Skip to main content

Main menu

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • JRheum Supplements
  • Services

User menu

  • My Cart
  • Log In

Search

  • Advanced search
The Journal of Rheumatology
  • JRheum Supplements
  • Services
  • My Cart
  • Log In
The Journal of Rheumatology

Advanced Search

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • Follow Jrheum on BlueSky
  • Follow jrheum on Twitter
  • Visit jrheum on Facebook
  • Follow jrheum on LinkedIn
  • Follow jrheum on YouTube
  • Follow jrheum on Instagram
  • Follow jrheum on RSS
Research ArticleSystemic Sclerosis
Open Access

Psychometric Evaluation of the Scleroderma Skin Questionnaire: A Novel Patient-Reported Outcome for Skin Disease in Patients With Systemic Sclerosis

Jeong Min Yu, John M. VanBuren, Angela Child, Jessica S. Alvey, Lisa A. Mandl, Laura C. Pinheiro, Shervin Assassi, Elana J. Bernstein, Flavia V. Castelino, Lorinda Chung, Luke Evnin, Tracy M. Frech, Faye N. Hant, Laura K. Hummers, Dinesh Khanna, Kimberly S. Lakin, Dorota Lebiedz-Odrobina, Yiming Luo, Ashima Makol, Jerry A. Molitor, Duncan F. Moore, Carrie Richardson, Nora Sandorfi, Ami A. Shah, Ankoor Shah, Victoria K. Shanmugam, Brian Skaug, Virginia D. Steen, Elizabeth R. Volkmann and Jessica K. Gordon
The Journal of Rheumatology March 2025, 52 (3) 263-269; DOI: https://doi.org/10.3899/jrheum.2024-0736
Jeong Min Yu
1J.M. Yu, MD, MS, K.S. Lakin, MD, MS, Division of Rheumatology, Hospital for Special Surgery, New York City, New York;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jeong Min Yu
  • For correspondence: aprilyuj{at}gmail.com
John M. VanBuren
2J.M. VanBuren, PhD, A. Child, MS, J.S. Alvey, MS, Division of Pediatric Critical Care, Department of Pediatrics, University of Utah, Salt Lake City, Utah;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for John M. VanBuren
Angela Child
2J.M. VanBuren, PhD, A. Child, MS, J.S. Alvey, MS, Division of Pediatric Critical Care, Department of Pediatrics, University of Utah, Salt Lake City, Utah;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Angela Child
Jessica S. Alvey
2J.M. VanBuren, PhD, A. Child, MS, J.S. Alvey, MS, Division of Pediatric Critical Care, Department of Pediatrics, University of Utah, Salt Lake City, Utah;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jessica S. Alvey
Lisa A. Mandl
3L.A. Mandl, MD, MPH, Division of Rheumatology, Hospital for Special Surgery, and Department of Medicine, Weill Cornell Medicine, Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura C. Pinheiro
4L.C. Pinheiro, PhD, MPH, Department of Medicine, Weill Cornell Medicine, and Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shervin Assassi
5S. Assassi, MD, MS, B. Skaug, MD, PhD, Division of Rheumatology, University of Texas Health Science Center at Houston, Houston, Texas;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elana J. Bernstein
6E.J. Bernstein, MD, MS, Y. Luo, MD, Division of Rheumatology, Department of Medicine, Columbia University Irving Medical Center, Vagelos College of Physicians and Surgeons, New York, New York;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Flavia V. Castelino
7F.V. Castelino, MD, Division of Rheumatology, Massachusetts General Hospital, Boston, Massachusetts;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lorinda Chung
8L. Chung, MD, MS, Division of Immunology and Rheumatology, Stanford University and Palo Alto VA Health Care System, Palo Alto, California;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Lorinda Chung
Luke Evnin
9L. Evnin, PhD, Scleroderma Research Foundation, San Francisco, California;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tracy M. Frech
10T.M. Frech, MD, MS, Division of Rheumatology and Immunology, Vanderbilt University Medical Center, Tennessee Valley Health Care System, Veterans Affair Medical Center, Nashville, Tennessee;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Tracy M. Frech
Faye N. Hant
11F.N. Hant, DO, MS, Division of Rheumatology, Medical University of South Carolina, Charleston, South Carolina;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Faye N. Hant
Laura K. Hummers
12L.K. Hummers, MD, MS, A.A. Shah, MD, MHS, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Laura K. Hummers
Dinesh Khanna
13D. Khanna, MBBS, MS, Division of Rheumatology, University of Michigan, Ann Arbor, Michigan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kimberly S. Lakin
1J.M. Yu, MD, MS, K.S. Lakin, MD, MS, Division of Rheumatology, Hospital for Special Surgery, New York City, New York;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kimberly S. Lakin
Dorota Lebiedz-Odrobina
14D. Lebiedz-Odrobina, MD, Division of Rheumatology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yiming Luo
6E.J. Bernstein, MD, MS, Y. Luo, MD, Division of Rheumatology, Department of Medicine, Columbia University Irving Medical Center, Vagelos College of Physicians and Surgeons, New York, New York;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Yiming Luo
Ashima Makol
15A. Makol, MBBS, Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ashima Makol
Jerry A. Molitor
16J.A. Molitor, MD, PhD, Division of Rheumatic and Autoimmune Diseases, Department of Medicine, University of Minnesota, Minneapolis, Minnesota;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Duncan F. Moore
17D.F. Moore, MD, C. Richardson, MD, Division of Rheumatology, Northwestern University, Chicago, Illinois;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Duncan F. Moore
Carrie Richardson
17D.F. Moore, MD, C. Richardson, MD, Division of Rheumatology, Northwestern University, Chicago, Illinois;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Carrie Richardson
Nora Sandorfi
18N. Sandorfi, MD, Division of Rheumatology, University of Pennsylvania, Philadelphia, Pennsylvania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ami A. Shah
12L.K. Hummers, MD, MS, A.A. Shah, MD, MHS, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ami A. Shah
Ankoor Shah
19A. Shah, MD, Division of Rheumatology and Immunology, Duke University, Durham, North Carolina;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ankoor Shah
Victoria K. Shanmugam
20V.K. Shanmugam, MBBS, The George Washington University School of Medicine and Health Sciences, Department of Anatomy, George Washington University, Washington, DC;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Victoria K. Shanmugam
Brian Skaug
5S. Assassi, MD, MS, B. Skaug, MD, PhD, Division of Rheumatology, University of Texas Health Science Center at Houston, Houston, Texas;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Brian Skaug
Virginia D. Steen
21V.D. Steen, MD, Georgetown University Medical Center, Washington, DC;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elizabeth R. Volkmann
22E.R. Volkmann, MD, MS, Division of Rheumatology, Department of Medicine, University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, California;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jessica K. Gordon
23J.K. Gordon, MD, MS, Division of Rheumatology, Hospital for Special Surgery, and Department of Medicine, Weill Cornell Medicine, New York City, New York, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • References
  • PDF
PreviousNext
Loading

Abstract

Objective We aimed to evaluate the psychometric properties of the Scleroderma Skin Questionnaire (SSQ), a novel patient-reported outcome (PRO) to assess systemic sclerosis (SSc)–related skin symptoms.

Methods Participants were recruited from the SSc Collaborative National Quality and Efficacy Registry (CONQUER). Internal consistency was determined using Cronbach α and McDonald ω total (ωt). The correlation of the SSQ was assessed with the modified Rodnan skin score (mRSS), physician global assessment (PGA), Scleroderma Health Assessment Questionnaire, 29-item Patient-Reported Outcomes Measurement Information System (PROMIS-29), and patient global assessment to assess criterion, convergent, and divergent validity. Correlations were also assessed between patients’ self-reported recall of skin changes over the past 6 months (“SSQ 6-Month”) and 6-month change in mRSS.

Results The SSQ was administered to 799 adults (mean age 52.7; 83% female) enrolled in CONQUER. Cronbach α was 0.90 and ωt was 0.92, indicating high internal consistency. The SSQ was moderately correlated with mRSS (r 0.56), with stronger correlations in diffuse (r 0.54) vs limited cutaneous subtypes (r 0.24; all P < 0.05). The SSQ was also moderately-to-strongly correlated with PROMIS-29 physical function (r −0.50) and pain interference subscales (r 0.61), strongly with Health Assessment Questionnaire score (r 0.63) and severity subscale (r 0.62), and moderately with PGA SSc activity score (r 0.48; all P < 0.05). SSQ 6-Month correlated weakly with the 6-month change in mRSS (r 0.26; P < 0.05).

Conclusion SSQ demonstrated high reliability and moderate correlation with mRSS and legacy PROs. This study provides initial support for SSQ, but not SSQ 6-Month, to assess skin symptoms in patients with SSc.

Key Indexing Terms:
  • outcome assessment
  • outcomes
  • registries
  • scleroderma
  • skin
  • systemic sclerosis

Systemic sclerosis (SSc) is characterized by vascular, fibrotic, and immunologic manifestations in multiple organ systems.1 Skin thickening, a hallmark feature, is assessed using the semiquantitative modified Rodnan skin score (mRSS).2 Worsening mRSS is associated with higher morbidity and mortality.3 However, mRSS is limited as an outcome measure because it has only moderate interrater reliability,4 does not capture all relevant clinical features of SSc skin disease, and must be assessed by an expert at point of care. Patient-reported outcomes (PROs), by contrast, do not require in-person visits and capture an individual’s experience with symptoms and quality of life (QOL).5 In SSc, both disease-specific and generic PROs are used to understand global symptom burden, and validated, organ-specific PROs are used to study organ-targeted treatments.6 There is an ongoing need for a skin-specific PRO that captures subjective skin symptoms among patients with SSc.

The purpose of this study is to assess the psychometric properties of the Scleroderma Skin Questionnaire (SSQ), a 2-part instrument that includes cross-sectional and retrospective components. This novel PRO was initially developed in 2012 for the Prospective Registry of Early Systemic Sclerosis to assess SSc skin symptoms, but its performance characteristics have not yet been described.7 Part 1 of this PRO, which we will refer to as SSQ, includes questions related to a patient’s current symptoms, and part 2, which we refer to as SSQ 6-Month, asks subjects to retrospectively report how their symptoms have changed over the previous 6 months. The full SSQ has been administered to participants enrolled in the Collaborative National Quality and Efficacy Registry (CONQUER), a US-based multicenter registry of adults with early limited cutaneous (lc) and diffuse cutaneous (dc)SSc.8

METHODS

Study population. Subjects were recruited from CONQUER, a registry that enrolls patients ≥ 18 years old who fulfill the 2013 American College of Rheumatology (ACR)/European Alliance of Associations for Rheumatology (EULAR) classification criteria for SSc9 and have a disease duration < 5 years from onset of the first non-Raynaud phenomenon (RP) symptom. Our analysis includes 18 sites across 13 US states and the District of Columbia. Nine generic and organ-specific PROs, including the full SSQ, are collected every 6 months, and participants have an mRSS assessment performed at each visit.8 Study data are housed in a REDCap (Research Electronic Data Capture) system at the University of Utah Data Coordinating Center.8

Measures. Measures included mRSS, physician global assessment (PGA), Scleroderma Health Assessment Questionnaire (SHAQ), 29-item Patient-Reported Outcomes Measurement Information System (PROMIS-29), and patient global assessment (PtGA). The validity and scoring of these PROs have been described previously.6,10-14 mRSS and PGA were chosen to evaluate whether the SSQ is correlated with physician assessment of skin disease and global disease burden. SHAQ, PROMIS-29, and PtGA were chosen to evaluate whether SSQ is correlated with self-assessment of physical disability, health status, and global disease burden.

The PtGA comprises a single question about overall health in the past week, with scores ranging from 0 to 10, in which a higher score signifies worse health. The PGA includes questions about overall health, SSc disease activity, and global assessment of damage from SSc, each scored from 0 to 10, in which higher scores indicate worse physician-rated outcomes.

The SHAQ includes the Health Assessment Questionnaire (HAQ) and visual analog scales for RP attacks, finger ulcers, intestinal symptoms, breathing symptoms, and overall disease severity. Each symptom is scored from 0 to 3, with higher scores indicating worse symptoms.6,10-12

The PROMIS-29 includes 7 core domains and an 11-point rating scale for pain intensity. Norm-based scores were calculated such that a score of 50 ± 10 represents the mean (SD) of the general US population. On symptom-oriented domains (anxiety, depression, fatigue, pain interference, and sleep disturbance), higher scores represent worse symptoms. On the function-oriented domains (physical functioning and social role), higher scores represent better functioning.6,13,14 Data were included in the current study if all questions for each domain were answered.

SSQ and SSQ 6-month. The full SSQ is a 2-part questionnaire. The first part (SSQ) asks respondents to recall 6 skin symptoms (tight, painful, red, hard, itchy, rigid/stiff ) over the past 7 days. The SSQ 6-Month asks respondents to compare the same 6 symptoms over the past 7 days to 6 months prior. Both SSQ and SSQ 6-Month are assessed using a 5-point Likert scale and averaged to obtain scores ranging from 0 to 4, in which higher scores indicate worsening symptoms (Supplementary Figure S1, available with the online version of this article). At least 5 items must be answered to calculate a score.

Statistical analysis. Demographics and baseline characteristics were compared between SSc subtypes. Continuous variables were summarized using means and SDs and compared between groups using 2-sample t tests. Categorical variables were summarized using counts and percentages and compared between groups using chi-square tests.

The response frequency distribution of each of the 6 symptoms of the SSQ was analyzed to understand the range of symptom severity. Floor effect was defined as > 15% of participants achieving the lowest (best) score, and ceiling effect was defined as > 15% of participants having the highest (worst) score.15

Internal consistency of SSQ was evaluated using Cronbach α and McDonald ω total (ωt). Cronbach α was chosen because it is one of the most commonly used tests for evaluating internal consistency.16 However, given the nonnormal distribution of the dataset, the conditions for Cronbach α were not met and therefore, a more robust ωt was calculated to confirm the findings of Cronbach α.16,17 Participants who completed ≥ 5/6 SSQ questions were used to assess internal consistency and reliability of the instrument. Factor analysis was conducted to determine redundancy of questions.

At baseline, Pearson correlation coefficient (r) was computed between SSQ and mRSS, PGA, and each PRO (SHAQ, PROMIS-29, and PtGA), with stratified analyses by SSc subtype (lcSSc vs dcSSc) and disease duration (< 2 years vs ≥ 2 years since first non-RP symptom). Criterion validity was assessed by the correlation of SSQ with mRSS; convergent and divergent validity18,19 was assessed by the correlation of SSQ with PGA, SHAQ, PROMIS-29, and PtGA. Coefficients with an absolute value of > 0.6 indicated strong correlations and good convergent validity, and coefficients with an absolute value between 0.4 and 0.6 were considered moderate. Moderate and strong correlations were considered supportive of the validity assessments.20 Analyses included participants who had ≥ 5/6 SSQ questions completed and who had the associated score of interest (eg, PGA, mRSS) at the same visit.

Longitudinal associations between the cross-sectional SSQ and PGA, each PRO, and mRSS were calculated using mixed effects modeling with an unstructured visit correlation matrix and a bias-corrected 95% CI determined through cluster bootstrapping. All observed follow-ups for each participant were used in the modeling.

The association between change in mRSS and change in SSQ from baseline to 6 months was evaluated to assess SSQ’s responsiveness to change.19 Associations between change scores were computed using participants who had an enrollment and a 6-month follow-up visit, each with SSQ and mRSS available.

In order to assess recall of skin changes, we computed the correlation of SSQ 6-Month with objective measurements over a 6-month period (baseline to 6 months, and 6 to 12 months) using the previously described mixed modeling with the same weight given to both 6-month periods. This analysis was limited to patients who completed their baseline, 6-month, and 12-month visits.

Statistical significance was prespecified as a 2-sided P value < 0.05. Analyses were performed using SAS version 9.4 (SAS Institute).

RESULTS

Participants. As of March 15, 2024, 799 adults with SSc were enrolled in CONQUER, 536 (67%) with dcSSc and 263 (33%) with lcSSc. Most were female (83%) and non-Hispanic White (71%). Mean disease duration since first non-RP symptom was 2.5 (SD 1.4) years. Mean (SD) age at enrollment of lcSSc and dcSSc was 54.2 (14.1) years and 51.9 (13.5) years, respectively. The dcSSc group had more male individuals (20% vs 13%) and non-Hispanic Black participants (13% vs 5%) compared to the lcSSc group. mRSS scores were significantly higher in those with dcSSc vs lcSSc (16.5 vs 3.9; P < 0.001). Similarly, SSQ was higher (ie, worse symptoms) in those with dcSSc compared with lcSSc (1.6 vs 0.9; P < 0.001; Table 1).

View this table:
  • View inline
  • View popup
Table 1.

Patient demographics and baseline characteristics.

Psychometric properties.

•    Internal consistency reliability. Cronbach α of SSQ was 0.90 and ωt was 0.92, indicating high internal consistency. There was redundancy based on the exploratory factor analysis (Supplementary Information, available with the online version of this article).

•    Response frequency distributions. Histograms were positively skewed, showing possible floor effects, as many reported the lowest score (not at all) on hard (40%), itchy (36%), painful (46%), red (44%), rigid/stiff (36%), and tight (19%) skin symptoms at enrollment (Supplementary Figure S2, available with the online version of this article). The same trend was observed across responses from all visits (Supplementary Figure S3). There was no evidence for ceiling effects.

•    Correlation with mRSS. At baseline, SSQ was moderately correlated with mRSS (r 0.56). Correlations were stronger among individuals with dcSSc (r 0.54) than lcSSc (r 0.24; Table 2). Similar moderate correlations were observed in participants with different disease duration (r 0.54 and r 0.52 for < 2 years and ≥ 2 years, respectively; Table 3). All correlations were significant (P < 0.05).

View this table:
  • View inline
  • View popup
Table 2.

Correlations between SSQ with mRSS and legacy PROs by SSc subtype.

View this table:
  • View inline
  • View popup
Table 3.

Correlations between SSQ with mRSS and legacy PROs by disease duration.

•    Correlations with legacy PROs. At enrollment, SSQ was moderately correlated with the PtGA (r 0.43), SSc activity component of the PGA (r 0.48), PGA overall health (r 0.42), and PGA SSc damage (r 0.39; Table 2). Higher (worse) SSQ was moderately correlated with worse PROMIS-29 physical function (r −0.50) and ability to participate in social roles and activities (r −0.49). SSQ was moderately-to-strongly correlated with worse pain interference (r 0.61) and fatigue (r 0.43). SSQ was weakly correlated with worse PROMIS-29 depression/sadness (r 0.34), anxiety/fear (r 0.23), and sleep disturbance (r 0.10). Better SSQ was strongly correlated with better HAQ score (r 0.63) and severity score (r 0.62), and weakly to SHAQ intestinal symptoms (r 0.27), breathing symptoms (r 0.26), RP attacks (r 0.39), and finger ulcers (r 0.29). Longitudinal correlations showed similar trends to correlations at baseline. The correlations at enrollment were also sustained when stratified by SSc subtype and disease duration. All correlations were significant (P < 0.05; Table 2 and Table 3).

•    SSQ’s relationship with change in mRSS. There was a weak but statistically significant correlation between change in SSQ and the change in mRSS from baseline to 6 months (r 0.30; P < 0.001).

•    SSQ’s minimal clinically important difference. The SSQ minimal clinically important difference, which was estimated to be 1.4 (95% CI 1.29-1.51), correlated with a change of 5 in the mRSS. However, based on a contingency table examining all visits (Supplementary Table S3, available with the online version of this article), the change in SSQ was not closely associated with the actual changes in mRSS.

•    SSQ 6-Month. SSQ 6-Month recall had a weak correlation of r 0.26 (P < 0.05) with the 6-month change in mRSS. It also had a weak correlation with the 6-month changes in HAQ (r 0.17), SHAQ severity score (r 0.21), PROMIS-29 fatigue, pain interference, social role, and physical function, and all the PGA subscales (all P < 0.05; Supplementary Table S4, available with the online version of this article). Other legacy PROs did not have statistically significant correlation coefficients.

DISCUSSION

We report initial evidence to support the validity of the SSQ in assessing skin symptoms in patients with SSc. The SSQ is a brief self-report questionnaire minimizing responder burden. Further, it demonstrates high internal consistency based on Cronbach α and ωt. Review of response frequencies showed skewing toward higher scores, suggesting a possible floor effect. However, this may be owing to the large proportion of CONQUER patients for whom skin disease is less severe. SSQ is moderately correlated with mRSS; the correlation was stronger in patients with dcSSc compared to lcSSc, supporting criterion validity. We observed moderate correlations of SSQ with multiple legacy PROs. SSQ had higher correlations with items that were expected to correlate with skin symptoms (eg, PROMIS-29 pain interference and HAQ), which supports convergent validity. SSQ showed weak correlation with items that would not be expected to correlate with skin (eg, SHAQ intestinal VAS and breathing VAS), supporting divergent (discriminant) validity.

The second part of the survey, SSQ 6-Month, was used to assess the accuracy and reliability of recall of patients’ with SSc of the change in their skin disease. SSQ 6-Month showed weak correlation with change in mRSS, suggesting either a poor recall for a 6-month timespan or a disconnect between the patient perception of change and the objective measured change in mRSS. This is not surprising, given that prior studies have shown limited accuracy in patients’ recall of symptoms beyond 1 to 2 weeks.21 The SSQ 6-Month showed weak correlation with other PROs. Based on these findings, we recommend removing this retrospective component in future iterations of the full SSQ.

The lack of a fully validated, self-reported skin assessment for patients with SSc is an unmet need in SSc research. After the inception of CONQUER, the Scleroderma Skin Patient-Reported Outcome (SSPRO) was developed to capture SSc skin symptoms and skin-related QOL. The SSPRO is a longer 18-item questionnaire that has been used as an outcome measure for SSc skin disease in 1 clinical trial.22 SSPRO was weakly correlated with physician-assessed mRSS (r 0.38; P < 0.05) in an SSc cohort of 140 patients, in which it was validated and was moderately-to-strongly correlated with other PROs.23 Whether the shorter, skin symptom–focused SSQ is more acceptable to patients with SSc, and whether it is a stronger predictor of clinical outcomes than the SSPRO, are important areas of future research. Unlike the SSPRO, the SSQ was developed by clinicians without patient partnership. Refinement of the SSQ would benefit from incorporating the perspectives of individuals with SSc.

There are some limitations to consider. CONQUER participants are 71% non-Hispanic White, 67% have the diffuse cutaneous subtype, and have a mean disease duration of 2.5 years. These factors potentially affect the generalizability of our findings. Although in most cases the mRSS is performed by the same physician at each visit, this is not prespecified in the protocol and could affect the findings. We were not able to assess SSQ test-retest reliability because the CONQUER protocol is written such that participants complete the SSQ every 6 months, during which time their skin disease could have changed significantly, but this will be performed in future studies. Finally, adjustments were not made for multiple comparisons, and since this was an exploratory study, no a priori prediction was made.

Our study has several important strengths. First, CONQUER includes a large sample of validated individuals with early SSc, which is important in developing an outcome measure to be used in clinical trials.7 CONQUER has low rates of missing data in follow-up assessments (Supplementary Table S5, available with the online version of this article). The SSQ’s internal consistency was demonstrated through 2 measures with similarly strong values. The SSQ was validated against rigorous clinical anchors, including mRSS and other validated metrics that capture SSc disease activity and QOL. The SSQ shows strong to moderate correlation with mRSS, particularly in participants with dcSSc, as well as strong convergent and divergent validity.

In conclusion, this study provides evidence that the SSQ has strong psychometric properties when used cross-sectionally but shows the SSQ 6-Month is likely not a valid PRO. Patient partnership and further validation studies are planned.

ACKNOWLEDGMENT

The work described in this manuscript was completed while JY was employed at The Hospital for Special Surgery. The opinions expressed in this article do not reflect the view of the US Food and Drug Administration, the Department of Health and Human Services, or the US government. The work described in this manuscript was completed while VDS was employed at The George Washington University Medical Faculty Associates. The opinions expressed in this article do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the US government.

Footnotes

  • CONTRIBUTIONS

    Conceptualization, investigation, project administration, validation, writing - original draft, writing - review & editing: JY; data curation, formal analysis, methodology, software, supervision, validation, visualization, writing - review & editing: JMV; data curation, formal analysis, methodology, software, validation, visualization, writing - review & editing: AC, JSA; conceptualization, methodology, resource, writing - review & editing: LAM, LCP; data curation, writing - review & editing: SA, EJB, FVC, LC, TMF, FNH, LKH, DK, KSL, DLO, YL, AM, JAM, DFM, CR, NS, AAS, AS, VKS, BS, VDS, ERV; data curation, funding acquisition, writing - review & editing: LE; conceptualization, data curation, investigation, methodology, project administration, resource, supervision, validation, writing - review & editing: JKG.

  • FUNDING

    The authors declare no funding or support for this research.

  • COMPETING INTERESTS

    The authors declare no conflicts of interest relevant to this article.

  • ETHICS AND PATIENT CONSENT

    All patients provided written informed consent and the study protocol was approved by the ethics committees at each participating institution. CONQUER IRB numbers: Columbia University (AAAR6143[M00Y07]), Duke Medical Center (Pro00108280-AMD-2.0), Georgetown University (CR00003663), Hospital for Special Surgery (2018-0165-CR4), Johns Hopkins (CR00050447/IRB00170405), Mass General (2018P001506), Mayo Clinic (21-005952), Medical University of South Carolina (MS14_Pro00080285), Northwestern University (STU00207506), Stanford University (45849), University of California Los Angeles (21-001711-AM00002), University of Michigan (HUM00149153), University of Minnesota (STUDY00014622), University of Pennsylvania (833629), University of Texas Houston (HSC-MS-18-0359), University of Utah (IRB_00111276), Vanderbilt University (210639).

  • Accepted for publication December 9, 2024.
  • Copyright © 2025 by the Journal of Rheumatology

This is an Open Access article, which permits use, distribution, and reproduction, without modification, provided the original article is correctly cited and is not used for commercial purposes.

REFERENCES

  1. 1.↵
    1. Varga J,
    2. Abraham D.
    Systemic sclerosis: a prototypic multisystem fibrotic disorder. J Clin Invest 2007;117:557-67.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Furst DE.
    Outcome measures in rheumatologic clinical trials and systemic sclerosis. Rheumatology 2008;47 Suppl 5:v29-30.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Khanna D,
    2. Furst DE,
    3. Clements PJ, et al.
    Standardization of the modified Rodnan skin score for use in clinical trials of systemic sclerosis. J Scleroderma Relat Disord 2017;2:11-8.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Gordon JK,
    2. Girish G,
    3. Berrocal VJ, et al.
    Reliability and validity of the tender and swollen joint counts and the modified Rodnan skin score in early diffuse cutaneous systemic sclerosis: analysis from the prospective registry of early systemic sclerosis cohort. J Rheumatol 2017;44:791-4.
    OpenUrlAbstract/FREE Full Text
  5. 5.↵
    1. Nowell WB,
    2. Gavigan K,
    3. Kannowski CL, et al.
    Which patient-reported outcomes do rheumatology patients find important to track digitally? A real-world longitudinal study in ArthritisPower. Arthritis Res Ther 2021;23:53.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Pellar RE,
    2. Tingey TM,
    3. Pope JE.
    Patient-reported outcome measures in systemic sclerosis (scleroderma). Rheum Dis Clin North Am 2016;42:301-16.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Frech TM,
    2. Shanmugam VK,
    3. Shah AA, et al.
    Treatment of early diffuse systemic sclerosis skin disease. Clin Exp Rheumatol 2013;31 Suppl 76:166-71.
    OpenUrlPubMed
  8. 8.↵
    1. Shanmugam VK,
    2. Frech TM,
    3. Steen VD, et al.
    Collaborative National Quality and Efficacy Registry (CONQUER) for Scleroderma: outcomes from a multicenter US-based systemic sclerosis registry. Clin Rheumatol 2020;39:93-102.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. van den Hoogen F,
    2. Khanna D,
    3. Fransen J, et al.
    2013 classification criteria for systemic sclerosis: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann Rheum Dis 2013;72:1747-55.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Steen VD,
    2. Medsger TA Jr.
    The value of the Health Assessment Questionnaire and special patient-generated scales to demonstrate change in systemic sclerosis patients over time. Arthritis Rheum 1997;40:1984-91.
    OpenUrlCrossRefPubMed
  11. 11.
    1. Pope J.
    Measures of systemic sclerosis (scleroderma): Health Assessment Questionnaire (HAQ) and Scleroderma HAQ (SHAQ), physician- and patient-rated global assessments, Symptom Burden Index (SBI), University of California, Los Angeles, Scleroderma Clinical Trials Consortium gastrointestinal Scale (UCLA SCTC GIT) 2.0, Baseline Dyspnea Index (BDI) and Transition Dyspnea Index (TDI) (Mahler’s Index), Cambridge Pulmonary hypertension Outcome Review (CAMPHOR), and Raynaud’s Condition Score (RCS). Arthritis Care Res 2011;63 Suppl 11:S98-111.
    OpenUrl
  12. 12.↵
    1. Poole JL,
    2. Steen VD.
    The use of the Health Assessment Questionnaire (HAQ) to determine physical disability in systemic sclerosis. Arthritis Care Res 1991;4:27-31.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Hinchcliff M,
    2. Beaumont JL,
    3. Thavarajah K, et al.
    Validity of two new patient-reported outcome measures in systemic sclerosis: Patient-Reported Outcomes Measurement Information System 29-item Health Profile and Functional Assessment of Chronic Illness Therapy-Dyspnea short form. Arthritis Care Res 2011;63:1620-8.
    OpenUrlCrossRef
  14. 14.↵
    1. Hinchcliff ME,
    2. Beaumont JL,
    3. Carns MA, et al.
    Longitudinal evaluation of PROMIS-29 and FACIT-dyspnea short forms in systemic sclerosis. J Rheumatol 2015;42:64-72.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    1. McHorney CA,
    2. Tarlov AR.
    Individual-patient monitoring in clinical practice: are available health status surveys adequate? Qual Life Res 1995;4:293-307.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. McNeish D.
    Thanks coefficient alpha, we’ll take it from here. Psychol Methods 2018;23:412-33.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Trizano-Hermosilla I,
    2. Alvarado JM.
    Best alternatives to Cronbach’s alpha reliability in realistic conditions: congeneric and asymmetrical measurements. Front Psychol 2016;7:769.
    OpenUrlPubMed
  18. 18.↵
    1. Rothrock NE,
    2. Kaiser KA,
    3. Cella D.
    Developing a valid patient-reported outcome measure. Clin Pharmacol Ther 2011;90:737-42.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Kirshner B,
    2. Guyatt G.
    A methodological framework for assessing health indices. J Chronic Dis 1985;38:27-36.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Swinscow TDV.
    Chapter 11. Correlation and regression. In: Campbell, MJ, editor. Statistics at Square One, 9th edition. London: BMJ Publishing; 1997:84-92.
  21. 21.↵
    1. Stull DE,
    2. Leidy NK,
    3. Parasuraman B,
    4. Chassany O.
    Optimal recall periods for patient-reported outcomes: challenges and potential solutions. Curr Med Res Opin 2009;25:929-42.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Spiera R,
    2. Hummers L,
    3. Chung L, et al.
    Safety and efficacy of Lenabasum in a Phase II, randomized, placebo-controlled trial in adults with systemic sclerosis. Arthritis Rheumatol 2020; 72:1350-60.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Man A,
    2. Correa JK,
    3. Ziemek J,
    4. Simms RW,
    5. Felson DT,
    6. Lafyatis R.
    Development and validation of a patient-reported outcome instrument for skin involvement in patients with systemic sclerosis. Ann Rheum Dis 2017;76:1374-80.
    OpenUrlAbstract/FREE Full Text

SUPPLEMENTARY DATA

Supplementary material accompanies the online version of this article.

PreviousNext
Back to top

In this issue

The Journal of Rheumatology
Vol. 52, Issue 3
1 Mar 2025
  • Table of Contents
  • Table of Contents (PDF)
  • Index by Author
  • Editorial Board (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Rheumatology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Psychometric Evaluation of the Scleroderma Skin Questionnaire: A Novel Patient-Reported Outcome for Skin Disease in Patients With Systemic Sclerosis
(Your Name) has forwarded a page to you from The Journal of Rheumatology
(Your Name) thought you would like to see this page from the The Journal of Rheumatology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Psychometric Evaluation of the Scleroderma Skin Questionnaire: A Novel Patient-Reported Outcome for Skin Disease in Patients With Systemic Sclerosis
Jeong Min Yu, John M. VanBuren, Angela Child, Jessica S. Alvey, Lisa A. Mandl, Laura C. Pinheiro, Shervin Assassi, Elana J. Bernstein, Flavia V. Castelino, Lorinda Chung, Luke Evnin, Tracy M. Frech, Faye N. Hant, Laura K. Hummers, Dinesh Khanna, Kimberly S. Lakin, Dorota Lebiedz-Odrobina, Yiming Luo, Ashima Makol, Jerry A. Molitor, Duncan F. Moore, Carrie Richardson, Nora Sandorfi, Ami A. Shah, Ankoor Shah, Victoria K. Shanmugam, Brian Skaug, Virginia D. Steen, Elizabeth R. Volkmann, Jessica K. Gordon
The Journal of Rheumatology Mar 2025, 52 (3) 263-269; DOI: 10.3899/jrheum.2024-0736

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

 Request Permissions

Share
Psychometric Evaluation of the Scleroderma Skin Questionnaire: A Novel Patient-Reported Outcome for Skin Disease in Patients With Systemic Sclerosis
Jeong Min Yu, John M. VanBuren, Angela Child, Jessica S. Alvey, Lisa A. Mandl, Laura C. Pinheiro, Shervin Assassi, Elana J. Bernstein, Flavia V. Castelino, Lorinda Chung, Luke Evnin, Tracy M. Frech, Faye N. Hant, Laura K. Hummers, Dinesh Khanna, Kimberly S. Lakin, Dorota Lebiedz-Odrobina, Yiming Luo, Ashima Makol, Jerry A. Molitor, Duncan F. Moore, Carrie Richardson, Nora Sandorfi, Ami A. Shah, Ankoor Shah, Victoria K. Shanmugam, Brian Skaug, Virginia D. Steen, Elizabeth R. Volkmann, Jessica K. Gordon
The Journal of Rheumatology Mar 2025, 52 (3) 263-269; DOI: 10.3899/jrheum.2024-0736
del.icio.us logo Twitter logo Facebook logo  logo Mendeley logo
  • Tweet Widget
  •  logo
Bookmark this article

Jump to section

  • Article
    • Abstract
    • METHODS
    • RESULTS
    • DISCUSSION
    • ACKNOWLEDGMENT
    • Footnotes
    • REFERENCES
    • SUPPLEMENTARY DATA
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • References
  • PDF

Keywords

OUTCOME ASSESSMENT
OUTCOMES
REGISTRIES
SCLERODERMA
SKIN
SYSTEMIC SCLEROSIS

Related Articles

Cited By...

More in this TOC Section

  • Long-Term Epidemiology of Systemic Sclerosis in Western Australia: A Population-Level Linked Data Study
  • Outcomes in Systemic Sclerosis–Associated Interstitial Lung Disease Based on Serological Profiles With a Focus on Anticentromere and Anti-RNA Polymerase III Antibodies
  • Characteristics of Overlap Syndrome in a Large Cohort of Brazilian Patients With Systemic Sclerosis: A Retrospective Analysis
Show more Systemic Sclerosis

Similar Articles

Keywords

  • outcome assessment
  • outcomes
  • registries
  • SCLERODERMA
  • skin
  • systemic sclerosis

Content

  • First Release
  • Current
  • Archives
  • Collections
  • Audiovisual Rheum
  • COVID-19 and Rheumatology

Resources

  • Guide for Authors
  • Submit Manuscript
  • Author Payment
  • Reviewers
  • Advertisers
  • Classified Ads
  • Reprints and Translations
  • Permissions
  • Meetings
  • FAQ
  • Policies

Subscribers

  • Subscription Information
  • Purchase Subscription
  • Your Account
  • Terms and Conditions

More

  • About Us
  • Contact Us
  • My Alerts
  • My Folders
  • Privacy/GDPR Policy
  • RSS Feeds
The Journal of Rheumatology
The content of this site is intended for health care professionals.
Copyright © 2025 by The Journal of Rheumatology Publishing Co. Ltd.
Print ISSN: 0315-162X; Online ISSN: 1499-2752
Powered by HighWire