the other hand, refers to data generated from real-world settings, including electronic health records, claims data, patient-generated data, and data from wearable devices, among others.

In the context of digital health, RWE plays a crucial role in demonstrating the value and effectiveness of digital health interventions. For instance, RWE can be used to evaluate the impact of a mobile health app on patient outcomes, such as improved medication adherence or reduced hospital readmissions. RWE can also be used to identify patient populations that may benefit the most from digital health interventions, as well as to assess the feasibility and scalability of such interventions in real-world settings.

Furthermore, RWE can inform regulatory decision-making around digital health products, such as the approval and reimbursement of digital health interventions. For example, the US Food and Drug Administration (FDA) has established a framework for the use of RWE in regulatory decision-making, which includes the use of RWE to support the approval of digital health products.

Overall, digital health and RWE are closely intertwined, with RWE serving as a key component in the development, evaluation, and implementation of digital health interventions.

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RWE 101 – The Role of RWE in the Context of Digital Health2023-08-07T22:36:18+00:00

RWE 101 – Purpose of Real World Evidence

RWE 101 – Purpose of Real World Evidence

The purpose of real-world evidence (RWE) is to provide insights into the safety, effectiveness, and value of medical products and interventions outside of the controlled environment of clinical trials. RWE is generated by collecting data from various sources, such as electronic health records, claims data, patient-generated data, and social media.

RWE is increasingly being used by healthcare stakeholders, such as regulatory agencies, payers, providers, and patients, to make informed decisions about healthcare products and interventions. For example, regulatory agencies may use RWE to supplement the evidence from clinical trials and to evaluate the safety and effectiveness of medical products in real-world settings. Payers may use RWE to make coverage and reimbursement decisions based on the value of medical products and interventions. Providers may use RWE to inform clinical decision-making and improve patient outcomes. Patients may use RWE to make more informed decisions about their own healthcare.

Overall, RWE can provide a more complete picture of the benefits and risks of medical products and interventions in real-world settings, which can lead to better healthcare decision-making and ultimately improve patient outcomes.

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RWE 101 – Purpose of Real World Evidence2023-08-07T22:34:53+00:00

RWE 101 – 4 Potential Uses for Improving Drug Development

RWE 101 – 4 Potential Uses for Improving Drug Development

Real world evidence (RWE) refers to data collected outside the context of traditional clinical trials, such as observational studies, registries, and electronic health records. RWE can provide valuable insights into the safety, effectiveness, and real-world use of drugs, and has the potential to transform drug development.

Some of the opportunities of real world evidence in drug development include:

1. Improved patient recruitment: RWE can help identify patient populations that are typically underrepresented in clinical trials, such as elderly patients, patients with multiple comorbidities, and those with rare diseases. This can help improve patient recruitment and enable more representative clinical trials.
2. Enhance clinical trial design: RWE can help inform the design of clinical trials, for example, by identifying appropriate endpoints, understanding patient demographics, and identifying potential confounding factors that need to be accounted for.
Identify safety concerns: RWE can help identify safety concerns that may not have been detected in clinical trials, especially those related to long-term use or rare adverse events. This can help improve post-marketing surveillance and ensure that drugs are used safely in the real world.
3. Better understanding of effectiveness: RWE can provide insights into the effectiveness of drugs in the real world, including how drugs are used in combination with other treatments, and how patient outcomes vary across different subpopulations.
4. Accelerate drug development: By leveraging RWE, drug development timelines can be accelerated as fewer resources are required for clinical trials, making it easier to conduct larger and more complex studies. Additionally, RWE can help optimize the design of clinical trials, reducing the likelihood of failed trials and resulting in faster regulatory approvals.

In summary, real world evidence has the potential to improve drug development in a number of ways, including patient recruitment, clinical trial design, safety monitoring, and accelerating drug development timelines. By leveraging RWE, drug developers can gain a better understanding of how drugs work in the real world, which can ultimately improve patient outcomes.

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RWE 101 – 4 Potential Uses for Improving Drug Development2023-08-07T22:31:56+00:00

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
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