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Mapping of the PDQ-39 to EQ-5D scores in patients with Parkinson’s disease

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Abstract

Purpose

The EuroQoL (EQ-5D) is ideal to compare quality of life across conditions. However, the Parkinson’s Disease Questionnaire (PDQ-39) is often the only quality-of-life instrument used in Parkinson’s disease research. We aimed to identify associations between PDQ-39 domains and EQ-5D domains, and compare different methods of developing a function to map the PDQ-39 to EQ-5D scores.

Methods

Adults with Parkinson’s disease self-completed both instruments. Ordinal regression identified associations between PDQ-39 domain scores and each EQ-5D domain. Modeling (n = 80) and validation sets (n = 16) were randomly generated. Overall performance of four methods of mapping the PDQ-39 to EQ-5D scores (using PDQ-39 domains and total score in ordinal and linear regression) was assessed with the validation set, followed by assessing the equivalence of observed and predicted EQ-5D scores on the full dataset controlling for sociodemographic factors.

Results

Different sets of PDQ-39 domains were associated with each EQ-5D domain. For example, PDQ-39 “Activities of Daily Living” and “Social Support” were associated with EQ-5D “Personal Care,” while PDQ-39 “Emotional Well-being” was associated with EQ-5D “Anxiety/Depression.” Over one-third (37.5 %) of predictions from ordinal regressions had an error <0.01 % (compared to 6.3 % for linear regressions). The EQ-5D scores predicted with ordinal regression using PDQ-39 domains were similar in distribution and association with sociodemographic factors to the observed EQ-5D scores.

Conclusions

Of the four methods tested, using PDQ-39 domains in ordinal regression was superior for mapping EQ-5D scores. The function reported here may prove particularly useful for cost-utility analyses comparing Parkinson’s disease with other conditions.

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Abbreviations

CLAD:

Censored least absolute deviations

DBS-STN:

Deep brain stimulation

EM:

Expectation–maximization

EQ-5D:

EuroQoL utility index

IQR:

Interquartile range

MAD:

Mean absolute deviation

MAR:

Missing at random

MCAR:

Missing completely at random

OLS:

Ordinary least squares

PDQ:

Parkinson’s Disease Questionnaire

QPP:

Queensland Parkinson’s disease Project

RMSE:

Root mean squared error

SPSS:

Statistical Package for the Social Sciences

UK:

United Kingdom

VAS:

Visual analogue scale

References

  1. Winter, Y., von Campenhausen, S., Gasser, J., Seppi, K., Reese, J. P., et al. (2010). Social and clinical determinants of quality of life in Parkinson’s disease in Austria: A cohort study. Journal of Neurology, 257, 638–645.

    Article  PubMed  Google Scholar 

  2. Rahman, S., Griffin, H. J., Quinn, N. P., & Jahanshahi, M. (2008). Quality of life in Parkinson’s disease: The relative importance of the symptoms. Movement Disorders, 23(10), 1428–1434.

    Article  PubMed  Google Scholar 

  3. Peto, V., Jenkinson, C., & Fitzpatrick, R. (1998). PDQ-39: A review of the development, validation and application of a Parkinson’s disease quality of life questionnaire and its associated measures. Journal of Neurology, 245(suppl 1), s10–s14.

    Article  PubMed  Google Scholar 

  4. Tickle-Degnen, L., Ellis, T., Saint-Hilaire, M. H., Thomas, C. A., & Wagenaar, R. C. (2010). Self-management rehabilitation and health-related quality of life in Parkinson’s disease: A randomized controlled trial. Movement Disorders, 25(2), 194–204.

    Article  PubMed  Google Scholar 

  5. Klepac, N., Hajnsek, S., & Trkulja, V. (2010). Impact of pre-morbid depression on health-related quality of life in non-demented Parkinson’s disease patients. Parkinsonism and Related Disorders, 16, 21–27.

    Article  PubMed  Google Scholar 

  6. Scalzo, P., Kummer, A., Cardoso, F., & Teixeira, A. L. (2009). Depressive symptoms and perception of quality of life in Parkinson’s disease. Arquivos De Neuro-Psiquiatria, 67(2-A), 203–208.

    Google Scholar 

  7. Schrag, A., Geser, F., Stampfer-Kountchev, M., Seppi, K., Sawires, M., et al. (2006). Health-related quality of life in multiple system atrophy. Movement Disorders, 21(6), 809–815.

    Article  PubMed  Google Scholar 

  8. Schrag, A., Selai, C., Jahanshahi, M., & Quinn, N. P. (2000). The EQ-5D—a generic quality of life measure – is a useful instrument to measure quality of life in patients with Parkinson’s disease. Journal of Neurology Neurosurgery and Psychiatry, 69, 67–73.

    Article  CAS  Google Scholar 

  9. Kristiansen, I. S., Bingefors, K., Nyholm, D., & Isacson, D. (2009). Short-term cost and health consequences of duodenal levodopa infusion in advanced Parkinson’s disease in Sweden: An exploratory study. Applied Health Economics and Health Policy, 7(3), 167–180.

    Article  PubMed  Google Scholar 

  10. Groenendaal, H., Tarrants, M. L., & Armand, C. (2010). Treatment of advanced Parkinson’s disease in the United States. Clinical Drug Intestig, 30(11), 789–798.

    Article  Google Scholar 

  11. Haycox, A., Armand, C., Murteira, S., Cochran, J., & Francois, C. (2009). Cost effectiveness of rasagiline and pramipexole as treatment strategies in early Parkinson’s disease in the UK setting. Drugs and Aging, 26(9), 791–801.

    Article  PubMed  Google Scholar 

  12. Valldeoriola, F., Morsi, O., Tolosa, E., Rumia, J., Marti, M. J., et al. (2007). Prospective comparative study on cost-effectiveness of subthalamic stimulation and best medical treatment in advanced Parkinson’s disease. Movement Disorders, 22(15), 2183–2191.

    Article  PubMed  Google Scholar 

  13. Winter, Y., von Campenhausen, S., Popov, G., Reese, J. P., Balzer-Geldsetzer, M., et al. (2010). Social and clnical determinants of quality of life in Parkinson’s disease in a Russian cohort study. Parkinsonism and Related Disorders, 16, 243–248.

    Article  PubMed  Google Scholar 

  14. Post, B., Muslimovic, D., van Geloven, N., Speelman, J. D., Schmand, B., et al. (2011). Progression and prognostic factors of motor impairment, disability and quality of life in newly diagnosed Parkinson’s disease. Movement Disorders, 26(3), 449–456.

    Article  PubMed  Google Scholar 

  15. Visser, M., Verbaan, D., van Rooden, S., Marinus, J., van Hilten, J., et al. (2009). A longitudinal evaluation of health-related quality of life of patients with Parkinson’s disease. Value in Health, 12(2), 392–396.

    Article  PubMed  Google Scholar 

  16. Hristova, D. R., Hristov, J. I., Mateva, N. G., & Papathanasiou, J. V. (2009). Quality of life in patients with Parkinson’s disease. Folia Medica, 51(4), 58–64.

    PubMed  Google Scholar 

  17. Bucks, R. S., Cruise, K. E., Skinner, T. C., Loftus, A. M., Barker, R. A., & Thomas, M. G. (2011). Coping processes and health-related quality of life in Parkinson’s disease. International Journal of Geriatric Psychiatry, 26, 247–255.

    Article  PubMed  CAS  Google Scholar 

  18. Cheung, Y. B., Tan, L. C. S., Lau, P. N., Au, W. L., & Luo, N. (2008). Mapping the eight-item Parkinson’s Disease Questionnaire (PDQ-8) to the EQ-5D utility index. Quality of Life Research, 17, 1173–1181.

    Article  PubMed  CAS  Google Scholar 

  19. Jenkinson, C., Fitzpatrick, R., & Peto, V. (2012). The Parkinson’s Disease Questionnaire: User Manual for the PDQ-39, PDQ-8 and the PDQ Summary Index. Oxford: University of Oxford Health Services Research Unit; 1998. © Copyright, Isis Innovation Limited 1993. All Rights Reserved. The authors, being Professor Crispin Jenkinson, Professor Ray Fitzpatrick and Ms Viv Peto, have asserted their moral rights.

  20. Cheung, K., Oemar, M., Oppe, M., Rabin, R. (2009). EQ-5D User Guide: Basic information on how to use EQ-5D Version 2.0. EuroQol Group.

  21. Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35, 1095–1108.

    Article  PubMed  CAS  Google Scholar 

  22. Jenkinson, C., Heffernan, C., Doll, H., & Fitzpatrick, R. (2006). The Parkinson’s Disease Questionnaire (PDQ-39): Evidence for a method of imputing missing data. Age and Ageing, 35, 497–502.

    Article  PubMed  Google Scholar 

  23. Ng, S. K., Krishnan, T., & McLachlan, G. J. (2004). The EM algorithm. In J. Gentle, W. Hardle, & Y. Mori (Eds.), Handbook of computational statistics (Vol. 1, pp. 137–168). New York: Springer.

    Google Scholar 

  24. Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data (2nd ed.). New York: Wiley.

    Google Scholar 

  25. Brant, R. (1990). Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics, 46, 1171–1178.

    Article  PubMed  CAS  Google Scholar 

  26. Xie, F., Pullenayegum, E. M., Li, S. C., Hopkins, R., Thumboo, J., & Lo, N. N. (2010). Use of a disease-specific instrument in economic evaluations: Mapping WOMAC onto the EQ-5D utility index. Value in Health, 13, 873–878.

    Article  PubMed  Google Scholar 

  27. Sullivan, P. W., & Ghushchyan, V. (2006). Preference-based EQ-5D index scores for chronic conditions in the United States. Medical Decision Making, 26, 410–420.

    Article  PubMed  Google Scholar 

  28. Lawrence, W. F., Jr, & Fleishman, J. A. (2004). Predicting EuroQoL EQ-5D preference scores from the SF-12 Health Survey in a nationally representative sample. Medical Decision Making, 24, 160–169.

    Article  PubMed  Google Scholar 

  29. Sullivan, P. W., & Ghushchyan, V. (2006). Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample. Medical Decision Making, 26, 401–409.

    Article  PubMed  Google Scholar 

  30. Luo, N., Johnson, J. A., Shaw, J. W., Feeny, D., & Coons, S. J. (2005). Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and health utilities index. Medical Care, 43, 1078–1086.

    Article  PubMed  Google Scholar 

  31. Pullenayegum, E. M., Tarride, J. E., Xie, F., Goeree, R., Gerstein, H. C., & O’Reilly, D. (2010). Analysis of health utility data when some subjects attain the upper bound of 1: Are Tobit and CLAD models appropriate? Value in Health, 13, 487–494.

    Article  PubMed  Google Scholar 

  32. Hagell, P., Whalley, D., McKenna, S. P., & Lindvall, O. (2003). Health status measurement in Parkinson’s disease: Validity of the PDQ-39 and Nottingham health profile. Movement Disorders, 18, 773–783.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. School of Medicine, Population and Social Health Research Group, GHI, Griffith University, Logan Campus, University Drive, Meadowbrook, QLD, 4131, Australia

    Megan K. Young

  2. School of Medicine, Griffith Health Institute, Griffith University, Logan Campus, University Drive, Meadowbrook, QLD, 4131, Australia

    Shu-Kay Ng & Paul A. Scuffham

  3. Eskitis Institute for Cell and Molecular Therapies, Griffith University, Nathan Campus, 170 Kessels Road, Nathan, QLD, 4122, Australia

    George Mellick

Authors
  1. Megan K. Young
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  2. Shu-Kay Ng
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  3. George Mellick
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Correspondence to Megan K. Young.

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Young, M.K., Ng, SK., Mellick, G. et al. Mapping of the PDQ-39 to EQ-5D scores in patients with Parkinson’s disease. Qual Life Res 22, 1065–1072 (2013). https://doi.org/10.1007/s11136-012-0231-6

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