Difference between revisions of "Measures of impact among the exposed"
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==Attributable risk among the exposed (ARe)== | ==Attributable risk among the exposed (ARe)== | ||
| − | The attributable risk among the exposed (risk difference or excess risk) is the proportion of cases among exposed individuals that can be attributed | + | The attributable risk among the exposed (risk difference or excess risk) is the proportion of cases among exposed individuals that can be attributed to the exposure. It provides information about the absolute effects of exposure [1]. |
===EXAMPLE: Reducing automobile related deaths=== | ===EXAMPLE: Reducing automobile related deaths=== | ||
| − | Let us suppose that we are in charge of a prevention | + | Let us suppose that we are in charge of a prevention program and that our goal is to reduce automobile-related deaths. However, we have a limited budget and want to have the maximum impact on reducing deaths. |
We decide to conduct a cohort study of 10,000 drivers to examine risk factors for automobile-related deaths. We are particularly interested in factors like drunk driving and speeding since we believe interventions are feasible. | We decide to conduct a cohort study of 10,000 drivers to examine risk factors for automobile-related deaths. We are particularly interested in factors like drunk driving and speeding since we believe interventions are feasible. | ||
| − | We would like to quantify the disease burden (deaths) | + | We would like to quantify the disease burden (deaths) from exposure in both groups (drunk drivers and speeding drivers). This means that in each exposed group, we are aiming to measure how many deaths occur due to drunk driving and speeding, respectively. |
First, we calculate the risk difference between the exposed and unexposed. This is known as the attributable risk among the exposed (ARe): | First, we calculate the risk difference between the exposed and unexposed. This is known as the attributable risk among the exposed (ARe): | ||
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RR = risk ratio | RR = risk ratio | ||
| − | In the example of speeding and drunk driving we therefore have: | + | In the example of speeding and drunk driving, we therefore have: |
===Speeding=== | ===Speeding=== | ||
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[[0207.AFe-3.gif-550x0.png]] | [[0207.AFe-3.gif-550x0.png]] | ||
| − | This means that (if speeding causes driving related deaths) 80% of driving related deaths among speeding drivers can be attributed to speeding. They could be avoided if speeding did not occur. | + | This means that (if speeding causes driving-related deaths) 80% of driving-related deaths among speeding drivers can be attributed to speeding. They could be avoided if speeding did not occur. |
===Drunk driving=== | ===Drunk driving=== | ||
[[7343.AFe-4.gif-550x0.png]] | [[7343.AFe-4.gif-550x0.png]] | ||
| − | This means that (if drunk driving causes driving related deaths) 91% of driving related deaths among drunk drivers can be attributed to drunk driving. They could be avoided if drunk driving did not occur. | + | This means that (if drunk driving causes driving-related deaths) 91% of driving-related deaths among drunk drivers can be attributed to drunk driving. They could be avoided if drunk driving did not occur. |
| − | These examples illustrate what happens if exposure increases risk of disease. If exposure prevents disease (e.g. vaccination), the attributable risk is often called the preventable fraction among the exposed (PFe). | + | These examples illustrate what happens if exposure increases the risk of disease. If exposure prevents disease (e.g. vaccination), the attributable risk is often called the preventable fraction among the exposed (PFe). |
We would then have the following: | We would then have the following: | ||
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306,045 x (1.72/1,000) = 526 cases | 306,045 x (1.72/1,000) = 526 cases | ||
| − | We have calculated that the vaccine | + | We have calculated that the vaccine prevented 72% of these cases (the preventable fraction). |
| − | The estimated number of cases that were prevented by the vaccination | + | The estimated number of cases that were prevented by the vaccination program is therefore: |
526 x 0.72 = 379 cases | 526 x 0.72 = 379 cases | ||
Revision as of 08:42, 19 December 2022
Contents
Attributable risk among the exposed (ARe)
The attributable risk among the exposed (risk difference or excess risk) is the proportion of cases among exposed individuals that can be attributed to the exposure. It provides information about the absolute effects of exposure [1].
Let us suppose that we are in charge of a prevention program and that our goal is to reduce automobile-related deaths. However, we have a limited budget and want to have the maximum impact on reducing deaths.
We decide to conduct a cohort study of 10,000 drivers to examine risk factors for automobile-related deaths. We are particularly interested in factors like drunk driving and speeding since we believe interventions are feasible.
We would like to quantify the disease burden (deaths) from exposure in both groups (drunk drivers and speeding drivers). This means that in each exposed group, we are aiming to measure how many deaths occur due to drunk driving and speeding, respectively.
First, we calculate the risk difference between the exposed and unexposed. This is known as the attributable risk among the exposed (ARe):
The study gives the following results:
Table. Risk of death from speeding or drunk driving, Anystate, 2010 Speeding
| Speeding | Total drivers | No. of deaths | Risk of death | Attributable risk (exposed) |
|---|---|---|---|---|
| Yes | 2,000 | 100 | 50 | 50 - 10 = 40/1,000 |
| No | 8,000 | 80 | 10 | |
| Drunk driving | Total drivers | No. of deaths | Risk of death per 1,000 | Attributable risk (exposed) |
| Yes | 300 | 45 | 150 | 150 - 14 = 136/1,000 |
| No | 9,700 | 135 | 14 |
We can also express attributable risk as the percentage of all deaths among the exposed that can be attributed to the exposure. .This is known as the attributable fraction among the exposed (AFe):
Ie = incidence among exposed
Iu = incidence among unexposed
If the risk factor is causal, then the attributable fraction among the exposed corresponds to the proportion of disease among the exposed that can:
- be attributed to the exposure
- be avoided by eliminating the exposure.
Attributable fraction in cohort studies
In a cohort study, the attributable fraction among the exposed (AFe) is:
Ie = incidence among exposed
Iu = incidence among unexposed
RR = risk ratio
In the example of speeding and drunk driving, we therefore have:
Speeding
This means that (if speeding causes driving-related deaths) 80% of driving-related deaths among speeding drivers can be attributed to speeding. They could be avoided if speeding did not occur.
Drunk driving
This means that (if drunk driving causes driving-related deaths) 91% of driving-related deaths among drunk drivers can be attributed to drunk driving. They could be avoided if drunk driving did not occur.
These examples illustrate what happens if exposure increases the risk of disease. If exposure prevents disease (e.g. vaccination), the attributable risk is often called the preventable fraction among the exposed (PFe).
We would then have the following:
Ie = incidence among exposed
Iu = incidence among unexposed
RR = risk ratio
Table. Vaccine effectiveness in the population of Anystate, 2010
| No. of cases | Cases per 1,000 | Risk ratio (RR) | ||
|---|---|---|---|---|
| Population | ||||
| Vaccinated | 306,045 | 150 | 0.49 | 0.28 |
| Unvaccinated | 298,655 | 515 | 1.72 | Reference |
| Total | 604,700 | 665 | 1.1 |
To calculate the preventable fraction:
4861.PFe-1.gif-550x0.png
The expected number of cases among the vaccinated population, if they were unvaccinated, is:
306,045 x (1.72/1,000) = 526 cases
We have calculated that the vaccine prevented 72% of these cases (the preventable fraction).
The estimated number of cases that were prevented by the vaccination program is therefore:
526 x 0.72 = 379 cases
Attributable fraction in case-control studies
AFe = attributable fraction among the exposed
PFe = preventable fraction among the exposed
OR = odds ratio
Two assumptions are made in substituting OR for RR:
that controls are representative of the general population
that the prevalence of exposure is low [2].
Methods are also available for calculating attributable fractions for matched case-control studies [3].
Synopsis
Attributable risk among the exposed (ARe)
- The number of cases (amount of disease) among the exposed that can be attributed to the exposure
- What is the risk among the exposed that is due to the exposure?
- This is calculated as the absolute difference between risk in the exposed and risk in the unexposed
- It assumes that the causal effect is entirely due to the risk factor
Synonyms:
- Attributable risk (exposed)
- Attributable benefit (exposed)
- Risk difference / Excess risk
- Rate difference / Excess rate
- Absolute risk reduction
Attributable fraction among the exposed (AFe)
- The proportion of cases (percentage of disease) among the exposed that can be attributed to the exposure
- Attributable risk expressed as a proportion of the risk in the exposed
- What is the proportion of disease among the exposed that:
- can be attributed to the exposure?
- can be prevented if the exposure is eliminated?
Synonyms:
- Attributable fraction (exposed)
- Attributable proportion / Attributable risk percent (exposed)
- Aetiological fraction / Preventable fraction (exposed)
- Relative risk reduction
References
1. Greenland S, Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol 1988;128:1185-97. 2. Cole P, MacMahon B. Attributable risk percent in case-control studies. Br J Prev Soc Med 1971;25:242-4. 3. Kuritz SJ, Landis JR. Attributable risk ratio estimation from matched-pairs case-control data. Am J Epidemiol 1987;125:324-8.
credits
FEM Editor 2007
- Meirion Evans
Original Authors
- Alain Moren
- Marta Valenciano
- Thomas Grein
FEM Contributors
- Lisa Lazareck
- Meirion Evans
