Skip to main content

Advertisement

SpringerLink
Log in

Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

This study aimed to develop and evaluate different families of applicable models available for utility mapping between World Health Organization Quality of Life for HIV-abbreviated version (WHOQOL-HIV Bref) and EQ-5D-3L and to propose an optimised algorithm to estimate health utilities of people living with HIV.

Methods

Estimation dataset was collected between July 2014 and September 2016 in a cross-sectional study including 1526 people living with HIV/Aids (PLWH) under care at the Instituto Nacional de Infectologia Evandro Chagas—FIOCRUZ, in Brazil. Data of WHOQOL-HIV Bref and EQ-5D-3L questionnaires were collected. Fisher’s exact tests were used for testing WHOQOL-HIV Bref response frequencies among groups of responses to each of the five EQ-5D-3L domains. Multiple correspondence analyses (MCA) were used to inspect the relationships between both instrument responses. Different families of applicable models available for utility mapping between WHOQOL-HIV Bref and EQ-5D-3L were adjusted for the prediction of disutility.

Results

Candidate models’ performances using mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE) were similarly good, which was evidenced by the overlapping of its 95% confidence intervals of the mean tenfold cross-validation or estimated generalisation errors. However, the Hurdle Logistic-Log-Normal model was better on average according to generalisation errors both in the prediction of Brazilian utility values (MAE = 0.1037, MSE = 0.0178, and RMSE = 0.1332) and for those of the UK (MAE = 0.1476, MSE = 0.0443, and RMSE = 0.2099).

Conclusions

Mapping EQ-5D-3L responses or deriving health utilities directly from WHOQOL-HIV Bref responses can be a valid alternative for settings with no preference-based health utility data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Gueler, A., Moser, A., Calmy, A., Gunthard, H. F., Bernasconi, E., Furrer, H., et al. (2017). Life expectancy in HIV-positive persons in Switzerland: Matched comparison with general population. Aids, 31(3), 427–436.

    PubMed  PubMed Central  Google Scholar 

  2. Engelhard, E. A. N., Smit, C., van Dijk, P. R., Kuijper, T. M., Wermeling, P. R., Weel, A. E., et al. (2018). Health-related quality of life of people with HIV: An assessment of patient related factors and comparison with other chronic diseases. Aids, 32(1), 103–112.

    PubMed  Google Scholar 

  3. Parsons, T. D., Braaten, A. J., Hall, C. D., & Robertson, K. R. (2006). Better quality of life with neuropsychological improvement on HAART. Health and Quality of Life Outcomes, 4, 11.

    PubMed  PubMed Central  Google Scholar 

  4. Dessie, Z. G., Zewotir, T., Mwambi, H., & North, D. (2020). Modelling of viral load dynamics and CD4 cell count progression in an antiretroviral naive cohort: Using a joint linear mixed and multistate Markov model. BMC Infectious Diseases, 20(1), 246.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Maheswaran, H., Petrou, S., Cohen, D., MacPherson, P., Kumwenda, F., Lalloo, D. G., et al. (2018). Economic costs and health-related quality of life outcomes of hospitalised patients with high HIV prevalence: A prospective hospital cohort study in Malawi. PLoS ONE, 13(3), e0192991.

    PubMed  PubMed Central  Google Scholar 

  6. Poudel, A. N., Newlands, D., & Simkhada, P. (2017). The economic burden of HIV/AIDS on individuals and households in Nepal: A quantitative study. BMC Health Services Research, 17(1), 76.

    PubMed  PubMed Central  Google Scholar 

  7. Benzaken, A. S., Pereira, G. F. M., Costa, L., Tanuri, A., Santos, A. F., & Soares, M. A. (2019). Antiretroviral treatment, government policy and economy of HIV/AIDS in Brazil: Is it time for HIV cure in the country? AIDS Research and Therapy, 16(1), 19.

    PubMed  PubMed Central  Google Scholar 

  8. Cooper, V., Clatworthy, J., Harding, R., & Whetham, J. (2017). Measuring quality of life among people living with HIV: A systematic review of reviews. Health and Quality of Life Outcomes, 15(1), 220.

    PubMed  PubMed Central  Google Scholar 

  9. Dakin, H., Abel, L., Burns, R., & Yang, Y. (2018). Review and critical appraisal of studies mapping from quality of life or clinical measures to EQ-5D: an online database and application of the MAPS statement. Health and Quality of Life Outcomes, 16(1), 31.

    PubMed  PubMed Central  Google Scholar 

  10. EuroQol., (1990). EuroQol–a new facility for the measurement of health-related quality of life. Health Policy, 16(3), 199–208.

    Google Scholar 

  11. O'Connell, K. A., & Skevington, S. M. (2012). An international quality of life instrument to assess wellbeing in adults who are HIV-positive: A short form of the WHOQOL-HIV (31 items). AIDS and Behavior, 16(2), 452–460.

    PubMed  Google Scholar 

  12. Shi, Y., Thompson, J., Walker, A. S., Paton, N. I., & Cheung, Y. B. (2019). Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index. Health and Quality of Life Outcomes, 17(1), 83.

    PubMed  PubMed Central  Google Scholar 

  13. Joyce, V. R., Sun, H., Barnett, P. G., Bansback, N., Griffin, S. C., Bayoumi, A. M., et al. (2017). Mapping MOS-HIV to HUI3 and EQ-5D-3L in Patients With HIV. MDM Policy & Practice, 2(2), 2381468317716440.

    Google Scholar 

  14. Ali, F. M., Kay, R., Finlay, A. Y., Piguet, V., Kupfer, J., Dalgard, F., et al. (2017). Mapping of the DLQI scores to EQ-5D utility values using ordinal logistic regression. Quality of Life Research, 26(11), 3025–3034.

    PubMed  PubMed Central  Google Scholar 

  15. Collado-Mateo, D., Chen, G., Garcia-Gordillo, M. A., Iezzi, A., Adsuar, J. C., Olivares, P. R., et al. (2017). Fibromyalgia and quality of life: Mapping the revised fibromyalgia impact questionnaire to the preference-based instruments. Health and Quality of Life Outcomes, 15(1), 114.

    PubMed  PubMed Central  Google Scholar 

  16. Mpundu-Kaambwa, C., Chen, G., Russo, R., Stevens, K., Petersen, K. D., & Ratcliffe, J. (2017). Mapping CHU9D Utility Scores from the PedsQLTM 4 0 SF-15. Pharmacoeconomics, 35(4), 453–467.

    PubMed  Google Scholar 

  17. Wong, C. K. H., Cheung, P. W. H., Samartzis, D., Luk, K. D., Cheung, K. M. C., Lam, C. L. K., et al. (2017). Mapping the SRS-22r questionnaire onto the EQ-5D-5L utility score in patients with adolescent idiopathic scoliosis. PLoS ONE, 12(4), e0175847.

    PubMed  PubMed Central  Google Scholar 

  18. Round, J., & Hawton, A. (2017). Statistical alchemy: Conceptual validity and mapping to generate health state utility values. PharmacoEconomics - Open, 1(4), 233–239.

    PubMed  PubMed Central  Google Scholar 

  19. NICE. (2013). Guide to the methods of technology appraisal 2013. Manchester: National Institute for Health and Care Excellence.

    Google Scholar 

  20. Petrou, S., Rivero-Arias, O., Dakin, H., Longworth, L., Oppe, M., Froud, R., et al. (2015). The MAPS reporting statement for studies mapping onto generic preference-based outcome measures: Explanation and elaboration. Pharmacoeconomics, 33(10), 993–1011.

    PubMed  Google Scholar 

  21. Petrou, S., Rivero-Arias, O., Dakin, H., Longworth, L., Oppe, M., Froud, R., et al. (2016). Preferred reporting items for studies mapping onto preference-based outcome measures: The MAPS statement. Quality of Life Research, 25(2), 275–281.

    PubMed  Google Scholar 

  22. Rencz, F., Gulacsi, L., Drummond, M., Golicki, D., Prevolnik Rupel, V., Simon, J., et al. (2016). EQ-5D in central and Eastern Europe: 2000–2015. Quality of Life Research, 25(11), 2693–2710.

    PubMed  Google Scholar 

  23. Sassi, F. (2006). Calculating QALYs, comparing QALY and DALY calculations. Health Policy and Planning, 21(5), 402–408.

    PubMed  Google Scholar 

  24. Feng, Y., Parkin, D., & Devlin, N. J. (2014). Assessing the performance of the EQ-VAS in the NHS PROMs programme. Quality of Life Research, 23(3), 977–989.

    PubMed  Google Scholar 

  25. Castro, R., De Boni, R. B., Luz, P. M., Velasque, L., Lopes, L. V., Medina-Lara, A., et al. (2019). Health-related quality of life assessment among people living with HIV in Rio de Janeiro, Brazil: A cross-sectional study. Quality of Life Research, 28(4), 1035–1045.

    PubMed  Google Scholar 

  26. Santos, M., Cintra, M. A., Monteiro, A. L., Santos, B., Gusmao-Filho, F., Andrade, M. V., et al. (2016). Brazilian valuation of EQ-5D-3L health states: Results from a Saturation Study. Medical Decision Making, 36(2), 253–263.

    PubMed  Google Scholar 

  27. R CoreTeam. (2018). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.

    Google Scholar 

  28. Lê, S., Josse, J., & Husson, F. (2008). FactoMineR: An R package for multivariate analysis. Journal of Statistical Software, 25(1), 18.

    Google Scholar 

  29. Dunn, P. K., & Smyth, G. K. (2005). Series evaluation of Tweedie exponential dispersion model densities. Statistics and Computing, 15(4), 267–280.

    Google Scholar 

  30. Dunn, P. K., & Smyth, G. K. (2008). Evaluation of Tweedie exponential dispersion model densities by Fourier inversion. Statistics and Computing, 18(1), 73–86.

    Google Scholar 

  31. Therneau, T. M. G., & P. M., (2000). Modeling survival data: Extending the cox model. New York: Springer.

    Google Scholar 

  32. Crott, R. (2018). Direct mapping of the QLQ-C30 to EQ-5D preferences: A comparison of regression methods. PharmacoEconomics Open, 2(2), 165–177.

    PubMed  Google Scholar 

  33. Wee, H. L., Yeo, K. K., Chong, K. J., Khoo, E. Y. H., & Cheung, Y. B. (2018). Mean rank, equipercentile, and regression mapping of World Health Organization quality of life brief (WHOQOL-BREF) to EuroQoL 5 dimensions 5 levels (EQ-5D-5L) Utilities. Medical Decision Making, 38(3), 319–333.

    PubMed  Google Scholar 

  34. Hua, A. Y., Westin, O., Hamrin Senorski, E., Svantesson, E., Grassi, A., Zaffagnini, S., et al. (2018). Mapping functions in health-related quality of life: mapping from the Achilles Tendon Rupture Score to the EQ-5D. Knee Surgery, Sports Traumatology, Arthroscopy, 26(10), 3083–3088.

    PubMed  PubMed Central  Google Scholar 

  35. Maertens de Noordhout, C., Devleesschauwer, B., Gielens, L., Plasmans, M. H. D., Haagsma, J. A., & Speybroeck, N. (2017). Mapping EQ-5D utilities to GBD 2010 and GBD 2013 disability weights: Results of two pilot studies in Belgium. Arch Public Health, 75, 6.

    CAS  PubMed  PubMed Central  Google Scholar 

  36. Gray, A. M., Rivero-Arias, O., & Clarke, P. M. (2006). Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Medical Decision Making, 26(1), 18–29.

    PubMed  Google Scholar 

  37. Dakin, H., Gray, A., & Murray, D. (2013). Mapping analyses to estimate EQ-5D utilities and responses based on Oxford Knee Score. Quality of Life Research, 22(3), 683–694.

    PubMed  Google Scholar 

  38. Mukuria, C., Rowen, D., Harnan, S., Rawdin, A., Wong, R., Ara, R., et al. (2019). An updated systematic review of studies mapping (or cross-walking) measures of health-related quality of life to generic preference-based measures to generate utility values. Applied Health Economics and Health Policy, 17(3), 295–313.

    PubMed  Google Scholar 

  39. Kiadaliri, A. A., & Englund, M. (2016). Assessing the external validity of algorithms to estimate EQ-5D-3L from the WOMAC. Health and Quality of Life Outcomes, 14(1), 141.

    PubMed  PubMed Central  Google Scholar 

  40. Kent, S., Gray, A., Schlackow, I., Jenkinson, C., & McIntosh, E. (2015). Mapping from the Parkinson's Disease Questionnaire PDQ-39 to the Generic EuroQol EQ-5D-3L: The value of mixture models. Medical Decision Making, 35(7), 902–911.

    PubMed  Google Scholar 

  41. Gabbe, B. J., McDermott, E., Simpson, P. M., Derrett, S., Ameratunga, S., Polinder, S., et al. (2015). Level of agreement between patient-reported EQ-5D responses and EQ-5D responses mapped from the SF-12 in an injury population. Population Health Metrics, 13, 14.

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This study was funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)—Grant Numbers: 476024/2013-7, 476333/2013-0; and Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), Newton Fund RCUK-CONFAP Research Partnerships call, Grant Number: E-26/170.021/2015. These funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

  1. Fundação Oswaldo Cruz, FIOCRUZ, Escola Nacional de Saúde Pública Sergio Arouca, Rua Leopoldo Bulhões, 1480, Manguinhos, Rio de Janeiro, RJ, ZIP 21041-210, Brazil

    Rodolfo Castro

  2. Universidade Federal do Estado do Rio de Janeiro, UNIRIO, Instituto de Saúde Coletiva, Rio de Janeiro, RJ, Brazil

    Rodolfo Castro

  3. Fundação Oswaldo Cruz, FIOCRUZ, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, RJ, Brazil

    Raquel B. De Boni, Hugo Perazzo, Beatriz Grinsztejn, Valdiléa G. Veloso & Marcelo Ribeiro-Alves

Authors
  1. Rodolfo Castro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Raquel B. De Boni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hugo Perazzo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Beatriz Grinsztejn
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Valdiléa G. Veloso
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Marcelo Ribeiro-Alves
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Study conception and design: RC and MRA; acquisition of data: RC, RBD, BG, and VGV; Data analysis: MRA; Interpretation of data: MRA, RC, RBD, and HP; drafting of manuscript: RC and MRA. All authors have participated in revising the manuscript critically and gave their final approval of the version submitted.

Corresponding author

Correspondence to Rodolfo Castro.

Ethics declarations

Conflict of interest

None of the authors have any conflict of interest to disclose.

Ethical approval

The study was approved by the ethics committee of INI/FIOCRUZ.

Informed consent

Informed consent was obtained from all participants in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

11136_2020_2534_MOESM1_ESM.pdf

Electronic supplementary material 1 (PDF 206 kb)—Online Resource 1. Electronic supplementary material 1. Descriptive analysis of WHOQOL-HIV Bref by three levels of EQ-5D-3L health utilities using Brazilian value sets (determined by percentile 33 and 66% cuts) for 1,526 people living with HIV in Brazil. (Electronic supplementary material 1.pdf)

11136_2020_2534_MOESM2_ESM.pdf

Electronic supplementary material 2 (PDF 206 kb)—Online Resource 2. Electronic supplementary material 2. Descriptive analysis of WHOQOL-HIV Bref by three levels of EQ-5D-3L health utilities using UK value sets (determined by percentile 33 and 66% cuts) for 1,526 people living with HIV in Brazil. (Electronic supplementary material 2.pdf)

11136_2020_2534_MOESM3_ESM.7z

Electronic supplementary material 3 (7Z 28724 kb)—Online Resource 3. Electronic supplementary material 3. Algorithms using Brazilian value sets. (compressed file including instructions named as "Mapping Instructions.docx") (Electronic Supplementary Material 3 - Algorithms BR.7z)

11136_2020_2534_MOESM4_ESM.7z

Electronic supplementary material 4 (7Z 28723 kb)—Online Resource 4. Electronic supplementary material 4. Algorithms using UK value sets. (compressed file including instructions named as "Mapping Instructions.docx") (Electronic Supplementary Material 4 - Algorithms UK.7z)

11136_2020_2534_MOESM5_ESM.xlsx

Electronic supplementary material 5 (XLSX 153 kb)—Online Resource 5. Electronic supplementary material 5. Spreadsheet with model parameters (betas) of each model using Brazilian value sets allowing authors that use other software than R to predict the EQ-5D-3L utility from WHOQOL-HIV Bref results. (Electronic supplementary material 5 - Table with Betas BR.xlsx)

11136_2020_2534_MOESM6_ESM.xlsx

Electronic supplementary material 6 (XLSX 139 kb)—Online Resource 6. Electronic supplementary material 6. Spreadsheet with model parameters (betas) of each model using UK value sets allowing authors that use other software than R to predict the EQ-5D-3L utility from WHOQOL-HIV Bref results. (Electronic supplementary material 6 - Table with Betas UK.xlsx)

11136_2020_2534_MOESM7_ESM.xlsx

Electronic supplementary material 7 (XLSX 17 kb)—Online Resource 7. Electronic supplementary material 7. Spreadsheet with estimates, standard errors and p-values, showing variables of the two scales mapping into each other (complete list of significant mappings and β coefficients) (Electronic supplementary material 7.xlsx)

11136_2020_2534_MOESM8_ESM.xlsx

Electronic supplementary material 8 (XLSX 28 kb)—Online Resource 8. Electronic Supplementary Material 8. Spreadsheets with contingency tables for each dimension/response pair between the EQ-5D-3L/WHOQOL-HIV-Bref, where we highlighted in bold the response mappings of interest. (Electronic Supplementary Material 8.xlsx)

11136_2020_2534_MOESM9_ESM.docx

Electronic supplementary material 9 (DOCX 21 kb)—Online Resource 9. Electronic Supplementary Material 9. MAPS checklist of items to include when reporting a mapping study. (Electronic supplemental material 9 - MAPS Checklist.docx)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Castro, R., De Boni, R.B., Perazzo, H. et al. Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study. Qual Life Res 29, 2497–2508 (2020). https://doi.org/10.1007/s11136-020-02534-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-020-02534-1

Keywords

Search

Navigation