VSSL051c Social Medicine - practice

Faculty of Medicine
Autumn 2016
Extent and Intensity
0/2/0. 1 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Pavlína Kaňová, Ph.D. (seminar tutor)
MUDr. Kräuff Rainer Schwanhaeuser Wulff, MBA, Ph.D. et Ph.D., M.A. (seminar tutor)
MUDr. Lenka Dvořáková (seminar tutor)
Mgr. Bc. Tomáš Pruša (seminar tutor)
Zdeňka Jochová (assistant)
Guaranteed by
Mgr. Pavlína Kaňová, Ph.D.
Department of Public Health – Theoretical Departments – Faculty of Medicine
Contact Person: Mgr. Pavlína Kaňová, Ph.D.
Supplier department: Department of Public Health – Theoretical Departments – Faculty of Medicine
Timetable of Seminar Groups
VSSL051c/01: Thu 8:00–9:40 A21/112
VSSL051c/02: Fri 10:10–11:50 A21/112
VSSL051c/03: Fri 8:00–9:40 A21/112
VSSL051c/04: Fri 8:00–9:40 A21/112
VSSL051c/05: Mon 10:10–11:50 A21/112
VSSL051c/06: Mon 10:10–11:50 A21/112
VSSL051c/07: Mon 8:00–9:40 A21/112
VSSL051c/08: Mon 8:00–9:40 A21/112
VSSL051c/09: Tue 10:10–11:50 A21/112
VSSL051c/10: Tue 10:10–11:50 A21/112
VSSL051c/11: Tue 8:00–9:40 A21/112
VSSL051c/12: Tue 8:00–9:40 A21/112
VSSL051c/13: Thu 10:10–11:50 A21/112
VSSL051c/14: Thu 10:10–11:50 A21/112
VSSL051c/15: Wed 8:00–9:40 A21/112
VSSL051c/16: Wed 8:00–9:40 A21/112
VSSL051c/17: Wed 10:10–11:50 A21/112
VSSL051c/18: Wed 10:10–11:50 A21/112
VSSL051c/30: Tue 13:30–15:10 A21/112
VSSL051c/31: Fri 13:00–14:40 A21/112
VSSL051c/32: Tue 13:30–15:10 A21/112
VSSL051c/33: Fri 14:40–16:20 A21/112
VSSL051c/34: Fri 14:40–16:20 A21/112
VSSL051c/35: Fri 13:00–14:40 A21/112
Prerequisites
( VSLT0221s Bas. Med. Terminol. II -s || VSLT011s Bas. Med. Terminology -l ) && VSET021 Medical Ethics I && VSPP3X1 Nursing && ZC041 Handling chemical substances
Prerequisites according to the MU study and examination regulations.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
By the end of this course student should be able to: describe the content, mission, basic theories and methods of social medicine; use epidemiologic methods for assessing the health status of defined population; apply theoretical and methodological knowledge in health situation analysis; assess health risks and propose suitable measures to improve the health of the population; understand the basis of statistical and systemic thinking in medicine, the basis of methods of critical appraisal of population studies results and consequent organizational measures.
Syllabus
  • 1. General information about the course Social medicine. Qualitative methods for health research.
  • 2. Health and disease. Prevalence. Incidence, risk, rate, odds. Measures of disease frequency. Issues in calculating measures of disease frequency. Analysis of routinely collected data. Value and limitations of routinely collected data. Comparing disease occurrence, population impact.
  • 3. Death registration. Commonly used indices derived from mortality data. Mortality statistics. Summary statistics and standardisation. Direct standardisation. Health for All database.
  • 4. Ratio measures. Estimating measures of effect for more than one level of exposure. Difference measures. Measures of effect versus measure of impact. Measures of population impact, population attributable risk, population attributable risk fraction.
  • 5. Observational and intervention studies. Ecological study. Cross-sectional study. Cohort study. Case control study. Issues in design and execution. Design strategy: when to use which study. Interpretation of epidemiological studies.
  • 6. Key steps in a randomised controlled trial. Size of the trial. Variants of the randomised controlled trial. Ethical issues. Analysis, interpretation and policy implications.
  • 7. Types of variables. Distributions. Measures of central tendency. Distributions and summary measures. Measures of variability. Normal and log normal distributions.
  • 8. Populations and samples. Confidence intervals. Sampling variability of proportions. Sampling variability of means. Hypothesis testing. Interpretation of p-values. Estimation and testing. Measures of association.
  • 9. Correlation. Linear regression. Chi-squared test for a two-way table. Chi-squared test for trend. Validity of chi-squared tests. Epi-Info statistical package.
  • 10. Bias, selection bias, measurement bias. Differential and non-differential misclassification. Confounding. Meta-analysis. Causality in medicine.
  • 11. Screening. Diagnostic tests. Validity of diagnostic tests, sensitivity, specificity. Repeatability. Predictive values of a test result.
  • 12. Study designs for evaluation of screening. Selection bias, lead time bias, length bias, diagnosis bias. Criteria for a successful screening programme. Scope and levels of prevention.
  • 13. Need, demand and use. Efficacy, effectiveness, efficiency. QALYs.
  • 14. Health care systems. Funding mechanisms. Equity. Health care system in the Czech Republic. The health reform process.
  • 15. Health policy for Europe. Health for All programme.
Literature
    required literature
  • HOLČÍK, Jan, Adolf ŽÁČEK and Ilona KOUPILOVÁ. Sociální lékařství. 3. nezměn. vyd. Brno: Masarykova univerzita, 2006, 137 s. ISBN 9788087192153. info
  • GERYLOVOVÁ, Anna and Jan HOLČÍK. Úvod do základů statistiky : text pro semináře. 1. vyd. Brno: Masarykova univerzita, 2011, 50 s. ISBN 9788021056619. info
  • HOLČÍK, Jan. Systém péče o zdraví a zdravotní gramotnost : k teoretickým základům cesty ke zdraví. 1. vydání. Brno: Masarykova univerzita, 2010, 293 stran. ISBN 9788073921293. info
  • .
    recommended literature
  • Bonita R, Beaglehole R, Kjellström: Basic epidemiology. 2nd edition. Geneva - Switzerland: World Health Organization; 2006.
  • .
    not specified
  • .
  • REQUIRED LITERATURE
  • .
  • 1. Bonita R, Beaglehole R, Kjellström: Basic epidemiology. 2nd edition. Geneva - Switzerland: World Health Organization; 2006. pp 1-69, 83-114, 133-183.
  • 2. Stone DB, Armstrong WR, Macrina DM, Pankau JW: Introduction to epidemiology. Dubuque, IA - USA: Brown & Benchmark Publishers; 1996. pp 63-115.
  • 3. Farmer R, Lawrenson R, Miller D: Epidemiology and public health medicine. 5th edition. Oxford - U.K.: Blackwell Publishing; 2004. pp 51-89.
  • 4. Varkey P: Mayo clinic preventive medicine and public health board review. Edited by Prathibha Varkey. New York - United States: Mayo Clinic Scientific Press - Oxford University Press; 2010. pp 33-58.
  • .
  • RECOMMENDED LITERATURE
  • .
  • 1. Petrie A, Sabin C: Medical statistics at a glance. Oxford - U.K.: Blackwell Publishing; 2003.
  • 2. Nordess R: Epidemiology and biostatistics secrets. China: Mosby Elsevier; 2006.
Teaching methods

Seminars / practices and class discussion.

Reading and studying ALL REQUIRED LITERATURE.

For those who will have to write research projects and seminar papers during third, fourth and fifth year, it is strongly recommended to enrol the following courses:

 VSIL021 - Information literacy - (3 credits) - e-learning.
 VSKP041 - A course of working with information sources and tools (4 credits).

Assessment methods
REQUIREMENTS TO OBTAIN THE CREDIT:

1.   100 % attendance to seminars / practices during the semester.

2.   It will be required to successfully complete the prerequisite subjects.

3.   Absences will be tolerated just due to medical reasons - Students must provide appropriate documentation or medical excuse.
  + Students must be aware that even with justified absences (medical excuse), a minimum of 80% attendance is required to obtain the credit. In case a student will have more than 20 % justified / unjustified absences, he / she will have to repeat the course in the following school year.

4.   Fulfilment of given tasks:
  + In case of unjustified absence (per each one), a 1,500-2,000 word seminar paper and a 5-8 minutes power point presentation on the seminar paper topic will be given. If the seminar paper is rejected due to deficiencies and it is not corrected and submitted again, the student will not fulfil with the subject’s requirements, and he / she will not get the credit (See Absence and latecomer policy, Academic misconduct, plagiarism detection and unethical issues).

5.   Active participation during the seminars / practices / lectures.

6.   Pass the credit test. Students will be allowed to take the credit test only if they have fulfilled numeral 4 (requirements to obtain the credit).



CREDIT TEST INFORMATION:

1.   Get at least 70 % (14 out of 20 questions) in the credit test, which is a requisite to sit for examination.

2.   Each student must register in the Information System (IS) in one of the offered credit test terms. The credit test has fixed examination terms / dates - (Only during the examination period, except the examination pre-term). No extra-terms will be given.

3.   Students registered to a credit test term will fail the term if:
  a-) arrive late to the test. No late arrival will be allowed after the start of the credit test.
  b-) they are not present and previously do not cancel the term in the stipulated periods (see IS).

4.   In case of failure, EACH STUDENT CAN RETAKE THE CREDIT TEST TWO MORE TIMES, only in given terms (according to Masaryk University study and examination regulations).

5.   In case of failure during the third term (second resit), the student must repeat the course in the following school year.

6.   All credit test questions are based on ALL REQUIRED LITERATURE, seminars and lectures.


The credit test is a written examination → 20 multiple choice question test, with only one correct answer - (to pass the test, it is required a minimum of 14 correct answers / points).

SCORE:

  Passed → 14 and more correct answers / points.
  Failed → 13,5 or less correct answers / points.



In order to omit / avoid guessing while answering the MCQ test / examination, the following system will be used:
  Correct answer = 1 point.
  No answer = 0 point.
  Wrong answer = -0,5 point.

  Test scoring will be according to the next formula:
  Final score = Number of correct answers - (Number of wrong answers / two).

  For example:
  15 correct answers (15 x 1 point = 15 points) - Passed.
  5 wrong answers (5 x -0,5 = -2,5 points).
  15 - 2,5 = 12,5. The final score of the test will be 12,5 answers / points.
  Final result = Failed.


  ** For that reason, only answer the question when you are sure of the answer.



ABSENCE AND LATECOMER POLICY:

1.   Justified, unjustified absences and late coming to classes:
  a-) Justified absences → just due to medical reasons - Student must provide appropriate documentation or medical excuse in original.
  b-) Unjustified absences → the student does not present the medical excuse (original) in the following week of the absence.
  c-) Late coming to classes → the student arrives after attendance has been taken (3-5 minutes).

2.   Measures against absenteeism or late coming to classes:
  a-) Every unjustified absence or late coming to classes leads to a 1,500-2,000 word seminar paper plus a 5-8 minutes power point presentation on the same topic (the topics will be assigned in the same week of the absence or late coming).
  b-) The seminar paper must be submitted on the subject’s vault within the next 7 days of the incident (absence or late coming), in other case it will be rejected → They will not get the credit.
  c-) Students will receive an email with the seminar paper instructions, and the word and power point frames.
  d) Students take full responsibility for their seminar paper(s) and power point presentation(s). (See Academic misconduct, plagiarism detection and unethical issues).

3.   THERE WILL BE NO EXCEPTIONS. In the following cases, students will be not get the credit / allowed to take the credit test:
  * Not submitting the assigned seminar paper.
  * If the seminar paper is rejected due to deficiencies and is not corrected and submitted again.
  * If despite the fact the seminar paper is accepted but the power point presentation is not shown in class.
  * If the seminar paper is rejected three times.
  * If the seminar paper has plagiarism or any unethical issues.



ACADEMIC MISCONDUCT, PLAGIARISM DETECTION AND UNETHICAL ISSUES:

1.   Any attempts of ACADEMIC MISCONDUCT, such as cheating or assisting someone else to cheat during the credit test, will result in disciplinary actions, such as:
  a-) You will be required to hand over your examination paper and asked to leave the examination room. This means, you failed the examination (examination term), with the respective score F / 4, on your academic records in the information system.
  b-) Opening disciplinary proceedings.
  c-) Failing the subject / course.
  d-) Expulsion from university.

2.   During the examination, it is forbidden to:
  a-) Use smart phones / Tablets.
  b-) Use laptops.
  c-) To wear earphones or headphones (if not medical prescribed).
  d-) To talk.

*In such cases, disciplinary actions will be taken (See above numeral 1).

3.   Every seminar paper will be checked / scanned on university and external systems for online plagiarism detection.

4.   Cases of suspected plagiarism will be investigated and given to the Disciplinary Committee as a motion to open disciplinary proceedings, according to the Disciplinary Code for Faculty Students.

5.   Unethical issues will lead to seminar paper rejection → not getting the credit → repeating the course next school year or expulsion from university.

6.   The plagiarism scan system is able to detect cut and paste from other languages with its respective translation into English. Avoid complications. Simply read the source and use your own words and the citate (quote) the source of information.

7.   Students MUST be aware that before acceptance, all citations are controlled (compared with the original source). It will not be tolerated any attempts to create or manipulate citations (ACADEMIC MISCONDUCT). → Seminar paper rejection → not getting the credit → repeating the course next school year or expulsion from university.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is also listed under the following terms Autumn 2000, Autumn 2001, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2017.
  • Enrolment Statistics (Autumn 2016, recent)
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