12 research outputs found
Standardizing disease-specific quality of life measures across multiple chronic conditions: development and initial evaluation of the QOL Disease Impact Scale (QDIS®)
Loss of interest, depressed mood and impact on the quality of life: Cross-sectional survey
Measuring health-related quality of life in patients with conservatively managed stage 5 chronic kidney disease: limitations of the Medical Outcomes Study Short Form 36: SF-36
Testing item response theory invariance of the standardized Quality-of-life Disease Impact Scale (QDIS®) in acute coronary syndrome patients: differential functioning of items and test
Measures of Functional Status in Community-Dwelling Elders
OBJECTIVE: To evaluate two performance-based measures of functional status and assess their correlation with self-report measures. DESIGN: Cross-sectional study. PARTICIPANTS: Of the 363 community-dwelling elders enrolled in a trial of comprehensive geriatric assessment who participated, all had at least one of four target conditions (urinary incontinence, depression, impaired functional status, or history of falling). MEASUREMENTS: Two performance-based measures, National Institute on Aging (NIA) Battery, and Physical Performance Test (PPT), and three self-report functional status measures, basic and intermediate activities of daily living and the Short-Form-36 (SF–36) physical functioning subscale, were used. Measures of restricted activity days, patient satisfaction and perceived efficacy were also used. MAIN RESULTS: All measures were internally consistent. There was a high correlation between the NIA and PPT (κ = 0.71), while correlations between the performance-based and self-report measures ranged from 0.37 to 0.50. When patients with values above the median on the two performance-based measures were compared with those below, there were significant differences (p≤ .0001) for age, number of medications, and the physical function, pain, general health, and physical role function SF-36 subscales. CONCLUSIONS: Performance-based measures correlated highly with each other and moderately with questionnaire-based measures. Performance-based measures also had construct validity and did not suffer from floor or ceiling effects
The Long-term Effects of Progressive Resistance Training on Health-related Quality in Older Adults
The challenge of measuring intra-individual change in fatigue during cancer treatment
PURPOSE: Evaluate how well three different patient-reported outcomes (PROs) measure individual change. METHODS: 214 patients (from two sites) initiating first or new chemotherapy for any stage of breast or gastrointestinal cancer participated. The 13-item FACIT–Fatigue scale, a 7-item PROMIS(®) Fatigue Short-Form (PROMIS 7a), and the PROMIS(®) Fatigue computer adaptive test (CAT) were administered monthly online for six months. Reliability of measured change was defined, under a population mixed effects model, as the ratio of estimated systematic variance in rate-of-change to the estimated total variance of measured individual differences in rate-of-change. Precision of individual measured change, the standard error of measurement (SEM) of change, was given by the square root of the rate-of-change sampling variance. Linear and quadratic models were examined up to 3 and up to 6 months. RESULTS: A linear model for the reliability of measured change showed the following by 6 and by 3 months, respectively: PROMIS CAT (0.363 and 0.342); PROMIS SF (0.408 and 0.533); FACIT (0.459 and 0.473). Quadratic models offered no noteworthy improvement over linear models. Both reliability and precision results demonstrate the need to improve the measurement of intra-individual change. CONCLUSIONS: These results illustrate the challenge of reliably measuring individual change in fatigue with a level of confidence required for intervention. Optimizing clinically useful measurement of intra-individual differences over time continues to pose a challenge for PROs