Articles: pain-measurement.
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Multicenter Study Comparative Study Observational Study
Mapping health assessment questionnaire disability index (HAQ-DI) score, pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) onto the EuroQol-5D (EQ-5D) utility score with the KORean Observational study Network for Arthritis (KORONA) registry data.
The aim of this study was to estimate the mapping model for EuroQol-5D (EQ-5D) utility values using the health assessment questionnaire disability index (HAQ-DI), pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) in a large, nationwide cohort of rheumatoid arthritis (RA) patients in Korea. The KORean Observational study Network for Arthritis (KORONA) registry data on 3557 patients with RA were used. Data were randomly divided into a modeling set (80 % of the data) and a validation set (20 % of the data). ⋯ The mapping equation of the OLS method is given as EQ-5D = 0.95-0.21 × HAQ-DI-0.24 × pain VAS/100-0.01 × DAS28 (adjusted R (2) = 57.6 %, RMSE = 0.1654 and MAE = 0.1222). Also in the validation set, the RMSE and MAE were shown to be the smallest. The model with HAQ-DI, pain VAS, and DAS28 showed the best performance, and this mapping model enabled the estimation of an EQ-5D value for RA patients in whom utility values have not been measured.
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Several self-report measures were used to identify 6 activity patterns in chronic pain patients: pain avoidance, activity avoidance, task-contingent persistence, excessive persistence, pain-contingent persistence, and pacing. Instruments for assessing pacing should include 3 pacing behaviors (breaking tasks into smaller tasks, taking frequent short rests, slowing down), each of which relate to a single goal (increasing activity levels, conserving energy for valued activities, and reducing pain). This article presents the Activity Patterns Scale (APS), which assesses these 6 activity patterns. Study 1 included 291 participants with chronic pain, and tested 3 structures using confirmatory factor analyses. The structure with the best fit had 8 factors corresponding to the hypothesized scales. High correlations in the expected direction were found between the APS subscales and the "Patterns of Activity Measure-Pain." Study 2 included 111 patients with chronic pain, and aimed at examining the association between the APS subscales and adjustment to pain. It was found that that activity avoidance was associated with daily functioning and impairment. Negative affect was positively associated with activity avoidance and excessive persistence, and negatively associated with task-contingent persistence, which was also positively associated with positive affect. This study showed that the APS is a valid and reliable instrument for clinical practice and research. ⋯ This article presents a valid and reliable instrument to assess activity patterns in patients with chronic pain. The findings suggest that avoidance, persistence, and pacing are multidimensional constructs. Distinguishing between these dimensions sheds light on previous contradictory results and has direct clinical implications regarding recommending the most advisable activity patterns.
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Objectives were to determine at completion of a multidisciplinary pain program: 1) what percentage of chronic low back pain (CLBP) patients had improved at 30% or more (minimal clinically important difference [MCID]) and by 1.5 cm or more (minimal important change [MIC]) on the visual analog scale (VAS) and 2) whether that improvement is associated with pain matching (PM), pain threshold (PTRE), and pain tolerance (PTOL) improvements. ⋯ A significant percentage of CLBP patients were at MCID and at MIC at completion of multidisciplinary treatment. PM was associated with overall VAS improvement, while PTRE and PM were associated with MCID.
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Research on nursing students' pain knowledge and attitudes is limited. Although emotions play a role in pain assessment, no study has examined the associations between emotional intelligence and pain knowledge and the attitudes of nursing students. This cross-sectional quantitative study aimed to address this research gap by assessing the pain knowledge and attitudes of nursing students in Hong Kong and examining associations between emotional intelligence and the pain knowledge and attitudes of nursing students. ⋯ For Year 3 students, emotional intelligence, pain knowledge and attitudes were negatively correlated, but the correlation was significant (r = -.31, p = .02). These results suggest that nursing students' pain knowledge and attitudes could be improved. Implications for nurse educators to enhance emotional intelligence and pain education for nursing students are discussed.
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To determine the relationship between chronic pain patients' responses to self-report measures of pain intensity, and self-reported strategies when completing such measures. ⋯ (1) Chronic pain patients' elicited beliefs and strategies concerning how they complete pain intensity questionnaires are sometimes, but not invariably, reflected in their responses to these measures. Thus, purely qualitative methodologies alone cannot provide completely reliable information and point to the need to use a "mixed methods" approach combining both qualitative and quantitative data; (2) the lack of association between pain intensity measures and interference with activities of daily living, as well as relative insensitivity to different etiologies underlines the problem in relying on pain intensity measures as the primary means of evaluating the success of a treatment, either for pain management or in clinical research.