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Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets

Author

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  • Admassu N. Lamu

    (University of Bergen)

Abstract

Purpose Preference-based measures are essential for producing quality-adjusted life years (QALYs) that are widely used for economic evaluations. In the absence of such measures, mapping algorithms can be applied to estimate utilities from disease-specific measures. This paper aims to develop mapping algorithms between the MacNew Heart Disease Quality of Life Questionnaire (MacNew) instrument and the English and the US-based EQ-5D-5L value sets. Methods Individuals with heart disease were recruited from six countries: Australia, Canada, Germany, Norway, UK and the US in 2011/12. Both parametric and non-parametric statistical techniques were applied to estimate mapping algorithms that predict utilities for MacNew scores from EQ-5D-5L value sets. The optimal algorithm for each country-specific value set was primarily selected based on root mean square error (RMSE), mean absolute error (MAE), concordance correlation coefficient (CCC), and r-squared. Leave-one-out cross-validation was conducted to test the generalizability of each model. Results For both the English and the US value sets, the one-inflated beta regression model consistently performed best in terms of all criteria. Similar results were observed for the cross-validation results. The preferred model explained 59 and 60% for the English and the US value set, respectively. Linear equating provided predicted values that were equivalent to observed values. Conclusions The preferred mapping function enables to predict utilities for MacNew data from the EQ-5D-5L value sets recently developed in England and the US with better accuracy. This allows studies, which have included the MacNew to be used in cost-utility analyses and thus, the comparison of services with interventions across the health system.

Suggested Citation

  • Admassu N. Lamu, 2020. "Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 903-915, August.
  • Handle: RePEc:spr:eujhec:v:21:y:2020:i:6:d:10.1007_s10198-020-01183-y
    DOI: 10.1007/s10198-020-01183-y
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    References listed on IDEAS

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    1. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    2. Ron D. Hays & Dennis A. Revicki & David Feeny & Peter Fayers & Karen L. Spritzer & David Cella, 2016. "Using Linear Equating to Map PROMIS® Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health Utilities Index Mark 3," PharmacoEconomics, Springer, vol. 34(10), pages 1015-1022, October.
    3. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    4. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    5. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    6. Stavros Petrou & Oliver Rivero-Arias & Helen Dakin & Louise Longworth & Mark Oppe & Robert Froud & Alastair Gray, 2015. "Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement," Applied Health Economics and Health Policy, Springer, vol. 13(5), pages 437-443, October.
    7. Huiman X. Barnhart & Michael Haber & Jingli Song, 2002. "Overall Concordance Correlation Coefficient for Evaluating Agreement Among Multiple Observers," Biometrics, The International Biometric Society, vol. 58(4), pages 1020-1027, December.
    8. Zhang, Yongli & Yang, Yuhong, 2015. "Cross-validation for selecting a model selection procedure," Journal of Econometrics, Elsevier, vol. 187(1), pages 95-112.
    9. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    10. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
    11. Nicolas R. Thompson & Brittany R. Lapin & Irene L. Katzan, 2017. "Mapping PROMIS Global Health Items to EuroQol (EQ-5D) Utility Scores Using Linear and Equipercentile Equating," PharmacoEconomics, Springer, vol. 35(11), pages 1167-1176, November.
    12. Jan Abel Olsen & Admassu N. Lamu & John Cairns, 2018. "In search of a common currency: A comparison of seven EQ‐5D‐5L value sets," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 39-49, January.
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    More about this item

    Keywords

    MacNew; EQ-5D-5L; Economic evaluation; Mapping; QALY; Utility; Heart disease;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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