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Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study

OBJECTIVES: This study investigates the reporting of health-related quality of life (HRQoL) in patients following hip fracture. We compare the relative merits and make recommendations for the use for two methods of measuring HRQoL; (i) including patients who died during follow-up and (ii) including...

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Autores principales: Parsons, N., Griffin, X. L., Achten, J., Chesser, T. J., Lamb, S. E., Costa, M. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Hip
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805834/
https://www.ncbi.nlm.nih.gov/pubmed/29292297
http://dx.doi.org/10.1302/2046-3758.71.BJR-2017-0199
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author Parsons, N.
Griffin, X. L.
Achten, J.
Chesser, T. J.
Lamb, S. E.
Costa, M. L.
author_facet Parsons, N.
Griffin, X. L.
Achten, J.
Chesser, T. J.
Lamb, S. E.
Costa, M. L.
author_sort Parsons, N.
collection PubMed
description OBJECTIVES: This study investigates the reporting of health-related quality of life (HRQoL) in patients following hip fracture. We compare the relative merits and make recommendations for the use for two methods of measuring HRQoL; (i) including patients who died during follow-up and (ii) including survivors only. METHODS: The World Hip Trauma Evaluation has previously reported changes in HRQoL using EuroQol-5D for patients with hip fractures. We performed additional analysis to investigate the effect of including or excluding those patients who died during the first four months of the follow-up period. RESULTS: The dataset included 503 patients, 25 of whom died between 30 days and four months of injury. There was a statistically significant difference in 30-day HRQoL between those alive (mean 0.331 and standard deviation (sd) 0.360) and those dead (mean 0.156 and sd 0.421) by four months (independent-samples t-test; p 0.022). The estimated difference of 0.175 in HRQoL (95% confidence interval 0.025 to 0.325) was also highly clinically significant. CONCLUSION: When reporting HRQoL for patients after a hip fracture, excluding patients who die during follow-up leads to an overestimate of the effects of the intervention or treatment pathway. We would recommend that death-adjusted estimates should be used routinely when reporting HRQoL in this population. Cite this article: N. Parsons, X. L. Griffin, J. Achten, T. J. Chesser, S. E. Lamb, M. L. Costa. Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study. Bone Joint Res 2018;7:1–5.
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spelling pubmed-58058342018-02-13 Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study Parsons, N. Griffin, X. L. Achten, J. Chesser, T. J. Lamb, S. E. Costa, M. L. Bone Joint Res Hip OBJECTIVES: This study investigates the reporting of health-related quality of life (HRQoL) in patients following hip fracture. We compare the relative merits and make recommendations for the use for two methods of measuring HRQoL; (i) including patients who died during follow-up and (ii) including survivors only. METHODS: The World Hip Trauma Evaluation has previously reported changes in HRQoL using EuroQol-5D for patients with hip fractures. We performed additional analysis to investigate the effect of including or excluding those patients who died during the first four months of the follow-up period. RESULTS: The dataset included 503 patients, 25 of whom died between 30 days and four months of injury. There was a statistically significant difference in 30-day HRQoL between those alive (mean 0.331 and standard deviation (sd) 0.360) and those dead (mean 0.156 and sd 0.421) by four months (independent-samples t-test; p 0.022). The estimated difference of 0.175 in HRQoL (95% confidence interval 0.025 to 0.325) was also highly clinically significant. CONCLUSION: When reporting HRQoL for patients after a hip fracture, excluding patients who die during follow-up leads to an overestimate of the effects of the intervention or treatment pathway. We would recommend that death-adjusted estimates should be used routinely when reporting HRQoL in this population. Cite this article: N. Parsons, X. L. Griffin, J. Achten, T. J. Chesser, S. E. Lamb, M. L. Costa. Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study. Bone Joint Res 2018;7:1–5. 2018-02-08 /pmc/articles/PMC5805834/ /pubmed/29292297 http://dx.doi.org/10.1302/2046-3758.71.BJR-2017-0199 Text en © 2018 Parsons et al. This is an open-access article distributed under the terms of the Creative Commons Attributions licence (CC-BY-NC), which permits unrestricted use, distribution, and reproduction in any medium, but not for commercial gain, provided the original author and source are credited.
spellingShingle Hip
Parsons, N.
Griffin, X. L.
Achten, J.
Chesser, T. J.
Lamb, S. E.
Costa, M. L.
Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study
title Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study
title_full Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study
title_fullStr Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study
title_full_unstemmed Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study
title_short Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study
title_sort modelling and estimation of health-related quality of life after hip fracture: a re-analysis of data from a prospective cohort study
topic Hip
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805834/
https://www.ncbi.nlm.nih.gov/pubmed/29292297
http://dx.doi.org/10.1302/2046-3758.71.BJR-2017-0199
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