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Comparing the measurement properties of the ICECAP-A and ICECAP-O instruments in ages 50–70: a cross-sectional study on a representative sample of the Hungarian general population

Author

Listed:
  • Petra Baji

    (Corvinus University of Budapest)

  • Miklós Farkas

    (University of Bristol)

  • Ágota Dobos

    (Corvinus University of Budapest)

  • Zsombor Zrubka

    (Óbuda University
    Corvinus University of Budapest)

  • Levente Kovács

    (Óbuda University)

  • László Gulácsi

    (Óbuda University
    Corvinus University of Budapest)

  • Márta Péntek

    (Óbuda University)

Abstract

Objective The ICECAP-A and ICECAP-O were validated as capability wellbeing measures of adults aged 18 + and 65 + years, respectively. We aimed to compare their measurement properties in age group 50–70. Methods Data were derived from a cross-sectional survey among a sample representative for the adult Hungarian population. Respondents aged between 50 and 70 filled in both the ICECAP-A and ICECAP-O questionnaires. We assessed and compared feasibility, agreement, discriminatory power, convergent and content validity of the two instruments and explored the determinants of the differences between the two measures. Results 707 respondents (99.4%) provided full answers to both questionnaires (46.3% women, average age 60.1 years). The instruments showed similar construct and convergent validity and discriminatory power. Pearson-correlations between instrument items were strong (r > 0.5). ICECAP-A and ICECAP-O scores could be calculated from each other with a good confidence (R2 = 0.69 and 0.71). ICECAP-O scores (mean 0.87, SD = 0.12) were systematically higher than ICECAP-A scores (0.85, SD = 0.15) in most subgroups. The difference increased with the deterioration of capability and health, and with age. Regression results showed that employment and health status had larger marginal effect on the ICECAP-A than on the ICECAP-O scores, and these effects were larger than the effect of age on both measures. Conclusion Validity of both instruments was confirmed in the age groups 50–70. Given that employment and health status are important determinants of the differences between the two instruments besides age, the possibility of linking the choice between ICECAP-A and ICECAP-O to these factors should be investigated by further research.

Suggested Citation

  • Petra Baji & Miklós Farkas & Ágota Dobos & Zsombor Zrubka & Levente Kovács & László Gulácsi & Márta Péntek, 2021. "Comparing the measurement properties of the ICECAP-A and ICECAP-O instruments in ages 50–70: a cross-sectional study on a representative sample of the Hungarian general population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1453-1466, December.
    • Handle: RePEc:spr:eujhec:v:22:y:2021:i:9:d:10.1007_s10198-021-01325-w
    DOI: 10.1007/s10198-021-01325-w
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    References listed on IDEAS

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    1. Terry N. Flynn & Elisabeth Huynh & Tim J. Peters & Hareth Al‐Janabi & Sam Clemens & Alison Moody & Joanna Coast, 2015. "Scoring the Icecap‐a Capability Instrument. Estimation of a UK General Population Tariff," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 258-269, March.
    2. L. Couzner & J. Ratcliffe & L. Lester & T. Flynn & M. Crotty, 2013. "Measuring and valuing quality of life for public health research: application of the ICECAP-O capability index in the Australian general population," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(3), pages 367-376, June.
    3. Sebastian Himmler & Job van Exel & Werner Brouwer, 2020. "Happy with Your Capabilities? Valuing ICECAP-O and ICECAP-A States Based on Experienced Utility Using Subjective Well-Being Data," Medical Decision Making, , vol. 40(4), pages 498-510, May.
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    5. Leah Couzner & Maria Crotty & Richard Norman & Julie Ratcliffe, 2013. "A Comparison of the EQ-5D-3L and ICECAP-O in an Older Post-Acute Patient Population Relative to the General Population," Applied Health Economics and Health Policy, Springer, vol. 11(4), pages 415-425, August.
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    9. Ilias Goranitis & Joanna Coast & Ed Day & Alex Copello & Nick Freemantle & Emma Frew, 2017. "Maximizing Health or Sufficient Capability in Economic Evaluation? A Methodological Experiment of Treatment for Drug Addiction," Medical Decision Making, , vol. 37(5), pages 498-511, July.
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    More about this item

    Keywords

    Capability; ICECAP-A; ICECAP-O; Validity; EQ-5D-5L;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other

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