This paper is aimed to introduce the definition and application of Population Impact Measures (PIMs). The PIMs use Number Need to Treat (NNT) for reference and generalize the variables of clinical research to interest population, which then can be used to measure the effectiveness of interventions and the harmfulness of risk factors, so as to provide evidence for making public health policy. Of the PIMs, the variables used for measuring the effectiveness of interventions include Disease Impact Number (DIN), Population Impact Number (PIN) and Number of Events Prevented in your Population (NEPP); The variables used for measuring the harmfulness of risk factors include Exposure Impact Number (EIN), Exposed Cases Impact Number (ECIN), Population Impact Number (PIN), Case Impact Number (CIN) and Population Impact Number of Eliminating a Risk factor (PIN-ER-t).
Citation:
ZHAO Lei,CUI Xiaochen,GE Fangjun,WANG Pu,GUO Yi. Definition and Application of Population Impact Measures. Chinese Journal of Evidence-Based Medicine, 2012, 12(5): 614-618. doi: 10.7507/1672-2531.20120099
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Heller RF, Dobson AJ. Disease impact number and population impact number: population perspectives to measures of risk and benefit. BMJ, 2000, 321(7266): 950-953.
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Heller RF, Dobson AJ, Attia J, et al. Impact numbers: measures of risk factor impact on the whole population from case-control and cohort studies. J Epidemiol Community Health, 2002, 56(8): 606-610.
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Heller RF, Edwards R, McElduff P. Implementing guidelines in primary care: can population impact measures help? BMC Public Health, 2003, 3: 7.
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Heller RF, Buchan I, Edwards R, et al. Communicating risks at the population level: application of population impact numbers. BMJ, 2003, 327(7424): 1162-1165.
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Attia J, Page J, Heller RF, et al. Impact numbers in health policy decisions. J Epidemiol Community Health, 2002, 56(8): 600-605.
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Verma A, Torun P, Harris E, et al. Population Impact Analysis: a framework for assessing the population impact of a risk or intervention. J Public Health (Oxf), 2011.
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- 1. Heller RF, Page J. A population perspective to evidence based medicine: "evidence for population health". J Epidemiol Community Health, 2002, 56(1): 45-47.
- 2. Perez L, Kunzli N. From measures of effects to measures of potential impact. Int J Public Health, 2009, 54(1): 45-48.
- 3. Khoury MJ, Gwinn M, Ioannidis JP. The emergence of translational epidemiology: from scientific discovery to population health impact. Am J Epidemiol, 2010, 172(5): 517-524.
- 4. Briss PA, Evidence-based: US road and public-health side of the street. Lancet, 2005, 365(9462): 828-830.
- 5. 俞卫. 美国医改新动态: 疗效比较研究启动. 中国卫生, 2009, (11): 78-80.
- 6. 吴泰相, 刘关键. NNT和NNH的概念及应用. 中国循证医学杂志, 2007, 7(9): 669-672.
- 7. Heller RF, Dobson AJ. Disease impact number and population impact number: population perspectives to measures of risk and benefit. BMJ, 2000, 321(7266): 950-953.
- 8. Heller RF, Dobson AJ, Attia J, et al. Impact numbers: measures of risk factor impact on the whole population from case-control and cohort studies. J Epidemiol Community Health, 2002, 56(8): 606-610.
- 9. Heller RF, Edwards R, McElduff P. Implementing guidelines in primary care: can population impact measures help? BMC Public Health, 2003, 3: 7.
- 10. Heller RF, Buchan I, Edwards R, et al. Communicating risks at the population level: application of population impact numbers. BMJ, 2003, 327(7424): 1162-1165.
- 11. Attia J, Page J, Heller RF, et al. Impact numbers in health policy decisions. J Epidemiol Community Health, 2002, 56(8): 600-605.
- 12. Verma A, Torun P, Harris E, et al. Population Impact Analysis: a framework for assessing the population impact of a risk or intervention. J Public Health (Oxf), 2011.