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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

EU | 11th Revision of the ENCePP Guide on Methodological Standards in Pharmacoepidemiology Published

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EU | 11th Revision of the ENCePP Guide on Methodological Standards in Pharmacoepidemiology Published2023-08-04T12:08:22+00:00
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