Wilfried Karmaus Department of Epidemiology, MSU You find class material in: EPI 824 Reproductive outcomes.

Slides:



Advertisements
Similar presentations
Measures of Disease Frequency
Advertisements

Research Curriculum Session II –Study Subjects, Variables and Outcome Measures Jim Quinn MD MS Research Director, Division of Emergency Medicine Stanford.
Lecture 3 Validity of screening and diagnostic tests
HISTORY IN OB/GY AHMED ABDULWAHAB.
Female Reproductive System
The Research Consumer Evaluates Measurement Reliability and Validity
Periodic Woman Screening Sheet By Periodic Woman Screening Committee January 2010.
CONCEPTS UNDERLYING STUDY DESIGN
A Brief Introduction to Epidemiology - VII (Epidemiologic Research Designs: Demographic, Mortality & Morbidity Studies) Betty C. Jung, RN, MPH, CHES.
Concept of Measurement
Measure of disease frequency
Study designs Wilfried Karmaus Reproductive Epidemiology EPI 824.
INTRODUCTION TO THE ROLE OF STATISTICS IN PUBLIC HEALTH AND CLINICAL MEDICINE HADYANA SUKANDAR.
Dr. Rufaidah Dabbagh Dr. Armen Torchyan MBBS, MPH MD, MPH CMED 304 Family and Community Medicine Department Family and Community Medicine Department.
EPI 824 Reproductive Epidemiology Fall 2002 Sex Ratio.
PREPARING FOR PREGNANCY. One of the most important factors in your baby’s health is the mother’s lifestyle. By the time a woman sees a doctor, they are.
Measuring Epidemiologic Outcomes
Male Sexual Dysfunction : among male applicants of a family planning center for vasectomy B. Dilbaz, E.Caliskan, H. Cengiz, S. Gungor, S. Dilbaz and A.
Risk factors for Incident Trichomonas vaginalis among Women Recruited in RESPECT-2, an HIV Prevention Trial D Helms 1, D Mosure 1, T Peterman 1, C Metcalf.
Human Reproduction © Lisa Michalek.
Wilfried Karmaus Department of Epidemiology, MSU EPI 824 Reproductive Epidemiology Fall 2002.
Screening and Early Detection Epidemiological Basis for Disease Control – Fall 2001 Joel L. Weissfeld, M.D. M.P.H.
Maternal Health Measurements Moussa LY, MPH Monitoring & Evaluation Specialist Maternal Health/Family Planning Project Dakar - Senegal.
Are exposures associated with disease?
報 告 者 王瓊琦. postpartum depression : identification of women at risk.
David Yens, Ph.D. NYCOM PASW-SPSS STATISTICS David P. Yens, Ph.D. New York College of Osteopathic Medicine, NYIT l PRESENTATION.
Lecture 3: Measuring the Occurrence of Disease
1 Lecture 2: Types of measurement Purposes of measurement Types and sources of data Reliability and validity Levels of measurement Types of scale.
Primary Health Care Nursing (NUR 473)
Breast Cancer Methods for Early Detection. Breast Cancer What It Is Methods of Early Detection Risk Factors.
Genital Human Papillomavirus Infection: Incidence and Risk Factors in a Cohort of Female University Students R.L. Winer, Shu-Kuang Lee, J.P. Hughes, D.
Teaching Registrars Research Methods Variable definition and quality control of measurements Prof. Rodney Ehrlich.
Chapter 3: Measures of Morbidity and Mortality Used in Epidemiology
Max Brinsmead MB BS PhD May  To date the pregnancy  But ultrasound is more accurate  To identify problems requiring pro active care  Antenatal.
HUMAN SEXUALITY VOCABULARY Where do babies come from?
National Center for Health Statistics DCC CENTERS FOR DISEASE CONTROL AND PREVENTION Women’s Health Data in the National Survey of Family Growth (NSFG)
Criteria to assess quality of observational studies evaluating the incidence, prevalence, and risk factors of chronic diseases Minnesota EPC Clinical Epidemiology.
Year 10 Science Health and disease
Measuring the Occurrence of Disease 1 Sue Lindsay, Ph.D., MSW, MPH Division of Epidemiology and Biostatistics Institute for Public Health San Diego State.
Biostatistics.
Introduction to OB/Gyn Rotation (481 GYN) History Taking in OB/Gyn
Reproductive Effects of Pesticide Exposure Pesticide Health Effects Medical Education Database (PHEMED)
Unit 2 – Public Health Epidemiology Chapter 4 – Epidemiology: The Basic Science of Public Health.
Instructor Resource Chapter 6 Copyright © Scott B. Patten, 2015.
Organization of statistical research. The role of Biostatisticians Biostatisticians play essential roles in designing studies, analyzing data and.
Epidemiological Research. Epidemiology A branch of medical science that deals with the incidence, distribution, and control of disease in a population.
BIOSTATISTICS Lecture 2. The role of Biostatisticians Biostatisticians play essential roles in designing studies, analyzing data and creating methods.
SCREENING FOR DISEASE. Learning Objectives Definition of screening; Principles of Screening.
© 2010 Jones and Bartlett Publishers, LLC. Chapter 6 General Health and Population Indicators.
Female Reproductive Unit -Introduction
DETERMINATION OF PREGNANCY EPISODES AND OUTCOMES WITHIN A DISTRIBUTED NETWORK OF OBSERVATIONAL DATABASES Amy Matcho 1, Patrick B. Ryan, PhD 1, Daniel Fife,
Chapter 2. **The frequency distribution is a table which displays how many people fall into each category of a variable such as age, income level, or.
National Center for Fetal Medicine Dept. Ob–Gyn Trondheim Norway Pregnancy dating.
Correlates of HIV testing among youth in three high prevalence Caribbean Countries Beverly E. Andrews, Doctoral Candidate University.
Lecture Fifteen Biomedical Engineering for Global Health.
Descriptive Study Designs POPULATIONS (GROUPS) ---Ecologic (aggregate) studies INDIVIDUALS ---Case reports ---Case series ---Cross sectional surveys.
Female Reproductive Unit -Introduction
The Wonders of Pregnancy Chapter 8
Non-Communicable Diseases Risk Factors Survey in Georgia
The Developing Child I Chapter 5 Study Guide.
Dr. Farhat R Malik Associate Professor Community Health Sciences- PMC
College of Applied Medical Sciences
Research Proposal Data collection Components of the study
Prenatal testing.
REPRODUCTIVE DISORDERS
ERRORS, CONFOUNDING, and INTERACTION
Epidemiological Measurements of health
Basic measurements in Demography
Presentation transcript:

Wilfried Karmaus Department of Epidemiology, MSU You find class material in: EPI 824 Reproductive outcomes

Content 1.Scales 2.Incidence, point / period / lifetime prevalence 3.Sources of information 4.Methods of determination 5.Reproductive markers (outcomes) a.Time-related b.Variable or stable characteristic 6.Validity and reproducibility

Epidemiology = Bridge between natural an social science and statistical models Natural and social science Statistical models that describe different distribution Science to describe distribution of health and its risk factors in a population

Scales Nominal scale (no inherent order) Ordinal scale Continuous scale (interval scale, ratio scale, discrete data [counts] ) Epidemiologic measures Incidence = change of status over time = rate (time is in the denominator) Prevalence = proportion = risk Point prevalence (on this day etc., in this exam) Period prevalence (in the last 3 months, 12 months, etc. Life time prevalence: “ever experienced”

Sources of information Collection of new data (interviews, clinical, blood, human milk, placenta, amniotic fluid, etc.) Files (medical files, company files, etc.) Public records (birth registry, natality statistics, grave yards, birth defects, for Michigan: for: Jacobs Institute of Womens Health:

Methods of determination Interviews, questionnaires Abstract existing files Clinical investigations: breech or cephalic presentation, malformations, birth weight, head circumference, ultrasound examinations, etc. Biochemical measurements: hormones, AFP, pregnancy tests, etc.

Reproductive outcomes (markers) Time-related markers  age at menarche  age at menopause  age at first intercourse  interval between menarche and first intercourse  age at first marriage  cycle length, duration of menstruation

Reproductive outcomes (markers) Time-related markers  gestational age  LMP (date of last menstrual period before conception)  Time to pregnancy (TTP)  Periods of unprotected TUI intercourse not leading to (time of pregnancy (PUNP) unprotected intercourse) (time of unprotected intercourse)

Reproductive outcomes (markers) Behavioral markersBehavioral markers  Contraceptive use  Planning a baby  Frequency of sexual intercourse  Number and gender of partners  Use of fertility services

Reproductive outcomes (markers) Pregnancy characteristics / reproductive historyPregnancy characteristics / reproductive history  Gravidity  Parity  Plurality  Pregnancy outcome (stillbirth, live birth, induced abortion, miscarriage, ectopic pregnancy, etc.)  Gender of the offspring  Number of children

Reproductive outcomes (markers) Clinical characteristicsClinical characteristics  Fetal growth (ultrasound)  breech / cephalic delivery  birthweight, size, head circumference  placental markers  malformations  retinopathy of prematurity  fibroids, neoplasm  genital and breast development (Tanner stages)  variocele, PID, etc.

Reproductive outcomes (markers) Biochemical characteristicsBiochemical characteristicsMale:  hormones  sperm count / motility Female:  hormones  AFP, etc. Pregnancy:  pregnancy test, hormone profiles  immunological markers, RH-, ABO-system  bilirubin, etc.

Validity and Reliability Validity of a measurement: We have a gold standard.Validity of a measurement: We have a gold standard. –Pap smear and biopsy –Circumcision status and physician’s examination by questionnaire Reliability or reproducibility of a measurement:Reliability or reproducibility of a measurement: We compare two or more proxy-measurements or two or more determination of the gold standard. We compare two or more proxy-measurements or two or more determination of the gold standard.

result of the test diseaseno disease disease a=true positive b=false positive no disease c=false negative d=true negative positive predictive value=a/(a+b) negative predictive value = d/(c+d) Specificity = Pr(classified non-diseased  truly non diseased) = d/(b + d) Sensitivity = Pr(classified diseased  truly diseased) = a/(a + c) Truth Assessment of validity of a measurement

Validity of a measurement criteria: - specificity and - sensitivity Sensitive tests: high detection rate of persons truly diseased (or truly exposed) Specific tests: high detection rate of persons free of disease (or free of exposure) Sensitivity and specificity of a test are independent of the prevalence of the disease (exposure).

OBSERVATION A abnormalnormal OBSERVATION B abnormalabrow1 normalcdrow2 col1col2total Reproducibility of a measurement = Reliability Comparing measurements, not with a gold standard. Inter-rater (between observer) Intra-rater (test – retest, within observer)

Reproducibility of a measurement  Discrete variables: kappa coefficient  Continuous variables:intra-class correlation coefficient (ICC) perfect agreement: kappa = 1 chance agreement: kappa = 0

Take home points Reproductive epidemiology uses a wide range of measurement methods. Time-related measurements are common variables in reproductive epidemiology. We cannot not easily express all variables as incidence or prevalence. Questionnaires and registry data are frequently applied to determine the burden of health problems. Specific and more costly procedures are used to determine the etiology of adverse outcomes in smaller samples.