TY - ABST

T1 - Comparison of Two Methods for Estimation of Work Limitation Scores from Health Status Measures

AU - Anatchkova, M

AU - Fang, H

AU - Kini, N

AU - Ware, J

AU - Bjorner, J B

N1 - Conference code: 18

PY - 2015/11

Y1 - 2015/11

N2 - ObjectivesTo compare two methods for estimation of Work Limitations Questionnaire scores (WLQ, 8 items) from the Role Physical (RP, 4 items) and Role Emotional scales (RE, 3 items) of the SF-36 Health survey. These measures assess limitations in role performance attributed to health (emotional, physical, or both) and different breadth of impact (work vs. work and other activities). We compared WLQ estimates based on an item response theory crosswalk (Method1) and a regression imputation (Method 2). Such estimates can expand the information from studies using only the SF-36 measure, and can inform future data collection strategies.MethodsWe used data from two independent cross-sectional panel samples (Sample1, n=1382, 51% female, 72% Caucasian, 49% with preselected chronic conditions, 15% with fair/poor health; Sample2, n=301, 45% female, 90% Caucasian, 47% with preselected chronic conditions, 21% with fair/poor health). Method 1 used previously developed and validated IRT based calibration tables. Method 2 used regression models to develop aggregate imputation weights as described in the literature. We evaluated the agreement of observed and estimated WLQ scale scores from the two methods and their ability to discriminate among known groups of patients.ResultsEstimated scores from the two methods were strongly correlated (r=.99). Estimated and observed scale scores had strong correlations (r= .68 for RE and r=.76 for RP). Observed and estimated WLQ from both methods successfully differentiated between levels of self reported general health and between patients with and without chronic conditions. For both methods the estimated WLQ means from SF36RP score were closer (and not statistically different for Method1) to the observed WLQ means than estimated WLQ scores from the SF36 RE scale.ConclusionsOur results suggest that both methods provide useful WLQ estimates for group level analysis. Method 1 appears slightly more accurate than Method 2, but is computationally more complex.

AB - ObjectivesTo compare two methods for estimation of Work Limitations Questionnaire scores (WLQ, 8 items) from the Role Physical (RP, 4 items) and Role Emotional scales (RE, 3 items) of the SF-36 Health survey. These measures assess limitations in role performance attributed to health (emotional, physical, or both) and different breadth of impact (work vs. work and other activities). We compared WLQ estimates based on an item response theory crosswalk (Method1) and a regression imputation (Method 2). Such estimates can expand the information from studies using only the SF-36 measure, and can inform future data collection strategies.MethodsWe used data from two independent cross-sectional panel samples (Sample1, n=1382, 51% female, 72% Caucasian, 49% with preselected chronic conditions, 15% with fair/poor health; Sample2, n=301, 45% female, 90% Caucasian, 47% with preselected chronic conditions, 21% with fair/poor health). Method 1 used previously developed and validated IRT based calibration tables. Method 2 used regression models to develop aggregate imputation weights as described in the literature. We evaluated the agreement of observed and estimated WLQ scale scores from the two methods and their ability to discriminate among known groups of patients.ResultsEstimated scores from the two methods were strongly correlated (r=.99). Estimated and observed scale scores had strong correlations (r= .68 for RE and r=.76 for RP). Observed and estimated WLQ from both methods successfully differentiated between levels of self reported general health and between patients with and without chronic conditions. For both methods the estimated WLQ means from SF36RP score were closer (and not statistically different for Method1) to the observed WLQ means than estimated WLQ scores from the SF36 RE scale.ConclusionsOur results suggest that both methods provide useful WLQ estimates for group level analysis. Method 1 appears slightly more accurate than Method 2, but is computationally more complex.

U2 - 10.1016/j.jval.2015.09.2667

DO - 10.1016/j.jval.2015.09.2667

M3 - Conference abstract in journal

C2 - 26533973

VL - 18

SP - A709

JO - Value in Health

JF - Value in Health

SN - 1098-3015

IS - 7

T2 - ISPOR 18th Annual European Congress

Y2 - 7 November 2015 through 11 November 2015

ER -