Abstract
Background
Disease-specific patient-reported outcome (PRO) measures are designed to be highly relevant to one disease. It is widely believed that comparisons of outcomes between patients with different diseases are only possible using generic measures. The present study employs a novel method of using Rasch analysis to co-calibrate scores from different disease-specific PRO measures, allowing scores to be compared across diseases.
Methods
Psoriasis patients (n = 146, mean age = 44.4, males = 50 %) completed the Psoriasis Quality of Life scale (PSORIQoL) and atopic dermatitis patients (n = 146, mean age = 45.5, males = 50 %) the Quality of Life in Atopic Dermatitis scale (QoLIAD). Both measures employ the needs-based model of QoL, and they share five common items—providing a link between assessments. The groups were analysed separately, and then combined to test fit to the Rasch model.
Results
Both scales showed good fit to the Rasch model after minor adjustments (PSORIQoL: χ 2 p = 0.25; QoLIAD: χ 2 p = 0.51). For the combined dataset, one common item showing differential item functioning by disease was removed and fit to the Rasch model was achieved (χ 2 p = 0.08). The co-calibrated scale successfully distinguished between perceived severity groups (p < 0.001).
Conclusions
It is possible to co-calibrate scores on the PSORIQoL and QoLIAD. This is one of the first studies in health research to demonstrate how Rasch analysis can be used to make comparisons across diseases using different disease-specific measures. Such an approach maintains the greater relevance and, consequently, accuracy associated with disease-specific measurement.
Similar content being viewed by others
References
Otuki, M. F., Reis, R. C., Cabrini, D., Prudente, A. S., Horinouchi, C. D., & Correr, C. J. (2011). Patient-reported outcomes in psoriasis research and practice. British Journal of Dermatology, 165(6), 1361–1362.
Rehal, B., & Armstrong, A. W. (2011). Health outcome measures in atopic dermatitis: a systematic review of trends in disease severity and quality-of-life instruments 1985–2010. PLoS One 13, 6(4), e17520.
Ware, J. E., & Sherbourne, C. D. (1992). The MOS 36-Item Short-Form Health Survey (SF-36). Medical Care, 30, 474–483.
Hunt, S. M., McEwan, J., & McKenna, S. P. (1985). Measuring health status: a new tool for clinicians and epidemiologists. Journal of the Royal College of General Practitioners, 35(273), 185–188.
Finlay, A. Y., & Khan, G. K. (1994). Dermatology Life Quality Index (DLQI)-a simple practical measure for routine clinical use. Clinical and Experimental Dermatology, 19, 210–216.
Chren, M. M., Lasek, R. J., Flocke, S. A., & Zyzanski, S. J. (1997). Improved discriminative and evaluative capability of a refined version of Skindex, a quality of-life instrument for patients with skin diseases. Archives of Dermatology, 133, 1433–1440.
McKenna, S. P., Cook, S. A., Whalley, D., Doward, L. C., Richards, H. L., Griffiths, C. E., et al. (2003). Development of the PSORIQoL, a psoriasis-specific measure of quality of life designed for use in clinical practice and trials. British Journal of Dermatology, 149, 323–331.
Whalley, D., McKenna, S. P., Dewar, A. L., Erdman, R. A., Kohlmann, T., Niero, M., et al. (2004). A new instrument for assessing Quality of Life in Atopic Dermatitis (QoLIAD). British Journal of Dermatology, 150, 274–283.
Nijsten, T. E., Sampogna, F., Chren, M. M., & Abeni, D. D. (2006). Testing and reducing skindex-29 using Rasch analysis: Skindex-17. Journal of Investigative Dermatology, 126, 1244–1250.
Nijsten, T. E., Meads, D. M., de Korte, J., Sampogna, F., Gelfand, J. M., Ongenae, K., et al. (2007). Cross-cultural inequivalence of dermatology-specific health related quality of life instruments in psoriasis patients. Journal of Investigative Dermatology, 127, 2315–2322.
Both, H., Essink-Bot, M. L., Busschbach, J., & Nijsten, T. (2007). Critical review of generic and dermatology-specific health-related quality of life instruments. Journal of Investigative Dermatology, 127, 2726–2739.
Twiss, J., Meads, D. M., Preston, E. P., Crawford, S. R., & McKenna, S. P. (2012). Can we rely on the Dermatology Life Quality Index (DLQI) as a measure of the impact of psoriasis or atopic dermatitis? Journal of Investigative Dermatology, 132(1), 76–84.
Prinsen, C. A., de Korte, J., Augustin, M., Sampogna, F., Salek, S. S., & Basra, M. K., et al. (2013). Measurement of health-related quality of life in dermatological research and practice: outcome of the EADV Taskforce on Quality of Life. Journal of the European Academy of Dermatology and Venereology, 27(10), 1195–203.
Chamlin, S. L., & Chren, M. M. (2010). Quality-of-life outcomes and measurement in childhood atopic dermatitis. Immunology and Allergy Clinics of North America, 30(3), 281–288.
McKenna, S. P. (2011). Measuring patient-reported outcomes: Moving beyond misplaced common sense to hard science. BMC Medicine, 9, 86.
Potocka, A., Turczyn-Jabłońska, K., & Kieć-Swierczyńska, M. (2008). Self-image and quality of life of dermatology patients. International Journal of Occupational Medicine and Environmental Health, 21(4), 309–317.
Potocka, A., Turczyn-Jabloñska, K., & Merecz, D. (2009). Psychological correlates of quality of life in dermatology patients: The role of mental health and self-acceptance. Acta Dermatovenerologica Alpina, Pannonica et Adriatica, 18(2), 53–58.
Ludwig, M. W., Oliveira Mda, S., Muller, M. C., & Moraes, J. F. (2009). Quality of life and site of the lesion in dermatological patients. Anais Brasileiros de Dermatologia, 84(2), 143–150.
Quandt, S. A., Schulz, M. R., Vallejos, Q. M., Feldman, S. R., Verma, A., Fleischer, A. B., et al. (2008). The association of dermatologist-diagnosed and self-reported skin diseases with skin-related quality of life in Latino migrant farmworkers. International Journal of Dermatology, 47(3), 236–241.
Papoutsaki, M., Chimenti, M. S., Costanzo, A., Talamonti, M., Zangrilli, A., Giunta, A., et al. (2007). Adalimumab for severe psoriasis and psoriatic arthritis: An open-label study in 30 patients previously treated with other biologics. Journal of the American Academy of Dermatology, 57(2), 269–275.
Schmitt, J., Heese, E., Wozel, G., & Meurer, M. (2007). Effectiveness of inpatient treatment on quality of life and clinical disease severity in atopic dermatitis and psoriasis vulgaris: A prospective study. Dermatology, 214(1), 68–76.
Dallmeijer, A. J., de Groot, V., Roorda, L. D., Schepers, V. P., Lindeman, E., van den Berg, L. H., et al. (2007). Cross-diagnostic validity of the SF-36 physical functioning scale in patients with stroke, multiple sclerosis and amyotrophic lateral sclerosis: A study using Rasch analysis. Journal of Rehabilitation Medicine, 39(2), 163–169.
Taylor, W. J., & McPherson, K. M. (2007). Using Rasch analysis to compare the psychometric properties of the short form 36 physical function score and the health assessment questionnaire disability index in patients with psoriatic arthritis and rheumatoid arthritis. Arthritis & Rheumatism (Arthritis Care & Research), 57(5), 723–729.
Jenkinson, C., Fitzpatrick, R., Garratt, A., Peto, V., & Stewart-Brown, S. (2001). Can item response theory reduce patient burden when measuring health status in neurological disorders? Results from Rasch analysis of the SF-36 physical functioning scale (PF-10). Journal of Neurology, Neurosurgery and Psychiatry, 71, 220–224.
Velanovich, V. (1998). Comparison of generic (SF-36) vs. disease-specific (GERD-HRQL) quality-of-life scales for gastroesophageal reflux disease. Journal of Gastrointestinal Surgery, 2(2), 141–145.
Shikiar, R., Willian, M. K., Okun, M. M., Thompson, C. S., & Revicki, D. A. (2006). The validity and responsiveness of three quality of life measures in the assessment of psoriasis patients: results of a phase II study. Health and Quality of Life Outcomes, 27(4), 71.
Angst, F., Verra, M. L., Lehmann, S., & Aeschlimann, A. (2008). Responsiveness of five condition-specific and generic outcome assessment instruments for chronic pain. BMC Medical Resesearch Methodology, 25(8), 26.
Dawson, J., Boller, I., Doll, H., Lavis, G., Sharp, R., Cooke, P., et al. (2012). Responsiveness of the Manchester-Oxford Foot Questionnaire (MOXFQ) compared with AOFAS, SF-36 and EQ-5D assessments following foot or ankle surgery. The Journal of Bone and Joint Surgery, 94(2), 215–221.
Jull, A., Parag, V., Walker, N., & Rodgers, A. (2010). Responsiveness of generic and disease-specific health-related quality of life instruments to venous ulcer healing. Wound Repair and Regeneration, 18(1), 26–30.
Reeve, B. B., Hays, R. D., Chang, C., & Perfetto, E. M. (2007). Applying item response theory to enhance health outcomes assessment. Quality of Life Research, 16, 1–3.
Hunt, S. M., & McKenna, S. P. (1992). The QLDS: A scale for the measurement of quality of life in depression. Health Policy, 22, 307–319.
Maslow, A. H. (1970). Motivation and personality (2nd ed.). New York: Harper & Row.
Max-Neef, M. A., Elizalde, A., & Hopenhayn, M. (1991). Human scale development: conception application and further reflections (p. 18). New York: Apex Press.
Kenrick, D. T., Griskevicius, V., Neuberg, S. L., & Schaller, M. (2010). Renovating the pyramid of needs: Contemporary extensions built upon ancient foundations. Perspectives on psychological science, 5, 292.
Rasch, G. (1960). (Reprinted 1980). Probabilistic Models for Some Intelligence and Attainment Tests.. Chicago: University of Chicago Press.
Tennant, A., McKenna, S. P., & Hagell, P. (2004). Application of Rasch analysis in the development and application of quality of life instruments. Value in Health, 7(Suppl 1), S22–S26.
Tennant, A., & Gonaghan, P. G. (2007). The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one should one look for in a Rasch paper? Arthritis and Rheumatism, 57, 1358–1362.
Holland, P. W., & Wainer, H. (Eds.). (1993). Differential item functioning. New Jersey: Lawrence Erlbaum Associates.
Smith, E. V. (2002). Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals. Journal of Applied Measurement, 3(2), 205–231.
Andrich, D. (1988). Rasch models for measurement., Sage University paper series on Quality Application in the social sciences Sage Publications Inc: Newbury Park.
Andrich, D., Sheridan, B., & Luo, G. (2009). Interpretting RUMM2030 (4TH ed.). Perth: RUMM Laboratory Pty Ltd.
Latimer, S., et al. (2012). Co-calibration of deliberate self harm (DSH) behaviours: towards a common measurement metric. Psychiatry Research, 200(1), 26–34.
Thissen, D., Varni, J. W., Stucky, B. D., Liu, Y., Irwin, D. E., & DeWalt, D. A. (2011). Using the PedsQL™ 3.0 Asthma Module to obtain scores comparable with those of the PROMIS Pediatric Asthma Impact Scale (PAIS). Quality of Life Research, 20, 1497–1505.
Crane, P. K., Narasimhalu, K., Gibbons, L. E., Mungas, D. M., Haneuse, S., Larson, E. B., et al. (2008). Item response theory facilitated cocalibrating cognitive tests and reduced bias in estimated rates of decline. Journal of Clinical Epidemiology, 61(10), 1018–1027.
Chalkidou, K. & Anderson, G. (2009). Comparative effectiveness research: international experiences and implications for the United States. http://www.academyhealth.org/files/publications/CER_International_Experience_09%20(3).pdf September, 2013.
McKenna, S. P., Meads, D. M., Doward, L. C., Twiss, J., Pokrzywinski, R., Revicki, D., et al. (2011). Development and validation of the living with chronic obstructive pulmonary disease questionnaire. Quality of Life Research, 20, 1043–1052.
Doward, L. C., McKenna, S. P., Meads, D. M., Twiss, J., & Eckert, B. J. (2009). The development of patient-reported outcome indices for multiple sclerosis (PRIMUS). Multiple Sclerosis, 15, 1092–1102.
Keenan, A. M., Mckenna, S. P., Doward, L. C., Conaghan, P. G., Emery, P., & Tennant, A. (2008). Development and validation of a needs-based quality of life instrument for osteoarthritis. Arthritis & Rheumatism (Arthritis Care & Research), 59(6), 841–848.
McKenna, S. P., Doughty, N., Meads, D. M., Doward, L. C., & Pepke-Zaba, J. (2006). The Cambridge pulmonary hypertension outcome review (CAMPHOR): A measure of health-related quality of life and quality of life for patients with pulmonary hypertension. Quality of Life Research, 15(103–115), 54.
Haley, S. M., Ni, P., Lai, J. S., Tian, F., Coster, W. J., Jette, A. M., et al. (2011). Linking the activity measure for post acute care and the quality of life outcomes in neurological disorders. Archives of Physical Medicine and Rehabilitation, 92, S37–S43.
McHorney, C. A. (2002). Use of item response theory to link 3 modules of functional status items from the asset and health dynamics among the oldest old study. Archives of Physical Medicine and Rehabilitation, 83(3), 383–394.
Thissen, D., Varni, J. W., Stucky, B. D., Liu, Y., Irwin, D. E., & DeWalt, D. A. (2011). Using the PedsQL 3.0 asthma module to obtain scores comparable with those of the PROMIS pediatric asthma impact scale (PAIS). Quality of Life Research, 20(9), 1497–1505.
Vale, C. D. (1986). Linking item parameters onto a common scale. Applied Psychological Measurement, 10, 333–344.
Wolfe, E. W. (2000). Equating and item banking with the Rasch model. Journal of Applied Measurement, 1(4), 409–434.
Angoff, W.H. Scales, norming, and equivalent scores. In R. L. Thorndike (Ed.), Education measurement (2nd ed., pp. 508–600). Washington, DC: American Council on Education.
Wingersky, M. S., & Lord, F. M. (1984). An investigation of methods for reducing sampling error in certain IRT procedures. Applied Psychological Measurement, 8, 347–364.
Acknowledgments
The study was unfunded. We thank the patients who completed the PSORIQoL and QoLIAD, Professor CEM Griffiths from Salford Royal Hospital and the UK National Eczema Society.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Twiss, J., McKenna, S.P. Comparing the impact of psoriasis and atopic dermatitis on quality of life: co-calibration of the PSORIQoL and QoLIAD. Qual Life Res 24, 105–113 (2015). https://doi.org/10.1007/s11136-014-0630-y
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-014-0630-y