Epidemiology

RETROSPECTIVE STUDY

Written by MicroDok

Retrospective study which can also be called case control study is an observational analytic epidemiologic study that makes use of information or data from a sample of the study population (i.e. the exposed individuals of the population) rather than looking at the full members of the population. In case control studies, the epidemiologist or researcher gathers information from members of a population at once and then classify the data into different groups (cases or controls). The cases are the participants with a potential risks factors (i.e. people diagnosed as having the disease) while the controls are members with the same risk factor (i.e. persons without the disease) and, both the cases and controls in a retrospective study are compared with a view to getting concrete information about the disease. The researcher selects individuals of a population on the basis of whether or not they have the disease being investigated, and he/she goes ahead to determine their previous exposure retrospectively (both for cases and controls). After proper investigation and grouping by the researcher, if the exposure is more common among cases than individuals that were grouped as controls, then the exposure is associated with the disease.

Retrospective study is a backward looking observational epidemiological study in the sense that it compares cases and controls of a study with regards to the presence of a suspected aetiological factor (s) in their past experience (exposure). In this type of study, the researcher looks backwards from the disease to a possible cause. It is usually the first approach to estimate the cause-effect relationship between a disease and a suspected risk factor. Case-control studies are most suitable in the investigation of rare diseases (e.g. cancer, cardiovascular diseases, and hip fracture). They are the most frequent analytical epidemiological studies and, such studies starts with individuals who have already developed the condition of interest. A retrospective study selects participants based on their disease status; thus a case group (participants that are disease positive) and a control group (participants that are disease negative) are compared to each other. The association between a disease and the exposure rate in a retrospective study is expressed as the odds ratio. Odd ratio (OR) is defined as the statistics generated in a case-control study to measure the association between disease and exposure. As earlier stated, it is a measure of the relationship between an exposure and a disease in a retrospective (case-control) study (Table 1).

Table 1: Odd Ratio Table

OR > 1: there is association between disease and exposure

OR < 1: then the exposure is a protective (risk) factor in the disease

OR = 1: no association between disease and exposure

For OR to be a good estimate, the case and control groups must be representative of the general population with respect to disease exposure. Note: The odds of an outcome are simply defined as the number of times the outcome occurs to the number of times it does not. Case-control studies only odd ratio as its own measure of disease frequency and risk (Table 1).

Odd Ratio is mathematically expressed as: OR = (ac/bd)

Where: ac (numerator) = the ratio of the odds of exposure in the cases

bd (denominator) = the odds of exposure in the controls

It is generated by constructing a 2×2 table as shown in Table 28.1

In retrospective studies, the control groups should be selected in such a way that it reflects the exact population that generated the disease being investigated. Controls are also generated by the individual matching to putative cases. In a case-control study, controls can be selected based on any of the following criteria:

  • Random sampling of the population under study: In random sampling, there is no introduction of systematic errors because from a statistical point of view the control groups are truly the representative of the study population. The study population is normally accessible but on the other hand, there is usually a high non-response rate amongst the members of the population without the disease (i.e. the healthy individuals).
  • Non-random sampling of the study population: Non-random sampling is undertaken when the study population is not easily accessible for random sampling (e.g. if the cases are patients with the disease in a particular hospital). It is also used as an approach to reduce the high non-response encountered with healthy individuals of a population from which the control groups will be drawn from. A systematic error can be introduced in a non-random sampling because when the controls are selected non-randomly it will not be easy to know to what extent the control group exposure reveal the exposure distribution of the disease in the community/population that produced the disease.

Retrospective (case-control) studies are not without some advantages or disadvantages.

MERITS OF RETROSPECTIVE STUDIES

  1. They are well suitable for the evaluation of diseases that has long latency period.
  2. They make use of existing data or record about a disease.
  3. They are inexpensive, quick and very reliable in establishing evidence of an exposure to a risk factor and an unfavourable outcome.
  4. They are helpful for studying rare diseases.
  5. Because it is backward, a large number of populations for study is not usually required.
  6. They require few cases and control groups to study a particular disease outbreak.
  7. They can study multiple causes (or aetiologic factors) of a disease.

DEMERITS OF RETROSPECTIVE STUDIES

  1. There is usually difficulty in the selection of a control group.
  2. The results of a retrospective study are usually difficult to interpret.
  3. There is a greater chance of bias in result since the study is retrospective.
  4. It barely establishes the cause of disease due to flaws in collected data from past or previous exposure to risk.
  5. Case-control studies do not allow an investigator to study the mechanism of action of diseases.

References

Schneider M.J (2011). Introduction to Public Health. Third edition. Jones and Bartlett Publishers, Sudbury, Massachusetts, USA.

Stedman’s medical dictionary, 27th edition. Philadelphia: Lippincott, Williams and Wilkins.

Songer T (2005). Study designs in epidemiologic research. Supercourse, (http://www.pitt.edu/~super1/lecture/lec19101/index.htm) (Accesed May 2103).

Singleton P and Sainsbury D (1995). Dictionary of microbiology and molecular biology, 3d ed. New York: John Wiley and Sons.

Taylor LH, Latham SM, Woolhouse ME (2001). Risk factors for disease emergence. Philos Trans R Soc Lond B Biol Sci, 356:983–989.

Salyers A.A and Whitt D.D (2001). Microbiology: diversity, disease, and the environment. Fitzgerald Science Press Inc. Maryland, USA.

Rothman K.J, Greenland S and Lash T.L (2011). Modern Epidemiology. Third edition. Lippincott Williams and Wilkins, Philadelphia, PA, USA.

Rothman K.J and Greenland S (1998). Modern epidemiology, 2nd edition. Philadelphia: Lippincott-Raven.

Porta M (2008). A dictionary of epidemiology. 5th edition. New York: Oxford University Press.

Patrick R. Murray, Ellen Jo Baron, James H. Jorgensen, Marie Louise Landry, Michael A. Pfaller (2007). Manual of Clinical Microbiology, 9th ed.: American Society for Microbiology.

Nelson K.E and Williams C (2013). Infectious Disease Epidemiology: Theory and Practice. Third edition. Jones and Bartleh Learning.

Mandell G.L., Bennett J.E and Dolin R (2000). Principles and practice of infectious diseases, 5th edition. New York: Churchill Livingstone.

Merill R.M (2012). Introduction to Epidemiology. Sixth edition. Jones and Bartleh Learning,

Molyneux, D.H., D.R. Hopkins, and N. Zagaria (2004) Disease eradication, elimination and control: the need for accurate and consistent usage. Trends Parasitol, 20(8):347-51.

MacMahon   B.,   Trichopoulos   D (1996). Epidemiology Principles and Methods.   2nd ed. Boston, MA: Little, Brown and Company. USA.

Aschengrau A and Seage G.R (2013). Essentials of Epidemiology in Public Health. Third edition. Jones and Bartleh Learning,

Aschengrau, A., & G. R. Seage III. (2009). Essentials of Epidemiology in Public Health.  Boston:  Jones and Bartlett Publishers.

 

 

 

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