Dataset Information

Measurement properties of physical function scales validated for use in patients with rheumatoid arthritis: a systematic review of the literature.

ABSTRACT:

Background

The aim of this study was to systematically review the content validity and measurement properties of all physical function (PF) scales which are currently validated for use with patients with rheumatoid arthritis (RA).

Methods

Systematic literature searches were performed in the Scopus and PubMed databases to identify articles on the development or psychometric evaluation of PF scales for patients with RA. The content validity of included scales was evaluated by linking their items to the International Classification of Functioning Disability and Health (ICF). Furthermore, available evidence of the reliability, validity, responsiveness, and interpretability of the included scales was rated according to published quality criteria.

Results

The search identified 26 questionnaires with PF scales. Ten questionnaires were rated to have adequate content validity. Construct validity, internal consistency, test-retest reliability and responsiveness was rated favourably for respectively 15, 11, 5, and 6 of the investigated scales. Information about the absolute measurement error and minimal important change scores were rarely reported.

Conclusion

Based on this literature review, the disease-specificHAQ and the generic SF-36 can currently be most confidently recommended to measure PF in RA for most research purposes. The HAQ, however, was frequently associated with considerable ceiling effects while the SF-36 has limited content coverage. Alternative scales that might be better suited for specific research purposes are identified along with future directions for research.

SUBMITTER: Oude Voshaar MA

PROVIDER: S-EPMC3221621 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature

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Publications

Measurement properties of physical function scales validated for use in patients with rheumatoid arthritis: a systematic review of the literature.

Oude Voshaar Martijn A H MA ten Klooster Peter M PM Taal Erik E van de Laar Mart A F J MA

Health and quality of life outcomes 20111107

<h4>Background</h4>The aim of this study was to systematically review the content validity and measurement properties of all physical function (PF) scales which are currently validated for use with patients with rheumatoid arthritis (RA).<h4>Methods</h4>Systematic literature searches were performed in the Scopus and PubMed databases to identify articles on the development or psychometric evaluation of PF scales for patients with RA. The content validity of included scales was evaluated by linkin ...[more]

PMID: 22059801

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Project description:Background/Purpose: Prior studies show an independent association between greater physical activity and lower inflammatory markers among adults in the general population, but the impact of physical activity on systemic inflammation in people with rheumatoid arthritis (RA) hasn’t been thoroughly investigated. We therefore aimed to determine whether physical activity behavior associates with differential expression of inflammatory genes in RA. Methods: Data derive from baseline assessments for a prospective observational cohort of patients with RA. At each study visit, we obtained detailed clinical information, collected peripheral whole blood for subsequent RNA sequencing (RNA-seq), and provided participants with actigraphs (GT9X ActiGraph Link device) to objectively measure physical activity by wearing the device at home for 7 consecutive 24-hour periods. Participants were categorized into three physical activity groups based on the highest (“active”), middle (“intermediate”), and lowest (“inactive”) tertiles for percentage of time spent in moderate/vigorous physical activity (metabolic equivalent (MET) level ≥2.00) across the sample. Results: There were 35 patients with complete clinical, actigraphy, and transcriptomic data available for analysis. The participants had a mean age of 56 years, were 90% female, and self-reported the following racial/ethnic identities: 32% white, 11% African American, 8% Asian, 40% Hispanic. Participants spent 48%, 41%, and 12% of time awake in sedentary, light, and moderate physical activity, respectively. None of the participants achieved vigorous activity. The patients in the most active group were younger but did not otherwise significantly differ by clinical and demographic characteristics compared to the other physical activity groups. However, in the differential gene expression analysis comparing the highest versus lowest physical activity tertiles, there were 365 up- and 402 down-regulated genes at an adjusted P value < 0.1. Gene set enrichment analysis revealed that the most physically active patients exhibited downregulation of diverse innate and adaptive immune signaling pathways. Assessment of upstream cytokine activation states demonstrated inhibition of type I, II and III interferons and activation of EPO in the highest physical activity tertile patients. Conclusion: Among a racially and ethnically diverse RA cohort, participants who spent more time in moderately intense physical activity had down-regulation of genes involved in both innate and adaptive immune signaling compared to those who were more sedentary. These findings provide mechanistic evidence to support a disease-modifying effect of physical activity in RA.

Project description:BackgroundDigital biomarkers that measure physical activity and mobility are of great interest in the assessment of chronic diseases such as rheumatoid arthritis, as it provides insights on patients' quality of life that can be reliably compared across a whole population.ObjectiveTo investigate the feasibility of analyzing iPhone sensor data collected remotely by means of a mobile software application in order to derive meaningful information on functional ability in rheumatoid arthritis patients.MethodsTwo objective, active tasks were made available to the study participants: a wrist joint motion test and a walk test, both performed remotely and without any medical supervision. During these tasks, gyroscope and accelerometer time-series data were captured. Processing schemes were developed using machine learning techniques such as logistic regression as well as explicitly programmed algorithms to assess data quality in both tasks. Motion-specific features including wrist joint range of motion (ROM) in flexion-extension (for the wrist motion test) and gait parameters (for the walk test) were extracted from high quality data and compared with subjective pain and mobility parameters, separately captured via the application.ResultsOut of 646 wrist joint motion samples collected, 289 (45%) were high quality. Data collected for the walk test included 2,583 samples (through 867 executions of the test) from which 651 (25%) were high quality. Further analysis of high-quality data highlighted links between reduced mobility and increased symptom severity. ANOVA testing showed statistically significant differences in wrist joint ROM between groups with light-moderate (220 participants) versus severe (36 participants) wrist pain (p < 0.001) as well as in average step times between groups with slight versus moderate problems walking about (p < 0.03).ConclusionThese findings demonstrate the potential to capture and quantify meaningful objective clinical information remotely using iPhone sensors and represent an early step towards the development of patient-centric digital endpoints for clinical trials in rheumatoid arthritis.

Project description:BackgroundRheumatoid arthritis (RA) is characterized by recurrent fluctuations in symptoms such as joint pain, swelling, and stiffness. Remote measurement technologies (RMTs) offer the opportunity to track symptoms continuously and in real time; therefore, they may provide a more accurate picture of RA disease activity as a complement to prescheduled general practitioner appointments. Previous research has shown patient interest in remote symptom tracking in RA and has provided evidence for its clinical validity. However, there is a lack of co-design in the current development of systems, and the features of RMTs that best promote optimal engagement remain unclear.ObjectiveThis study represents the first in a series of work that aims to develop a multiparametric RMT system for symptom tracking in RA. The objective of this study is to determine the important outcomes for disease management in patients with RA and how these can be best captured via remote measurement.MethodsA total of 9 patients (aged 23-77 years; mean 55.78, SD 17.54) with RA were recruited from King's College Hospital to participate in two semistructured focus groups. Both focus group discussions were conducted by a facilitator and a lived-experience researcher. The sessions were recorded, transcribed, independently coded, and analyzed for themes.ResultsThematic analysis identified a total of four overarching themes: important symptoms and outcomes in RA, management of RA symptoms, views on the current health care system, and views on the use of RMTs in RA. Mobility and pain were key symptoms to consider for symptom tracking as well as symptom triggers. There is a general consensus that the ability to track fluctuations and transmit such data to clinicians would aid in individual symptom management and the effectiveness of clinical care. Suggestions for visually capturing symptom fluctuations in an app were proposed.ConclusionsThe findings support previous work on the acceptability of RMT with RA disease management and address key outcomes for integration into a remote monitoring system for RA self-management and clinical care. Clear recommendations for RMT design are proposed. Future work will aim to take these recommendations into a user testing phase.

Dataset Information

Measurement properties of physical function scales validated for use in patients with rheumatoid arthritis: a systematic review of the literature.

Background

Methods

Results

Conclusion

Publications

Measurement properties of physical function scales validated for use in patients with rheumatoid arthritis: a systematic review of the literature.

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