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Estimation of Non-Response Bias in the Medicare FFS HOS
We examined non-response bias in physical component summary scores (PCS) and mental component summary scores (MCS) in the Medicare fee-for-service (FFS) Health Outcomes Survey (HOS) using two alternative methods, response propensity weighting and imputation for non-respondents. The two approaches ga...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CENTERS for MEDICARE & MEDICAID SERVICES
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194889/ https://www.ncbi.nlm.nih.gov/pubmed/15493442 |
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author | McCall, Nancy Khatutsky, Galina Smith, Kevin Pope, Gregory C. |
author_facet | McCall, Nancy Khatutsky, Galina Smith, Kevin Pope, Gregory C. |
author_sort | McCall, Nancy |
collection | PubMed |
description | We examined non-response bias in physical component summary scores (PCS) and mental component summary scores (MCS) in the Medicare fee-for-service (FFS) Health Outcomes Survey (HOS) using two alternative methods, response propensity weighting and imputation for non-respondents. The two approaches gave nearly identical estimates of non-response bias. PCS scores were 0.74 points lower and MCS scores 0.51 points lower after adjustment for non-response through imputation and 0.63 and 0.46 lower after adjustment for propensity weighting. These levels are small for component scores suggesting that survey non-response to the FFS HOS does not adversely affect estimates of average health status for this population. |
format | Online Article Text |
id | pubmed-4194889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | CENTERS for MEDICARE & MEDICAID SERVICES |
record_format | MEDLINE/PubMed |
spelling | pubmed-41948892014-11-04 Estimation of Non-Response Bias in the Medicare FFS HOS McCall, Nancy Khatutsky, Galina Smith, Kevin Pope, Gregory C. Health Care Financ Rev Research Article We examined non-response bias in physical component summary scores (PCS) and mental component summary scores (MCS) in the Medicare fee-for-service (FFS) Health Outcomes Survey (HOS) using two alternative methods, response propensity weighting and imputation for non-respondents. The two approaches gave nearly identical estimates of non-response bias. PCS scores were 0.74 points lower and MCS scores 0.51 points lower after adjustment for non-response through imputation and 0.63 and 0.46 lower after adjustment for propensity weighting. These levels are small for component scores suggesting that survey non-response to the FFS HOS does not adversely affect estimates of average health status for this population. CENTERS for MEDICARE & MEDICAID SERVICES 2004 /pmc/articles/PMC4194889/ /pubmed/15493442 Text en |
spellingShingle | Research Article McCall, Nancy Khatutsky, Galina Smith, Kevin Pope, Gregory C. Estimation of Non-Response Bias in the Medicare FFS HOS |
title | Estimation of Non-Response Bias in the Medicare FFS HOS |
title_full | Estimation of Non-Response Bias in the Medicare FFS HOS |
title_fullStr | Estimation of Non-Response Bias in the Medicare FFS HOS |
title_full_unstemmed | Estimation of Non-Response Bias in the Medicare FFS HOS |
title_short | Estimation of Non-Response Bias in the Medicare FFS HOS |
title_sort | estimation of non-response bias in the medicare ffs hos |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194889/ https://www.ncbi.nlm.nih.gov/pubmed/15493442 |
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