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Research Methodology and Epidemiology

Study Course Description

Course Description Statuss:Approved
Course Description Version:12.00
Study Course Accepted:09.09.2024 09:13:14
Study Course Information
Course Code:SVUEK_121LQF level:Level 7
Credit Points:2.00ECTS:3.00
Branch of Science:Clinical MedicineTarget Audience:Medicine
Study Course Supervisor
Course Supervisor:Mirdza Kursīte
Study Course Implementer
Structural Unit:Institute of Public Health
The Head of Structural Unit:
Contacts:Riga, 9 Kronvalda boulevard, svekatrsu[pnkts]lv, +37167338307
Study Course Planning
Full-Time - Semester No.1
Lectures (count)0Lecture Length (academic hours)0Total Contact Hours of Lectures0
Classes (count)11Class Length (academic hours)3Total Contact Hours of Classes33
Total Contact Hours33
Study course description
Preliminary Knowledge:
Basics of human anatomy, histology, and physiology; basic arithmetic.
Objective:
To provide the opportunity to gain knowledge and skills in research methodology necessary to read scientific literature, apply principles of evidence-based medicine, develop critical thinking, and promote further research activities.
Topic Layout (Full-Time)
No.TopicType of ImplementationNumberVenue
1Introduction to health research. Research process. Research ethics. Scientific problem. Research question, hypothesis, aim and objectives.Classes1.00auditorium
2Literature search. Types of scientific literature. Narrative review and systematic review. Types of data.Classes1.00auditorium
3Epidemiology and evidence-based medicine. Causality. Risk factor. Causal model: exposure, outcome and confounders.Classes1.00auditorium
4Basic epidemiological measures: prevalence, cumulative incidence and incidence rate. Standardized death rate. Case fatality.Classes1.00auditorium
5Data collection and evaluation. Diagnostic tests. Reliability and accuracy. Sensitivity, specificity, predictive values. ROC curve.Classes1.00auditorium
6Random errors and biases. Study designs. Case series. Ecological study. Cross-sectional and sampling.Classes1.00auditorium
7Cohort study. Measures of association: relative risk measures (risk ratio, rate ratio), attributable risk, attributable fraction.Classes1.00auditorium
8Case-control study. Case definion. Association measures: odds ratio.Classes1.00auditorium
9Experimental studies. Prevention studies. Clinical trials. Association measures.Classes1.00auditorium
10Presenting research results and scientific writing.Classes1.00auditorium
11Presentations of students’ independent work.Classes1.00auditorium
Assessment
Unaided Work:
Individual reading of literature. Self-assessment tests. Preparing a brief review of research methodology in published scientific papers. In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal.
Assessment Criteria:
The final grade is a cumulative assessment of: a. 15% – class attendance and participation; b. 40% – three in-class assignments; c. 45% – final independent group work and its presentation (analysis and comparison of 3 to 4 scientific primary publications on one research question).
Final Examination (Full-Time):Exam (Written)
Final Examination (Part-Time):
Learning Outcomes
Knowledge:• Explain the difference between quantitative and qualitative research methods. • List the stages in the research process. • Identify ethical issues in health research. • Recognise different types of scientific literature. • Explain the difference between literature review and systematic review. • Interpret the concepts of “risk factor, cause, and confounder” in the context of multifactorial theory of causation. • Identify suitable data sources and data collection methods. • Describe the concept of a representative sample. • Distinguish prevalence and incidence measures. • Explain the purpose of the age-standardisation procedure and interpret age-standardised rates. • List and describe epidemiologic study designs, their advantages and disadvantages. • Interpret measures of association. • Explain the difference between random errors and biases. • Provide examples of selection bias and information bias. • Interpret measures of test sensitivity, specificity, and predictive values. • Explain the relationship between test sensitivity and specificity as illustrated by the ROC curve. • Describe the traditional structure of conference abstracts and manuscripts in health sciences. • Recognise main principles of oral or poster presentations.
Skills:• Illustrate the link between the scientific problem, an appropriate research question and hypothesis. • Find applicable case definition. • Perform literature search in relevant databases, e.g., PubMed. • Draw simplified causal diagrams and define variables. • Calculate basic epidemiological measures: prevalence, cumulative incidence and incidence rate. • Identify study designs in published papers. • Calculate measures of association: risk ratio, rate ratio, odds ratio, attributable risk, attributable fraction. • Calculate test sensitivity, specificity, and predictive values. • Present a hypothetical research proposal.
Competencies:• Formulate the scientific problem justified by literature. • Develop the research question, the aim and tasks to answer the question. • Choose a suitable study design and data collection methods. • Foresee potential threats to scientific validity of study results.
Bibliography
No.Reference
Required Reading
1Jacobsen, K. H. 2021. Introduction to Health Research Methods. A Practical Guide. Jones & Bartlett Learning
2Bouter, L. M., Zielhuis, G. and Zeegers M. P. 2023. Textbook of Epidemiology. Bohn Stafleu van Loghum
3Baltiņš, M. 2003. Lietišķā epidemioloģija. Rīga: Zinātne. (akceptējams izdevums)
4Mārtinsone, K., Pipere, A. un Kamerāde, D. (red.) 2016. Pētniecība: teorija un prakse. Rīga: RaKa
5Ārvalstu studentiem/For international students:
6Jacobsen, K. H. 2021. Introduction to Health Research Methods. A Practical Guide. Jones & Bartlett Learning
7Bouter, L. M., Zielhuis, G. and Zeegers M. P. 2023. Textbook of Epidemiology. Bohn Stafleu van Loghum
Additional Reading
1Mārtinsone, K. un Pipere, A. (red.) 2019. Zinātniskā rakstīšana un pētījumu rezultātu izplatīšana. Rīga: RSU
2Fletcher, R. H., Fletcher, S. W. and Fletcher, G. S. 2014. Clinical Epidemiology: The Essentials. 5th ed. Philadelphia: LWW
3Ārvalstu studentiem/For international students:
4Fletcher, R. H., Fletcher, S. W. and Fletcher, G. S. 2014. Clinical Epidemiology: The Essentials. 5th ed. Philadelphia: LWW