Many clinical trial sponsors don’t understand how decentralized clinical trials (DCTs) fit within today’s regulatory landscape. This lack of familiarity with decentralized research and regulatory approaches has created DCT hesitancy among sponsors.
Because trial methodology has changed, there’s a common myth that the rules need to be or will be re-written. In the United States, however, the Food and Drug Administration’s longstanding regulations guiding clinical trials (21 CFR 312.50 for drugs and biologics and 21 CFR 812.40 for medical devices) remain relevant, no matter the trial design. In fact, it’s not the FDA’s position to tell sponsors how to design a trial. Instead, the agency believes a trial should be built to maintain the well-being and safety of patients and the integrity of the data; whether it’s a DCT or a traditional trial that does this doesn’t matter.
While sponsors should use Good Clinical Practice (GCP) as the guiding principle when designing a decentralized clinical trial, the FDA has released some guidance particular to digital health technologies (DHTs) that is important to understand. This article intends to help sponsors interpret this guidance, as well as the current regulatory framework and what it means for decentralized clinical trials.
Read on for insights about:
Pre-COVID, technology and process initiatives to expand patient access, streamline clinical trials, and harmonize regulations were already under way. But, at that time, adoption was limited. Risk aversion among sponsors—along with a general preference for “sticking to what works”—left little room for exploration. The FDA, however, was supportive of decentralized methods before COVID-19, emphasizing the importance of efforts to “bring new innovations and advances to patients who need them faster and more efficiently.”
Below is a look at FDA actions that illustrate an openness to innovative trial methods:
FDA guidelines don’t indicate any preference or recommendation for a specific clinical trial model. Rather, the agency insists the chosen model—whether traditional, decentralized, or hybrid—adhere to good clinical practice (GCP) and minimize the risk to trial integrity and participant safety. This flexible view of clinical trial options places emphasis on the need for a holistic approach to designing and conducting trials. As Jane Miles recently commented in a MedCity News article: “The FDA isn’t treating these guidances as checklists. Rather, the agency’s goal is to spur a macro shift in clinical trials.”
Despite this macro view, the FDA does recognize some challenges to preserving data integrity and privacy when it comes to remote data capture in decentralized clinical trials. To address this, the FDA released draft guidance in December of 2021 on the use of digital health technologies (DHTs) or software-based applications within clinical trials to record electronic data on clinical outcome assessments (eCOAs), performance outcomes (ePerfOs), and patient-reported outcomes (ePROs).
In this guidance, the FDA highlights several important points that can help to de-risk DCTs:
1. Freely given informed consent should be obtained from every subject prior to clinical trial participation.
2. Sponsors and study teams must weigh anticipated benefits against risks and inconveniences.
3. Clinical trials should be scientifically sound and described in a clear, detailed protocol approved by an IRB (Institutional Review Board) or IEC (Independent Ethics Committee)
4. Trial personnel and participants must be appropriately trained and qualified.
5. The quality, integrity, and privacy of data must be maintained.
6. Interoperability of data should be safeguarded against inconsistencies.
7. Proper documentation and audit trails are required.
8. Technical support should be available and equal to technology in use.
If you’re good at reading tea leaves, the FDA has indicated areas ripe for updated guidance. Most of the guidance, though, takes aim at all clinical trials and doesn’t single out a particular study design. Of course, because DCTs are indeed clinical trials, they will likely be impacted.
1. Digital health technologies: In September 2022, the FDA issued three new final guidance documents in the digital health space—clinical decision support (CDS) software, mobile medical applications, and medical device data systems—as well as a report summarizing its findings on the Software Precertification (Pre-Cert) Pilot Program. The agency’s recent efforts signal that it’s moving toward more oversight of digital health companies. It’s worth noting that mobile medical apps used solely for research (such as DCT platforms), while falling outside of this guidance, may be subject to investigational device exemption regulations if that research involves human subjects.
2. Emergency use authorizations: In a January 31, 2023 update, the FDA highlighted that the end of the public health emergency surrounding the COVID-19 pandemic will not impact the FDA’s ability to authorize devices—including tests, treatments, and vaccines—for emergency use. However, as referenced below, it is likely that the path to accelerated approvals will be impacted going forward.
In addition, any emergency use authorizations for medical devices that were issued during the pandemic now have to seek alternate pathways and re-apply, either by the clearance or pre-market approval route.
3. Accelerated approvals: At the close of 2022, Congress gave the FDA more power over the accelerated approval program. This program allows drugs with data on predicted clinical outcomes to launch while awaiting confirmatory results from post-market trials. Congress recognized that, in many cases, drugs will stay on the market for years without this confirmatory data. The new law requires sponsors to report twice a year on post-market trials and gives the FDA power to withdraw drugs when sponsors don’t meet these requirements. In light of the new law’s passage, and an expected increase in FDA oversight, a growing number of sponsors will likely explore DCT methods for post-market trials due to their convenience and cost benefits.
4. Diversity in clinical trials: In April 2022, the FDA issued diversity plans to improve clinical trial enrollment of participants from underrepresented racial and ethnic subgroups. Decentralized clinical trials, which often use targeted social media to recruit from a broader sample of the population, have the potential to expand awareness and access to trials. Moving forward, the FDA may assess submissions based in part on the data that illustrates safety and efficacy on a diverse cohort.
The debate about the relevance of decentralization in clinical trials appears to be waning. But, the challenges of finding the right balance of site-based versus remote trial components remains. A meta-analysis of 640 Phase III trials for novel therapeutics reveals 54% of them failed. Additional analyses point to flawed study design as one of the key factors most likely to drive poor results. As sponsors seek to navigate the risk-and-reward tradeoffs in designing their studies, they can benefit from experience and advice of peers who were early adopters in the space:
1. Find a competent CRO partner with deep clinical, data science, technology, and regulatory expertise—one that’s able to interpret FDA guidance and help you to design your study for optimal efficiency and accuracy with minimal risk. Carefully weigh the tradeoffs between patient centricity (providing ease and choice) and the level of granularity needed to meet endpoints.
2. Begin discussions with regulatory bodies as early as possible. Because DCTs are still relatively new, the approval process requires transparency and embracing a learning curve on the part of all parties. Informing and educating FDA partners on intentions is key to success.
3. Do your homework. Conduct research and gather as much data as is available on similar methodologies and on any early results from internal testing. Leverage any and all available data to project outcomes. As Craig Lipset, Founder of DTRA, explains: “The industry needs to be better at predictive analytics to better understand and forecast what patients might need in the future … in order to make better and more rational use of expensive resources.”
When designing a study, sponsors should think first about “the protection of human subjects in trials and the quality and integrity of the data.” In many instances, this focus will lead sponsors to decentralized methods. If that’s the case, instead of shying away, sponsors should engage with the agency to gain its support. When you look at what the FDA has said about DCTs in the past decade, it’s clear the agency accepts clinical trial innovation when executed for the right reasons.
DCTs have the ability to reduce participant burden, increase trial diversity, produce more real-world data, and may get therapeutics to market faster. And, that’s a win for everyone involved: the patients, the sponsors, and the FDA.
Discover ways to de-risk your DCT while complying with FDA requirements.
Because trial methodology has changed, there’s a common myth that the rules need to be or will be re-written. In the United States, however, the Food and Drug Administration’s longstanding regulations guiding clinical trials (21 CFR 312.50 for drugs and biologics and 21 CFR 812.40 for medical devices) remain relevant, no matter the trial design. In fact, it’s not the FDA’s position to tell sponsors how to design a trial. Instead, the agency believes a trial should be built to maintain the well-being and safety of patients and the integrity of the data; whether it’s a DCT or a traditional trial that does this doesn’t matter.
While sponsors should use Good Clinical Practice (GCP) as the guiding principle when designing a decentralized clinical trial, the FDA has released some guidance particular to digital health technologies (DHTs) that is important to understand. This article intends to help sponsors interpret this guidance, as well as the current regulatory framework and what it means for decentralized clinical trials.
Read on for insights about:
Pre-COVID, technology and process initiatives to expand patient access, streamline clinical trials, and harmonize regulations were already under way. But, at that time, adoption was limited. Risk aversion among sponsors—along with a general preference for “sticking to what works”—left little room for exploration. The FDA, however, was supportive of decentralized methods before COVID-19, emphasizing the importance of efforts to “bring new innovations and advances to patients who need them faster and more efficiently.”
Below is a look at FDA actions that illustrate an openness to innovative trial methods:
FDA guidelines don’t indicate any preference or recommendation for a specific clinical trial model. Rather, the agency insists the chosen model—whether traditional, decentralized, or hybrid—adhere to good clinical practice (GCP) and minimize the risk to trial integrity and participant safety. This flexible view of clinical trial options places emphasis on the need for a holistic approach to designing and conducting trials. As Jane Miles recently commented in a MedCity News article: “The FDA isn’t treating these guidances as checklists. Rather, the agency’s goal is to spur a macro shift in clinical trials.”
Despite this macro view, the FDA does recognize some challenges to preserving data integrity and privacy when it comes to remote data capture in decentralized clinical trials. To address this, the FDA released draft guidance in December of 2021 on the use of digital health technologies (DHTs) or software-based applications within clinical trials to record electronic data on clinical outcome assessments (eCOAs), performance outcomes (ePerfOs), and patient-reported outcomes (ePROs).
In this guidance, the FDA highlights several important points that can help to de-risk DCTs:
1. Freely given informed consent should be obtained from every subject prior to clinical trial participation.
2. Sponsors and study teams must weigh anticipated benefits against risks and inconveniences.
3. Clinical trials should be scientifically sound and described in a clear, detailed protocol approved by an IRB (Institutional Review Board) or IEC (Independent Ethics Committee)
4. Trial personnel and participants must be appropriately trained and qualified.
5. The quality, integrity, and privacy of data must be maintained.
6. Interoperability of data should be safeguarded against inconsistencies.
7. Proper documentation and audit trails are required.
8. Technical support should be available and equal to technology in use.
If you’re good at reading tea leaves, the FDA has indicated areas ripe for updated guidance. Most of the guidance, though, takes aim at all clinical trials and doesn’t single out a particular study design. Of course, because DCTs are indeed clinical trials, they will likely be impacted.
1. Digital health technologies: In September 2022, the FDA issued three new final guidance documents in the digital health space—clinical decision support (CDS) software, mobile medical applications, and medical device data systems—as well as a report summarizing its findings on the Software Precertification (Pre-Cert) Pilot Program. The agency’s recent efforts signal that it’s moving toward more oversight of digital health companies. It’s worth noting that mobile medical apps used solely for research (such as DCT platforms), while falling outside of this guidance, may be subject to investigational device exemption regulations if that research involves human subjects.
2. Emergency use authorizations: In a January 31, 2023 update, the FDA highlighted that the end of the public health emergency surrounding the COVID-19 pandemic will not impact the FDA’s ability to authorize devices—including tests, treatments, and vaccines—for emergency use. However, as referenced below, it is likely that the path to accelerated approvals will be impacted going forward.
In addition, any emergency use authorizations for medical devices that were issued during the pandemic now have to seek alternate pathways and re-apply, either by the clearance or pre-market approval route.
3. Accelerated approvals: At the close of 2022, Congress gave the FDA more power over the accelerated approval program. This program allows drugs with data on predicted clinical outcomes to launch while awaiting confirmatory results from post-market trials. Congress recognized that, in many cases, drugs will stay on the market for years without this confirmatory data. The new law requires sponsors to report twice a year on post-market trials and gives the FDA power to withdraw drugs when sponsors don’t meet these requirements. In light of the new law’s passage, and an expected increase in FDA oversight, a growing number of sponsors will likely explore DCT methods for post-market trials due to their convenience and cost benefits.
4. Diversity in clinical trials: In April 2022, the FDA issued diversity plans to improve clinical trial enrollment of participants from underrepresented racial and ethnic subgroups. Decentralized clinical trials, which often use targeted social media to recruit from a broader sample of the population, have the potential to expand awareness and access to trials. Moving forward, the FDA may assess submissions based in part on the data that illustrates safety and efficacy on a diverse cohort.
The debate about the relevance of decentralization in clinical trials appears to be waning. But, the challenges of finding the right balance of site-based versus remote trial components remains. A meta-analysis of 640 Phase III trials for novel therapeutics reveals 54% of them failed. Additional analyses point to flawed study design as one of the key factors most likely to drive poor results. As sponsors seek to navigate the risk-and-reward tradeoffs in designing their studies, they can benefit from experience and advice of peers who were early adopters in the space:
1. Find a competent CRO partner with deep clinical, data science, technology, and regulatory expertise—one that’s able to interpret FDA guidance and help you to design your study for optimal efficiency and accuracy with minimal risk. Carefully weigh the tradeoffs between patient centricity (providing ease and choice) and the level of granularity needed to meet endpoints.
2. Begin discussions with regulatory bodies as early as possible. Because DCTs are still relatively new, the approval process requires transparency and embracing a learning curve on the part of all parties. Informing and educating FDA partners on intentions is key to success.
3. Do your homework. Conduct research and gather as much data as is available on similar methodologies and on any early results from internal testing. Leverage any and all available data to project outcomes. As Craig Lipset, Founder of DTRA, explains: “The industry needs to be better at predictive analytics to better understand and forecast what patients might need in the future … in order to make better and more rational use of expensive resources.”
When designing a study, sponsors should think first about “the protection of human subjects in trials and the quality and integrity of the data.” In many instances, this focus will lead sponsors to decentralized methods. If that’s the case, instead of shying away, sponsors should engage with the agency to gain its support. When you look at what the FDA has said about DCTs in the past decade, it’s clear the agency accepts clinical trial innovation when executed for the right reasons.
DCTs have the ability to reduce participant burden, increase trial diversity, produce more real-world data, and may get therapeutics to market faster. And, that’s a win for everyone involved: the patients, the sponsors, and the FDA.
Discover ways to de-risk your DCT while complying with FDA requirements.
Many clinical trial sponsors don’t understand how decentralized clinical trials (DCTs) fit within today’s regulatory landscape. This lack of familiarity with decentralized research and regulatory approaches has created DCT hesitancy among sponsors.
Because trial methodology has changed, there’s a common myth that the rules need to be or will be re-written. In the United States, however, the Food and Drug Administration’s longstanding regulations guiding clinical trials (21 CFR 312.50 for drugs and biologics and 21 CFR 812.40 for medical devices) remain relevant, no matter the trial design. In fact, it’s not the FDA’s position to tell sponsors how to design a trial. Instead, the agency believes a trial should be built to maintain the well-being and safety of patients and the integrity of the data; whether it’s a DCT or a traditional trial that does this doesn’t matter.
While sponsors should use Good Clinical Practice (GCP) as the guiding principle when designing a decentralized clinical trial, the FDA has released some guidance particular to digital health technologies (DHTs) that is important to understand. This article intends to help sponsors interpret this guidance, as well as the current regulatory framework and what it means for decentralized clinical trials.
Read on for insights about:
Pre-COVID, technology and process initiatives to expand patient access, streamline clinical trials, and harmonize regulations were already under way. But, at that time, adoption was limited. Risk aversion among sponsors—along with a general preference for “sticking to what works”—left little room for exploration. The FDA, however, was supportive of decentralized methods before COVID-19, emphasizing the importance of efforts to “bring new innovations and advances to patients who need them faster and more efficiently.”
Below is a look at FDA actions that illustrate an openness to innovative trial methods:
FDA guidelines don’t indicate any preference or recommendation for a specific clinical trial model. Rather, the agency insists the chosen model—whether traditional, decentralized, or hybrid—adhere to good clinical practice (GCP) and minimize the risk to trial integrity and participant safety. This flexible view of clinical trial options places emphasis on the need for a holistic approach to designing and conducting trials. As Jane Miles recently commented in a MedCity News article: “The FDA isn’t treating these guidances as checklists. Rather, the agency’s goal is to spur a macro shift in clinical trials.”
Despite this macro view, the FDA does recognize some challenges to preserving data integrity and privacy when it comes to remote data capture in decentralized clinical trials. To address this, the FDA released draft guidance in December of 2021 on the use of digital health technologies (DHTs) or software-based applications within clinical trials to record electronic data on clinical outcome assessments (eCOAs), performance outcomes (ePerfOs), and patient-reported outcomes (ePROs).
In this guidance, the FDA highlights several important points that can help to de-risk DCTs:
1. Freely given informed consent should be obtained from every subject prior to clinical trial participation.
2. Sponsors and study teams must weigh anticipated benefits against risks and inconveniences.
3. Clinical trials should be scientifically sound and described in a clear, detailed protocol approved by an IRB (Institutional Review Board) or IEC (Independent Ethics Committee)
4. Trial personnel and participants must be appropriately trained and qualified.
5. The quality, integrity, and privacy of data must be maintained.
6. Interoperability of data should be safeguarded against inconsistencies.
7. Proper documentation and audit trails are required.
8. Technical support should be available and equal to technology in use.
If you’re good at reading tea leaves, the FDA has indicated areas ripe for updated guidance. Most of the guidance, though, takes aim at all clinical trials and doesn’t single out a particular study design. Of course, because DCTs are indeed clinical trials, they will likely be impacted.
1. Digital health technologies: In September 2022, the FDA issued three new final guidance documents in the digital health space—clinical decision support (CDS) software, mobile medical applications, and medical device data systems—as well as a report summarizing its findings on the Software Precertification (Pre-Cert) Pilot Program. The agency’s recent efforts signal that it’s moving toward more oversight of digital health companies. It’s worth noting that mobile medical apps used solely for research (such as DCT platforms), while falling outside of this guidance, may be subject to investigational device exemption regulations if that research involves human subjects.
2. Emergency use authorizations: In a January 31, 2023 update, the FDA highlighted that the end of the public health emergency surrounding the COVID-19 pandemic will not impact the FDA’s ability to authorize devices—including tests, treatments, and vaccines—for emergency use. However, as referenced below, it is likely that the path to accelerated approvals will be impacted going forward.
In addition, any emergency use authorizations for medical devices that were issued during the pandemic now have to seek alternate pathways and re-apply, either by the clearance or pre-market approval route.
3. Accelerated approvals: At the close of 2022, Congress gave the FDA more power over the accelerated approval program. This program allows drugs with data on predicted clinical outcomes to launch while awaiting confirmatory results from post-market trials. Congress recognized that, in many cases, drugs will stay on the market for years without this confirmatory data. The new law requires sponsors to report twice a year on post-market trials and gives the FDA power to withdraw drugs when sponsors don’t meet these requirements. In light of the new law’s passage, and an expected increase in FDA oversight, a growing number of sponsors will likely explore DCT methods for post-market trials due to their convenience and cost benefits.
4. Diversity in clinical trials: In April 2022, the FDA issued diversity plans to improve clinical trial enrollment of participants from underrepresented racial and ethnic subgroups. Decentralized clinical trials, which often use targeted social media to recruit from a broader sample of the population, have the potential to expand awareness and access to trials. Moving forward, the FDA may assess submissions based in part on the data that illustrates safety and efficacy on a diverse cohort.
The debate about the relevance of decentralization in clinical trials appears to be waning. But, the challenges of finding the right balance of site-based versus remote trial components remains. A meta-analysis of 640 Phase III trials for novel therapeutics reveals 54% of them failed. Additional analyses point to flawed study design as one of the key factors most likely to drive poor results. As sponsors seek to navigate the risk-and-reward tradeoffs in designing their studies, they can benefit from experience and advice of peers who were early adopters in the space:
1. Find a competent CRO partner with deep clinical, data science, technology, and regulatory expertise—one that’s able to interpret FDA guidance and help you to design your study for optimal efficiency and accuracy with minimal risk. Carefully weigh the tradeoffs between patient centricity (providing ease and choice) and the level of granularity needed to meet endpoints.
2. Begin discussions with regulatory bodies as early as possible. Because DCTs are still relatively new, the approval process requires transparency and embracing a learning curve on the part of all parties. Informing and educating FDA partners on intentions is key to success.
3. Do your homework. Conduct research and gather as much data as is available on similar methodologies and on any early results from internal testing. Leverage any and all available data to project outcomes. As Craig Lipset, Founder of DTRA, explains: “The industry needs to be better at predictive analytics to better understand and forecast what patients might need in the future … in order to make better and more rational use of expensive resources.”
When designing a study, sponsors should think first about “the protection of human subjects in trials and the quality and integrity of the data.” In many instances, this focus will lead sponsors to decentralized methods. If that’s the case, instead of shying away, sponsors should engage with the agency to gain its support. When you look at what the FDA has said about DCTs in the past decade, it’s clear the agency accepts clinical trial innovation when executed for the right reasons.
DCTs have the ability to reduce participant burden, increase trial diversity, produce more real-world data, and may get therapeutics to market faster. And, that’s a win for everyone involved: the patients, the sponsors, and the FDA.
Discover ways to de-risk your DCT while complying with FDA requirements.
Because trial methodology has changed, there’s a common myth that the rules need to be or will be re-written. In the United States, however, the Food and Drug Administration’s longstanding regulations guiding clinical trials (21 CFR 312.50 for drugs and biologics and 21 CFR 812.40 for medical devices) remain relevant, no matter the trial design. In fact, it’s not the FDA’s position to tell sponsors how to design a trial. Instead, the agency believes a trial should be built to maintain the well-being and safety of patients and the integrity of the data; whether it’s a DCT or a traditional trial that does this doesn’t matter.
While sponsors should use Good Clinical Practice (GCP) as the guiding principle when designing a decentralized clinical trial, the FDA has released some guidance particular to digital health technologies (DHTs) that is important to understand. This article intends to help sponsors interpret this guidance, as well as the current regulatory framework and what it means for decentralized clinical trials.
Read on for insights about:
Pre-COVID, technology and process initiatives to expand patient access, streamline clinical trials, and harmonize regulations were already under way. But, at that time, adoption was limited. Risk aversion among sponsors—along with a general preference for “sticking to what works”—left little room for exploration. The FDA, however, was supportive of decentralized methods before COVID-19, emphasizing the importance of efforts to “bring new innovations and advances to patients who need them faster and more efficiently.”
Below is a look at FDA actions that illustrate an openness to innovative trial methods:
FDA guidelines don’t indicate any preference or recommendation for a specific clinical trial model. Rather, the agency insists the chosen model—whether traditional, decentralized, or hybrid—adhere to good clinical practice (GCP) and minimize the risk to trial integrity and participant safety. This flexible view of clinical trial options places emphasis on the need for a holistic approach to designing and conducting trials. As Jane Miles recently commented in a MedCity News article: “The FDA isn’t treating these guidances as checklists. Rather, the agency’s goal is to spur a macro shift in clinical trials.”
Despite this macro view, the FDA does recognize some challenges to preserving data integrity and privacy when it comes to remote data capture in decentralized clinical trials. To address this, the FDA released draft guidance in December of 2021 on the use of digital health technologies (DHTs) or software-based applications within clinical trials to record electronic data on clinical outcome assessments (eCOAs), performance outcomes (ePerfOs), and patient-reported outcomes (ePROs).
In this guidance, the FDA highlights several important points that can help to de-risk DCTs:
1. Freely given informed consent should be obtained from every subject prior to clinical trial participation.
2. Sponsors and study teams must weigh anticipated benefits against risks and inconveniences.
3. Clinical trials should be scientifically sound and described in a clear, detailed protocol approved by an IRB (Institutional Review Board) or IEC (Independent Ethics Committee)
4. Trial personnel and participants must be appropriately trained and qualified.
5. The quality, integrity, and privacy of data must be maintained.
6. Interoperability of data should be safeguarded against inconsistencies.
7. Proper documentation and audit trails are required.
8. Technical support should be available and equal to technology in use.
If you’re good at reading tea leaves, the FDA has indicated areas ripe for updated guidance. Most of the guidance, though, takes aim at all clinical trials and doesn’t single out a particular study design. Of course, because DCTs are indeed clinical trials, they will likely be impacted.
1. Digital health technologies: In September 2022, the FDA issued three new final guidance documents in the digital health space—clinical decision support (CDS) software, mobile medical applications, and medical device data systems—as well as a report summarizing its findings on the Software Precertification (Pre-Cert) Pilot Program. The agency’s recent efforts signal that it’s moving toward more oversight of digital health companies. It’s worth noting that mobile medical apps used solely for research (such as DCT platforms), while falling outside of this guidance, may be subject to investigational device exemption regulations if that research involves human subjects.
2. Emergency use authorizations: In a January 31, 2023 update, the FDA highlighted that the end of the public health emergency surrounding the COVID-19 pandemic will not impact the FDA’s ability to authorize devices—including tests, treatments, and vaccines—for emergency use. However, as referenced below, it is likely that the path to accelerated approvals will be impacted going forward.
In addition, any emergency use authorizations for medical devices that were issued during the pandemic now have to seek alternate pathways and re-apply, either by the clearance or pre-market approval route.
3. Accelerated approvals: At the close of 2022, Congress gave the FDA more power over the accelerated approval program. This program allows drugs with data on predicted clinical outcomes to launch while awaiting confirmatory results from post-market trials. Congress recognized that, in many cases, drugs will stay on the market for years without this confirmatory data. The new law requires sponsors to report twice a year on post-market trials and gives the FDA power to withdraw drugs when sponsors don’t meet these requirements. In light of the new law’s passage, and an expected increase in FDA oversight, a growing number of sponsors will likely explore DCT methods for post-market trials due to their convenience and cost benefits.
4. Diversity in clinical trials: In April 2022, the FDA issued diversity plans to improve clinical trial enrollment of participants from underrepresented racial and ethnic subgroups. Decentralized clinical trials, which often use targeted social media to recruit from a broader sample of the population, have the potential to expand awareness and access to trials. Moving forward, the FDA may assess submissions based in part on the data that illustrates safety and efficacy on a diverse cohort.
The debate about the relevance of decentralization in clinical trials appears to be waning. But, the challenges of finding the right balance of site-based versus remote trial components remains. A meta-analysis of 640 Phase III trials for novel therapeutics reveals 54% of them failed. Additional analyses point to flawed study design as one of the key factors most likely to drive poor results. As sponsors seek to navigate the risk-and-reward tradeoffs in designing their studies, they can benefit from experience and advice of peers who were early adopters in the space:
1. Find a competent CRO partner with deep clinical, data science, technology, and regulatory expertise—one that’s able to interpret FDA guidance and help you to design your study for optimal efficiency and accuracy with minimal risk. Carefully weigh the tradeoffs between patient centricity (providing ease and choice) and the level of granularity needed to meet endpoints.
2. Begin discussions with regulatory bodies as early as possible. Because DCTs are still relatively new, the approval process requires transparency and embracing a learning curve on the part of all parties. Informing and educating FDA partners on intentions is key to success.
3. Do your homework. Conduct research and gather as much data as is available on similar methodologies and on any early results from internal testing. Leverage any and all available data to project outcomes. As Craig Lipset, Founder of DTRA, explains: “The industry needs to be better at predictive analytics to better understand and forecast what patients might need in the future … in order to make better and more rational use of expensive resources.”
When designing a study, sponsors should think first about “the protection of human subjects in trials and the quality and integrity of the data.” In many instances, this focus will lead sponsors to decentralized methods. If that’s the case, instead of shying away, sponsors should engage with the agency to gain its support. When you look at what the FDA has said about DCTs in the past decade, it’s clear the agency accepts clinical trial innovation when executed for the right reasons.
DCTs have the ability to reduce participant burden, increase trial diversity, produce more real-world data, and may get therapeutics to market faster. And, that’s a win for everyone involved: the patients, the sponsors, and the FDA.
Discover ways to de-risk your DCT while complying with FDA requirements.
Because trial methodology has changed, there’s a common myth that the rules need to be or will be re-written. In the United States, however, the Food and Drug Administration’s longstanding regulations guiding clinical trials (21 CFR 312.50 for drugs and biologics and 21 CFR 812.40 for medical devices) remain relevant, no matter the trial design. In fact, it’s not the FDA’s position to tell sponsors how to design a trial. Instead, the agency believes a trial should be built to maintain the well-being and safety of patients and the integrity of the data; whether it’s a DCT or a traditional trial that does this doesn’t matter.
While sponsors should use Good Clinical Practice (GCP) as the guiding principle when designing a decentralized clinical trial, the FDA has released some guidance particular to digital health technologies (DHTs) that is important to understand. This article intends to help sponsors interpret this guidance, as well as the current regulatory framework and what it means for decentralized clinical trials.
Read on for insights about:
Pre-COVID, technology and process initiatives to expand patient access, streamline clinical trials, and harmonize regulations were already under way. But, at that time, adoption was limited. Risk aversion among sponsors—along with a general preference for “sticking to what works”—left little room for exploration. The FDA, however, was supportive of decentralized methods before COVID-19, emphasizing the importance of efforts to “bring new innovations and advances to patients who need them faster and more efficiently.”
Below is a look at FDA actions that illustrate an openness to innovative trial methods:
FDA guidelines don’t indicate any preference or recommendation for a specific clinical trial model. Rather, the agency insists the chosen model—whether traditional, decentralized, or hybrid—adhere to good clinical practice (GCP) and minimize the risk to trial integrity and participant safety. This flexible view of clinical trial options places emphasis on the need for a holistic approach to designing and conducting trials. As Jane Miles recently commented in a MedCity News article: “The FDA isn’t treating these guidances as checklists. Rather, the agency’s goal is to spur a macro shift in clinical trials.”
Despite this macro view, the FDA does recognize some challenges to preserving data integrity and privacy when it comes to remote data capture in decentralized clinical trials. To address this, the FDA released draft guidance in December of 2021 on the use of digital health technologies (DHTs) or software-based applications within clinical trials to record electronic data on clinical outcome assessments (eCOAs), performance outcomes (ePerfOs), and patient-reported outcomes (ePROs).
In this guidance, the FDA highlights several important points that can help to de-risk DCTs:
1. Freely given informed consent should be obtained from every subject prior to clinical trial participation.
2. Sponsors and study teams must weigh anticipated benefits against risks and inconveniences.
3. Clinical trials should be scientifically sound and described in a clear, detailed protocol approved by an IRB (Institutional Review Board) or IEC (Independent Ethics Committee)
4. Trial personnel and participants must be appropriately trained and qualified.
5. The quality, integrity, and privacy of data must be maintained.
6. Interoperability of data should be safeguarded against inconsistencies.
7. Proper documentation and audit trails are required.
8. Technical support should be available and equal to technology in use.
If you’re good at reading tea leaves, the FDA has indicated areas ripe for updated guidance. Most of the guidance, though, takes aim at all clinical trials and doesn’t single out a particular study design. Of course, because DCTs are indeed clinical trials, they will likely be impacted.
1. Digital health technologies: In September 2022, the FDA issued three new final guidance documents in the digital health space—clinical decision support (CDS) software, mobile medical applications, and medical device data systems—as well as a report summarizing its findings on the Software Precertification (Pre-Cert) Pilot Program. The agency’s recent efforts signal that it’s moving toward more oversight of digital health companies. It’s worth noting that mobile medical apps used solely for research (such as DCT platforms), while falling outside of this guidance, may be subject to investigational device exemption regulations if that research involves human subjects.
2. Emergency use authorizations: In a January 31, 2023 update, the FDA highlighted that the end of the public health emergency surrounding the COVID-19 pandemic will not impact the FDA’s ability to authorize devices—including tests, treatments, and vaccines—for emergency use. However, as referenced below, it is likely that the path to accelerated approvals will be impacted going forward.
In addition, any emergency use authorizations for medical devices that were issued during the pandemic now have to seek alternate pathways and re-apply, either by the clearance or pre-market approval route.
3. Accelerated approvals: At the close of 2022, Congress gave the FDA more power over the accelerated approval program. This program allows drugs with data on predicted clinical outcomes to launch while awaiting confirmatory results from post-market trials. Congress recognized that, in many cases, drugs will stay on the market for years without this confirmatory data. The new law requires sponsors to report twice a year on post-market trials and gives the FDA power to withdraw drugs when sponsors don’t meet these requirements. In light of the new law’s passage, and an expected increase in FDA oversight, a growing number of sponsors will likely explore DCT methods for post-market trials due to their convenience and cost benefits.
4. Diversity in clinical trials: In April 2022, the FDA issued diversity plans to improve clinical trial enrollment of participants from underrepresented racial and ethnic subgroups. Decentralized clinical trials, which often use targeted social media to recruit from a broader sample of the population, have the potential to expand awareness and access to trials. Moving forward, the FDA may assess submissions based in part on the data that illustrates safety and efficacy on a diverse cohort.
The debate about the relevance of decentralization in clinical trials appears to be waning. But, the challenges of finding the right balance of site-based versus remote trial components remains. A meta-analysis of 640 Phase III trials for novel therapeutics reveals 54% of them failed. Additional analyses point to flawed study design as one of the key factors most likely to drive poor results. As sponsors seek to navigate the risk-and-reward tradeoffs in designing their studies, they can benefit from experience and advice of peers who were early adopters in the space:
1. Find a competent CRO partner with deep clinical, data science, technology, and regulatory expertise—one that’s able to interpret FDA guidance and help you to design your study for optimal efficiency and accuracy with minimal risk. Carefully weigh the tradeoffs between patient centricity (providing ease and choice) and the level of granularity needed to meet endpoints.
2. Begin discussions with regulatory bodies as early as possible. Because DCTs are still relatively new, the approval process requires transparency and embracing a learning curve on the part of all parties. Informing and educating FDA partners on intentions is key to success.
3. Do your homework. Conduct research and gather as much data as is available on similar methodologies and on any early results from internal testing. Leverage any and all available data to project outcomes. As Craig Lipset, Founder of DTRA, explains: “The industry needs to be better at predictive analytics to better understand and forecast what patients might need in the future … in order to make better and more rational use of expensive resources.”
When designing a study, sponsors should think first about “the protection of human subjects in trials and the quality and integrity of the data.” In many instances, this focus will lead sponsors to decentralized methods. If that’s the case, instead of shying away, sponsors should engage with the agency to gain its support. When you look at what the FDA has said about DCTs in the past decade, it’s clear the agency accepts clinical trial innovation when executed for the right reasons.
DCTs have the ability to reduce participant burden, increase trial diversity, produce more real-world data, and may get therapeutics to market faster. And, that’s a win for everyone involved: the patients, the sponsors, and the FDA.
Discover ways to de-risk your DCT while complying with FDA requirements.
Many clinical trial sponsors don’t understand how decentralized clinical trials (DCTs) fit within today’s regulatory landscape. This lack of familiarity with decentralized research and regulatory approaches has created DCT hesitancy among sponsors.
Because trial methodology has changed, there’s a common myth that the rules need to be or will be re-written. In the United States, however, the Food and Drug Administration’s longstanding regulations guiding clinical trials (21 CFR 312.50 for drugs and biologics and 21 CFR 812.40 for medical devices) remain relevant, no matter the trial design. In fact, it’s not the FDA’s position to tell sponsors how to design a trial. Instead, the agency believes a trial should be built to maintain the well-being and safety of patients and the integrity of the data; whether it’s a DCT or a traditional trial that does this doesn’t matter.
While sponsors should use Good Clinical Practice (GCP) as the guiding principle when designing a decentralized clinical trial, the FDA has released some guidance particular to digital health technologies (DHTs) that is important to understand. This article intends to help sponsors interpret this guidance, as well as the current regulatory framework and what it means for decentralized clinical trials.
Read on for insights about:
Pre-COVID, technology and process initiatives to expand patient access, streamline clinical trials, and harmonize regulations were already under way. But, at that time, adoption was limited. Risk aversion among sponsors—along with a general preference for “sticking to what works”—left little room for exploration. The FDA, however, was supportive of decentralized methods before COVID-19, emphasizing the importance of efforts to “bring new innovations and advances to patients who need them faster and more efficiently.”
Below is a look at FDA actions that illustrate an openness to innovative trial methods:
FDA guidelines don’t indicate any preference or recommendation for a specific clinical trial model. Rather, the agency insists the chosen model—whether traditional, decentralized, or hybrid—adhere to good clinical practice (GCP) and minimize the risk to trial integrity and participant safety. This flexible view of clinical trial options places emphasis on the need for a holistic approach to designing and conducting trials. As Jane Miles recently commented in a MedCity News article: “The FDA isn’t treating these guidances as checklists. Rather, the agency’s goal is to spur a macro shift in clinical trials.”
Despite this macro view, the FDA does recognize some challenges to preserving data integrity and privacy when it comes to remote data capture in decentralized clinical trials. To address this, the FDA released draft guidance in December of 2021 on the use of digital health technologies (DHTs) or software-based applications within clinical trials to record electronic data on clinical outcome assessments (eCOAs), performance outcomes (ePerfOs), and patient-reported outcomes (ePROs).
In this guidance, the FDA highlights several important points that can help to de-risk DCTs:
1. Freely given informed consent should be obtained from every subject prior to clinical trial participation.
2. Sponsors and study teams must weigh anticipated benefits against risks and inconveniences.
3. Clinical trials should be scientifically sound and described in a clear, detailed protocol approved by an IRB (Institutional Review Board) or IEC (Independent Ethics Committee)
4. Trial personnel and participants must be appropriately trained and qualified.
5. The quality, integrity, and privacy of data must be maintained.
6. Interoperability of data should be safeguarded against inconsistencies.
7. Proper documentation and audit trails are required.
8. Technical support should be available and equal to technology in use.
If you’re good at reading tea leaves, the FDA has indicated areas ripe for updated guidance. Most of the guidance, though, takes aim at all clinical trials and doesn’t single out a particular study design. Of course, because DCTs are indeed clinical trials, they will likely be impacted.
1. Digital health technologies: In September 2022, the FDA issued three new final guidance documents in the digital health space—clinical decision support (CDS) software, mobile medical applications, and medical device data systems—as well as a report summarizing its findings on the Software Precertification (Pre-Cert) Pilot Program. The agency’s recent efforts signal that it’s moving toward more oversight of digital health companies. It’s worth noting that mobile medical apps used solely for research (such as DCT platforms), while falling outside of this guidance, may be subject to investigational device exemption regulations if that research involves human subjects.
2. Emergency use authorizations: In a January 31, 2023 update, the FDA highlighted that the end of the public health emergency surrounding the COVID-19 pandemic will not impact the FDA’s ability to authorize devices—including tests, treatments, and vaccines—for emergency use. However, as referenced below, it is likely that the path to accelerated approvals will be impacted going forward.
In addition, any emergency use authorizations for medical devices that were issued during the pandemic now have to seek alternate pathways and re-apply, either by the clearance or pre-market approval route.
3. Accelerated approvals: At the close of 2022, Congress gave the FDA more power over the accelerated approval program. This program allows drugs with data on predicted clinical outcomes to launch while awaiting confirmatory results from post-market trials. Congress recognized that, in many cases, drugs will stay on the market for years without this confirmatory data. The new law requires sponsors to report twice a year on post-market trials and gives the FDA power to withdraw drugs when sponsors don’t meet these requirements. In light of the new law’s passage, and an expected increase in FDA oversight, a growing number of sponsors will likely explore DCT methods for post-market trials due to their convenience and cost benefits.
4. Diversity in clinical trials: In April 2022, the FDA issued diversity plans to improve clinical trial enrollment of participants from underrepresented racial and ethnic subgroups. Decentralized clinical trials, which often use targeted social media to recruit from a broader sample of the population, have the potential to expand awareness and access to trials. Moving forward, the FDA may assess submissions based in part on the data that illustrates safety and efficacy on a diverse cohort.
The debate about the relevance of decentralization in clinical trials appears to be waning. But, the challenges of finding the right balance of site-based versus remote trial components remains. A meta-analysis of 640 Phase III trials for novel therapeutics reveals 54% of them failed. Additional analyses point to flawed study design as one of the key factors most likely to drive poor results. As sponsors seek to navigate the risk-and-reward tradeoffs in designing their studies, they can benefit from experience and advice of peers who were early adopters in the space:
1. Find a competent CRO partner with deep clinical, data science, technology, and regulatory expertise—one that’s able to interpret FDA guidance and help you to design your study for optimal efficiency and accuracy with minimal risk. Carefully weigh the tradeoffs between patient centricity (providing ease and choice) and the level of granularity needed to meet endpoints.
2. Begin discussions with regulatory bodies as early as possible. Because DCTs are still relatively new, the approval process requires transparency and embracing a learning curve on the part of all parties. Informing and educating FDA partners on intentions is key to success.
3. Do your homework. Conduct research and gather as much data as is available on similar methodologies and on any early results from internal testing. Leverage any and all available data to project outcomes. As Craig Lipset, Founder of DTRA, explains: “The industry needs to be better at predictive analytics to better understand and forecast what patients might need in the future … in order to make better and more rational use of expensive resources.”
When designing a study, sponsors should think first about “the protection of human subjects in trials and the quality and integrity of the data.” In many instances, this focus will lead sponsors to decentralized methods. If that’s the case, instead of shying away, sponsors should engage with the agency to gain its support. When you look at what the FDA has said about DCTs in the past decade, it’s clear the agency accepts clinical trial innovation when executed for the right reasons.
DCTs have the ability to reduce participant burden, increase trial diversity, produce more real-world data, and may get therapeutics to market faster. And, that’s a win for everyone involved: the patients, the sponsors, and the FDA.
Discover ways to de-risk your DCT while complying with FDA requirements.
Many clinical trial sponsors don’t understand how decentralized clinical trials (DCTs) fit within today’s regulatory landscape. This lack of familiarity with decentralized research and regulatory approaches has created DCT hesitancy among sponsors.
Because trial methodology has changed, there’s a common myth that the rules need to be or will be re-written. In the United States, however, the Food and Drug Administration’s longstanding regulations guiding clinical trials (21 CFR 312.50 for drugs and biologics and 21 CFR 812.40 for medical devices) remain relevant, no matter the trial design. In fact, it’s not the FDA’s position to tell sponsors how to design a trial. Instead, the agency believes a trial should be built to maintain the well-being and safety of patients and the integrity of the data; whether it’s a DCT or a traditional trial that does this doesn’t matter.
While sponsors should use Good Clinical Practice (GCP) as the guiding principle when designing a decentralized clinical trial, the FDA has released some guidance particular to digital health technologies (DHTs) that is important to understand. This article intends to help sponsors interpret this guidance, as well as the current regulatory framework and what it means for decentralized clinical trials.
Read on for insights about:
Pre-COVID, technology and process initiatives to expand patient access, streamline clinical trials, and harmonize regulations were already under way. But, at that time, adoption was limited. Risk aversion among sponsors—along with a general preference for “sticking to what works”—left little room for exploration. The FDA, however, was supportive of decentralized methods before COVID-19, emphasizing the importance of efforts to “bring new innovations and advances to patients who need them faster and more efficiently.”
Below is a look at FDA actions that illustrate an openness to innovative trial methods:
FDA guidelines don’t indicate any preference or recommendation for a specific clinical trial model. Rather, the agency insists the chosen model—whether traditional, decentralized, or hybrid—adhere to good clinical practice (GCP) and minimize the risk to trial integrity and participant safety. This flexible view of clinical trial options places emphasis on the need for a holistic approach to designing and conducting trials. As Jane Miles recently commented in a MedCity News article: “The FDA isn’t treating these guidances as checklists. Rather, the agency’s goal is to spur a macro shift in clinical trials.”
Despite this macro view, the FDA does recognize some challenges to preserving data integrity and privacy when it comes to remote data capture in decentralized clinical trials. To address this, the FDA released draft guidance in December of 2021 on the use of digital health technologies (DHTs) or software-based applications within clinical trials to record electronic data on clinical outcome assessments (eCOAs), performance outcomes (ePerfOs), and patient-reported outcomes (ePROs).
In this guidance, the FDA highlights several important points that can help to de-risk DCTs:
1. Freely given informed consent should be obtained from every subject prior to clinical trial participation.
2. Sponsors and study teams must weigh anticipated benefits against risks and inconveniences.
3. Clinical trials should be scientifically sound and described in a clear, detailed protocol approved by an IRB (Institutional Review Board) or IEC (Independent Ethics Committee)
4. Trial personnel and participants must be appropriately trained and qualified.
5. The quality, integrity, and privacy of data must be maintained.
6. Interoperability of data should be safeguarded against inconsistencies.
7. Proper documentation and audit trails are required.
8. Technical support should be available and equal to technology in use.
If you’re good at reading tea leaves, the FDA has indicated areas ripe for updated guidance. Most of the guidance, though, takes aim at all clinical trials and doesn’t single out a particular study design. Of course, because DCTs are indeed clinical trials, they will likely be impacted.
1. Digital health technologies: In September 2022, the FDA issued three new final guidance documents in the digital health space—clinical decision support (CDS) software, mobile medical applications, and medical device data systems—as well as a report summarizing its findings on the Software Precertification (Pre-Cert) Pilot Program. The agency’s recent efforts signal that it’s moving toward more oversight of digital health companies. It’s worth noting that mobile medical apps used solely for research (such as DCT platforms), while falling outside of this guidance, may be subject to investigational device exemption regulations if that research involves human subjects.
2. Emergency use authorizations: In a January 31, 2023 update, the FDA highlighted that the end of the public health emergency surrounding the COVID-19 pandemic will not impact the FDA’s ability to authorize devices—including tests, treatments, and vaccines—for emergency use. However, as referenced below, it is likely that the path to accelerated approvals will be impacted going forward.
In addition, any emergency use authorizations for medical devices that were issued during the pandemic now have to seek alternate pathways and re-apply, either by the clearance or pre-market approval route.
3. Accelerated approvals: At the close of 2022, Congress gave the FDA more power over the accelerated approval program. This program allows drugs with data on predicted clinical outcomes to launch while awaiting confirmatory results from post-market trials. Congress recognized that, in many cases, drugs will stay on the market for years without this confirmatory data. The new law requires sponsors to report twice a year on post-market trials and gives the FDA power to withdraw drugs when sponsors don’t meet these requirements. In light of the new law’s passage, and an expected increase in FDA oversight, a growing number of sponsors will likely explore DCT methods for post-market trials due to their convenience and cost benefits.
4. Diversity in clinical trials: In April 2022, the FDA issued diversity plans to improve clinical trial enrollment of participants from underrepresented racial and ethnic subgroups. Decentralized clinical trials, which often use targeted social media to recruit from a broader sample of the population, have the potential to expand awareness and access to trials. Moving forward, the FDA may assess submissions based in part on the data that illustrates safety and efficacy on a diverse cohort.
The debate about the relevance of decentralization in clinical trials appears to be waning. But, the challenges of finding the right balance of site-based versus remote trial components remains. A meta-analysis of 640 Phase III trials for novel therapeutics reveals 54% of them failed. Additional analyses point to flawed study design as one of the key factors most likely to drive poor results. As sponsors seek to navigate the risk-and-reward tradeoffs in designing their studies, they can benefit from experience and advice of peers who were early adopters in the space:
1. Find a competent CRO partner with deep clinical, data science, technology, and regulatory expertise—one that’s able to interpret FDA guidance and help you to design your study for optimal efficiency and accuracy with minimal risk. Carefully weigh the tradeoffs between patient centricity (providing ease and choice) and the level of granularity needed to meet endpoints.
2. Begin discussions with regulatory bodies as early as possible. Because DCTs are still relatively new, the approval process requires transparency and embracing a learning curve on the part of all parties. Informing and educating FDA partners on intentions is key to success.
3. Do your homework. Conduct research and gather as much data as is available on similar methodologies and on any early results from internal testing. Leverage any and all available data to project outcomes. As Craig Lipset, Founder of DTRA, explains: “The industry needs to be better at predictive analytics to better understand and forecast what patients might need in the future … in order to make better and more rational use of expensive resources.”
When designing a study, sponsors should think first about “the protection of human subjects in trials and the quality and integrity of the data.” In many instances, this focus will lead sponsors to decentralized methods. If that’s the case, instead of shying away, sponsors should engage with the agency to gain its support. When you look at what the FDA has said about DCTs in the past decade, it’s clear the agency accepts clinical trial innovation when executed for the right reasons.
DCTs have the ability to reduce participant burden, increase trial diversity, produce more real-world data, and may get therapeutics to market faster. And, that’s a win for everyone involved: the patients, the sponsors, and the FDA.
Discover ways to de-risk your DCT while complying with FDA requirements.
Virtual clinical trials aren’t just a buzzword—these research models are here to stay. In fact, the global market for virtual clinical trials is expected to reach $12.9 billion by 2030, according to Grand View Research.
Expectations for the time it takes to complete a vaccine clinical trial have been radically raised by the mRNA vaccines’ successes.