“Evidenced based” behavioral medicine as bad as bad pharmaJames Coyne
Introduction to symposium held at International Congress of Behavioral Medicine, Groningen, August 2014. Discusses the shortcomings of evidence-based behavioral medicine in light of efforts to reform the shortcomings of the Pharma literature.
Bias, confounding and causality in p'coepidemiological researchsamthamby79
A brief description of three issues (Bias, Confounding and Causality) commonly encountered while performing pharmacoepidemiological research. A big THANK YOU to Mr. Strom and Mr. Kimmel.
This document discusses various types of bias, confounding, and causation that can occur in epidemiological studies. It defines a confounder as a variable that is associated with the exposure and affects the outcome but is not in the causal pathway. Three main types of bias are described: selection bias, information bias, and confounding. Specific biases like recall bias, observer bias, and non-respondent bias are explained. Methods for controlling confounding like matching, stratification, and multivariate analysis are also outlined. The document concludes by discussing Hill's criteria for determining a causal association and threats to the internal and external validity of experimental studies.
The document discusses various methods to control for confounding in epidemiological studies, including randomization, restriction, matching, and multivariate analysis. Randomization can reduce confounding by unknown factors, but residual confounding may remain if baseline characteristics are not equally distributed after randomization. Restriction controls confounding by only including subjects with specific levels of a confounding variable, but may limit the sample size and residual confounding could remain if restriction categories are too broad. Matching controls for confounding by selecting control subjects to have the same distribution of a confounding factor as exposed subjects, but has disadvantages such as increasing costs and sample size limitations.
1. Pharmacoepidemiology studies aim to answer relevant questions about drug effects, side effects, and value that arise following drug registration and widespread use.
2. Observational study designs like cohort studies and case-control studies are often used in pharmacoepidemiology as they allow investigation of exposures and outcomes that would be unethical or impractical to study experimentally.
3. Both study design and analysis must account for potential biases like selection bias and information bias to obtain valid results.
This document discusses drug risk assessment and pharmacoepidemiology. It notes that clinical trials prior to drug approval are limited in detecting uncommon or long-term side effects. Observational studies using large patient populations are needed to further evaluate drug safety issues and understand rare or long-term side effects. The document compares different pharmacoepidemiological study designs like cohort studies and case-control studies that can be used to investigate drug safety questions following a drug's approval and entry into widespread use.
The document discusses issues around the marketing of pharmaceutical drugs. It notes that pharmaceutical marketing can influence doctors' prescribing decisions and priorities. Several studies cited found that doctors view drug sales representatives as an important source of information. The document then outlines a proposed research agenda to further examine the extent and impact of pharmaceutical marketing, including potential costs and benefits to health systems and policies around transparency. It concludes by noting concerns that extensive marketing practices could undermine affordable medical care.
“Evidenced based” behavioral medicine as bad as bad pharmaJames Coyne
Introduction to symposium held at International Congress of Behavioral Medicine, Groningen, August 2014. Discusses the shortcomings of evidence-based behavioral medicine in light of efforts to reform the shortcomings of the Pharma literature.
Bias, confounding and causality in p'coepidemiological researchsamthamby79
A brief description of three issues (Bias, Confounding and Causality) commonly encountered while performing pharmacoepidemiological research. A big THANK YOU to Mr. Strom and Mr. Kimmel.
This document discusses various types of bias, confounding, and causation that can occur in epidemiological studies. It defines a confounder as a variable that is associated with the exposure and affects the outcome but is not in the causal pathway. Three main types of bias are described: selection bias, information bias, and confounding. Specific biases like recall bias, observer bias, and non-respondent bias are explained. Methods for controlling confounding like matching, stratification, and multivariate analysis are also outlined. The document concludes by discussing Hill's criteria for determining a causal association and threats to the internal and external validity of experimental studies.
The document discusses various methods to control for confounding in epidemiological studies, including randomization, restriction, matching, and multivariate analysis. Randomization can reduce confounding by unknown factors, but residual confounding may remain if baseline characteristics are not equally distributed after randomization. Restriction controls confounding by only including subjects with specific levels of a confounding variable, but may limit the sample size and residual confounding could remain if restriction categories are too broad. Matching controls for confounding by selecting control subjects to have the same distribution of a confounding factor as exposed subjects, but has disadvantages such as increasing costs and sample size limitations.
1. Pharmacoepidemiology studies aim to answer relevant questions about drug effects, side effects, and value that arise following drug registration and widespread use.
2. Observational study designs like cohort studies and case-control studies are often used in pharmacoepidemiology as they allow investigation of exposures and outcomes that would be unethical or impractical to study experimentally.
3. Both study design and analysis must account for potential biases like selection bias and information bias to obtain valid results.
This document discusses drug risk assessment and pharmacoepidemiology. It notes that clinical trials prior to drug approval are limited in detecting uncommon or long-term side effects. Observational studies using large patient populations are needed to further evaluate drug safety issues and understand rare or long-term side effects. The document compares different pharmacoepidemiological study designs like cohort studies and case-control studies that can be used to investigate drug safety questions following a drug's approval and entry into widespread use.
The document discusses issues around the marketing of pharmaceutical drugs. It notes that pharmaceutical marketing can influence doctors' prescribing decisions and priorities. Several studies cited found that doctors view drug sales representatives as an important source of information. The document then outlines a proposed research agenda to further examine the extent and impact of pharmaceutical marketing, including potential costs and benefits to health systems and policies around transparency. It concludes by noting concerns that extensive marketing practices could undermine affordable medical care.
The document provides guidelines from the World Federation of Societies of Biological Psychiatry (WFSBP) for the pharmacological treatment of bipolar disorder mania. It recommends several first-line monotherapy options with a Category A, Recommendation Grade 1 rating, including lithium, valproate, aripiprazole, quetiapine, risperidone, olanzapine, and ziprasidone. For patients with an incomplete or lack of response, it provides an algorithm for switching medications or adding a second agent. The guidelines are based on a systematic review of clinical studies and aim to provide evidence-based treatment recommendations.
Initial progress on the journey toward an open source potential drug-drug int...Richard Boyce, PhD
Presentation given at the 33rd VistA Community Meeting - George Mason University focusing on progress towards and open source potential drug interaction knowledge base
Finding Different Types of Medical Conditions: From Data Generation to Automa...Jinho Choi
One of the challenges analyzing medical conditions in unstructured data is in determining whether they are reported as indications or side effects. Classifying different types of medical conditions enables a deeper understanding of disease manifestation and treatment risk, helping further research in this field. In our study, we collect medical forum posts, annotate different types of medical conditions, and classify medical conditions into indications and side effects using natural language processing and machine learning techniques.
Prescription Event Monitoring & Record Linkage SystemsSatish Veerla
- Prescription-Event Monitoring (PEM) is a non-interventional observational cohort technique used to study the safety of new medications prescribed by general practitioners. It involves collecting data on all clinical events reported by patients after being prescribed a new drug.
- PEM provides clinically useful safety information as it establishes incidence densities for all reported events during treatment with the monitored drug based on data collected from the first 5,000-18,000 prescriptions. This allows for comparisons of event rates before and after drug use.
- While PEM provides nationally representative data on new drugs in real-world settings, it also has disadvantages like an inability to measure compliance or determine use of non-prescription medications.
1) Use of psychiatric drugs in the US has increased dramatically in recent decades, with 10% of the population prescribed antidepressants by 2005 and antipsychotics ranking as the top prescription drug in 2009.
2) However, clinical trials have found most psychiatric drugs to be only marginally more effective than placebo for depression and anxiety in adults. For children and adolescents, antidepressants actually show increased risks of suicidality compared to placebo in clinical trials.
3) Stimulants for ADHD show minimal benefits beyond reducing symptoms, with risks including decreased growth and potential for serious adverse cardiac and psychiatric effects. Long-term studies found medication no more effective than behavioral therapies.
Is everything we eat associated with cancer? A systematic cookbook reviewWouter de Heij
This document summarizes a study that analyzed 50 common food ingredients from a cookbook to examine conclusions about their association with cancer risk in published studies. The researchers searched PubMed for recent studies on each ingredient and cancer risk. They found that 40 ingredients (80%) had been studied, with 72% of single studies concluding an association, whether increased or decreased, but only 26% of meta-analyses found an association. Effect sizes were larger in single studies compared to meta-analyses. Many single studies highlighted associations even when evidence was weak.
This document discusses personalized medicine and how considering individual patient characteristics can help improve treatment outcomes. It makes the following key points:
1. Current "one-size-fits-all" drug treatment approaches do not account for individual differences and can lead to unsatisfactory response rates, increased costs, and safety issues.
2. Personalized medicine aims to use a patient's demographics, medical history, and molecular information to better define therapies through an integrated approach of diagnostics and therapeutics called "theranostics".
3. A personalized approach that considers a patient's genetics, metabolism, concurrent diseases and environment factors can help achieve improved therapeutic outcomes by providing tailored treatment.
This document discusses different types of field trials and clinical trials. It describes trials based on their purpose (e.g. pharmacological, therapeutic effect), control (e.g. uncontrolled, randomized controlled), scale (e.g. exploratory, confirmatory), and design (e.g. parallel group, crossover, sequential, factorial). Key considerations for trial protocols include the primary hypothesis, experimental units, population, admission/exclusion criteria, blinding, data collection and analysis methods. The goal is to evaluate treatments under controlled and operational conditions to accurately assess efficacy and safety.
Vitiligo and alopecia areata are both common, T cell-driven autoimmune diseases of the skin. Recognizing
similarities and differences between these diseases will promote a more complete understanding of their
pathogenesis as well as the development of new treatments.
This document discusses pharmacoepidemiology and its objectives, introduction, methods, benefits and applications.
1. Pharmacoepidemiology applies epidemiological methods to study drug use and effects in large populations after approval.
2. It is primarily concerned with post-marketing drug safety surveillance using non-experimental study designs.
3. Key objectives include identifying reasons for adverse drug reactions observed in clinical practice.
This study investigated prescription drug misuse and nonmedical use among college students. The researchers surveyed 288 students about their prescription drug and substance use behaviors. They found that 7.3% reported misusing prescription drugs and 16.7% reported nonmedical prescription drug use. Stimulants and painkillers were the most commonly misused drugs, while stimulants were the most commonly used nonmedically. The study also found associations between nonmedical prescription drug use and binge drinking and smoking, but not between prescription drug misuse and these behaviors. The researchers concluded that prescription drug misuse and nonmedical use may be linked to other risky health behaviors in college students.
Randomized control trial is so called because the patients who constitute the unit of study are allocated into ‘study group’ and ‘control group’ at random depending upon whether they receive or do not receive the intervention.
Prescription event monitoring and record linkage systemVineetha Menon
This document discusses record linkage and its use in pharmacovigilance. Record linkage involves combining records from different data sources that relate to the same individual to create a single longitudinal record. It allows rapid access to a patient's complete medical history across different data sources. This reduces the time needed to study relationships between drug exposure and health outcomes. Challenges include ensuring data quality and completeness when integrating records from various sources.
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology. I highlight some bioinformatic roles in the drug discovery process, and discuss the use of semantic web technologies for data integration and knowledge discovery..
Personalized Medicine – From Theory to Practice as presented by keynote speaker Ralph Snyderman, MD; Director of the Center for Research on Prospective Health Care, James B. Duke Professor of Medicine, Chancellor Emeritus, Duke University
Randomization is a key process in clinical trials that assigns participants to treatment groups in a way that limits bias. It aims to balance groups so they are similar in all ways except for the intervention received. Common randomization methods include coin tossing, random number tables, and computer generation of sequences. Block and stratified randomization can help produce balanced groups with comparable characteristics. Blinding of participants, investigators, and assessors is important to prevent biases from influencing outcomes. Inclusion and exclusion criteria define who can participate in a clinical trial based on factors like age, sex, disease characteristics, and medical history.
The slides from the keynote given by Dr. Dan Malone RPh, PhD at the First International Drug-Drug Interaction Knowledge Representation Workshop on October 6th 2014 (http://icbo14.com/sessions/drug-drug-interaction-knowledge-representation-workshop/). Posted with his permission.
- Pharmacoepidemiology is the study of the use and effects of medications in large populations. It applies epidemiological methods to study drug effects and usage patterns in human populations.
- Several drug safety events throughout history led to the evolution and increased importance of pharmacoepidemiology, including the Elixir Sulfanilamide tragedy in 1937 and the Thalidomide crisis in the 1960s.
- Pharmacoepidemiology utilizes various study designs like case reports, case series, cross-sectional studies, cohort studies, and case-control studies to generate and test hypotheses about medication risks and benefits at a population level.
Types Of Clinical Trials And Its Significance Clinical trials means medical research studies involving people. They are divided into different stages, called phases. The earliest phase trials might focus at whether a drug is safe or the side effects it causes. A later phase trial aims to test and compare whether a new treatment is better than existing ones.also checkwhy clinical trials are important in clinical research.
Evidence-Based Medicine: Study Designs (Part 2)Ashish Advani
This document discusses key aspects of primary literature to evaluate, including observational studies and randomized controlled trials. It identifies important factors to consider such as the study design addressing the objective, the methods allowing support or rejection of hypotheses and using appropriate analyses, results following the objectives and measures, and conclusions being supported by the information in the report. The discussion should consider statistical and clinical significance of the data and fairly assess treatment benefits versus risks.
Google, IBM, 23andMe, Medisafe, PillPack, and wearable technologies like the Apple Watch are disrupting healthcare through data collection and analysis. These technologies have the potential to develop new diagnostics and treatments through aggregating medical records, genetic data, activity data, and other health information. For example, Medisafe and PillPack use digital tools to help patients better manage medication adherence, which could help address issues like half of Americans not taking their medications properly. Overall, emerging technologies are leveraging vast amounts of health data to drive innovations that may transform disease prevention and treatment.
The document provides guidelines from the World Federation of Societies of Biological Psychiatry (WFSBP) for the pharmacological treatment of bipolar disorder mania. It recommends several first-line monotherapy options with a Category A, Recommendation Grade 1 rating, including lithium, valproate, aripiprazole, quetiapine, risperidone, olanzapine, and ziprasidone. For patients with an incomplete or lack of response, it provides an algorithm for switching medications or adding a second agent. The guidelines are based on a systematic review of clinical studies and aim to provide evidence-based treatment recommendations.
Initial progress on the journey toward an open source potential drug-drug int...Richard Boyce, PhD
Presentation given at the 33rd VistA Community Meeting - George Mason University focusing on progress towards and open source potential drug interaction knowledge base
Finding Different Types of Medical Conditions: From Data Generation to Automa...Jinho Choi
One of the challenges analyzing medical conditions in unstructured data is in determining whether they are reported as indications or side effects. Classifying different types of medical conditions enables a deeper understanding of disease manifestation and treatment risk, helping further research in this field. In our study, we collect medical forum posts, annotate different types of medical conditions, and classify medical conditions into indications and side effects using natural language processing and machine learning techniques.
Prescription Event Monitoring & Record Linkage SystemsSatish Veerla
- Prescription-Event Monitoring (PEM) is a non-interventional observational cohort technique used to study the safety of new medications prescribed by general practitioners. It involves collecting data on all clinical events reported by patients after being prescribed a new drug.
- PEM provides clinically useful safety information as it establishes incidence densities for all reported events during treatment with the monitored drug based on data collected from the first 5,000-18,000 prescriptions. This allows for comparisons of event rates before and after drug use.
- While PEM provides nationally representative data on new drugs in real-world settings, it also has disadvantages like an inability to measure compliance or determine use of non-prescription medications.
1) Use of psychiatric drugs in the US has increased dramatically in recent decades, with 10% of the population prescribed antidepressants by 2005 and antipsychotics ranking as the top prescription drug in 2009.
2) However, clinical trials have found most psychiatric drugs to be only marginally more effective than placebo for depression and anxiety in adults. For children and adolescents, antidepressants actually show increased risks of suicidality compared to placebo in clinical trials.
3) Stimulants for ADHD show minimal benefits beyond reducing symptoms, with risks including decreased growth and potential for serious adverse cardiac and psychiatric effects. Long-term studies found medication no more effective than behavioral therapies.
Is everything we eat associated with cancer? A systematic cookbook reviewWouter de Heij
This document summarizes a study that analyzed 50 common food ingredients from a cookbook to examine conclusions about their association with cancer risk in published studies. The researchers searched PubMed for recent studies on each ingredient and cancer risk. They found that 40 ingredients (80%) had been studied, with 72% of single studies concluding an association, whether increased or decreased, but only 26% of meta-analyses found an association. Effect sizes were larger in single studies compared to meta-analyses. Many single studies highlighted associations even when evidence was weak.
This document discusses personalized medicine and how considering individual patient characteristics can help improve treatment outcomes. It makes the following key points:
1. Current "one-size-fits-all" drug treatment approaches do not account for individual differences and can lead to unsatisfactory response rates, increased costs, and safety issues.
2. Personalized medicine aims to use a patient's demographics, medical history, and molecular information to better define therapies through an integrated approach of diagnostics and therapeutics called "theranostics".
3. A personalized approach that considers a patient's genetics, metabolism, concurrent diseases and environment factors can help achieve improved therapeutic outcomes by providing tailored treatment.
This document discusses different types of field trials and clinical trials. It describes trials based on their purpose (e.g. pharmacological, therapeutic effect), control (e.g. uncontrolled, randomized controlled), scale (e.g. exploratory, confirmatory), and design (e.g. parallel group, crossover, sequential, factorial). Key considerations for trial protocols include the primary hypothesis, experimental units, population, admission/exclusion criteria, blinding, data collection and analysis methods. The goal is to evaluate treatments under controlled and operational conditions to accurately assess efficacy and safety.
Vitiligo and alopecia areata are both common, T cell-driven autoimmune diseases of the skin. Recognizing
similarities and differences between these diseases will promote a more complete understanding of their
pathogenesis as well as the development of new treatments.
This document discusses pharmacoepidemiology and its objectives, introduction, methods, benefits and applications.
1. Pharmacoepidemiology applies epidemiological methods to study drug use and effects in large populations after approval.
2. It is primarily concerned with post-marketing drug safety surveillance using non-experimental study designs.
3. Key objectives include identifying reasons for adverse drug reactions observed in clinical practice.
This study investigated prescription drug misuse and nonmedical use among college students. The researchers surveyed 288 students about their prescription drug and substance use behaviors. They found that 7.3% reported misusing prescription drugs and 16.7% reported nonmedical prescription drug use. Stimulants and painkillers were the most commonly misused drugs, while stimulants were the most commonly used nonmedically. The study also found associations between nonmedical prescription drug use and binge drinking and smoking, but not between prescription drug misuse and these behaviors. The researchers concluded that prescription drug misuse and nonmedical use may be linked to other risky health behaviors in college students.
Randomized control trial is so called because the patients who constitute the unit of study are allocated into ‘study group’ and ‘control group’ at random depending upon whether they receive or do not receive the intervention.
Prescription event monitoring and record linkage systemVineetha Menon
This document discusses record linkage and its use in pharmacovigilance. Record linkage involves combining records from different data sources that relate to the same individual to create a single longitudinal record. It allows rapid access to a patient's complete medical history across different data sources. This reduces the time needed to study relationships between drug exposure and health outcomes. Challenges include ensuring data quality and completeness when integrating records from various sources.
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology. I highlight some bioinformatic roles in the drug discovery process, and discuss the use of semantic web technologies for data integration and knowledge discovery..
Personalized Medicine – From Theory to Practice as presented by keynote speaker Ralph Snyderman, MD; Director of the Center for Research on Prospective Health Care, James B. Duke Professor of Medicine, Chancellor Emeritus, Duke University
Randomization is a key process in clinical trials that assigns participants to treatment groups in a way that limits bias. It aims to balance groups so they are similar in all ways except for the intervention received. Common randomization methods include coin tossing, random number tables, and computer generation of sequences. Block and stratified randomization can help produce balanced groups with comparable characteristics. Blinding of participants, investigators, and assessors is important to prevent biases from influencing outcomes. Inclusion and exclusion criteria define who can participate in a clinical trial based on factors like age, sex, disease characteristics, and medical history.
The slides from the keynote given by Dr. Dan Malone RPh, PhD at the First International Drug-Drug Interaction Knowledge Representation Workshop on October 6th 2014 (http://icbo14.com/sessions/drug-drug-interaction-knowledge-representation-workshop/). Posted with his permission.
- Pharmacoepidemiology is the study of the use and effects of medications in large populations. It applies epidemiological methods to study drug effects and usage patterns in human populations.
- Several drug safety events throughout history led to the evolution and increased importance of pharmacoepidemiology, including the Elixir Sulfanilamide tragedy in 1937 and the Thalidomide crisis in the 1960s.
- Pharmacoepidemiology utilizes various study designs like case reports, case series, cross-sectional studies, cohort studies, and case-control studies to generate and test hypotheses about medication risks and benefits at a population level.
Types Of Clinical Trials And Its Significance Clinical trials means medical research studies involving people. They are divided into different stages, called phases. The earliest phase trials might focus at whether a drug is safe or the side effects it causes. A later phase trial aims to test and compare whether a new treatment is better than existing ones.also checkwhy clinical trials are important in clinical research.
Evidence-Based Medicine: Study Designs (Part 2)Ashish Advani
This document discusses key aspects of primary literature to evaluate, including observational studies and randomized controlled trials. It identifies important factors to consider such as the study design addressing the objective, the methods allowing support or rejection of hypotheses and using appropriate analyses, results following the objectives and measures, and conclusions being supported by the information in the report. The discussion should consider statistical and clinical significance of the data and fairly assess treatment benefits versus risks.
Google, IBM, 23andMe, Medisafe, PillPack, and wearable technologies like the Apple Watch are disrupting healthcare through data collection and analysis. These technologies have the potential to develop new diagnostics and treatments through aggregating medical records, genetic data, activity data, and other health information. For example, Medisafe and PillPack use digital tools to help patients better manage medication adherence, which could help address issues like half of Americans not taking their medications properly. Overall, emerging technologies are leveraging vast amounts of health data to drive innovations that may transform disease prevention and treatment.
La persona tuvo dificultad para rellenar los datos requeridos en el ejercicio, pero no menciona otros desafíos. Realizó una reflexión sobre el tercer ejercicio, aunque no proporciona detalles sobre el contenido de esa reflexión.
NUTRILITE™ Детские жевательные пастилки — это уникальный комплекс, специально разработанный в качестве источника кальция, магния и витамина D для ребенка в период активного роста.
Slideshare es una plataforma web que permite a los usuarios almacenar y compartir presentaciones como PowerPoint. Fue lanzada en 2006 para que los empleados compartieran diapositivas entre sí, pero ahora permite que cualquier persona cargue y comparta presentaciones de manera pública o privada. Los usuarios pueden crear una cuenta, cargar archivos en formato PowerPoint u OpenOffice, y luego compartirlos a través de enlaces o correo electrónico.
Yu Ming's case study analyzes Chinese language assessment data from multiple levels to understand students' strengths and weaknesses in order to modify and improve instruction. The data is analyzed to determine teaching objectives and strategies, such as re-teaching concepts to the whole class, focusing on skills in small groups, or individual tutoring. The strategies are then implemented and ongoing assessment data is collected as part of a continuous process of instructional improvement based on student needs.
Este documento presenta el proyecto de vida de Exavier Blasini. Incluye detalles personales como su nombre, edad y lugar de nacimiento. También describe su historial educativo y laboral, actualmente trabaja como analista de seguridad industrial. Su visión es convertirse en psicólogo-ergónomo para ayudar a resolver conflictos laborales. Sus metas incluyen continuar su educación y mejorar su nivel de inglés. Realiza un análisis FODA identificando sus fortalezas como su carácter y valores, oportunidades de des
‘Spike’ Trading Strategy | SchoolOfTrade Newsletter 03/28/17Joseph James
Crude Oil is bullish, but a resistance trend-line and a measured-move are making this difficult for them to keep control, and we know that sellers are most likely looking for an opportunity to sell into the highs as we speak.
S&P is bullish, but a spike & channel on the chart, combined with a resistance trend-line are both giving the bears an easy window of opportunity to take control tomorrow.
Gold is bearish, but an overshoot of the channel is telling us to stay patient, and look for selling opportunities using the reversal-line and ‘battle zone’ overhead.
Euro is bearish with a strong ‘spike’ lower, which tells us to stay patient for a ‘trap high’ around the moving-average and watch for one of four likely scenarios tomorrow.
FDAX is bullish, but the recent ‘trap low’ gave the bulls the opportunity they needed just a few hours ago, so our plan is to wait for a correction or look for a breakout-pullback.
This document provides an overview of an evidence-based medicine (EBM) curriculum consisting of 3 modules: 1) Introduction to EBM, 2) Applying EBM to diagnosis, and 3) Applying EBM to treatment. It was prepared by faculty at Emory University School of Medicine and discusses the history and importance of EBM, how to formulate clinical questions and find the best evidence to answer them, and how to critically appraise and apply evidence to patient care.
This document provides an introduction to evidence-based practice (EBP) for nurses. It defines EBP as incorporating the best available scientific evidence, clinical expertise, and patient preferences. The document notes that while EBP is crucial for improving quality of care, only 15% of current nursing practice is scientifically validated. Barriers to EBP include limited time and lack of skills/confidence to implement it. The document recommends regular education programs to teach nurses how to find, evaluate, and apply research evidence through the five steps of EBP. Implementing EBP can empower nurses and improve patient outcomes, clinical excellence, and job satisfaction.
At the end of this presentation you will be able to:
Define evidence-based practice
Describe process & outline steps of EBP
Understand PICO elements & search strategy
Identify resources to support EBP
The focus of this presentation is nursing practice, although it is still of value to physicians and other health care professionals.
This document discusses evidence-based nursing and its evolution over time. It provides definitions of key terms like evidence-based medicine and evidence-based nursing practice. It also summarizes several models that have been developed to help implement evidence-based practice, including the Stetler Model, Iowa Model, and Star Model. The stages of knowledge transformation in the Star Model are also briefly outlined.
The document discusses the benefits of exercise for both physical and mental health. It notes that regular exercise can reduce the risk of diseases like heart disease and diabetes, improve mood, and reduce feelings of stress and anxiety. The document recommends that adults get at least 150 minutes of moderate exercise or 75 minutes of vigorous exercise per week to gain these benefits.
- The document discusses the importance of research and pharmacology in nursing practice. Research helps nurses understand changes in healthcare and build their knowledge to provide quality patient care.
- Nurses are instructed to write a 5-6 page article on a controversial pharmacology topic for an organizational newsletter. They must present both benefits and limitations of the topic based on recent research.
- Suggested topics include medical marijuana, alternative medicines, experimental drug programs, and mandatory vaccinations. Nurses must address patient outcomes and safety, effects on communities and organizations, and access inequities.
1) The document analyzes 478 newspaper and Associated Press reports about black box warnings issued by the FDA for prescription drugs between 2003-2007.
2) It finds that the reports consistently discussed the drug risks that prompted the warnings but often failed to quantify the risks or provide details about the supporting evidence and studies.
3) The reports rarely advised patients to adhere to treatment or consult their healthcare providers when making decisions.
This is the summary text of a presentation at the Vatican addressing: "The Question of the Use of Pharmaceuticals in Pediatrics." This presentation covers the clinical trial evidence and offers prescription guidelines
This curriculum vitae summarizes Robert B. Abel's education and professional experience. He has a Ph.D. in Statistics from Ohio State University and over 25 years of experience as a statistical consultant and biostatistician for pharmaceutical and biotech companies. His work has involved providing statistical support for clinical trials and product development across various therapeutic areas. He has authored over 30 publications and presentations related to biostatistics and clinical research.
The document provides an overview of principles of drug information and the systematic approach used to answer drug-related questions. It discusses key drug information references, both general references like CPS and specialized references covering interactions, adverse reactions, pregnancy/breastfeeding, and natural products. The systematic 10-step approach involves collecting requestor details, determining the question, finding and assessing relevant information from references, formulating a response, and following up.
This document summarizes and critically analyzes research on prescribing psychotropic medications to children and adolescents. It finds five major flaws that undermine the scientific validity of key antidepressant and stimulant drug trials. These flaws include: 1) compromised blinding due to the use of inactive placebos, 2) reliance on clinician ratings over patient self-ratings, 3) short trial timeframes that do not reflect real-world use, 4) conflicts of interest from pharmaceutical industry funding and ties to researchers, and 5) minimization of risks and side effects in the presentation of results. The analysis aims to help clinicians evaluate scientific claims and inform children, families, and their own practices regarding the risks and benefits of medicating youth.
This article reviews literature on primary non-adherence of prescribed pharmaceutical treatments. It identified 53 studies, including 16 on cost-related non-adherence. Commonly cited factors for non-adherence included age, gender, race, mental health, comorbidities, polypharmacy, medication beliefs, side effects, affordability, education, healthcare utilization, patient-physician relationship, prescriber traits, and forgetfulness. Issues related to affordability were the most frequently cited factor. The relevance of predictors and causes varied between studies. The review aims to inform future research by compiling known factors associated with primary non-adherence.
This document summarizes a study that analyzed FDA press releases and lay media reports (newspapers, TV, AP) about drugs that received a black box warning between 2003-2007. The study aimed to compare the content and patient-centeredness of information provided. It found that lay media reports less frequently included key details like generic drug names and advice to consult a healthcare provider, compared to FDA reports. The study concludes lay media could better reinforce patient-provider communication and participation in medical care when reporting on black box warnings.
This document summarizes a lecture on medical literature, including the basic purpose of research, common study designs, tools for reviewing studies, and principles of writing research manuscripts. The lecture covers estimating the truth, variability in perceptions of research findings, evolving nature of research, basic study designs like randomized trials and observational studies, analytical aspects like measures of association and issues with numerical approaches, standards for assessing research quality like CONSORT and STROBE, and considerations for writing manuscripts like clinical relevance and brevity. An example randomized controlled trial on spironolactone is presented and discussed.
This document discusses medication adherence, which refers to patients taking medications as prescribed by healthcare providers. Around 125,000 people die each year due to failure to take or improperly take medications. The document explores differences between adherence and compliance, statistics on adherence, factors influencing adherence, and the importance of adherence. It also provides a clinical case study of a patient with low adherence and the barriers and health impacts.
This document provides guidance on developing effective search strategies for systematic reviews. It emphasizes that comprehensive searches are needed but must balance precision and recall. It recommends using filters and hedges to improve precision while maximizing recall, as well as conducting multiple searches tailored to the questions. Pilot searches should be done to refine strategies. The document also stresses considering publication bias and searching additional sources to mitigate it.
This document summarizes research on potential adverse effects of herbal medicine use in cardiac patients taking prescription medications. It reviews 5 studies that explored interactions between common herbal medicines (e.g. cranberry, garlic) and cardiac drugs (e.g. warfarin). The studies found that certain herbal medicines can increase or decrease the effects of drugs like warfarin when taken together, potentially causing issues like abnormal bleeding or clotting in patients. However, many of the studies had limitations like small sample sizes. Overall, more research is still needed but the document suggests herbal medicine use should be carefully monitored in cardiac patients on multiple medications.
2016: Considerations on Polypharmacy and Adverse Drug Events-WatanabeSDGWEP
The document discusses issues related to polypharmacy and adverse drug events in older adults. It notes that polypharmacy is common in seniors, putting them at higher risk for adverse drug events, hospitalizations, and costs. The document also reviews tools that can help reduce inappropriate polypharmacy and prescribing, such as Beers criteria, STOPP criteria, and comprehensive medication reviews.
This systematic review examined 67 studies on strategies to reduce or discontinue long-term opioid therapy (LTOT) for chronic pain and the effect of dose reduction on patient outcomes. The key findings were:
1) Interdisciplinary pain programs had the highest completion and opioid discontinuation rates, ranging from 76-100% and 29-100% respectively across 31 studies of varying quality.
2) Buprenorphine-assisted dose reduction resulted in opioid discontinuation rates ranging from 33-100% in 10 poor quality studies.
3) Among 40 studies of varying quality examining patient outcomes after dose reduction, improvement was reported in pain severity, function, and quality of life, though the overall evidence quality was very
Hospital and Community Psychiatry October 1989 Vol. 40 No. 10 .docxwellesleyterresa
Hospital and Community Psychiatry October 1989 Vol. 40 No. 10 1025
dictive Behaviors. Edited by Donovan
DM, Marlart GA. New York, Guilford,
1988
35. Grant I, Reed R: Neuropsychology of
alcohol and drug abuse, in Substance
Abuse and Psychology. Edited by Alter-
man A!. NewYork, Plenum, 1985
36. Vardy MM, Kay SR: LSD psychosis or
LSD-induced schizophrenia? A multi-
method inquiry. Archives of General
Psychiatry 40:877-883, 1983
37. Castellani 5, Petnie WM, Ellinwood E:
Drug-induced psychosis: neurobiologi-
cal mechanisms, in Substance Abuse and
Psychology. Edited by Alterman A!.
New York, Plenum, 1985
38. McLellan AT, Woody GE, O’Brien CP:
Development ofpsychiatnic disorders in
drug abusers. New England Journal of
Medicine 301:1310-1314, 1979
39. Ellinwood E, Duarte-Escalante 0:
Chronic methamphetamine intoxication
in three species ofexperimental animals,
in Current Concepts on Amphetamine
Abuse. Edited by Ellinwood E, Cohen S.
Rockville, Md, National Institute of
Mental Health, 1972
40. BeIIDS: The experimental reproduction
of amphetamine psychosis. Archives of
General Psychiatry 30:35-40, 1973
41. Alterman A!: Substance abuse in psychi-
atnic patients, in Substance Abuse and
Psychology. Edited by Alterman A!.
New York, Plenum, 1985
42. Kendler KS: A twin study of individuals
with both schizophrenia and alcoholism.
BritishJournal ofPsychiatry 147:48-53,
1985
43. Hesselbrock MN, Hesselbrock VM,
Tennen H, et al: Methodological con-
sidenations in the assessment of depres-
sion in alcoholics. Journal of Consulting
and Clinical Psychology 51:399-405,
1983
44. HimmelhochJM, Hill 5, Steunberg B, et
al: Lithium, alcoholism, and psychiatric
diagnosis. Journal of Psychiatric Treat-
ment and Evaluation 5:83-88, 1983
45. Mayfield D: Substance abuse in theaffec-
sive disorders, in Substance Abuse and
Psychology. Edited by Alterman A!.
New York, Plenum, 1985
46. Schuckit MA: The importance of family
history ofaffective disorder in agroup of
young men. Journal of Nervous and
MentalDisease 170:530-535, 1982
47. Robertson MJ: Mental disorder among
homeless persons in the United States:
an overview of recent empirical liters-
tare. Administration in Mental Health
14:14-27, 1986
48. Blashfield BK Propositions regarding
the use of cluster analysis in clinical re-
search.JournalofConsultingand Clinical
Psychology 48:456-459, 1980
49. Blashfield RK, Money LC:The classifica-
tion of depression through cluster anal-
ysis. Comprehensive Psychiatry 20:516-
527, 1979
50. OverallJE, Hollister LE, Johnson M, et
al: Nosology ofdepression and differen-
tial response to drugs. JAMA 195:946-
948, 1966
51. Spitzer RL, Williams JBW: Having a
dream: a research study for DSM-IV.
Archives ofGeneral Psychiatry 45:871-
874, 1988
Treatment of Patients With
Psychiatric and Psychoactive
Substance Abuse Disorders
Fred C. Osher, M.D.
Lial L. Kofoed, M.D.
The treatment ofindividuals with
coexisting psychoactive substance
abuse and severepsy ...
This document summarizes a systematic review that analyzed randomized controlled drug trials for fibromyalgia syndrome (FMS) and painful diabetic peripheral neuropathy (DPN) to determine the impact of nocebo effects on adverse events reported. The review found that nocebo effects substantially accounted for adverse events in the drug groups for both conditions. Specifically, nocebo effects accounted for 72.0% of dropouts due to adverse events in the FMS drug groups and 44.9% in the DPN drug groups. The review calls for standards to better assess and report adverse events in clinical trials to more accurately determine the risks and benefits of drug therapies.
This document summarizes a proposed study on the effects of medical marijuana on reducing symptoms of post-traumatic stress disorder (PTSD). The study would utilize a randomized, double-blind experimental design with 200 participants divided into a control group receiving placebo and an experimental group receiving medical marijuana capsules. Participants would be evaluated quarterly for one year using standardized PTSD assessment tools. The goal is to determine if medical marijuana can effectively reduce PTSD symptoms compared to a placebo by analyzing differences in assessment scores between the two groups over time. Limitations include not addressing effectiveness for long-term PTSD or those taking other medications. If significant results are found, it could provide evidence for medical marijuana as an approved PTSD treatment.
Evidence live 2015 -hierarchical levels of evidence based medicine are incor...Jorge Ramírez
1) The hierarchical levels of evidence in evidence-based medicine are incorrect according to an analysis of studies.
2) Data and analyses support the hypothesis that evidence-based medicine rankings of randomized controlled trials, observational studies, and other research designs may be too simplistic.
3) Evidence-based medicine itself is not truly evidence-based, as its foundations are more based on opinions than real data and it fails to consider the complex relationships involved in human pharmacology.
This document provides a critique of 4 recent meta-analyses published in Health Psychology. It finds problems with transparency and completeness in how the meta-analyses were reported. It also notes a dependence on small, underpowered original trials of generally poor quality. The document questions the clinical validity and utility of conclusions drawn from these meta-analyses due to issues like clinical heterogeneity among studies and lack of consideration of methodological quality. Overall, it aims to encourage more rigorous standards for meta-analyses to avoid inaccurate or exaggerated conclusions.
Similar to Evidence-Based Medicine: Study Designs (20)
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Here is the updated list of Top Best Ayurvedic medicine for Gas and Indigestion and those are Gas-O-Go Syp for Dyspepsia | Lavizyme Syrup for Acidity | Yumzyme Hepatoprotective Capsules etc
Osteoporosis - Definition , Evaluation and Management .pdfJim Jacob Roy
Osteoporosis is an increasing cause of morbidity among the elderly.
In this document , a brief outline of osteoporosis is given , including the risk factors of osteoporosis fractures , the indications for testing bone mineral density and the management of osteoporosis
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
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Histololgy of Female Reproductive System.pptxAyeshaZaid1
Dive into an in-depth exploration of the histological structure of female reproductive system with this comprehensive lecture. Presented by Dr. Ayesha Irfan, Assistant Professor of Anatomy, this presentation covers the Gross anatomy and functional histology of the female reproductive organs. Ideal for students, educators, and anyone interested in medical science, this lecture provides clear explanations, detailed diagrams, and valuable insights into female reproductive system. Enhance your knowledge and understanding of this essential aspect of human biology.
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Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
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2. Objectives
Students should be able to:
Describe the hierarchy of drug literature
and identify general limitations of primary,
secondary, and tertiary literature
2
3. Categories of Drug Literature
Primary literature
• Evaluative
• Descriptive
Secondary literature
Tertiary literature
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
3
4. Self Assessment
How would you categorize a meta analysis
or systematic review article?
Primary literature
Secondary literature
Tertiary literature
4
5. Primary Literature→ Evaluative→
Experimental
studies
Clinical trial
Pharmaceutical
research
Educational
assessment
Observational
studies
Case control
Cohort
Follow-up
Cross-sectional
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
5
6. Case report
Pharmaceutical practice
Clinical series
Program
Population
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
Primary Literature→ Descriptive→
6
7. Limitations of Primary Literature
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
Bias
Author
Subject
Journal
Results only applicable to similar population with
same inclusion and exclusion criteria
Results could be due to chance
Retrospective studies only show association
7
8. Limitations of Primary Literature
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
Bias
Author
Subject
Journal
Results only applicable to similar population with
same inclusion and exclusion criteria
Results could be due to chance
Retrospective studies only show association
8
9. Limitations of Primary Literature
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
Bias
Author
Subject
Journal
Results only applicable to similar population with
same inclusion and exclusion criteria
Results could be due to chance
Retrospective studies only show association
9
10. Limitations of Primary Literature
Journal (Publication Bias)
FDATrial Data JournalsTrial Data
Possibility for drug companies to:
(1) not report data
(2) selectively report data
FDA= Food and Drug Administration
10
11. Limitations of Primary Literature
Journal (Publication Bias)
1994-1996 Zoloft® study published in
May 2007 finding that drug was no
better than placebo
Zoloft® went off patent in summer 2006
1997 published Prozac® study had no
mention of suicide, however according
to FDA report…
http://www.fda.gov/cderfoi/nda/2003/18936S064_Prozac%20Pulvules_medr.pdf
Freidman, MJ. J Clin Psychiatry. 2007; 68 (5): 711-720.
Emslie, GJ. Arch Gen Psychiatry. 1997; 54 (11): 1031-1037.
11
12. Limitations of Primary Literature
Journal (Publication Bias)
Trial registration
International Committee of Medical Journal Editors (2005)
FDA Revitalization Act (September 2007)
Drazen, J. NEJM. 2007; 357 (17): 1756-1757.
http://clinicaltrials.gov/show/NCT00220636
Clinicaltrials.gov Linked Journal Publication
Hellerstein DJ. Prog Neuropsychopharmecol Bio Psychiatry. 2004; 28 (8): 1347-1348.
12
13. Limitations of Primary Literature
Journal (Publication Bias)
“Selective Publication of Antidepressant Trials and
Its Influence on Apparent Efficacy”
Identified phase 2 and phase 3 studies for 12
antidepressants approved by FDA from 1987-2004
(12,564 adult patients) Compared with matched
data from journal articles, if published
Extracted:
Efficacy data on all randomized, double-blind, placebo-
controlled studies
FDA regulatory decisions on data→ positive, negative,
or questionable
Turner, EH. NEJM. 2008; 358 (3): 252-260.
13
15. Limitations of Primary Literature
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
Bias
Author
Subject
Journal
Results only applicable to similar population with
same inclusion and exclusion criteria
Results could be due to chance
Retrospective studies only show association
15
16. Limitations of Primary Literature
Smith, GH, Norton LL, Ferrill, MJ. Evaluating Drug Literature. ASHP Clinical Skills Program.
Bethesda, MD: American Society of Hospital Pharmacists, Inc.; 1995: p. 1-202.
Bias
Author
Subject
Journal
Results only applicable to similar population with
same inclusion and exclusion criteria
Results could be due to chance
Retrospective studies only show association
16