Imputation of SF-12 Health Scores for Respondents with Partially Missing Data
| Autor: | Liu, H, Hays, RD, Adams, JL, Chen, WP, Tisnado, D, Mangione, CM, Damberg, CL, Kahn, KL |
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| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: |
Adult
Male Data Interpretation Policy and Administration SF-12 health survey imputation Comorbidity Cohort Studies health related quality of life Methods Health Status Indicators Humans Aged Quality of Health Care validation Data Collection Statistical Middle Aged Data Interpretation Statistical Chronic Disease Health Policy & Services Public Health and Health Services Quality of Life Group Practice Female Algorithms |
| Zdroj: | Health services research, vol 40, iss 3 Liu, H; Hays, RD; Adams, JL; Chen, WP; Tisnado, D; Mangione, CM; et al.(2005). Imputation of SF-12 health scores for respondents with partially missing data. Health Services Research, 40(3), 905-921. doi: 10.1111/j.1475-6773.2005.00391.x. UCLA: Retrieved from: http://www.escholarship.org/uc/item/2v5559n2 |
| Popis: | ObjectiveTo create an efficient imputation algorithm for imputing the SF-12 physical component summary (PCS) and mental component summary (MCS) scores when patients have one to eleven SF-12 items missing.Study settingPrimary data collection was performed between 1996 and 1998.Study designMulti-pattern regression was conducted to impute the scores using only available SF-12 items (simple model), and then supplemented by demographics, smoking status and comorbidity (enhanced model) to increase the accuracy. A cut point of missing SF-12 items was determined for using the simple or the enhanced model. The algorithm was validated through simulation.Data collectionThirty-thousand-three-hundred and eight patients from 63 physician groups were surveyed for a quality of care study in 1996, which collected the SF-12 and other information. The patients were classified as "chronic" patients if they reported that they had diabetes, heart disease, asthma/chronic obstructive pulmonary disease, or low back pain. A follow-up survey was conducted in 1998.Principal findingsThirty-one percent of the patients missed at least one SF-12 item. Means of variance of prediction and standard errors of the mean imputed scores increased with the number of missing SF-12 items. Correlations between the observed and the imputed scores derived from the enhanced models were consistently higher than those derived from the simple model and the increments were significant for patients with > or =6 missing SF-12 items (p or =6 items missing, leading to estimated scores that are as accurate as that of patients with |
| Databáze: | OpenAIRE |
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