건강형평성측정도구 health inequality measures°•의_건강불평등... · 2015-10-02 ·...
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건강 형평성 측정도구
Health Inequality Measures
References
1. Harper S, Lynch J. Methods for Measuring Cancer Disparities: Using Data Relevant to Healthy People 2010 Cancer-Related Objectives. NCI Cancer Surveillance Monograph Series, Number 6. Bethesda, MD: National Cancer Institute, 2005. NIH Publication No. 05-5777.
2. Harper S, Lynch J. Measuring health inequalities. In: Oakes JM, Kaufman JS (eds). Methods in Social Epidemiology. John Wiley & Sons, Inc., 2006. pp.134-168.
3. Regidor E. Measures of health inequalities: part 1. J Epidemiol Community Health. 2004 Oct;58(10):858-61.
4. Regidor E. Measures of health inequalities: part 2. J Epidemiol Community Health.2004 Nov;58(11):900-3.
5. Anand S, Diderichsen F, Evans T, Shkolnikov VM, Wirth M. Measuring disparities in health: methods and indicators. In: Evans T, Whitehead M, Diderichsen F, Buyia A, Wirth M (eds). Challenging Inequities in Health. New York: Oxford University Press, 2001, pp.49-67.
6. Mackenbach JP, Kunst AE. Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997 Mar;44(6):757-71.
7. Wagstaff A, Paci P, van Doorslaer E. On the measurement of inequalities in health. Soc Sci Med. 1991;33(5):545-57.
상대 불평등과 절대 불평등은 각각 어떤
의미를 지니는가?
1600
1800
2000
2200
2400
1809
2334
서울시의 인구10만명당 성연령표준화 사망률(2000-2004년)
525
1600
1800
2000
2200
2400
서초
구강
남구
송파
구동
작구
양천
구서
대문
구영
등포
구도
봉구
광진
구강
동구
중구
용산
구종
로구
마포
구관
악구
구로
구강
서구
은평
구성
북구
성동
구노
원구
중랑
구금
천구
강북
구동
대문
구
1809
2334
서울시의 인구10만명당 성연령표준화 사망률(2000-2004년)
525
인구10만명당 525명의
사망자수 차이의 의미는?
525 (인구10만명당) * 36만명(강북구 인구)=1890명
1890명/5년=연간 378명
강남구에 비하여 강북구에서는
강북구 주민 378명을 가득 태운 점보여객기가
매년 추락하는 것과 같다.
만약 우리 나라 모든 지역주민들이 서초구의 사망률을 따른다면?
지난 5년간(2000-2004년까지) 우리 나라 총 사망자(1,239,200명)의31%인 384,152명을 살릴 수 있었다
다음은 절대적 건강 불평등 측정도구인가? 상대적건강 불평등 측정도구인가?
• SMR (standardized mortality ratio)• Adjusted mortality rate• Odds ratios• Relative index of inequality• Slope index of inequality
개별 측정도구의 소개
Classification of Measures of Health Inequality
• Harper and Lynch, 2006
• Measures of total inequality– Individual-mean differences– Inter-individual differences
• Measures of social group inequality
• Measures of average disproportionality
Measures of Social Group Inequality
• Pairwise comparisons– Risk/rate difference (RD), Prevalence difference (PD)– Relative risk/rate ratio (RR), Odds ratio (OR), Prevalence ratio (PR)
• Regression-based measures– Slope Index of Inequality (SII)– Relative Index of Inequality (RII)
• Population impact measures– Population Attributable Risk– Index of Disparity– Between-Group Variance
Regression-based Summary Measures
• SII, RII– 서열이있는사회경제적위치지표
– 모든집단정보를활용하여요약지표를산출
– 시간에따라사회집단별분포가다른경우유용
– 사회경제적위치에있어극단간의차이를의미
• SII
• RII
• Pamuk, 1988
Kunst-Mackenbach RII
•
• The Kunst-Mackenbach RII is more like a traditional relative risk measure in that it compares the health of the extremes of the social distribution, but it is estimated using the data on all social groups and is weighted to account for social-group sizes.
Age-adjusted Educational Rate Ratios for Mortality in Korean Women Aged 30-59
2000-20011990-1991
Education Pop. % RR (95% CI) Pop. % RR (95% CI)
No education 8.7 2.8 (2.0-3.8) 3.2 3.2 (2.5-4.0)
Elementary 31.4 2.8 (2.1-3.7) 16.1 2.8 (2.3-3.4)
Middle or High 52.1 1.3 (1.0-1.8) 61.9 1.6 (1.3-1.9)
College+ 7.9 1.0 18.7 1.0
인구 구조의 변화를 감안한건강 불평등 지표(예: relative index of inequalities)의계산 원리
Relative Position Indicator in the Process of RII/SII Calculation
RII와 SII의용도
• 서열이있는사회경제적위치지표에서사용
• 시계열적인인구구성변화를고려하여건강수준에서의
상대불평등크기를비교하기위하여사용
• 건강불평등양상을요약적으로표현하기위하여사용
Use of RII and SII in documenting mortality inequalities
Khang et al. Soc Sci Med 2009
Changes in SMR (Standardized Mortality Rates) of Korean Aged 25-59 by Education
Elementary- Middle or High College+
No.
of d
eath
/ 10
0,00
0
0
200
400
600
800
1000
1200
1400
Males,1990-1991
Males,1995-1996
Males,2000-2001
Females,1990-1991
Females,1995-1996
Females,2000-2001
SMR=585
SMR=495
SMR=391
SMR=225
SMR=180
SMR=143
RII=7.31 RII=7.87 RII=7.62 RII=4.69 RII=4.00 RII=3.41
Khang et al. J EpidemiolCommunity Health 2004
Changes in Relative Index of Inequality for Suicide Mortality according to an Area SEP indicator
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1995-1997 1998-1999 2000-2001 1995-1997 1998-1999 2000-2001
P=0.02 P=0.01
남성 여성
강영호 등. 예방의학회지 2005
Prevalence ratio (PR), and relative index of inequality (RII) of current cigarette smoking by calendar year and socioeconomic position indicators among men aged 25-64
1995 1999 2003 2006 P for trend
Men
Education
RII (95% CI) 1.25 (1.22-1.28) 1.31 (1.27-1.35) 1.51 (1.45-1.57) 1.57 (1.50-1.63) <0.0001
Occupational class
PR (95% CI) of manual vs. non-manual 1.15 (1.13-1.17) 1.17 (1.15-1.20) 1.23 (1.20-1.26) 1.27 (1.23-1.30) <0.0001
PR (95% CI) of others vs. non-manual
1.03 (1.00-1.06) 1.06 (1.03-1.09) 1.11 (1.07-1.15) 1.13 (1.09-1.17) <0.0001
Employment status
PR (95% CI) of non-standard vs.standard 1.12 (1.10-1.14) 1.13 (1.11-1.16) 1.26 (1.23-1.30) 1.32 (1.28-1.36) <0.0001
PR (95% CI) of others vs. standard 1.06 (1.04-1.07) 1.06 (1.04-1.08) 1.14 (1.11-1.17) 1.16 (1.13-1.19) <0.0001
Income quartile
RII (95% CI) NA 1.09 (1.06-1.13) NA 1.27 (1.22-1.32) <0.0001
p<0.001 P=0.214
P=0.095P=0.006
p<0.001 P=0.023
p<0.001
p<0.001 P=0.456
P=0.307
Khang et al. Nicotine & Tobacco Res 2009
Use of RII in presenting changes in explanatory ability
Khang et al. Soc Sci Med 2009
Relative indices of inequalities (RII values), and slope indices of inequalities (SII values), among South Korean men aged 35-
64 years (N=692,471)
Jung-Choi et al. J Epidemiol Community
Health 2011
Population Attributable Risk (PAR)
• Measures of the population burden– Associated with differential health between groups
Index of Disparities
• 기준값과개별군의 값의차이를요약지표로표현
• 기준군의 rate에에대한분율로표현
Between-Group Variance
• Squared deviations from a population average
Measures of Average Disproportionality
• Entropy indices– Theil index– Mean log deviation– Atkinson’s measure– Gini coefficient– Concentration index
• Combining health disparity and average health– Health Achievement Index (HAI)
Theil Index
• Summarize disproportionality between shares of health and shares of population
• Continuous outcome variables
pi = proportion of the population in group i
ri = ratio of the prevalence or rate of health in group I relative to the total rate, ri = yi/u where yi is the rate of health in group i, and u is the total population rate
Gini coefficient
• Measure of association between– Each social group’s share of population– Its share of health
• Gini coefficient is the ratio of– Area between
• Line of equality and• Lorenz curve
– To the total area of the triangle beneath the line
Concentration index
• Derived from a concentration curve– Population is ordered first by social-group status
• Y-axis– Cumulative share of ill health: Relative CI– Cumulative amount of ill health: Absolute CI
• Range of RCI– Continuous: -1 ~ +1– Non-continuous: μ – 1 + (1/n) ~ 1 – μ + (1/n)
측정 도구의 선정
• 건강형평성의정의에근거하여선택
• 자료의성격(ordering 여부등)에의하여선택
• 절대지표와상대지표
• 측정도구의제안– Graph (trends in adjusted rate)– 짝비교의 경우: RR (risk ratio) + RD (risk difference)– 서열이 있는 경우: RII (relative index of inequality)+SII (slope index of
inequality), ACI (absolute concentration index)+RCI (relative concentration index)
– 서열이 없는 경우: DGV (between group variance) + Theil index/Mean log deviation
Odds Ratio vs Prevalence Ratio
Khang YH, Yun SC, Lynch JW. Monitoring trends in socioeconomic
health inequalities: It matters how you measure. BMC Public Health 2008
Odds vs. Probability
0
1
2
3
4
5
0 0.2 0.4 0.6 0.8
Probability
Odd
s
odds probability
(a) Relationship between probability and odds.
(b-d) Odds ratio (OR) and prevalence ratio (PR) according to prevalence of low social class when prevalence of high social class was fixed to 0.1 (b), 0.3 (c), and 0.5 (d).
Hypothetical example* of trends of odds ratio and prevalence ratio by social class (low versus high class)
Time 1 Time 2
Low class High class Low class High class
Outcome prevalence (P) 0.75 0.60 0.60 0.43
Odds, P/(1-P) 3.00 1.50 1.50 0.75
OR † 2.00 1.99
PR‡ 1.25 1.40
OR = odds ratio; PR = prevalence ratio.*This example can be replicated when there is no other confounding variable.†OR (odds ratio) was calculated by Plow class/(1–Plow class) ÷ Phigh class/(1–Phigh class). ‡ PR (prevalence ratio) was calculated by Plow class ÷ Phigh class.
PR: 1.11 = 91.1%/81.9% in 1984
PR: 1.84 = 51.1%/27.7% in 1993 Bartley et al. J Epidemiol Community Health 2000
PR: 1.88 = 48.8%/25.9% in the 1980s
PR: 1.91 = 45.7%/23.9% in the 1990s
Kunst et al. Int J Epidemiol 2005
Khang et al. BMC Public Health 2008
Khang et al. BMC Public Health 2008