1 / 34

Unit 2: Measures of Disease Occurrence

Unit 2: Measures of Disease Occurrence. Unit 2 Learning Objectives: Understand counts, ratios, proportions, and rates. Define, calculate, and interpret incidence. Understand the use of person-time denominators. Distinguish between cumulative incidence and incidence rate.

dexter
Download Presentation

Unit 2: Measures of Disease Occurrence

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Unit 2: Measures of Disease Occurrence

  2. Unit 2 Learning Objectives: • Understand counts, ratios, proportions, and rates. • Define, calculate, and interpret incidence. • Understand the use of person-time denominators. • Distinguish between cumulative incidence and incidence rate. • Define, calculate, and interpret prevalence. • Distinguish between point and period prevalence.

  3. Unit 2 Learning Objectives (cont.): • Understand special types of incidence and prevalence measures. • Understand the interrelationship between incidence, prevalence, and duration of disease. • Differentiate the use of incidence and prevalence measures. • Become familiar with methods used in survival analysis.

  4. Assigned Readings: Textbook (Gordis): Chapter 3, pages 32-58 (Measuring occurrence of morbidity and mortality Chapter 6, pages 96-112 (Person years and survival analysis)

  5. Quantitative Measures of Health Status Measures of health status convey information about the occurrence of disease. They include: • Counts • Proportions • Ratios • Rates

  6. Counts • Simplest/most frequently performed measure in epidemiology • Refers to the number of cases of a disease or other health phenomenon being studied i.e. cases of influenza in Allegheny county in January, 2002 i.e. Number of persons involuntarily referred for psychiatric crisis intervention • Useful for allocation of health resources • Limited usefulness for epidemiologic purposes without knowing size of the source population

  7. Counts – Limited Interpretation New Cases Reporting Locationof DiseasePeriodPopulation City A 20 1998 100 City B 100 1998 1000 Annual Rate of Occurrence City A: 20 / 100 = 1 / 5 City B: 100 / 1000 = 1 / 10

  8. Proportions • Persons included in the numerator are always included in the denominator: A Proportion: -------- A + B • Indicates the magnitude of a part, related to the total. • In epidemiology, tells us the fraction of the population that is affected.

  9. Proportions - Example P = A / (A + B) = (1,400 / 11,050) = 0.127

  10. Proportions • Numerical value of a proportion: 0 to 1.0 • Linked to probability theory (i.e. risk of developing disease) • For ease of usage, can multiply a proportion by 100 to get a percentage • Example: p = 0.127 = 12.7%

  11. Ratios • Like a proportion, is a fraction, BUT without a specified relationship between the numerator and denominator • Example: Occurrence of Major Depression Female cases = 240 240 ------------------------ = ---- 2:1 female to male Male cases = 120 120

  12. Rates • A ratio in which TIME forms part of the denominator • Epidemiologic rates contain the following elements: • disease frequency (in the numerator) • unit size of population • time period during which an event occurs

  13. Rates – Example Calculate crude annual death rate in the US: Annual death count Crude death rate = ----------------------- x 1,000 Reference population (during midpoint of year) Death count in U.S. during 1990: 2,148,463 U.S. population on June 30, 1990: 248,709,873 2,148,463 Crude death rate = -------------- x 1,000 = 8.64 per 1,000 248,709,873

  14. Discussion Question 1 What does a crude annual death rate of 8.64 per 1,000 mean?

  15. Discussion Question 1 • It means that over the course of a year: • About 9 persons in 1,000 died. • About 864 persons per 100,000 died. • The risk of dying was about 0.9% (see below) • 2,148,463 • Crude death rate = -------------- = 0.0086 x 100 = 0.86% • 248,709,873

  16. Incidence The development of new cases of a disease that occur during a specified period of time in previously disease-free or condition-free (“at risk”) individuals.

  17. Incidence Incidence quantifies the “development” of disease --- Most fundamental measure of disease frequency and leads to the development of the concept of risk (i.e transition from non-diseased to diseased state) - Cumulative incidence (CI) (“Incidence proportion”) - Incidence rate (IR) (“Incidence density”)

  18. Cumulative Incidence (CI) PROPORTION of individuals who become diseased during a specified period of time (e.g. all new cases during 1998) Range: 0 to 1.0 Also referred to as “incidence proportion.”

  19. Cumulative Incidence (CI) No. of new cases of disease during a given period CI = -------------------------------------------------------------- Total population at risk during the given period Example: During a 1-year period, 10 out of 100 “at risk” persons develop the disease of interest. 10 CI = ----- = 0.10 or 10.0% 100

  20. Cumulative Incidence (CI) • To accurately calculate cumulative incidence, we need to follow the entire population for the specified time interval. Often times, this does not fully occur. • Cumulative incidence provides an estimate of the probability (risk) that an individual will develop a disease during a specified period of time.

  21. Cumulative Incidence (CI) • Keep in mind that over any appreciable period of time, it is usually technically impossible to measure risk. • This is because if a population is followed over a period of time, some people in the population will die from causes other than the outcome under study • The phenomenon of being removed from a study through death from other causes is referred to as ”competing risks”.

  22. Incidence Rate (IR) No. new cases of disease during a given period IR = ----------------------------------------------------------- Total “person-time” of observation Range = 0 to Infinity Since the number of cases is divided by a measure of time of observation, rather than people, this helps address the problem of competing risks.

  23. Incidence Rate (IR) What is person time? When we observe a group of individuals for a period of time in order to ascertain the DEVELOPMENT of an event…. - The actual time each individual is observed will most likely vary.

  24. Discussion Question 2 In a 2-year study of the development of disease X, why might the actual time each individual is observed vary?

  25. Discussion Question 2 • Because: • Subjects may be recruited at different times • Subjects may emigrate • Subjects may choose to leave study • Subjects may die • Subjects may get the disease we are studying

  26. Person-Time Each subject contributes a specific person-time of observation (days, months, years) to the denominator PersonFollow-up Time on StudyPerson Yrs. 1 <-------------------------------------> 2 2 <--------------------------------------D 2 3 <-----------------WD 1 4 <-------------------------------------------------------> 3 5 <-------------------------------------> 2 1995 1996 1997 1998 Jan. Jan. Jan. Jan.

  27. Person-Time PersonFollow-up Time on StudyPerson Yrs. 1 <-------------------------------------> 2 2 <--------------------------------------D 2 3 <-----------------WD 1 4 <-------------------------------------------------------> 3 5 <-------------------------------------> 2 1995 1996 1997 1998 Jan. Jan. Jan. Jan. Study Period: 3 Years Study Participants: 5 Person Years of Observation: 10 Average Duration of Follow-Up: 2.0 Years

  28. Incidence Rate (IR) No. new cases of disease during a given period IR = ------------------------------------------------------------ Total “person-time” of observation So, 1 case IR = ----------- = 1 case per 10 years follow-up 10 years Whereas, 1 case CI = ------------ = 0.20 = 20.0% 5 persons

  29. Comparison of IR and CI If we multiply by 0.2, the IR of 1 case per 10 years is equivalent to 0.2 cases per 2 years: which suggests a 20% risk of disease development within 2 years of follow-up. Whereas, the CI risk estimate of 20% (1 case per 5 persons) was based on a period of 3 years of follow-up. The CI calculation of risk of disease development differs from the IR calculation, in part, because it assumed that for incomplete follow-up, no cases of disease occurred.

  30. Discussion Question 3 Previously, we said that the incidence rate can range from 0 to infinity! How can this be?

  31. Discussion Question 3 Consider the following: McDonald’s shooting lasting 1/2 hour with 50 patrons in the restaurant. 29 survivors: at risk period of 1/2 hr = 14.5 personhrs. 21 deaths: at risk period of avg. 1/4 hr = 5.25 person hrs. =21 deaths / 20 person hours This translates to 919,800,000 / 100,000 person years Therefore, as time increases, IR approaches infinity.

  32. Incidence Rate (IR) NOTE: The selection of the time unit for the denominator is arbitrary, and is not directly interpretable: Example: 100 cases / person year can also be expressed as: 10,000 cases / person century 8.33 cases / person month 1.92 cases / person week 0.27 cases / person day

  33. Incidence Rate (IR) • Incidence rate: - Incidence density - Force of morbidity • Measure of the instantaneous rate of development of disease in a population

  34. Comparison of IR and CI In general: Risk estimates derived from IR and CI calculations will be similar when: • Follow-up loss is minimal • The disease of interest occurs infrequently. CI is most useful if interest centers on the probability than an individual will become ill over a specified period of time. IR is preferred if interest centers on how fast the new cases are occurring in the population.

More Related