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Co-calibrating scores from two dermatology-specific 
patient reported outcome measures 
James Twiss, 
Rebecca Crawford, Stephen McKenna 
Galen Research Ltd, Manchester, UK 
Email: jtwiss@galen-research.com
Objectives 
• To co-calibrate scores from two different 
dermatology-specific outcome measures: 
- Psoriasis Quality of Life Scale (PSORIQoL) 
- Quality of Life in Atopic Dermatitis (QoLIAD)
Introduction 
• Some interventions may be used for more than 
one disease 
• Dermatology studies frequently combine 
together patients with different kinds of skin 
conditions 
• Generic outcome measures traditionally used in 
these circumstances (e.g. SF-36/NHP)
Generic outcome measures 
Pros Cons 
Thought to be able to compare across 
diseases 
Less sensitive than disease-specific 
measures 
No need to develop separate scales 
for each disease 
May miss important issues 
Older scales often have poor 
measurement properties 
Evidence of DIF by disease
Dermatology Life Quality Index (DLQI) 
• Generic dermatology measure used in a 
large number of skin conditions 
• Evidence of poor fit to Rasch model 
- Overall misfit 
- Poor measurement range 
- Disordered response thresholds 
- Several items showed DIF by disease (psoriasis 
vs. atopic dermatitis)
Aims 
• To assess whether it is possible to compare 
scores from two dermatology-specific 
outcome measures 
- Psoriasis Quality of Life Scale (PSORIQoL) 
- Quality of Life in Atopic Dermatitis (QoLIAD)
Methods 
• Analyses conducted using RUMM2030 
• The two scales were analysed separately for fit 
to the Rasch model 
• Problems were resolved 
• The two scales were co-calibrated using a 
common item design 
• Item pool analysed for fit to the Rasch model 
• Common items analysed for DIF by disease
Questionnaire comparison 
• PsoriQoL – psoriasis-specific QoL measure 
• QoLIAD – atopic dermatitis QoL measure 
• Both based on the Needs-based model of QoL 
• Content for both from patient interviews 
• Both developed using Rasch analysis 
• 25 items in each 
• Yes/no response format in each 
• 5 common items
Common Items 
• I have no self confidence 
• I just want to shut myself away 
• I worry that other people will not accept 
me 
• I am embarrassed about my appearance 
• I can’t bear anyone touching me
Sample 
Psoriasis 
(n = 146) 
Atopic Dermatitis 
(n = 146) 
Gender (%) 
Male 73 (50) 73 (50) 
Female 73 (50) 73 (50) 
Age (Years) 
Mean (SD) 44.4 (14.7) 45.5 (16.6) 
Range 66 (17-83) 62 (20-82) 
Duration (years) 
Mean (SD) 20.9 (13.5) 28.2 (17.5) 
Range 67 (2-69) 76 (0-76)
Fit to the Rasch model 
Item-Trait 
Interaction 
Chi2 
PSI Item-Person interaction Unidimensionality 
(CI) 
Items Persons 
Mean SD Mean SD 
PSORIQoL 0.25 0.94 -0.22 1.12 -0.36 0.82 0.045 (0.008 – 0.082) 
QoLIAD 0.28 0.91 -0.25 1.12 -0.162 0.54 0.095 (0.057 - 0.133)
Residual correlations 
• Evidence of local dependency in QoLIAD between: 
Item 4: ‘I get embarrassed when I am with people I don’t know 
very well’ 
& 
Item 6: ‘I feel tense all the time’ 
Item 4: ‘I get embarrassed when I am with people I don’t know 
very well’ 
& 
Item 17: ‘I can’t concentrate on anything else’ 
• Item 4 was removed improving model fit statistics
Additional fit statistics 
• One item in each scale removed due to a high fit 
residual 
- PsoriQoL item 17 (fit residual = 2.84) 
‘It interferes with my close relationships’ 
- QoLIAD item 16 (fit residual = 3.15) 
‘I find it hard to relax’ 
• Minimal evidence of DIF by age or gender 
• Items had good logit coverage in each scale
Fit to the Rasch model – combined items 
Item-Trait 
Interaction 
Chi2 
PSI Item-Person interaction 
Items Persons 
Mean SD Mean SD 
Combined 0.056 0.88 -0.28 0.98 -0.27 0.67
DIF analysis of common items 
• One of the 5 common items showed DIF by disease (p = 0.00098) 
‘I worry that people will not accept me’
Logit position of common items 
Item Logit position 
I just want to shut myself away 2.51 
I can’t bear anyone touching me 2.03 
I have no self confidence 1.23 
I worry that other people will not accept me 0.42 
I am embarrassed about my appearance -0.85
Final fit to the Rasch model – combined items 
Item-Trait 
Interaction 
Chi2 
PSI Item-Person interaction 
Items Persons 
Mean SD Mean SD 
Final items 0.123 0.89 -0.271 1.01 -0.27 0.66
Final combined data – Targeting of items
Conclusions 
• Items were successfully co-calibrated 
• This study moves the debate about disease-specific 
vs. generic outcome measures 
forward 
• Over 20 disease-specific measures available 
based on the needs-based model of QoL
References 
McKenna SP, Cook SA, Whalley D, Doward LC, Richards HL, Griffiths CEM, 
Van Assache D (2003). Development of the PSORIQoL, a psoriasis-specific 
measure of quality of life designed for use in clinical practice and trials. Br J 
Dermatol; 149: 323-331. 
Whalley D, McKenna SP, Dewar AL, Erdman RA, Kohlman T, Niero M, Cook 
SA, Crickx B, Herdman MJ, Frech F, van Assche D, A New Instrument for 
Assessing Quality of Life in Atopic Dermatitis (QoLIAD). British Journal of 
Dermatology 2004; 150: 274-83 
Twiss J, Meads DM, Preston EP, Crawford SR, McKenna SP. 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. (2012); 
132(1):76-84.

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Co-calibrating scores from two dermatology-specific patient reported outcome measures.

  • 1. Co-calibrating scores from two dermatology-specific patient reported outcome measures James Twiss, Rebecca Crawford, Stephen McKenna Galen Research Ltd, Manchester, UK Email: jtwiss@galen-research.com
  • 2. Objectives • To co-calibrate scores from two different dermatology-specific outcome measures: - Psoriasis Quality of Life Scale (PSORIQoL) - Quality of Life in Atopic Dermatitis (QoLIAD)
  • 3. Introduction • Some interventions may be used for more than one disease • Dermatology studies frequently combine together patients with different kinds of skin conditions • Generic outcome measures traditionally used in these circumstances (e.g. SF-36/NHP)
  • 4. Generic outcome measures Pros Cons Thought to be able to compare across diseases Less sensitive than disease-specific measures No need to develop separate scales for each disease May miss important issues Older scales often have poor measurement properties Evidence of DIF by disease
  • 5. Dermatology Life Quality Index (DLQI) • Generic dermatology measure used in a large number of skin conditions • Evidence of poor fit to Rasch model - Overall misfit - Poor measurement range - Disordered response thresholds - Several items showed DIF by disease (psoriasis vs. atopic dermatitis)
  • 6. Aims • To assess whether it is possible to compare scores from two dermatology-specific outcome measures - Psoriasis Quality of Life Scale (PSORIQoL) - Quality of Life in Atopic Dermatitis (QoLIAD)
  • 7. Methods • Analyses conducted using RUMM2030 • The two scales were analysed separately for fit to the Rasch model • Problems were resolved • The two scales were co-calibrated using a common item design • Item pool analysed for fit to the Rasch model • Common items analysed for DIF by disease
  • 8. Questionnaire comparison • PsoriQoL – psoriasis-specific QoL measure • QoLIAD – atopic dermatitis QoL measure • Both based on the Needs-based model of QoL • Content for both from patient interviews • Both developed using Rasch analysis • 25 items in each • Yes/no response format in each • 5 common items
  • 9. Common Items • I have no self confidence • I just want to shut myself away • I worry that other people will not accept me • I am embarrassed about my appearance • I can’t bear anyone touching me
  • 10. Sample Psoriasis (n = 146) Atopic Dermatitis (n = 146) Gender (%) Male 73 (50) 73 (50) Female 73 (50) 73 (50) Age (Years) Mean (SD) 44.4 (14.7) 45.5 (16.6) Range 66 (17-83) 62 (20-82) Duration (years) Mean (SD) 20.9 (13.5) 28.2 (17.5) Range 67 (2-69) 76 (0-76)
  • 11. Fit to the Rasch model Item-Trait Interaction Chi2 PSI Item-Person interaction Unidimensionality (CI) Items Persons Mean SD Mean SD PSORIQoL 0.25 0.94 -0.22 1.12 -0.36 0.82 0.045 (0.008 – 0.082) QoLIAD 0.28 0.91 -0.25 1.12 -0.162 0.54 0.095 (0.057 - 0.133)
  • 12. Residual correlations • Evidence of local dependency in QoLIAD between: Item 4: ‘I get embarrassed when I am with people I don’t know very well’ & Item 6: ‘I feel tense all the time’ Item 4: ‘I get embarrassed when I am with people I don’t know very well’ & Item 17: ‘I can’t concentrate on anything else’ • Item 4 was removed improving model fit statistics
  • 13. Additional fit statistics • One item in each scale removed due to a high fit residual - PsoriQoL item 17 (fit residual = 2.84) ‘It interferes with my close relationships’ - QoLIAD item 16 (fit residual = 3.15) ‘I find it hard to relax’ • Minimal evidence of DIF by age or gender • Items had good logit coverage in each scale
  • 14. Fit to the Rasch model – combined items Item-Trait Interaction Chi2 PSI Item-Person interaction Items Persons Mean SD Mean SD Combined 0.056 0.88 -0.28 0.98 -0.27 0.67
  • 15. DIF analysis of common items • One of the 5 common items showed DIF by disease (p = 0.00098) ‘I worry that people will not accept me’
  • 16. Logit position of common items Item Logit position I just want to shut myself away 2.51 I can’t bear anyone touching me 2.03 I have no self confidence 1.23 I worry that other people will not accept me 0.42 I am embarrassed about my appearance -0.85
  • 17. Final fit to the Rasch model – combined items Item-Trait Interaction Chi2 PSI Item-Person interaction Items Persons Mean SD Mean SD Final items 0.123 0.89 -0.271 1.01 -0.27 0.66
  • 18. Final combined data – Targeting of items
  • 19. Conclusions • Items were successfully co-calibrated • This study moves the debate about disease-specific vs. generic outcome measures forward • Over 20 disease-specific measures available based on the needs-based model of QoL
  • 20. References McKenna SP, Cook SA, Whalley D, Doward LC, Richards HL, Griffiths CEM, Van Assache D (2003). Development of the PSORIQoL, a psoriasis-specific measure of quality of life designed for use in clinical practice and trials. Br J Dermatol; 149: 323-331. Whalley D, McKenna SP, Dewar AL, Erdman RA, Kohlman T, Niero M, Cook SA, Crickx B, Herdman MJ, Frech F, van Assche D, A New Instrument for Assessing Quality of Life in Atopic Dermatitis (QoLIAD). British Journal of Dermatology 2004; 150: 274-83 Twiss J, Meads DM, Preston EP, Crawford SR, McKenna SP. 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. (2012); 132(1):76-84.

Notas do Editor

  1. Need to add information relating to the development of each questionnaire PSORIQoL – developed with Rasch using a clear theoretical model DLQI – not developed with Rasch and no clear theoretical model Measure different things
  2. Galen Research – we develop disease specific patient reported outcome measures to measure the impact of disease from the patients perspective These are used widely in clinical practice and in clinical trials We have been using Rasch analysis for a number of years as a company to improve the measurement properties of our scales This has provided us the opportunity to co-calibrate scores from the measures to allow direct comparison of scores
  3. The question may be asked – why bother doing this at all?
  4. We conducted a study recently to evaluate the measurement properties of the DLQI Rasch analysis can provide new perspective on this debate Rasch analysis can be used to co-calibrate scores from two different dermatology-specific outcome measures
  5. This study has the potential to move forward the debate on this issue.
  6. This study has the potential to move forward the debate on this issue.
  7. Life gains its quality by the ability of each person to meet their needs Each illness impacts on patients ability to meet their needs in different ways It isn’t necessarily the symptoms or functional limitations that are important but how these impact on patients ability to meet their needs
  8. Psoriasis sample from the Manchester Psoriasis Service at Hope Hospital Atopic Dermatitis sample from the National Eczema society Atopic dermatitis sample from a trial
  9. When we applied
  10. Which items? 4. ‘I get embarrassed when I am with people I don’t know very well’ 6. ‘I feel tense all the time’ 17. ‘I can’t concentrate on anything else’
  11. As the two items that misfit only showed misfit by one of the fit statistics we decided to keep these Items cost several thousand pounds each to develop In addition, we wanted to keep the theoretical structure of the measure as much as possible Item 24 showed DIF by gender in the QoLIAD
  12. Overall fit to the Rasch model
  13. We decided to remove this item as it was fundamental to the calibration of the items
  14. The scale showed overall fit to the Rasch model Two items continued to show misfit 4 items removed if we remove these items
  15. There are still some persons who are not covered at the extremities but overall a good coverage
  16. It is possible to be able to take the best of both We can get specific information about each disease We can compare across diseases using Rasch analysis