Program of the 1st CUTEHeart Workshop, which will take place December 11 2014 at the Faculty of Medicine of the University of Lisbon, Portugal! A set of international and national speakers not to miss!
This document is a lab attendance card for a Soil Mechanics II practical course. It lists the name of the teaching assistant Marsudi Utomo and his student ID number. It also contains a table with the student ID numbers and names of the students in group 17, along with columns to record their attendance, marked by date and signature.
The document provides an agenda for the 2nd CUTEheart Workshop on Health Technology Assessment in Cardiovascular Disease held in Portugal on April 23rd, 2016. The workshop included sessions on international perspectives on health technology assessment in cardiovascular care, the main results and lessons from the CUTEheart project, and a round table discussion on implementing health technology assessment in Portugal. Speakers represented universities and research institutions from Portugal, the UK, USA, and Australia. The workshop provided an opportunity for stakeholders in cardiovascular health to discuss approaches to health technology assessment.
Poster presented at ISPOR Vienna 2016 LBacelar-NicolauLBNicolau
This document discusses a study that used multiple correspondence analysis to help identify health inequities across regions in Portugal. The study analyzed linked electronic health records of adults admitted to hospitals for acute myocardial infarction between 2012-2013. It found disparities between regions in recording health indicators like blood pressure and cholesterol. Regions with higher rates of no recording for indicators also had higher mortality rates. The multivariate analysis generated visual outputs that clearly showed regional inequities in mortality and quality of electronic health records, helping pinpoint areas that need policy action.
This document summarizes a study comparing treatment and outcomes of acute myocardial infarction (AMI) between Minneapolis-St. Paul, Minnesota and Goteborg, Sweden. It describes the study design, sampling methods, data collection process involving chart abstraction, definition of AMI, hospital facilities in the two locations, and outcomes assessed. The study found differences in AMI rates, use of treatments like procedures, medications and post-MI survival between the two locations over time, with convergence of some differences in later studies.
This document discusses methods for exploring causality using big health data and addressing potential biases. It covers some common biases like regression to the mean, Simpson's paradox, and confounding by indication. Emerging methods discussed to overcome biases include case-only study designs, regression discontinuity designs, Mendelian randomization, and instrumental variable techniques. The document also addresses the challenges of using routine healthcare data and when reliable causality assessment is most needed.
The document discusses challenges in evaluating the effectiveness of diagnostic tests and linking test results to patient outcomes. It notes that tests provide information to guide therapeutic decisions, so test effects are realized in the context of available therapies. Randomized trials of tests alone are difficult to design, but trials can compare strategies incorporating tests. Observational studies using large databases can also assess tests, but have limitations like lacking test findings and clinical context. The National Oncology PET Registry prospectively collected real-world data on how PET impacts management plans and found changes in 36.5% of cases. However, it did not evaluate if changes improved outcomes. Combining registries with claims data can provide more longitudinal information but also has weaknesses. Evaluating newer diagnostics
2nd CUTEHeart Workshop Manuel Gomes PresentationLBNicolau
1) The document discusses non-compliance in randomized controlled trials comparing vascular and endovascular interventions, where patients may not follow their randomized treatment.
2) It presents the IMPROVE trial comparing endovascular aneurysm repair (EVAR) to open repair for ruptured abdominal aortic aneurysms, which had high levels of non-compliance as patients switched between treatments.
3) Instrumental variable methods are proposed to estimate the causal effect of treatments by using randomization as an instrument, as these methods can provide less biased estimates than intention-to-treat when non-compliance is high. The results of applying these methods to the IMPROVE trial data are also presented.
This document is a lab attendance card for a Soil Mechanics II practical course. It lists the name of the teaching assistant Marsudi Utomo and his student ID number. It also contains a table with the student ID numbers and names of the students in group 17, along with columns to record their attendance, marked by date and signature.
The document provides an agenda for the 2nd CUTEheart Workshop on Health Technology Assessment in Cardiovascular Disease held in Portugal on April 23rd, 2016. The workshop included sessions on international perspectives on health technology assessment in cardiovascular care, the main results and lessons from the CUTEheart project, and a round table discussion on implementing health technology assessment in Portugal. Speakers represented universities and research institutions from Portugal, the UK, USA, and Australia. The workshop provided an opportunity for stakeholders in cardiovascular health to discuss approaches to health technology assessment.
Poster presented at ISPOR Vienna 2016 LBacelar-NicolauLBNicolau
This document discusses a study that used multiple correspondence analysis to help identify health inequities across regions in Portugal. The study analyzed linked electronic health records of adults admitted to hospitals for acute myocardial infarction between 2012-2013. It found disparities between regions in recording health indicators like blood pressure and cholesterol. Regions with higher rates of no recording for indicators also had higher mortality rates. The multivariate analysis generated visual outputs that clearly showed regional inequities in mortality and quality of electronic health records, helping pinpoint areas that need policy action.
This document summarizes a study comparing treatment and outcomes of acute myocardial infarction (AMI) between Minneapolis-St. Paul, Minnesota and Goteborg, Sweden. It describes the study design, sampling methods, data collection process involving chart abstraction, definition of AMI, hospital facilities in the two locations, and outcomes assessed. The study found differences in AMI rates, use of treatments like procedures, medications and post-MI survival between the two locations over time, with convergence of some differences in later studies.
This document discusses methods for exploring causality using big health data and addressing potential biases. It covers some common biases like regression to the mean, Simpson's paradox, and confounding by indication. Emerging methods discussed to overcome biases include case-only study designs, regression discontinuity designs, Mendelian randomization, and instrumental variable techniques. The document also addresses the challenges of using routine healthcare data and when reliable causality assessment is most needed.
The document discusses challenges in evaluating the effectiveness of diagnostic tests and linking test results to patient outcomes. It notes that tests provide information to guide therapeutic decisions, so test effects are realized in the context of available therapies. Randomized trials of tests alone are difficult to design, but trials can compare strategies incorporating tests. Observational studies using large databases can also assess tests, but have limitations like lacking test findings and clinical context. The National Oncology PET Registry prospectively collected real-world data on how PET impacts management plans and found changes in 36.5% of cases. However, it did not evaluate if changes improved outcomes. Combining registries with claims data can provide more longitudinal information but also has weaknesses. Evaluating newer diagnostics
2nd CUTEHeart Workshop Manuel Gomes PresentationLBNicolau
1) The document discusses non-compliance in randomized controlled trials comparing vascular and endovascular interventions, where patients may not follow their randomized treatment.
2) It presents the IMPROVE trial comparing endovascular aneurysm repair (EVAR) to open repair for ruptured abdominal aortic aneurysms, which had high levels of non-compliance as patients switched between treatments.
3) Instrumental variable methods are proposed to estimate the causal effect of treatments by using randomization as an instrument, as these methods can provide less biased estimates than intention-to-treat when non-compliance is high. The results of applying these methods to the IMPROVE trial data are also presented.
A great positive evaluation of our 1st CUTEHeart Workshop! Thank you all participants, speakers, sponsors, organizers that made this event such a success!
1) Health services research uses observational studies and administrative data to evaluate how policies, financing systems, and healthcare delivery impact access, quality, and costs of healthcare.
2) Studies of Medicaid administrative data have provided lessons on improving mental healthcare, finding underuse of effective treatments for schizophrenia and poor but improving quality of care overall.
3) Key findings include evidence that quality of care and racial/ethnic disparities vary significantly between states and within states, and that disparities in effective care like clozapine use are larger for minority groups.
Oral Presentation at ISPOR Portugal 2016 LBacelar-NicolauLBNicolau
Our presentation "Helping Decision-Makers Visualize Inequities In Health Impact Assessment: Linked Electronic Records, Mortality And Regional Disparities In Portugal" went very well. Lots of interesting questions at the end!
Claudia presented her poster "Treating Coronary Heart Disease in Diabetic Patients: a systematic review of systematic reviews" at the CUTEHeart Poster session of CPC2016.
Frederic S. Resnic, MD discusses challenges with post-market medical device safety surveillance and presents strategies to improve surveillance. Key differences between drugs and devices make population-based surveillance of devices difficult but device registries and unique device identifiers can help. The FDA is developing new active surveillance methods like the Sentinel program to more proactively monitor device safety using large clinical databases. The DELTA program is also exploring automated surveillance of device safety using registry data.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
A great positive evaluation of our 1st CUTEHeart Workshop! Thank you all participants, speakers, sponsors, organizers that made this event such a success!
1) Health services research uses observational studies and administrative data to evaluate how policies, financing systems, and healthcare delivery impact access, quality, and costs of healthcare.
2) Studies of Medicaid administrative data have provided lessons on improving mental healthcare, finding underuse of effective treatments for schizophrenia and poor but improving quality of care overall.
3) Key findings include evidence that quality of care and racial/ethnic disparities vary significantly between states and within states, and that disparities in effective care like clozapine use are larger for minority groups.
Oral Presentation at ISPOR Portugal 2016 LBacelar-NicolauLBNicolau
Our presentation "Helping Decision-Makers Visualize Inequities In Health Impact Assessment: Linked Electronic Records, Mortality And Regional Disparities In Portugal" went very well. Lots of interesting questions at the end!
Claudia presented her poster "Treating Coronary Heart Disease in Diabetic Patients: a systematic review of systematic reviews" at the CUTEHeart Poster session of CPC2016.
Frederic S. Resnic, MD discusses challenges with post-market medical device safety surveillance and presents strategies to improve surveillance. Key differences between drugs and devices make population-based surveillance of devices difficult but device registries and unique device identifiers can help. The FDA is developing new active surveillance methods like the Sentinel program to more proactively monitor device safety using large clinical databases. The DELTA program is also exploring automated surveillance of device safety using registry data.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
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