The validity and reliability of the Turkish version of the Arthritis Impact Measurement Scale 2-Short Form (AIMS2-SF) for rheumatoid arthritis.
Canan Sanal-ToprakÇağrı Ünal UlutatarEvrim DuruözNuran OzMehmet Tuncay DuruözPublished in: Rheumatology international (2022)
The objective of this study is to investigate the validity and reliability of the Turkish version of the Arthritis Impact Measurement Scale 2-Short Form (AIMS2-SF). Subjects fulfilling the ACR 2010 classification criteria for RA were enrolled into the study. Scale reliability was investigated using test-retest reliability (intra-class correlation coefficient-ICC) and internal consistency approaches (Cronbach's α). Spearman's rank correlation coefficients evaluated relationships between quantitative parameters and validity. Construct validity was assessed by correlating AIMS2-SF with clinical parameters and functional parameters including, Nottingham Health Profile (NHP), Health Assessment Questionnaire (HAQ), Beck Depression Inventory (BDI) and Duruöz Hand Index (DHI). One hundred and sixteen patients (105 females and 11 males) were recruited. The mean age ± standard deviation (SD) was 52.45 ± 11.48 years. Cronbach's α was 0.88 and the ICC was 0.91. There were significant correlations (rho and p values) with parameters directly related to health-related quality of life (HRQoL); NHP subscales (energy levels: 0.54, pain: 0.62, emotional reaction: 0.50, sleep 0.44, social interaction: 0.51, physical activity: 0.61; p < 0.0005), HAQ (0.60, p < 0.0005), BDI (0.63, p < 0.001) and DHI (0.63, p < 0.0005). Poor or non-significant correlations were found for parameters not directly related to QoL, such as age (0.07, p = 0.45) and disease duration (0.12, p = 0.21); however, disease activity (0.43, p < 0.0005) and NRS pain (0.46, p < 0.0005) were correlated with AIMS2-SF as moderate. The Turkish AIMS2-SF version is a reliable and valid tool that may be used to evaluate QoL for RA. The scale can be easily used in daily practice.
Keyphrases
- rheumatoid arthritis
- disease activity
- physical activity
- psychometric properties
- healthcare
- ankylosing spondylitis
- systemic lupus erythematosus
- chronic pain
- public health
- mental health
- rheumatoid arthritis patients
- interstitial lung disease
- pain management
- sleep quality
- primary care
- machine learning
- computed tomography
- prognostic factors
- ejection fraction
- cross sectional
- health information
- neuropathic pain
- newly diagnosed
- body mass index
- risk assessment
- magnetic resonance imaging
- depressive symptoms
- high resolution
- deep learning
- high speed
- mass spectrometry