Historical cohorts

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Historical Cohorts - The Time Travelers

  • A retrospective study design where the investigator travels back in time by using existing records to identify a cohort.
  • Both the exposure and the outcome have already occurred before the study begins.
  • Pros: Inexpensive, quick, and ideal for diseases with long latency periods.
  • Cons: Vulnerable to confounding and missing/inaccurate data from records not intended for research.

Medical Records Archive for Historical Cohort Studies

Exam Favorite: Unlike case-control studies that start with the outcome (disease), historical cohorts start by identifying exposed and unexposed groups in the past and then follow them forward in the records to find the outcome.

Design & Data - Digging in the Crates

  • Retrospective Data Collection: The investigator accesses historical records to define exposure status and track outcomes over time.
    • Data Sources: Patient charts, occupational records, military service files, and existing databases.
    • Timeline: Both the exposure and the outcome have already occurred before the study is initiated.
  • Procedure:
    • Identify a cohort from the past.
    • Determine their exposure status from the historical records.
    • "Follow" them forward through the records to the present to ascertain outcome status.

⭐ The primary advantage is efficiency; it's significantly faster and cheaper than a prospective study because the follow-up period has already passed.

  • Major Limitations:
    • Heavy reliance on the quality and completeness of existing records.
    • Information on potential confounders may be unavailable or poorly documented.

Pros vs. Cons - Quick & Dirty

Advantages (Pros)Disadvantages (Cons)
* Efficient: Less time-consuming and cheaper than prospective cohorts as the events have already occurred.* Data Limitations: Dependent on the quality and completeness of existing medical or occupational records.
* Long Latency Periods: Well-suited for studying diseases that take many years to manifest after exposure.* Confounder Control: Difficult to control for confounding variables that were not documented in the original data.
* Rare Exposures: Powerful design for analyzing outcomes from uncommon exposures.* Information Bias: High risk of misclassifying exposure status or outcome due to reliance on historical data.

Historical Cohort Study Design

Biases & Blunders - Watch Your Step

  • Selection Bias: Occurs if the chosen cohorts are not representative of the populations of interest. Often a major issue if using occupational records, as the "healthy worker effect" may be present.
  • Information Bias (Misclassification)
    • Data quality is a primary limitation. Exposure and outcome status can be misclassified based on incomplete or inaccurate historical records.
    • Usually non-differential (errors are similar between groups), which biases the measure of association (e.g., Relative Risk) toward the null value of 1.0.
  • Confounding: Limited by the data available in the records. You cannot control for a confounder if it was never recorded.

⭐ The single greatest vulnerability of a historical cohort study is its dependence on the quality and completeness of pre-existing data, which was not collected for research purposes.

High‑Yield Points - ⚡ Biggest Takeaways

  • A historical cohort design begins with past exposure from records and follows subjects forward to the present.
  • Also known as a retrospective cohort study; outcomes may have already occurred when the study begins.
  • Less time-consuming and expensive than prospective designs.
  • Ideal for diseases with a long latency period.
  • Highly dependent on the quality of existing records, making it prone to information bias.
  • Calculates relative risk (RR) as the measure of association.

Practice Questions: Historical cohorts

Test your understanding with these related questions

A case-control study with a focus on risk factors that may influence the development of depression was conducted among the elderly population in one tertiary hospital in Malaysia. The study involved 150 elderly patients diagnosed with depressive illness from the psychiatry ward, as well as another group of 150 elderly patients without any history of depressive illness (but hospitalized for other reasons) at the same ward. The data were collected through questionnaires, and 2 principal investigators (who were also the patients’ attending physicians) acted as interviewers after proper training for the purposes of this study. Multivariate analyses of logistic regression with independent variables were employed to determine the adjusted odds ratio for the risk of developing depression. The study results showed that a lower level of social support, lack of education, and the presence of chronic illnesses highly correlated with depression. In order to maximally avoid bias that may stem from this kind of study design, what should the researchers have done differently to increase the validity of their results?

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Flashcards: Historical cohorts

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_____ studies are useful for calculating relative risk (RR)

TAP TO REVEAL ANSWER

_____ studies are useful for calculating relative risk (RR)

Cohort

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