The role of real world data and evidence in building a sustainable & efficien...Office of Health Economics
This presentation defines RWD and RWE in the context of digital health, and looks at potential uses for RWD and RWE. It briefly sets out the current landscape in Malaysia and looks at the challenges in using RWE. In particular, the issues of access, governance and ensuring good quality are considered.
NGS-based diagnostic testing compared to single-marker genetic testing (SMGT), has the potential to improve testing efficiency and to identify more cancer patients who could benefit from targeted therapies, but the impact on outcomes and total costs of care is uncertain. Recent studies using simulation modeling informed with data from the Flatiron Health database, representing curated electronic health record-derived clinical information from 191 oncology practices, has shown only moderate cost effectiveness of NGS vs. SGMT for patients with advanced non-small cell lung cancer (aNSCLC). The data suggests, however, that efforts to increase the proportion of patients who receive targeted therapies would improve the cost-effectiveness of NGS. To effectively inform access and reimbursement policy decisions there is a need to examine the NGS value proposition from the perspective of all stakeholders.
Author(s) and affiliation(s): Lotte Steuten (Office of Health Economics, London, UK); Bernardo Goulart (Fred Hutchinson Cancer Research Center, Seattle, WA, US & Seattle Cancer Care Alliance, Seattle, WA, US); Neal J. Meropol (Flatiron Health, New York, NY, US & Case Western Reserve University, Cleveland, OH, US); Daryl Pritchard (Personalized Medicine Coalition, Washington, DC, US); and Scott D. Ramsey (Fred Hutchinson Cancer Research Center, Seattle, WA, US)
Event: ISPOR 2019
Location: New Orleans, LA, United States
Date: 20/05/2019
Published Research, Flawed, Misleading, Nefarious - Use of Reporting Guidelin...John Hoey
Much published health sciences literature is misleading and biased
Efforts to correct this include use of reporting guidelines- criteria for doing science and reporting the results properly
Also discussion of conflicts of interest - how to report them.
The role of real world data and evidence in building a sustainable & efficien...Office of Health Economics
This presentation defines RWD and RWE in the context of digital health, and looks at potential uses for RWD and RWE. It briefly sets out the current landscape in Malaysia and looks at the challenges in using RWE. In particular, the issues of access, governance and ensuring good quality are considered.
NGS-based diagnostic testing compared to single-marker genetic testing (SMGT), has the potential to improve testing efficiency and to identify more cancer patients who could benefit from targeted therapies, but the impact on outcomes and total costs of care is uncertain. Recent studies using simulation modeling informed with data from the Flatiron Health database, representing curated electronic health record-derived clinical information from 191 oncology practices, has shown only moderate cost effectiveness of NGS vs. SGMT for patients with advanced non-small cell lung cancer (aNSCLC). The data suggests, however, that efforts to increase the proportion of patients who receive targeted therapies would improve the cost-effectiveness of NGS. To effectively inform access and reimbursement policy decisions there is a need to examine the NGS value proposition from the perspective of all stakeholders.
Author(s) and affiliation(s): Lotte Steuten (Office of Health Economics, London, UK); Bernardo Goulart (Fred Hutchinson Cancer Research Center, Seattle, WA, US & Seattle Cancer Care Alliance, Seattle, WA, US); Neal J. Meropol (Flatiron Health, New York, NY, US & Case Western Reserve University, Cleveland, OH, US); Daryl Pritchard (Personalized Medicine Coalition, Washington, DC, US); and Scott D. Ramsey (Fred Hutchinson Cancer Research Center, Seattle, WA, US)
Event: ISPOR 2019
Location: New Orleans, LA, United States
Date: 20/05/2019
Published Research, Flawed, Misleading, Nefarious - Use of Reporting Guidelin...John Hoey
Much published health sciences literature is misleading and biased
Efforts to correct this include use of reporting guidelines- criteria for doing science and reporting the results properly
Also discussion of conflicts of interest - how to report them.
To learn more visit:
https://insidescientific.com/webinar/cutting-edge-conversations-fighting-neurodegenerative-diseases/
Evelyn Pyper, MPH discusses how a patient-centered approach to real-world data collection and evidence generation can transform research in neurodegeneration. Neurodegenerative diseases often affect both motor and cognitive function, produce emotional and social changes, and require significant caregiver support, all while stretching across a fragmented healthcare ecosystem. Participatory research that directly obtains patient consent, empowers patients, and simplifies the task of linking multiple data sources, can lead to a more comprehensive capture of medical histories. This presentation briefly explores ways in which patient-centered research can improve understanding of disease diagnoses, symptomatology, and progression.
Paul Coplan, VP, Johnson & Johnson_mHealth IsraelLevi Shapiro
Pesentation, October 19th, 2021: What’s Next in RWE for Medical Devices: The Art of the Possible. Presented by Paul Coplan, ScD, MBA, FISPE, Vice President, Med Device Epidemiology and RWD Sciences, Johnson & Johnson; Adjunct Professor, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Perelman School of Medicine; Fellow of the International Society of Pharmacoepidemiology
- Why RWE is Important for Medical Devices: Challenges with Clinical Trials of Medical Devices (Blinding, Surgeon skill/technique, Hospital process, Product modifications, Long term Follow up, Enrolment challenges)
- Types of Real-World Data Sources (Complaints like MAUDE, Eudramed and Company Databases, Hospital Databases, Electronic Health Records, Claims, Registries, Patient surveys, Surgeon surveys, PROs, Patient Preferences, wearables, sensors, social media, Surgical videos, device generated data, radiographic images)
- FDA CDRH Report on RWE Examples for Regulatory Decisions
- J&J Med Device Epidemiology & Real-World Data Sciences
- US National Evaluation System for Health Technology (NEST)
- RWE for Safety Assessments: Cobalt in Implants and at Work and Risk of Cancer
- Summary of Cobalt Exposure and All-Site Cancer Risk, by Study Type
- Comparative Effectiveness Studies Using RWE
- Summary
a. Use of RWE is important to benefit patients globally and enhance the safety and innovation of medical devices
b. Regulators are interested in using RWE for regulatory decisions but data quality and evidence needs to be regulatory grade
c. NEST has been a useful forum to advance the use of RWE for regulatory decisions in the US
d. RWE can be used for safety assessments, regulatory decisions, comparative effectiveness research, and R&D of products
Josephine Briggs, MD
Director
National Center for Complementary and Alternative Medicine
National Institutes of Health
Opening Keynote "Research in an IT Connected World: Building Better Partnerships – NIH and Health Care Systems"
The era of ‘Big Data’ has arrived for biomedical research, bringing with it immense challenges as well as spectacular opportunities. NIH is establishing major programs with the potential to transform the future of US biomedical research by building the capacities necessary for these challenges. These programs will strengthen research partnerships with health care systems and the IT networks that support them.
The Big Data to Knowledge (BD2K) initiative, to be launched in 2014, will implement a set of recommendations from the Data and Informatics Working Group to the Advisory Committee to the Director. Investments are planned to meet scientific needs to manage and utilize large complex datasets, including strengthening training, and investing in improved analysis methods and software development and dissemination. NIH is also evaluating strengthening data and software sharing policies, and the potential creation of catalogs of research data, and data/metadata standards.
The Common Fund’s Health Care Systems (HCS) Research Collaboratory program has the goal to strengthen the national capacity to implement cost-effective large-scale research studies by engaging major health care delivery organizations as research partners. The aim of the program is to provide a framework of implementation methods and best practices that will enable the participation of many health care systems in clinical research. Research conducted in partnership with health care systems is essential to strengthen the relevance of research results to health practice. Seven demonstration projects, currently in a feasibility phase, are developing detailed methods to implement rigorous randomized studies of questions of major public health impact. These studies, and the IT infrastructure that will make them possible, will be described in detail.
What's Next in RWE_Amy Rudolph_Novartis_mHealth IsraelLevi Shapiro
Overview of the
- Healthcare ecosystem complexity increasing rapidly
- Pharma industry is facing a crisis: trends shaping the industry
- RWE complements RCTs and captures implementation of innovation
- RWE is one component of the integrated evidence needed for stakeholders
- Integrated Evidence: Optimizing patient access
- Integrated Evidence: Label expansion
- Maximizing the value of data requires a scalable platform and expertise
Aysun Karatas MedicReS World Congress 2015 MedicReS
A Non-Profit Sponsor Organisation for Investigator Initiated Oncologic Trials in Germany and Europe Presentation to MedicReS 5th World Congress on October 19,25,2015 in New York by Dr. Aysun Karatas
Background: The transition from resident physician to independent practitioner is an important period for young physicians.Optimally, they would feel well prepared to independently care for all patients presenting to them for anesthesia, however, this is unlikely Methods: A survey was emailed to all accredited anesthesiology residency program coordinators in April 2018 for further distribution to their CA3 residents. The survey collected data on the resident’s perception of his or her preparedness to manage a variety of anesthesia cases, patients with comorbid conditions, and ethical issues as well as perform various procedures.
A Standards-based Approach to Development of Clinical Registries - Initial Le...Koray Atalag
This is the prezo I presented at HINZ 2014 conference.
Gestational diabetes has implications for both mother and child with risk of complications during pregnancy, and type 2 diabetes later in life. This paper presents the initial lessons learned from the development of a clinical registry. The aims of the Registry are: 1) 100% successful diabetes screening within 3 months of delivery; 2) Annual type 2 diabetes screening; 3) Early warning in subsequent pregnancies.
We have employed the openEHR standard which underpins our national interoperability reference architecture to represent the dataset and also to build the web-based registry system. Use of this rigorous methodology to tackle health information is expected to ensure semantic consistency of Registry data and maximise interoperability with other Sector projects. The development work has been facilitated by the ability to transform the dataset automatically into software code – ensuring clinical requirements accurately translated into technical terms.
Dataset has been finalised, registry system has been developed and deployed for pilot implementation. Data entry is underway for participants after consenting.
This registry is expected to increase the screening of women leading to earlier detection of diabetes. It should provide a valuable picture of the condition and is intended for extension and wider roll-out after evaluation.
Prof. Todor (Ted) A. Popov - 6th Clinical Research ConferenceStarttech Ventures
Ομιλία - Παρουσίαση: Prof. Todor (Ted) A. Popov, Professor of Medicine, Medical University in Sofia, Chairman of the Bulgarian Ethics Committee for Multicenter Studies
Τίτλος Παρουσίασης: «Do databases around the world speak the same language?»
The Role of Real-World Data in Clinical DevelopmentCovance
Healthcare is experiencing an avalanche of electronic data with sources that include social media, smart phones, activity trackers, electronic health records (EHRs), insurance claim databases, patient registries, health surveys, and more. **Disclaimer: This article was previously published. Sciformix is now a Covance company.
CANDIDATES FOR HIPPOCAMPAL SPARING14MethodologyTo evaluate .docxhumphrieskalyn
CANDIDATES FOR HIPPOCAMPAL SPARING 14
Methodology
To evaluate which patients would be higher priority candidates for hippocampal sparing, 3,000 participant treatment plans were evaluated via a cross-sectional differential research method. The method of research used in this study is considered differential and cross-sectional because groups of participants are different ages are compared on a set of variables and because participates of this study were assigned to groups based on preexisting factors.
Patients over the age of 18 and parents of participants under the age of 18 were asked to take part in the research. The aim of research was explained to them and informed consent was obtained by all participants prior to participating in the study. It was explained to participants, or parents of the participants, that data was going to be collected based on the treatment they received and that no additional experimentation with radiation was to be added to their treatment for the benefit of the research study, therefore, there was no additional risk to their treatment plan implemented by this differential research study. The study was subject to external review several credible institutions including the American Society for Therapeutic Radiology and Oncology (ASTRO).
Participants. Participants of this study were subjects who required WBRT and were evaluated in two categories. The two categories were based on treatment intent and will be separated into preexisting palliative and prophylactic categories. With age thought to be the most influential variable, participants in each category were further categorized into two subcategories based on age. Subjects of this study included subcategory A participates who were required to be 25 years of age and younger and subcategory B participants who were required to be 26 years old age and older based on prior research on brain development studies done by Giedd & Rapoport.
The cumulative sample size for the research study was 2,000 participants. 500 subcategory A and 500 subcategory B participants were included in each intent category. Subject exclusions included patients who were on hospice care, those on a concurrent chemotherapy regimen during their radiation therapy treatment and patients who had a treatment plan change after beginning their initially recommended treatment.
Treatment Intent
Total Number of Participants
A: Under 25
B: Over 25
Prophylactic
500
500
Palliative
500
500
Table 1. Visual representation of participants.
Data Collection Method. Data was collected from 20 Radiation Oncologist between 21 different cancer centers over a course of 18 months between January 2014 and June 2015. Two Oncologists at each cancer center participated in the study by collecting research and all had an average of 3 new WBRT patients per month. Each cancer center then treated an average of 6 new WBRT patients per month, 2,000 of which agreed to participate in the study. Data was collected from each ph ...
Nursing Evidence Based Practice PPT for BSN Nurses.
This ppt assess effectiveness of using NPWT for DFUs with providing highest level of evidence. DFUs are a prevalent issue in many countries and is treated via dressings which take a long time to heal but utilizing this method will certainly make the recovery faster.
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evi.docxchristinemaritza
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evidence
Mollie R. Cummins
Ginette A. Pepper
Susan D. Horn
The next step to comparative effectiveness research is to conduct more prospective large-scale observational cohort studies with the rigor described here for knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) studies.
Objectives
At the completion of this chapter the reader will be prepared to:
1.Define the goals and processes employed in knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) designs
2.Analyze the strengths and weaknesses of observational designs in general and of KDDM and PBE specifically
3.Identify the roles and activities of the informatics specialist in KDDM and PBE in healthcare environments
Key Terms
Comparative effectiveness research, 69
Confusion matrix, 62
Data mining, 61
Knowledge discovery and data mining (KDDM), 56
Machine learning, 56
Natural language processing (NLP), 58
Practice-based evidence (PBE), 56
Preprocessing, 56
Abstract
The advent of the electronic health record (EHR) and other large electronic datasets has revolutionized efficient access to comprehensive data across large numbers of patients and the concomitant capacity to detect subtle patterns in these data even with missing or less than optimal data quality. This chapter introduces two approaches to knowledge building from clinical data: (1) knowledge discovery and data mining (KDDM) and (2) practice-based evidence (PBE). The use of machine learning methods in retrospective analysis of routinely collected clinical data characterizes KDDM. KDDM enables us to efficiently and effectively analyze large amounts of data and develop clinical knowledge models for decision support. PBE integrates health information technology (health IT) products with cohort identification, prospective data collection, and extensive front-line clinician and patient input for comparative effectiveness research. PBE can uncover best practices and combinations of treatments for specific types of patients while achieving many of the presumed advantages of randomized controlled trials (RCTs).
Introduction
Leaders need to foster a shared learning culture for improving healthcare. This extends beyond the local department or institution to a value for creating generalizable knowledge to improve care worldwide. Sound, rigorous methods are needed by researchers and health professionals to create this knowledge and address practical questions about risks, benefits, and costs of interventions as they occur in actual clinical practice. Typical questions are as follows:
•Are treatments used in daily practice associated with intended outcomes?
•Can we predict adverse events in time to prevent or ameliorate them?
•What treatments work best for which patients?
•With limited financial resources, what are the best interventions to use for specific types of patients?
•What types of indi ...
To learn more visit:
https://insidescientific.com/webinar/cutting-edge-conversations-fighting-neurodegenerative-diseases/
Evelyn Pyper, MPH discusses how a patient-centered approach to real-world data collection and evidence generation can transform research in neurodegeneration. Neurodegenerative diseases often affect both motor and cognitive function, produce emotional and social changes, and require significant caregiver support, all while stretching across a fragmented healthcare ecosystem. Participatory research that directly obtains patient consent, empowers patients, and simplifies the task of linking multiple data sources, can lead to a more comprehensive capture of medical histories. This presentation briefly explores ways in which patient-centered research can improve understanding of disease diagnoses, symptomatology, and progression.
Paul Coplan, VP, Johnson & Johnson_mHealth IsraelLevi Shapiro
Pesentation, October 19th, 2021: What’s Next in RWE for Medical Devices: The Art of the Possible. Presented by Paul Coplan, ScD, MBA, FISPE, Vice President, Med Device Epidemiology and RWD Sciences, Johnson & Johnson; Adjunct Professor, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Perelman School of Medicine; Fellow of the International Society of Pharmacoepidemiology
- Why RWE is Important for Medical Devices: Challenges with Clinical Trials of Medical Devices (Blinding, Surgeon skill/technique, Hospital process, Product modifications, Long term Follow up, Enrolment challenges)
- Types of Real-World Data Sources (Complaints like MAUDE, Eudramed and Company Databases, Hospital Databases, Electronic Health Records, Claims, Registries, Patient surveys, Surgeon surveys, PROs, Patient Preferences, wearables, sensors, social media, Surgical videos, device generated data, radiographic images)
- FDA CDRH Report on RWE Examples for Regulatory Decisions
- J&J Med Device Epidemiology & Real-World Data Sciences
- US National Evaluation System for Health Technology (NEST)
- RWE for Safety Assessments: Cobalt in Implants and at Work and Risk of Cancer
- Summary of Cobalt Exposure and All-Site Cancer Risk, by Study Type
- Comparative Effectiveness Studies Using RWE
- Summary
a. Use of RWE is important to benefit patients globally and enhance the safety and innovation of medical devices
b. Regulators are interested in using RWE for regulatory decisions but data quality and evidence needs to be regulatory grade
c. NEST has been a useful forum to advance the use of RWE for regulatory decisions in the US
d. RWE can be used for safety assessments, regulatory decisions, comparative effectiveness research, and R&D of products
Josephine Briggs, MD
Director
National Center for Complementary and Alternative Medicine
National Institutes of Health
Opening Keynote "Research in an IT Connected World: Building Better Partnerships – NIH and Health Care Systems"
The era of ‘Big Data’ has arrived for biomedical research, bringing with it immense challenges as well as spectacular opportunities. NIH is establishing major programs with the potential to transform the future of US biomedical research by building the capacities necessary for these challenges. These programs will strengthen research partnerships with health care systems and the IT networks that support them.
The Big Data to Knowledge (BD2K) initiative, to be launched in 2014, will implement a set of recommendations from the Data and Informatics Working Group to the Advisory Committee to the Director. Investments are planned to meet scientific needs to manage and utilize large complex datasets, including strengthening training, and investing in improved analysis methods and software development and dissemination. NIH is also evaluating strengthening data and software sharing policies, and the potential creation of catalogs of research data, and data/metadata standards.
The Common Fund’s Health Care Systems (HCS) Research Collaboratory program has the goal to strengthen the national capacity to implement cost-effective large-scale research studies by engaging major health care delivery organizations as research partners. The aim of the program is to provide a framework of implementation methods and best practices that will enable the participation of many health care systems in clinical research. Research conducted in partnership with health care systems is essential to strengthen the relevance of research results to health practice. Seven demonstration projects, currently in a feasibility phase, are developing detailed methods to implement rigorous randomized studies of questions of major public health impact. These studies, and the IT infrastructure that will make them possible, will be described in detail.
What's Next in RWE_Amy Rudolph_Novartis_mHealth IsraelLevi Shapiro
Overview of the
- Healthcare ecosystem complexity increasing rapidly
- Pharma industry is facing a crisis: trends shaping the industry
- RWE complements RCTs and captures implementation of innovation
- RWE is one component of the integrated evidence needed for stakeholders
- Integrated Evidence: Optimizing patient access
- Integrated Evidence: Label expansion
- Maximizing the value of data requires a scalable platform and expertise
Aysun Karatas MedicReS World Congress 2015 MedicReS
A Non-Profit Sponsor Organisation for Investigator Initiated Oncologic Trials in Germany and Europe Presentation to MedicReS 5th World Congress on October 19,25,2015 in New York by Dr. Aysun Karatas
Background: The transition from resident physician to independent practitioner is an important period for young physicians.Optimally, they would feel well prepared to independently care for all patients presenting to them for anesthesia, however, this is unlikely Methods: A survey was emailed to all accredited anesthesiology residency program coordinators in April 2018 for further distribution to their CA3 residents. The survey collected data on the resident’s perception of his or her preparedness to manage a variety of anesthesia cases, patients with comorbid conditions, and ethical issues as well as perform various procedures.
A Standards-based Approach to Development of Clinical Registries - Initial Le...Koray Atalag
This is the prezo I presented at HINZ 2014 conference.
Gestational diabetes has implications for both mother and child with risk of complications during pregnancy, and type 2 diabetes later in life. This paper presents the initial lessons learned from the development of a clinical registry. The aims of the Registry are: 1) 100% successful diabetes screening within 3 months of delivery; 2) Annual type 2 diabetes screening; 3) Early warning in subsequent pregnancies.
We have employed the openEHR standard which underpins our national interoperability reference architecture to represent the dataset and also to build the web-based registry system. Use of this rigorous methodology to tackle health information is expected to ensure semantic consistency of Registry data and maximise interoperability with other Sector projects. The development work has been facilitated by the ability to transform the dataset automatically into software code – ensuring clinical requirements accurately translated into technical terms.
Dataset has been finalised, registry system has been developed and deployed for pilot implementation. Data entry is underway for participants after consenting.
This registry is expected to increase the screening of women leading to earlier detection of diabetes. It should provide a valuable picture of the condition and is intended for extension and wider roll-out after evaluation.
Prof. Todor (Ted) A. Popov - 6th Clinical Research ConferenceStarttech Ventures
Ομιλία - Παρουσίαση: Prof. Todor (Ted) A. Popov, Professor of Medicine, Medical University in Sofia, Chairman of the Bulgarian Ethics Committee for Multicenter Studies
Τίτλος Παρουσίασης: «Do databases around the world speak the same language?»
The Role of Real-World Data in Clinical DevelopmentCovance
Healthcare is experiencing an avalanche of electronic data with sources that include social media, smart phones, activity trackers, electronic health records (EHRs), insurance claim databases, patient registries, health surveys, and more. **Disclaimer: This article was previously published. Sciformix is now a Covance company.
CANDIDATES FOR HIPPOCAMPAL SPARING14MethodologyTo evaluate .docxhumphrieskalyn
CANDIDATES FOR HIPPOCAMPAL SPARING 14
Methodology
To evaluate which patients would be higher priority candidates for hippocampal sparing, 3,000 participant treatment plans were evaluated via a cross-sectional differential research method. The method of research used in this study is considered differential and cross-sectional because groups of participants are different ages are compared on a set of variables and because participates of this study were assigned to groups based on preexisting factors.
Patients over the age of 18 and parents of participants under the age of 18 were asked to take part in the research. The aim of research was explained to them and informed consent was obtained by all participants prior to participating in the study. It was explained to participants, or parents of the participants, that data was going to be collected based on the treatment they received and that no additional experimentation with radiation was to be added to their treatment for the benefit of the research study, therefore, there was no additional risk to their treatment plan implemented by this differential research study. The study was subject to external review several credible institutions including the American Society for Therapeutic Radiology and Oncology (ASTRO).
Participants. Participants of this study were subjects who required WBRT and were evaluated in two categories. The two categories were based on treatment intent and will be separated into preexisting palliative and prophylactic categories. With age thought to be the most influential variable, participants in each category were further categorized into two subcategories based on age. Subjects of this study included subcategory A participates who were required to be 25 years of age and younger and subcategory B participants who were required to be 26 years old age and older based on prior research on brain development studies done by Giedd & Rapoport.
The cumulative sample size for the research study was 2,000 participants. 500 subcategory A and 500 subcategory B participants were included in each intent category. Subject exclusions included patients who were on hospice care, those on a concurrent chemotherapy regimen during their radiation therapy treatment and patients who had a treatment plan change after beginning their initially recommended treatment.
Treatment Intent
Total Number of Participants
A: Under 25
B: Over 25
Prophylactic
500
500
Palliative
500
500
Table 1. Visual representation of participants.
Data Collection Method. Data was collected from 20 Radiation Oncologist between 21 different cancer centers over a course of 18 months between January 2014 and June 2015. Two Oncologists at each cancer center participated in the study by collecting research and all had an average of 3 new WBRT patients per month. Each cancer center then treated an average of 6 new WBRT patients per month, 2,000 of which agreed to participate in the study. Data was collected from each ph ...
Nursing Evidence Based Practice PPT for BSN Nurses.
This ppt assess effectiveness of using NPWT for DFUs with providing highest level of evidence. DFUs are a prevalent issue in many countries and is treated via dressings which take a long time to heal but utilizing this method will certainly make the recovery faster.
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evi.docxchristinemaritza
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evidence
Mollie R. Cummins
Ginette A. Pepper
Susan D. Horn
The next step to comparative effectiveness research is to conduct more prospective large-scale observational cohort studies with the rigor described here for knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) studies.
Objectives
At the completion of this chapter the reader will be prepared to:
1.Define the goals and processes employed in knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) designs
2.Analyze the strengths and weaknesses of observational designs in general and of KDDM and PBE specifically
3.Identify the roles and activities of the informatics specialist in KDDM and PBE in healthcare environments
Key Terms
Comparative effectiveness research, 69
Confusion matrix, 62
Data mining, 61
Knowledge discovery and data mining (KDDM), 56
Machine learning, 56
Natural language processing (NLP), 58
Practice-based evidence (PBE), 56
Preprocessing, 56
Abstract
The advent of the electronic health record (EHR) and other large electronic datasets has revolutionized efficient access to comprehensive data across large numbers of patients and the concomitant capacity to detect subtle patterns in these data even with missing or less than optimal data quality. This chapter introduces two approaches to knowledge building from clinical data: (1) knowledge discovery and data mining (KDDM) and (2) practice-based evidence (PBE). The use of machine learning methods in retrospective analysis of routinely collected clinical data characterizes KDDM. KDDM enables us to efficiently and effectively analyze large amounts of data and develop clinical knowledge models for decision support. PBE integrates health information technology (health IT) products with cohort identification, prospective data collection, and extensive front-line clinician and patient input for comparative effectiveness research. PBE can uncover best practices and combinations of treatments for specific types of patients while achieving many of the presumed advantages of randomized controlled trials (RCTs).
Introduction
Leaders need to foster a shared learning culture for improving healthcare. This extends beyond the local department or institution to a value for creating generalizable knowledge to improve care worldwide. Sound, rigorous methods are needed by researchers and health professionals to create this knowledge and address practical questions about risks, benefits, and costs of interventions as they occur in actual clinical practice. Typical questions are as follows:
•Are treatments used in daily practice associated with intended outcomes?
•Can we predict adverse events in time to prevent or ameliorate them?
•What treatments work best for which patients?
•With limited financial resources, what are the best interventions to use for specific types of patients?
•What types of indi ...
On this webinar, we’ll hear from experts on the issue and invite an open conversation with stakeholders. We need discussion, shared questions and answers and a review of case studies, which is why we are hosting this session.
Panelist:
Neil Palmer, Principal Consultant, WN Palmer & Co. and former PMPRB staff
Michael Dietrich, Executive Director, Policy, Innovative Medicines Canada
Laurene Redding, Global Head, Strategic Pricing (ex-China), BeiGene
Durhane Wong-Rieger, President & CEO, CORD
Moderator: Bill Dempster, CEO, 3Sixty Public Affairs
CORD Rare Drug Conference: June 8-9, 2022
Registries and Real-World Data
INFORM RARE: Beth Potter, Alexandra Wyatt, Pranesh Chakraborty,
Monica Lamoureux, John Adams, Kim Angel
CORD Rare Drug Conference: June 8-9, 2022
Registries and Real-World Data
INFORM RARE: Beth Potter, Alexandra Wyatt, Pranesh Chakraborty,
Monica Lamoureux, John Adams, Kim Angel Opportunities and Challenges for Data Management
CORD Rare Drug Conference June 8-9, 2022
Global, International, and National Rare Disease Networks
Rare Disease Research Network and National Children’s Hospital - Marshall
Summar, Rare Disease Institute
CORD Rare Drug Conference: June 8-9, 2022
Global, International, and National Rare Disease Networks
WHO-RDI Global Rare Disease Network - Matt Bolz-Johnson, EURORDIS
CORD Rare Drug Conference: June 8-9, 2022
Global, International, and National Rare Disease Networks
Canadian Network of Rare Disease Centres of Excellence - Paula Robeson, Children’s Healthcare Canada
CORD Rare Drug Conference: June 8 - 9, 2022
The Ottawa Pediatric Bone Health Research Group and The Canadian Consortium for Children’s Bone Health/Canadian Alliance for Rare Disorders of the Skeleton - Leanne Ward, CHEO
More from Canadian Organization for Rare Disorders (20)
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
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1. Generating real-world evidence in rare
disease: The example of Spinal Muscular
Atrophy
Angela Paradis, ScD
Global Medical Director and Head of Data Generation,
Neuromuscular Diseases
Biogen
Cambridge, MA, USA
April 2022
3. CT, clinical trial; RDT, rare disease treatment; RWE, real-world evidence.
List of studies represents pivotal and key studies but is not a complete list.
Speaker’s own opinion.
RWD supplement evidence generated from CTs
RWD: Observational
vs.
CT: Interventional
CT
population
RWD
population
Real-world timeframe
Clinical trial timeframe
4. CT, randomized clinical trial; RWD, real-world data.
List of studies represents pivotal and key studies but is not a complete list.
1. Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430. 2. NCT02386553. 3. NCT02193074. 4. NCT04488133. 5. NCT02292537. 6. Darras BT, et al. Neurology. 2019;92:e2492-e2506. 7. NCT05067790. 8.
NCT04089566. 9. NCT03505099. 10. NCT03306277. 11. NCT02122952. 12. NCT03381729. 13. NCT03779334.14. NCT02913482. 15. NCT02908685. 16. NCT03032172. Available from: ClinicalTrials.gov. March 2022.
RWD supplement evidence generated from CTs
Pre-symptomatic Pediatric Adult
Nusinersen
Onasemnogene
abeparvovec
Risdiplam
NURTURE2
CS2/126
CHERISH5
RWD publications1
RESPOND4
DEVOTE8
ENDEAR3
SPR1NT9 STRIVE10 START11 STRONG12
RAINBOWFISH13
FIREFISH14
SUNFISH15
JEWELFISH16
Nusinersn study Onasemnogene abeparvovec study Risdiplam Study Ongoing trial
RWD: Observational
vs.
CT: Interventional
CT
population
RWD
population
Real-world timeframe
Clinical trial timeframe
ASCEND7
5. RDT, rare disease treatment; RWD, real-world data; RWE, rea-world evidence
1. Speaker’s own opinion. 2. Real-World Evidence. Available from: https://www.fda.gov/science-research/science-and-research-special-topics/real-world-evidence. Accessed March 2022
There are diverse sources of RWD and ways of generating RWE2
Disease registries can be used to study real-world
effectiveness and safety of RDTs
Disease registry
approach1
Protocol driven studies
Claims and
billing
Electronic health
records (EHRs)
Mobile devices
Registries
Other sources
Treatment value across patient population
Treatment effectiveness vs. natural history
Predictor of /time to treatment outcomes
Indirect comparisons between treatments
6. EMA, European Medicines Agency; SMA, spinal muscular atrophy.
1. European Medicines Agency: Patient Registries. Available from: https://www.ema.europa.eu/en/human-regulatory/post-authorisation/patient-registries. Accessed March 2022. 2. Raynaud S, et al. Presented at
ICNMD 2021.
Biogen has broadly supported this approach with multiple partners, following the
inception of EMA Patient Registries Initiative in 20151,2
SMA disease registry network: a global collaboration
Improve the capacity
and capability of
registries to collect
patient-level data
Standardize data
across registries to
an internationally
aligned core data set
Provide financial
support for data
collection and
sustainability
1. Harmonize data collection across
a broad patient population to
generate high-quality data for SMA
community
2. Characterize natural history
3. Characterize treatment patterns
and outcomes
4. Supplement clinical trial data to
support post-authorization
commitments and payers’ data
needs.
Specific objectives3
7. ICNMD, international congress on Neuromuscular Diseases; HCP, healthcare provider; HTA, health technology assessment; SMA, spinal muscular atrophy.
Raynaud S, et al. Presented at ICNMD 2021.
Meeting the needs of the SMA community, HCPs, researchers, regulators, payors,
and Industry
Biogen-supported SMA registry collaborations
4,500 patients with SMA have been enrolled
across 18 registries/19 countries
Registries
Individual/collaborative
projects
Individual/aggregate
data
National/international
guidelines
Patient management and
standards of care
Scientific congresses,
meetings, and publications
Scientific congresses,
meetings, and publications
Regulators
HTA/payers
8. CT, clinical trial; EMA, European Medicines Agency; SMA, spinal muscular atrophy; SmPC, summary of product characteristics.
Speaker’s own opinion.
Utilizing data from SMA disease registries
Key advancements in
knowledge on the
natural history of SMA
Independent publications
on real-world
effectiveness,
supplementing CTs
Fulfill post-authorization
safety requirements
from regulatory bodies
Reimbursement
submissions to inform
treatment value in specific
patient populations
9. CT, clinical trial; EMA, European Medicines Agency; SMA, spinal muscular atrophy; SmPC, summary of product characteristics.
1. Nusinersen Managed Access Agreement treatment eligibility criteria evidence review: 5q Spinal Muscular Atrophy type III non-ambulant cohort. Available from:
https://www.nice.org.uk/guidance/ta588/evidence/external-assessment-centre-eac-report-pdf-9138885231. Accessed March 2022
Utilizing data from SMA disease registries
Key advancements in
knowledge on the
natural history of SMA
Independent publications
on real-world
effectiveness,
supplementing CTs
Fulfill post-authorization
safety requirements
from regulatory bodies
Reimbursement
submissions to inform
treatment value in specific
patient populations
Case:
Pooled European registry
analysis (2020) of data from
Italy, Germany and Spain helps
expand treatment access and
reimbursement for the adults
with SMA1
10. DMT, disease-modifying treatment.
Speaker’s own opinion.
Big data from large patient population allow for adequate matching of patients on
clinical characteristics and account for confounding variables
Registries provide opportunities for comparative
effectiveness analysis among DMTs
Challenges in comparing therapies
within clinical trials:
• Limited sample sizes
• Patient-level data not
retrievable
• Difference in trial design and
inclusion/exclusion criteria
11. RWD, real-world data.
Speaker’s own opinion.
Considerations for a disease registry to generating
robust RWD
Data Interoperability
•
Data standards and quality
•
Potential to pool data
Prespecified, flexible
statistical analysis plan
•
Transparent data
governance
•
Sustainability
Inclusion of patient-
relevant outcomes
12. Nusinersen in adults with 5q spinal muscular atrophy: a
non-interventional, multicentre, observational cohort
study
Hagenacker T, et al. Lancet Neurol. 2020;19(4):317-325.
13. Design & patients
HFMSE, Hammersmith Functional Motor Scale-Expanded; RULM, Revised Upper Limb Module 6MWT, 6-minute Walk Test
Hagenacker T, et al. Lancet. 2020;4;317-25.
14. Baseline characteristics
HFMSE, Hammersmith Functional Motor Scale-Expanded; RULM, Revised Upper Limb Module 6MWT, 6-minute Walk Test; SD, standard deviation
Hagenacker T, et al. Lancet. 2020;4;317-25.
15. Effectiveness findings
HFMSE, Hammersmith Functional Motor Scale-Expanded; RULM, Revised Upper Limb Module 6MWT, 6-minute Walk Test; CI, confidence interval
Hagenacker T, et al. Lancet. 2020;4;317-25.
16. Effectiveness findings
HFMSE, Hammersmith Functional Motor Scale-Expanded; RULM, Revised Upper Limb Module 6MWT, 6-minute Walk Test
Hagenacker T, et al. Lancet. 2020;4;317-25.
17. Subgroup analyses were performed using the Mann–Whitney U test.
BL, baseline; HFMSE, Hammersmith Functional Motor Scale-Expanded; SD, standard deviation.
Hagenacker T, et al. Lancet. 2020;4;317-25.
Changes in HFMSE score at 14-month analysis
Factors affecting response to treatment
Baseline HFMSE score Spondylodesis Ambulant SMA Type
High (≥ 35) Low (< 35) Y
es No Y
es No II III
n 22 35 14 43 23 34 20 37
Difference vs
BL (SD)
4.6 (4.2) 2.2 (3.7) 1.4 (1.3) 3.7 (4.4) 4.6 (4.4) 2.1 (3.4) 1.1 (1.4) 4.2 (4.5)
p value < 0.0001 < 0.0001 0.0078 < 0.0001 < 0.0001 < 0.0001 0.0059 < 0.0001
Preplanned subgroup analyses Post-hoc subgroup analyses
18. Safety
No new safety concerns
identified
AE, adverse event
Hagenacker T, et al. Lancet. 2020;4;317-25.
19. Strengths
• The largest real-world
independent study of
nusinersen use in
teenagers and adults
with SMA Type II or III
• Multicentre study:
10 clinical sites in
Germany with a follow-up
for up to 14 months
• Multiple outcomes
assessed
• Exploratory analyses: the
study allowed the
identification of different
responses in patients
with different functional
levels at baseline
Hagenacker T, et al. Lancet. 2020;4;317-25.
20. HFMSE, Hammersmith Functional Motor Scale-Expanded
Hagenacker T, et al. Lancet. 2020;4;317-25.
Limitations
• Descriptive observational
single-arm study with no
control or natural history
arm
• Heterogeneous cohort
(real-world study)
• Ceiling and floor effects
are not captured by
HFMSE (patients with
very poor and very strong
motor function)
ü
21. Author conclusions
This study shows the safety and efficacy of nusinersen treatment
in adult patients with 5q SMA, with statistically significant improvements
in motor function observed at all timepoints
Hagenacker T, et al. Lancet. 2020;4;317-25.
22. Nusinersen safety and effects on motor function in
adult spinal muscular atrophy type 2 and 3
Maggi L, et al. J Neurol Neurosurg Psychiatry. 2020;91(11):1166-1174
24. Baseline characteristics
HFMSE, Hammersmith Functional Motor Scale-Expanded; RULM, Revised Upper Limb Module 6MWT, 6-minute Walk Test; FVC, forced vital capacity
Maggi et al. J Neurol Neurosurg Psychiatry 2020;0:1-9.
25. Effectiveness findings
HFMSE, Hammersmith Functional Motor Scale-Expanded; RULM, Revised Upper Limb Module 6MWT, 6-minute Walk Test; FVC, forced vital capacity
Maggi et al. J Neurol Neurosurg Psychiatry 2020;0:1-9.
26. Safety
• Two patients reported worsening of existing hand
tremor and 1 patient reported renal colic
requiring hospitalization
• Two patients discontinued nusinersen due to
insufficient balance between benefit and
tolerability of lumbar puncture
• No relevant changes related to nusinersen were
observed in laboratory tests, including serum
creatinine
AE, adverse event
Maggi et al. J Neurol Neurosurg Psychiatry 2020;0:1-9.
27. Limitations
• Retrospective design • Small SMA Type II
sample size
• Missing data for some
variables
• Nominal statistical
significance (this
observational study had
open recruitment and
was not formally
enhanced for
effectiveness)
ü
HOWEVER
Retrospective studies present real-world data outside the rigid setting of clinical trials.
The few patients included with SMA Type II reflect the small prevalence of this condition in adults.
Maggi et al. J Neurol Neurosurg Psychiatry 2020;0:1-9.
28. Author conclusions
This study provides further real-world evidence of nusinersen safety and
efficacy in adult patients with SMA Types II and III, with the efficacy benefits
in SMA Type III appearing to be cumulative over time.
Maggi et al. J Neurol Neurosurg Psychiatry 2020;0:1-9.
29. Motor function in patients with Type II and III SMA
treated with nusinersen: a critical review and meta-
analysis
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430
31. HFMSE mean (SD)
change in adults
All studies in nusinersen-treated patients
reported positive HFMSE changes
irrespective of the age, SMA type or
functional level of the cohorts studied.
Square = SMA Type II; circle = SMA Type III; diamond = ambulant SMA Type III; triangle = non-ambulant SMA Type III; Symbol = mixed
phenotypes; blue = ~10 mo from initiation of drug; green = ~12 mo from initiation of drug; white = ~24 mo from infusion; light green
shade = SMA Type II; white shade = SMA Type III; striped shade = mixed phenotypes; italics = median value; not italicized = mean value
*Mean/median of baseline population not excluding drop-outs at 10, 14, or 24 mo of follow-up
**Mean/median of baseline population of both SMA Types II and III combined
HFMSE, Hammersmith Functional Motor Scale-Expanded; SD, standard deviation
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
32. HFMSE mean (SD) change in children
Square = SMA Type II; circle = SMA Type III; diamond = ambulant SMA Type III; triangle = non-ambulant SMA Type III; Symbol = mixed phenotypes; blue = ~10 mo from initiation of drug; green =
~12 mo from initiation of drug; white = ~24 mo from infusion; light green shade = SMA Type II; white shade = SMA Type III; striped shade = mixed phenotypes; italics = median value; not italicized
= mean value
*Mean/median of baseline population not excluding drop-outs at 10, 14, or 24 mo of follow-up**Mean/median of baseline population of both SMA Types II and III combined
HFMSE, Hammersmith Functional Motor Scale-Expanded; SD, standard deviation
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
33. RULM mean (SD) change in adults
Square = SMA Type II; circle = SMA Type III; diamond = ambulant SMA Type III; triangle = non-ambulant SMA Type III; Symbol = mixed phenotypes; blue = ~10
mo from initiation of drug; green = ~12 mo from initiation of drug; white = ~24 mo from infusion; light green shade = SMA Type II; white shade = SMA Type III;
striped shade = mixed phenotypes; italics = median value; not italicized = mean value *Mean/median of baseline population not excluding drop-outs at 10,
14, or 24 mo of follow-up **Mean/median of baseline population of both SMA Types II and III combined
RULM, Revised Upper Limb Module; SD, standard deviation
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
34. RULM mean (SD) change in children
Square = SMA Type II; circle = SMA Type III; diamond = ambulant SMA Type III; triangle = non-ambulant SMA Type III; Symbol = mixed phenotypes; blue = ~10 mo from initiation of drug; green = ~12 mo from initiation of drug; white =
~24 mo from infusion; light green shade = SMA Type II; white shade = SMA Type III; striped shade = mixed phenotypes; italics = median value; not italicized = mean value *Mean/median of baseline population not excluding drop-
outs at 10, 14, or 24 mo of follow-up **Mean/median of baseline population of both SMA Types II and III combined
RULM, Revised Upper Limb Module; SD, standard deviation
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
35. Effectiveness findings
HFMSE, Hammersmith Functional Motor Scale-Expanded; RULM, Revised Upper Limb Module 6MWT, 6-minute Walk Test; CI,
confidence interval; SE, standard error
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
36. Subgroup analysis
Subgroup analysis HFMSE score
pooled mean change
Pooled mean
change between the two populations
Age p = 0.320
Adult population 1.87, 95% CI 1.05–2.68
Paediatric population 2.98, 95% CI 0.97–4.99
SMA Type p = 0.780
SMA Type II 2.54, 95% CI 1.00–4.09
SMA Type III 2.26, 95% CI 1.06–3.47
Ambulatory status p = 0.730
ambulant 1.99, 95% CI 0.24–3.74
non-ambulant 2.39, 95% CI 0.99–3.79
All subgroups reported an increase in HFMSE scores
HFMSE, Hammersmith Functional Motor Scale-Expanded; CI, confidence interval
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
37. Limitations
• Limited number of real-
world studies despite
robust search strategy
• Number of participants
overall and in the
subgroups
• Broad confidence
intervals indicating
variability between
groups
• Missing or incomplete
baseline data prevented
analysis of variables
such as age, SMN2 copy
number or functional
ability
• 62% of studies have 1 or
2 high risk domains for
bias
• Different durations of
follow-up
• Safety outcomes were
not systematically
addressed
ü
SMN, spinal motor neuron
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
38. Author conclusions
• Nusinersen provides a favorable benefit in motor function across a wide
range of patients with SMA Type II and III over a 10- to 14-month
observation period
• Although a direct comparison with studies reporting data from untreated
patients cannot be made, the longitudinal changes in the motor functions
for the treated cohorts were consistently positive, whereas the changes in
the untreated cohorts were consistently negative
Coratti G, et al. Orphanet J Rare Dis. 2021;16(1):430.
39. HCP, healthcare provider, RWD, real-world data; SMA, spinal muscular atrophy.
Takeaways
RWD, generated
from diverse sources
in routine
healthcare, could fill
the evidence gaps in
assessing long-term
treatment outcomes
in real-world
population
Disease registry
approach, like the
SMA global registry
network, is important
to meet the needs of
patient community,
HCPs, researchers,
regulators, payors,
and industry
To generate reliable
RWD, it is critical to
ensure the quality
and sustainability of
data, robust analysis
plans and the
inclusion of patient-
relevant outcomes