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Should QALYs be programme-specific?

C Donaldson, A Atkinson, J Bond

    Journal of Health Economics
    |August 7, 1988
    PubMed
    Summary
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    Quality-adjusted life years (QALYs) are used for healthcare comparisons. However,

    Area of Science:

    • Health Economics
    • Quality of Life Research
    • Healthcare Evaluation

    Background:

    • Quality-adjusted life years (QALYs) are a key metric for comparing healthcare program efficiency.
    • QALY measurement approaches include both 'across-programme' and 'programme-specific' methods.
    • Evaluating long-term care for the elderly often employs programme-specific quality of life measures.

    Purpose of the Study:

    • To compare the sensitivity of 'across-programme' versus 'programme-specific' quality of life measures.
    • To assess the implications of measurement choice for evaluating long-term care interventions.
    • To identify potential biases in health service resource allocation due to insensitive outcome measures.

    Main Methods:

    • Utilized data from a longitudinal trial of long-term care for elderly individuals.

    Related Experiment Videos

  • Compared the responsiveness of 'across-programme' QALY measurement to changes in health states.
  • Contrasted findings with programme-specific quality of life measurement methods.

    • Main Results:

    • The 'across-programme' method of QALY measurement demonstrated lower sensitivity to health state changes in the elderly.
    • Programme-specific methods were more responsive to changes in health status within the context of long-term care.
    • This insensitivity is likely to affect evaluations of other chronic conditions, including mental handicap and childhood illnesses.

    Conclusions:

    • Programme-specific quality of life measures are more sensitive for evaluating long-term care outcomes than across-programme measures.
    • Further research is needed to compare these measurement approaches across various health conditions.
    • Insensitive 'across-programme' measures risk discriminating against certain societal groups in health resource allocation.