This document provides an overview of a short course in epidemiology for clinicians. The course aims to help clinicians understand how epidemiological concepts can enhance clinical practice by applying principles to decision making, risk assessment, interpreting tests and literature. It covers topics like study designs, statistical analysis, biases and applying evidence-based practices. The 5 modules include sessions on epidemiology applications in clinics, evidence-based medicine, epidemiological methods, statistical concepts and getting started in research. Overall, the course aims to equip clinicians with skills in epidemiology, evidence interpretation and undertaking clinical research.
evidence based practice is best for the people working with patients
ebp should be used by the heath care provider.
ebp based upon clinical experties
best research evidence
patient preference and values
Janet Schnall's presentation about Evidence Based Nursing Resources at our free monthly webcast. Recording available at https://webmeeting.nih.gov/p96958659/
EBM Is the ability to access, asses and apply the best evidence from systematic research information to daily clinical problems after integrating them with the physician's experience and patient's value.
a brief overview about how and why to practice evidence based medicine, its clinical application, what it is and what it is not? benefits and challenges
evidence based practice is best for the people working with patients
ebp should be used by the heath care provider.
ebp based upon clinical experties
best research evidence
patient preference and values
Janet Schnall's presentation about Evidence Based Nursing Resources at our free monthly webcast. Recording available at https://webmeeting.nih.gov/p96958659/
EBM Is the ability to access, asses and apply the best evidence from systematic research information to daily clinical problems after integrating them with the physician's experience and patient's value.
a brief overview about how and why to practice evidence based medicine, its clinical application, what it is and what it is not? benefits and challenges
Clinical Questions types .
A Hierarchy of Preprocessed Evidence.
EBM definition and value.
Knowledge and Skills Necessary for Optimal Evidence-Based Practice.
Basic computer and internet knowledge for electronic searching of the literature
Criticisms of orthodox medical ethics, importance ofsupriyawable1
ethics is a very large and complex field of study with many branches .medical ethics is the branch of ethics that deals moral issues in medical practice. principles of medical ethics - autonomy ,beneficence ,confidentiality,do not harm,equity .importance of communication .
Homeopathic treatment of elderly patients - a prospective observational study...home
The severity of disease showed marked and sustained improvements under homeopathic treatment,
but this did not lead to an improvement of quality of life. Our findings might indicate that homeopathic medical
therapy may play a beneficial role in the long-term care of older adults with chronic diseases and studies on
comparative effectiveness are needed to evaluate this hypothesis.
Concise explaining of Evidence-Based Medicine and discussing the following: 1-What is Evidence-Based Medicine?
2-Why Evidence-based Medicine?
3-Options for changing clinicians' practice behaviour
4- EBM Process- Five Steps
5-Seven alternatives to evidence-based medicine
Evidence based practice (EBP) in physiotherapy Saurab Sharma
This presentation is the classroom lecture for undergraduate physiotherapy students whom I teach at Kathmandu University School of Medical Sciences in Nepal. This is an introductory lecture. Students carry on with steps of EBP in the years to come during the student life and use it for their presentations and clinical learning placement.
Other students too may benefit. I highly encourage other students, especially in some parts of India where EBP is not taught, and is reserved for Master's degree program. I completely disagree with this concept, as EBP is the pillar of a responsible physiotherapy practice. Early it starts, better it is.
Evidence Based Practice is the integration of clinical expertise, patient values, and the best research evidence into the decision making process for patient care.
Clinical expertise refers to the clinician’s cumulated experience, education and clinical skills. The patient brings to the encounter his or her own personal preferences and unique concerns, expectations, and values.
The best research evidence is usually found in clinically relevant research that has been conducted using sound methodology.
PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RIS...hiij
Treatment management in cancer patients is largely based on the use of a standardized set of predictive
and prognostic factors. The former are used to evaluate specific clinical interventions, and they can be
useful for selecting treatments because they directly predict the response to a treatment. The latter are used
to evaluate a patient’s overall outcomes, and can be used to identify the risks or recurrence of a disease.
Current intelligent systems can be a solution for transferring advancements in molecular biology into
practice, especially for predicting the molecular response to molecular targeted therapy and the prognosis
of risk groups in cancer medicine. This framework primarily focuses on the importance of integrating
domain knowledge in predictive and prognostic models for personalized treatment. Our personalized
medicine support system provides the needed support in complex decisions and can be incorporated into a
treatment guide for selecting molecular targeted therapies.
Clinical Questions types .
A Hierarchy of Preprocessed Evidence.
EBM definition and value.
Knowledge and Skills Necessary for Optimal Evidence-Based Practice.
Basic computer and internet knowledge for electronic searching of the literature
Criticisms of orthodox medical ethics, importance ofsupriyawable1
ethics is a very large and complex field of study with many branches .medical ethics is the branch of ethics that deals moral issues in medical practice. principles of medical ethics - autonomy ,beneficence ,confidentiality,do not harm,equity .importance of communication .
Homeopathic treatment of elderly patients - a prospective observational study...home
The severity of disease showed marked and sustained improvements under homeopathic treatment,
but this did not lead to an improvement of quality of life. Our findings might indicate that homeopathic medical
therapy may play a beneficial role in the long-term care of older adults with chronic diseases and studies on
comparative effectiveness are needed to evaluate this hypothesis.
Concise explaining of Evidence-Based Medicine and discussing the following: 1-What is Evidence-Based Medicine?
2-Why Evidence-based Medicine?
3-Options for changing clinicians' practice behaviour
4- EBM Process- Five Steps
5-Seven alternatives to evidence-based medicine
Evidence based practice (EBP) in physiotherapy Saurab Sharma
This presentation is the classroom lecture for undergraduate physiotherapy students whom I teach at Kathmandu University School of Medical Sciences in Nepal. This is an introductory lecture. Students carry on with steps of EBP in the years to come during the student life and use it for their presentations and clinical learning placement.
Other students too may benefit. I highly encourage other students, especially in some parts of India where EBP is not taught, and is reserved for Master's degree program. I completely disagree with this concept, as EBP is the pillar of a responsible physiotherapy practice. Early it starts, better it is.
Evidence Based Practice is the integration of clinical expertise, patient values, and the best research evidence into the decision making process for patient care.
Clinical expertise refers to the clinician’s cumulated experience, education and clinical skills. The patient brings to the encounter his or her own personal preferences and unique concerns, expectations, and values.
The best research evidence is usually found in clinically relevant research that has been conducted using sound methodology.
PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RIS...hiij
Treatment management in cancer patients is largely based on the use of a standardized set of predictive
and prognostic factors. The former are used to evaluate specific clinical interventions, and they can be
useful for selecting treatments because they directly predict the response to a treatment. The latter are used
to evaluate a patient’s overall outcomes, and can be used to identify the risks or recurrence of a disease.
Current intelligent systems can be a solution for transferring advancements in molecular biology into
practice, especially for predicting the molecular response to molecular targeted therapy and the prognosis
of risk groups in cancer medicine. This framework primarily focuses on the importance of integrating
domain knowledge in predictive and prognostic models for personalized treatment. Our personalized
medicine support system provides the needed support in complex decisions and can be incorporated into a
treatment guide for selecting molecular targeted therapies.
PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RIS...hiij
Treatment management in cancer patients is largely based on the use of a standardized set of predictive
and prognostic factors. The former are used to evaluate specific clinical interventions, and they can be
useful for selecting treatments because they directly predict the response to a treatment. The latter are used
to evaluate a patient’s overall outcomes, and can be used to identify the risks or recurrence of a disease.
Current intelligent systems can be a solution for transferring advancements in molecular biology into
practice, especially for predicting the molecular response to molecular targeted therapy and the prognosis
of risk groups in cancer medicine. This framework primarily focuses on the importance of integrating
domain knowledge in predictive and prognostic models for personalized treatment. Our personalized
medicine support system provides the needed support in complex decisions and can be incorporated into a
treatment guide for selecting molecular targeted therapies.
PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RI...hiij
Treatment management in cancer patients is largely based on the use of a standardized set of predictive and prognostic factors. The former are used to evaluate specific clinical interventions, and they can be useful for selecting treatments because they directly predict the response to a treatment. The latter are used to evaluate a patient’s overall outcomes, and can be used to identify the risks or recurrence of a disease. Current intelligent systems can be a solution for transferring advancements in molecular biology into practice, especially for predicting the molecular response to molecular targeted therapy and the prognosis of risk groups in cancer medicine. This framework primarily focuses on the importance of integrating domain knowledge in predictive and prognostic models for personalized treatment. Our personalized medicine support system provides the needed support in complex decisions and can be incorporated into a treatment guide for selecting molecular targeted therapies.
PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RIS...hiij
Treatment management in cancer patients is largely based on the use of a standardized set of predictive
and prognostic factors. The former are used to evaluate specific clinical interventions, and they can be
useful for selecting treatments because they directly predict the response to a treatment. The latter are used
to evaluate a patient’s overall outcomes, and can be used to identify the risks or recurrence of a disease.
Current intelligent systems can be a solution for transferring advancements in molecular biology into
practice, especially for predicting the molecular response to molecular targeted therapy and the prognosis
of risk groups in cancer medicine. This framework primarily focuses on the importance of integrating
domain knowledge in predictive and prognostic models for personalized treatment. Our personalized
medicine support system provides the needed support in complex decisions and can be incorporated into a
treatment guide for selecting molecular targeted therapies.
Epidemiology slides by Kuya Kabalo.pptxKUYA KABALO
this presentation gives an overview of epidemiology , concepts ,definition , types of epidemiological studies , uses of epidemiology , scope and application of epidemiology
advantages and disadvantages of each epidemiological study
aims of epidemiology is also covered in this presentation
advanced role of nurse practitioner
Define preoperative nursing and operating room nurse.
Describe phases of the preoperative period.
Describe the physical environment of the OR.
Show specific areas within the operating room (OR).
Locate and describe the use of furniture and equipment in the operating room.
Identify the role of each member of the operating room team.
Discuss how environmental layout contributes to aseptic technique.
Perioperative nursing care is crucial in ensuring the well-being and safety of patients throughout the entire surgical process.
It requires a high level of skill, knowledge, and attention to detail.
play a vital role in promoting positive surgical outcomes and providing patients with the support and care they need during this vulnerable time.
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.
•The major steps in conducting a clinical trial study are study design, study conduct, data analysis and reporting of the findings.
•Randomized clinical trials are deemed as a gold standard method for analyzing and evaluating the safety and effectiveness of medical devices or pharmaceutical drugs.
•The most challenging part of conducting a randomized clinical trial are related to handling ethical and regulatory systems.
To Continue Reading : https://bit.ly/3eypDDm
Contact Us:
Website : https://bit.ly/3fQY0p0
Email Id: sales.cro@pepgra.com
Evidence-based medicine is the system of practicing medicine in such a way that it results in improving outcomes and reduces the overall healthcare cost.
https://www.cognibrain.com/importance-of-evidence-based-medicine-on-research-and-practice/
SHARE Webinar: Why Should I Join a Clinical Trial with Dr. Hershmanbkling
Dr. Dawn L. Hershman of the Herbert Irving Comprehensive Cancer Center at Columbia University presented the basics of clinical trials and emphasized how important it is for more patients to participate in them. She also discussed trials currently available for early stage and metastatic breast cancers. The webinar was presented on June 25, 2014. To hear the webinar, visit www.sharecancersupport.org/hershman
How Clinical Decision Support Systems (CDSS) is the right tool for physicians?Eurostars Programme EUREKA
We believe that CDSS delivered using information systems, ideally with the electronic medical record as the platform, will finally provide decision makers with tools making it possible to achieve large gains in performance, narrow gaps between knowledge and practice, and improve safety.
Leveraging Data Analysis for Advancements in Healthcare and Medical Research.pdfSoumodeep Nanee Kundu
Data analysis in healthcare encompasses a wide range of applications, all geared toward improving patient care and well-being. It begins with the collection of diverse healthcare data, which includes electronic health records, medical imaging, genomic data, wearable device data, and more. These data sources provide a rich tapestry of information that can be analysed to unlock valuable insights and drive healthcare advancements.
One of the primary areas where data analysis is a game-changer is in clinical decision-making. Through the utilization of data-driven algorithms, healthcare professionals are empowered to make informed decisions regarding patient diagnosis, treatment plans, and prognosis. Clinical Decision Support Systems (CDSS), powered by data analysis, provide real-time guidance based on evidence-based medical knowledge, assisting physicians in choosing the most appropriate treatments and interventions. This not only enhances patient care but also reduces medical errors and ensures that treatment decisions are aligned with the most current medical research.
Data analysis is also instrumental in early disease identification and monitoring. Machine learning models, for example, can predict the onset of diseases like diabetes, Alzheimer's, and cardiovascular conditions by analysing patient data. This early detection capability enables healthcare providers to intervene proactively, potentially preventing or mitigating the severity of these conditions. This aspect of data analysis significantly contributes to the shift from reactive to proactive healthcare, improving patient outcomes and reducing healthcare costs.
Epidemiology and public health are areas where data analysis plays a vital role. The analysis of healthcare data is essential for tracking and predicting disease outbreaks, which is especially critical in the context of infectious diseases and bioterrorism preparedness. Real-time analysis of health data can offer early warning signs of emerging epidemics, allowing authorities to take timely preventive measures and allocate resources efficiently.
Evidence based nursing practice is one of most important for perfect and accurate in terms of saving a life.this presentation covers almost all aspect of EBD
Similar to A short course in epidemiology for clinicians (20)
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.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
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
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the 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 lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
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. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Maxilla, Mandible & Hyoid Bone & Clinical Correlations by Dr. RIG.pptx
A short course in epidemiology for clinicians
1. A short course in Epidemiology for Clinicians
Why this course?
This course is intended for the clinicians to understand how epidemiological
concepts can make a vital contribution to enhance clinical practice.
Epidemiological principles can be applied to clinical practice in decision support,
interpreting the results of diagnostic tests, assessing and communicating risk and
prognosis, and in identifying appropriate treatment for individual patients. They
are also of value to clinicians involved in planning, monitoring and improving
services, teaching medical students and postgraduates, critically appraising
medical literature, and undertaking or supervising research.
Now more than ever clinicians need to understand evidence. Healthcare is evolving
rapidly with innovation leading to ever more effective and efficient diagnostic
tools, treatments, service delivery, and preventive interventions. Being able to
interpret clinical trials, meta-analyses, systematic reviews, and the results of
individual investigations and apply these to the patient sitting in front of us is a
greater challenge than ever given the volume of evidence being generated. Much
of the evidence needed in the consulting room comes from studies of populations,
and understanding these kinds of data requires good epidemiological skills and
insights.
This course is an invaluable means for grasping the principles of epidemiology as
applied to everyday clinical practice. It introduces concepts such as distribution,
measurement, and risk in relation to diagnosis and management, making them
very relevant for medical students and junior doctors.
The course objectives are
1. To understand research designs and simple statistical methods to be able
to read and understand the literature
2. To sharpen the clinicians' skills to undertake clinical research.
3. To equip the clinician to read, analyse and interpret the published research
data
2. Course content:
Session Content
Epidemiology in
the clinic
• Introduction to epidemiology & examples of its
practical application in the clinical setting
• The Diagnostic Process
• Management Decisions
• Risk Communication and Promoting Health
Evidence Based
Practice
• Finding and summarizing evidence
• Routine health care data, mainly as applied to the
safety of medical interventions
• Preventive Medicine and Screening. Clinical utility of
diagnostic procedures and screening
• Evaluating Clinical Practice
Epidemiologic
Methods
• Sources of Data
• Types of Study
• Design and conduct of cohort studies and RCTs
• Design and conduct of case-control studies
Statistical
Concepts
• Types of disease and case definition, incidence,
mortality, prevalence, attributable risk, relative risk,
odds ratio, population attributable risk, attributable
proportion
• Prognostic markers
• Diagnostic markers
• Bias, measurement error, confounding & effect
modification
• Populations and samples, hypothesis testing,
estimation with confidence intervals, power. Taught
through practical demonstration of findings rather
than theory
Getting started in
research
• Grant applications, ethical approval & research
governance
3. Module I: Epidemiology in the clinic
14th
December to 16.12.2020
Session1: 14.12.2020 Dr V Chandrasekhar
Topic: Introduction to epidemiology & examples of its practical application
in the clinical setting
Objectives:
1. Defining normal and abnormal
2.
Session2: 15.12.2020 Dr S P Rao
Topic: The Diagnostic Process and the Management Process
Objectives:
1. Validity of the diagnostic tests and the parameters of validity
2. Clinical uses of predictive values
3. Pre-test, Post-test probabilities and Likelihood ratios
4. Clinical scoring system
5. Principles of Clinical management decisions (prognosis & prognostic factors)
6. Evidence Based management (EBM)
7. Clinical Guidelines
8. How effective is the treatment?
9. Interpreting Clinical trial results
10.Patient centered Decision making
Session3: 16.12.2020 Dr S P Rao
Topic: Risk Communication and Promoting Health
Objectives:
1. Define risk factor, risk marker and protective factors
2. Quantification of risk factors (in the form of Relative risk, Attributable risk,
Odds ratio and Correlation)
3. How to identify the known and unknown risk factors
4. Health promotion in practice (smoking & alcohol; exercise, diet, weight)
4. 5. Could disease be prevented?
6. Investigation of outbreak
7. Breaking the chain of infection
5. Module II: Evidence Based Practice
17th
December to 19.12.2020
Session1: 17.12.2020 Dr Siva Kumar
Topic: Finding and summarizing evidence
Objectives:
1. Finding evidence – electronic resources
2. Critical Appraisal – Checklists CONSORT
3. Systematic Reviews
4. Meta-analysis - Interpretation
5.
Session2: 18.12.2020 Dr C Jyothi
Topic: Preventive Medicine and Screening. Clinical utility of diagnostic
procedures and screening
Objectives:
1. Preventive Strategies – High and Low risk
2. Levels of Prevention
3. Preventing Communicable Diseases
4. Preventing Non-Communicable Diseases
5. Basic Infectious Disease Epidemiology
6. Vaccination
7. Screening – screening programs – evaluation of screening program
Session3: 19.12.2020 Dr C Kumar
Topic: Evaluating Clinical Practice
Objectives:
1. Clinical Audit
2. Writing Protocol
3. Choosing the Sample
4. Data Collection- Analysis & Interpretation
5. Changing Practice
6. Module III:Epidemiologic Methods
21st
December to 24.12.2020
Session1: 21.12.2020 Dr Venkat Prasanna
Topic: Sources of Data and Types of Study
Objectives:
1. Types of Evidence
2. Cross sectional studies
Session2: 22.12.2020 Dr C Kumar
Topic: Design and conduct of cohort studies
Objectives:
1. Overview
2. Analysis & Interpretation
3. Strengths & weaknesses
4. Examples
Session3: 23.12.2020 Dr C Jyothi
Topic: Design and conduct of RCT studies
Objectives:
1. Overview
2. Types of studies
3. Trial Process
4. Analysis & Interpretation
5. Strengths & weaknesses
6. Examples
Session4: 24.12.2020 Dr Afreen
Topic: Design and conduct of Case control studies
Objectives:
1. Overview
2. Analysis & Interpretation
3. Strengths & weaknesses
4. Examples
7. Module IV: Statistical Concepts
26th
December to 31.12.2020
Session1 & 2: 26.12.2020 & 28.12.2020 Dr Basha
Topic: Statistical Concepts of Data
Objectives:
1. Quality of data
2. Routine data and its Clinical uses
3. Death Certification and Notifiable diseases
4. Statistical Concepts: Variables & summarization of data
5. Measures of Central Location & Measures of Dispersion
6. Sampling Variability
7. Probability Distributions
8. Confidence Intervals
9. Hypothesis Tests
10.Statistical or Clinical Significance
11.Sample size and Power calculations
12.When to consult a statistician
Session3: 29.12.2020 Dr S P Rao
Topic: Prognostic markers and Diagnostic markers
Objectives:
1. Prevention Paradox
2. What are markers
3. Diagnostic markers in cancer and their utility
4. Cardiac markers and genetic markers & their clinical significance
5. Prognostic markers and prognostic index
Session4: 30.12.2020 Dr Venkat Prasanna
Topic: Bias, measurement error, confounding & effect modification
Objectives:
1. Basic concepts in epidemiological research (Exposure, outcome,
confounder, bias, chance, Association, Causation)
8. 2. Translating Exposure, outcome, confounder, bias, chance, Association,
Causation in clinical setting
Session5: 31.12.2020 Dr Basha
Topic: Populations and samples, hypothesis testing
Objectives:
1. Types of hypothesis
2. Hypothesis testing methods
3. Samples and sampling methods
4. Hospital samples and their limitations
9. Module V: Getting started in research
1st
January 2021 to 2.1.2021
Session1: 1.1.2021 Dr Siva Kumar
Topic: Grant applications and Avenues for funding
Objectives:
1. What are grants?
2. Why should you apply for grants?
3. When should you apply for grants?
4. How should you apply for grants?
5. Where should you apply for grants?
Session2: 2.1.2021 Dr Sivakumar
Topic: Ethics approval and Guidelines
Objectives:
1. Applying for Ethics approval: Basic Principles
2. Ethics to be followed in Clinics
3. Autonomy, Maximizing benefit, Minimizing harm, Integrity and being fair
4. Consent methods
5. Conflict of interest