Pearl Index Explained

The Pearl Index, also called the Pearl rate, is the most common technique used in clinical trials for reporting the effectiveness of a birth control method. It is a very approximate measure of the number of unintended pregnancies in 100 woman-years of exposure that is simple to calculate, but has a number of methodological deficiencies.

The index was introduced by Raymond Pearl in 1934.[1] It has remained popular for over eighty years, in large part because of the simplicity of the calculation.

Calculation

Several kinds of information are needed to calculate a Pearl Index for a particular study:

There are two calculation methods for determining the Pearl Index:

Usage

The Pearl Index is sometimes used as a statistical estimation of the number of unintended pregnancies in 100 woman-years of exposure (e.g. 100 women over one year of use, or 10 women over 10 years). It is also sometimes used to compare birth control methods, a lower Pearl index representing a lower chance of getting unintentionally pregnant.[2]

Usually two Pearl Indexes are published from studies of birth control methods:[3]

Criticisms

Like all measures of birth control effectiveness, the Pearl Index is a calculation based on the observations of a given sample population. Thus, studies of different populations using the same contraceptive will yield different values for the index. The culture and demographics of the population being studied, and the instruction technique used to teach the method, have significant effects on its failure rate.[4] [5]

The Pearl Index has unique shortcomings, however. It assumes a constant failure rate over time. That is an incorrect assumption for two reasons: first, the most fertile couples will get pregnant first. Couples remaining later in the study are, on average, of lower fertility. Second, most birth control methods have better effectiveness in more experienced users. The longer a couple is in the study, the better they are at using the method. So the longer the study length, the lower the Pearl Index will be – and comparisons of Pearl Indexes from studies of different lengths cannot be accurate.

The Pearl Index also provides no information on factors other than accidental pregnancy which may influence effectiveness calculations, such as:

A common misperception is that the highest possible Pearl Index is 100 – i.e. 100% of women in the study conceive in the first year. However, if all the women in the study conceived in the first month, the study would yield a Pearl Index of 1200 or 1300. The Pearl Index is only accurate as a statistical estimation of per-year risk of pregnancy if the pregnancy rate in the study was very low.

In 1966, two birth control statisticians advocated abandonment of the Pearl Index:[6] [7]

See also

Footnotes

  1. Pearl, Raymond . 1933 . Factors in human fertility and their statistical evaluation . Lancet . 222 . 5741 . 607–611 . 10.1016/S0140-6736(01)18648-4.
  2. Web site: Birth control failure rates - the Pearl Index explained . 2023-12-19 . Drugs.com . en.
  3. Web site: Muvs - Der Pearl-Index . 2023-12-19 . muvs.org . en.
  4. Trussell J . A guide to interpreting contraceptive efficacy studies . Obstetrics and Gynecology . 1990 . 76 . 558–567 . 2199875 . 3 Pt 2 . vanc. Hatcher RA . Cates W . 3 . Stewart . FH . Kost . K .
  5. Trussell J . Methodological pitfalls in the analysis of contraceptive failure . Statistics in Medicine . 1991 . 10 . 201–220 . 2052800 . 10.1002/sim.4780100206 . 2.
  6. Sheps MC . Characteristics of a ratio used to estimate failure rates: occurrences per person year of exposure . Biometrics . 1966 . 22 . 310–321 . 5961447 . 10.2307/2528521 . 2 . Biometrics, Vol. 22, No. 2 . 2528521.
  7. Potter RG . Application of life table techniques to measurement of contraceptive effectiveness . Demography . 1966 . 3 . 2 . 297–304 . 10.2307/2060159 . Demography, Vol. 3, No. 2 . 2060159 . 21318704. 29307911 . free .