CHOosing Interventions that are Cost Effective (WHO-CHOICE)

Health State Valuations

Generalised cost-effectiveness analysis requires health state valuations (formerly referred to as disability weights) to assign weights to years spent in different states of health. This allows years of life lost due to premature mortality to be combined with years spent in health states worse than perfect health. A distinction can be made between health state valuations, the purpose of which is to assign a single value to time spent in different health states, and health status measurement, which seeks to describe the current health of individuals in terms of multiple dimensions. Health state valuations for particular disease conditions included in these analyses are described under 'Calculation of the effectiveness of health interventions' (follow Results, Effectiveness). The table below provides health state valuations (on a scale 0 to 1, where 0 is equivalent to death, and 1 is equivalent to full health) for the general population who are susceptible to a particular disease or risk factor (by age, sex and WHO epidemiological sub-region).

Health state valuations for specific diseases can be found in the "Results of Cost-Effectiveness Analyses" section.

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    Details on methods used:
    Mathers CD, Murray CJL, Lopez AD, Salomon JA, Sadana R, Tandon A, Ustün TB, Chatterji S (2000).
    Estimates of healthy life expectancy for 191 countries in the year 2000: Methods and Results
    GPE Discussion Paper No. 38, Geneva, WHO

Health state valuations for the susceptible population (by age, sex and WHO epidemiological sub-region)

(HSV of 1.00 = Full health; HSV of 0.00 = Death)
Region Sub-Region Mortality Sex Age (years)
Child Adult 0 5 15 30 45 60 70 80+
Africa Afr D High High Male 0.921 0.952 0.916 0.871 0.784 0.669 0.593 0.534
Female 0.926 0.958 0.915 0.878 0.808 0.679 0.595 0.520
Afr E High Very high Male 0.924 0.954 0.911 0.865 0.798 0.698 0.627 0.552
Female 0.928 0.960 0.908 0.872 0.810 0.693 0.622 0.551
The Americas Amr A Very low Very low Male 0.968 0.980 0.944 0.929 0.890 0.786 0.685 0.607
Female 0.971 0.982 0.942 0.930 0.891 0.808 0.732 0.626
Amr B Low Low Male 0.941 0.963 0.929 0.902 0.833 0.712 0.625 0.541
female 0.946 0.965 0.934 0.914 0.863 0.762 0.666 0.550
Amr D High High Male 0.941 0.961 0.932 0.899 0.834 0.732 0.644 0.572
Female 0.941 0.963 0.926 0.900 0.848 0.762 0.681 0.584
Eastern Mediterranean Emr B Low Low Male 0.940 0.970 0.942 0.904 0.819 0.662 0.596 0.552
Female 0.941 0.970 0.938 0.904 0.825 0.681 0.609 0.546
Emr D High High Male 0.918 0.962 0.936 0.899 0.808 0.678 0.615 0.558
Female 0.918 0.964 0.926 0.890 0.807 0.681 0.612 0.534
Europe Eur A Very low Very low Male 0.970 0.983 0.957 0.941 0.903 0.826 0.731 0.642
Female 0.972 0.984 0.952 0.934 0.901 0.838 0.756 0.635
Eur B Low Low Male 0.946 0.973 0.950 0.924 0.867 0.772 0.685 0.605
Female 0.925 0.964 0.930 0.922 0.868 0.783 0.708 0.601
Eur C Low Low Male 0.946 0.971 0.933 0.905 0.855 0.772 0.692 0.608
Female 0.955 0.978 0.950 0.920 0.878 0.805 0.729 0.633
South East Asia Sear B Low Low Male 0.941 0.973 0.949 0.924 0.833 0.674 0.565 0.481
Female 0.941 0.973 0.938 0.918 0.837 0.677 0.550 0.444
Sear D High High Male 0.928 0.968 0.938 0.908 0.827 0.711 0.648 0.581
Female 0.928 0.968 0.925 0.896 0.816 0.698 0.625 0.538
Western Pacific Wpr A Very low Very low Male 0.969 0.981 0.967 0.954 0.917 0.830 0.735 0.632
Female 0.972 0.982 0.964 0.949 0.916 0.857 0.777 0.636
Wpr B Low Low Male 0.950 0.978 0.954 0.933 0.869 0.764 0.690 0.626
Female 0.951 0.977 0.956 0.934 0.878 0.780 0.693 0.617
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