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Related Experiment Videos

Family practice incidence rates

D B Cauthen1

  • 1Department of Family Medicine, Scott & White Clinic and Memorial Hospital, Temple, TX.

The Journal of the American Board of Family Practice
|July 1, 1994
PubMed
Summary

The family practice incidence rate (FPIR) simplifies disease incidence for physicians. This calculation helps family physicians understand disease occurrence within their specific patient populations.

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Area of Science:

  • Epidemiology
  • Family Medicine
  • Public Health

Background:

  • Practicing physicians face challenges applying general disease incidence data to their specific patient populations.
  • A need exists for practical tools to translate epidemiological findings into actionable clinical insights.
  • The family practice incidence rate (FPIR) was developed to bridge this gap.

Purpose of the Study:

  • To introduce and explain the family practice incidence rate (FPIR) calculation.
  • To demonstrate how FPIR can assist family physicians in understanding disease prevalence within their practice.
  • To provide a method for applying epidemiological data to individual patient panels.

Main Methods:

  • The FPIR is calculated by multiplying annual disease incidence by practice panel size and dividing by the total population.
  • The formula can be adapted for variations in panel size, patient demographics, and regional incidence rates.
  • Fractional results indicate the time frame (in years) to expect a single case.

Main Results:

  • The FPIR provides a direct estimate of disease cases a physician might encounter annually.
  • The calculation offers a practical approach to disease incidence relevant to a physician's practice.
  • Adjustments allow for customization based on specific practice characteristics and geographic factors.

Conclusions:

  • The FPIR is a valuable and convenient model for physicians to access disease incidence, mortality, and demographic data.
  • Implementing the FPIR calculation enhances a physician's understanding of their patient population's health landscape.
  • This tool facilitates better application of epidemiological information in primary care settings.

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