Dataset Information

The FATIGUE-PRO: a new patient-reported outcome instrument to quantify fatigue in patients affected by systemic lupus erythematosus.

ABSTRACT:

Objectives

This study aimed to implement a patient-centred and evidence-based approach to develop a novel patient-reported outcome (PRO) instrument to measure fatigue in patients with SLE.

Methods

A three-step mixed methods psychometric (MMP) approach was followed. Steps comprised first draft item generation and review using interview data; evaluation and refinement of second draft items using mixed methods data, including interview and quantitative data from a phase 2 clinical study in SLE analysed using Rasch Measurement Theory (RMT) analysis; and evaluation of the final FATIGUE-PRO items using RMT and complementary Classical Test Theory (CTT) analyses. Guided by MMP criteria, a team of clinicians and outcome-measurement experts assessed evidence to inform instrument development.

Results

Step 1 culminated in 55 items (n = 39 patients interviewed). Their refinement in step 2 using mixed methods evidence led to the final FATIGUE-PRO instrument comprising 31 items across three scales of fatigue: physical fatigue (9 items), mental and cognitive fatigue (11 items) and susceptibility to fatigue (11 items). Qualitative (n = 43 patients) and quantitative (n = 106 patients) evidence strongly supported the scales' content comprehensiveness and targeting, item quality and fit, conceptual uniqueness and appropriateness of the response scale. The FATIGUE-PRO further benefited from excellent reliability (RMT: 0.92-0.94 and CTT: 0.95-0.96) and supportive evidence of construct validity from assessments against other PROs.

Conclusion

The conceptual advances, comprehensive coverage and strong psychometric properties of the FATIGUE-PRO will significantly advance the measurement and management of fatigue in SLE, both in clinical trials and routine practice.

Trial registration

ClinicalTrials.gov (https://clinicaltrials.gov), NCT02804763.

SUBMITTER: Morel T

PROVIDER: S-EPMC9348773 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The FATIGUE-PRO: a new patient-reported outcome instrument to quantify fatigue in patients affected by systemic lupus erythematosus.

Morel Thomas T Cano Stefan S Bartlett Susan J SJ Gordon Caroline C Haier Birgit B Regnault Antoine A Schneider Matthias M Stach Christian C Cleanthous Sophie S

Rheumatology (Oxford, England) 20220801 8

<h4>Objectives</h4>This study aimed to implement a patient-centred and evidence-based approach to develop a novel patient-reported outcome (PRO) instrument to measure fatigue in patients with SLE.<h4>Methods</h4>A three-step mixed methods psychometric (MMP) approach was followed. Steps comprised first draft item generation and review using interview data; evaluation and refinement of second draft items using mixed methods data, including interview and quantitative data from a phase 2 clinical st ...[more]

PMID: 34897375

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Project description:ObjectiveWe developed a model that categorizes systemic lupus erythematosus (SLE) activity into two dimensions: Type 1 SLE consists of inflammatory activity, including arthritis, nephritis, and rashes; Type 2 SLE includes fatigue, myalgia, mood disturbance, and cognitive dysfunction. Patient-reported outcome (PRO) measures have received attention as a way to capture symptomatology of SLE. The objective of this study was to explore the use of existing PRO measures to classify Type 1 and 2 SLE activity.MethodsSystemic lupus erythematosus patients completed three questionnaires: Systemic Lupus Activity Questionnaire (SLAQ), Polysymptomatic Distress Scale (PSD), and Patient Health Questionnaire (PHQ-2). SLE Disease Activity Index (SLEDAI) and physician global assessments (PGA; 0-3) for Type 1 and Type 2 activity were also recorded. High Type 1 SLE activity was defined as cSLEDAI ≥4 (scored without labs), SLEDAI ≥6, active nephritis, or Type 1 PGA ≥1.0. High Type 2 SLE activity was defined as Type 2 PGA ≥1.0. Patients with both high Type 1 and 2 activity were defined as Mixed SLE, and patients with low Type 1 and 2 activity were defined as Minimal SLE. Data were reduced with a factor analysis. Using a reduced set of 13 variables, multinomial logistic regression models estimated the probability of Minimal, Type 1, Type 2, and Mixed SLE classification.ResultsThe study included 208 patients with SLE. The model accurately predicted the clinician-based Type 1 and 2 SLE classification in 63% of patients; 73% of patients had their Type 1 SLE activity accurately predicted; and 83% had their Type 2 SLE activity accurately predicted. Performance varied by group: 87% of Minimal patients were correctly predicted to be in the Minimal SLE group, yet only about one-third of patients in the Type 1 group were correctly predicted to be in the Type 1 group.ConclusionsOur findings indicate Type 2 SLE activity can be identified by patient-reported data. The use of PROs was not as accurate at predicting Type 1 activity. These findings highlight the challenges of using PROs to categorize and classify SLE symptoms since some manifestations of Type 1 activity (e.g., nephritis) may be essentially clinically silent while other Type 1 manifestations may cause severe symptoms.

Project description:BackgroundSystemic lupus erythematosus (SLE) may result in great impact on patients' quality of life, social relationships, and work productivity. The use of patient-reported outcome measures (PROMs) in routine care could help capture disease burden to guide SLE management and optimize disease control. We aimed to explore the current situation, appropriateness, and feasibility of PROMs to monitor patients with SLE in routine care, from healthcare professionals' and patients' perspectives.MethodsA scientific committee developed a Delphi questionnaire, based on a focus group with patients and a literature review, including 22 statements concerning: 1) Use of PROMs in routine care (n = 2); 2) PROMs in SLE management (n = 13); 3) Multidisciplinary management of patients with SLE (n = 4), and 4) Aspects on patient empowerment (n = 3). Statements included in Sects. 2-4 were assessed from three perspectives: current use, appropriateness, and feasibility (with currently available resources). For each statement, panellists specified their level of agreement using a 7-point Likert scale. A consensus was reached when ≥ 70% of the panellists agreed (6,7) or disagreed (1,2) on each statement.ResultsFifty-nine healthcare professionals and 16 patients with SLE participated in the Delphi-rounds. A consensus was reached on the value of PROMs to improve SLE management (83%) and the key role of healthcare professionals (77%) and the need for a digital tool connected to the electronic medical record (85%) to promote and facilitate PROMs collection. PROMs most frequently used in clinical practice are pain (56%), patient's global assessment (44%) and fatigue (39%), all on visual analogue scales. Panellists agreed on the need to implement multidisciplinary consultation (79%), unify complementary tests (88%), incorporate pharmacists into the healthcare team (70%), and develop home medication dispensing and informed telepharmacy programmes (72%) to improve quality of care in patients with SLE. According to panellists, patient associations (82%) and nurses (80%) are critical to educate and train patients on PROMs to enhance patient empowerment.ConclusionsAlthough pain, fatigue, and global assessment were identified as the most feasible, PROMs are not widely used in routine care in Spain. The present Delphi consensus can provide a road map for their implementation being key for SLE management.

Project description:IntroductionFatigue is one of the most important symptoms reported by patients with systemic lupus erythematosus (SLE) and a key concept of interest in SLE clinical trials. Despite this, fatigue remains poorly understood and sub-optimally measured by existing patient-reported outcome (PRO) instruments and scales. Here, we psychometrically evaluated the measurement properties of three PRO scales that purport to measure fatigue, using data from two SLE clinical trials.MethodsData were pooled from two completed phase 3 SLE trials: EMBODY1 (NCT01262365) and EMBODY2 (NCT01261793). FACIT-F, SF-36 Vitality and LupusQoL Fatigue data were selected for post hoc Rasch Measurement Theory psychometric analysis in two stages: (1) scale-to-sample targeting, thresholds for item response options, item fit statistics, and reliability; and (2) proposal and evaluation of pooled fatigue items based on the best-performing items. Responsiveness analyses on group-level (two effect size [ES] calculations and relative efficiency) and individual level (within person statistically significant difference), were conducted to compare original scales and pooled item sets.ResultsScale-to-sample targeting was good for FACIT-F, but suboptimal for SF-36 Vitality and LupusQoL Fatigue. Thresholds for item response options were ordered for all three scales. Item misfit was found in all three scales (FACIT-F 10/13; SF-36 Vitality 4/4; LupusQoL Fatigue 1/4). Reliability statistics were good for FACIT-F (0.93) and LupusQoL Fatigue (0.80) but low for SF-36 Vitality (0.53). The pooled fatigue items improved some psychometric properties despite persisting misfit issues (2/10) and were more sensitive in detecting change at week 24 compared with un-pooled data (ES 0.41 vs. 0.26-0.25).ConclusionsFACIT-F, SF-36 Vitality, and LupusQoL Fatigue were found to have important limitations in the EMBODY1 and EMBODY2 SLE clinical trials. Findings from pooled fatigue items support the need for further research to improve conceptual underpinnings of fatigue PROs and make them fit for purpose for drug development.

Dataset Information

The FATIGUE-PRO: a new patient-reported outcome instrument to quantify fatigue in patients affected by systemic lupus erythematosus.

Objectives

Methods

Results

Conclusion

Trial registration

Publications

The FATIGUE-PRO: a new patient-reported outcome instrument to quantify fatigue in patients affected by systemic lupus erythematosus.

Similar Datasets

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