Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS)

Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Conseque...
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Autor*in:	Barlow, Tim [verfasserIn] Dunbar, Mark Sprowson, Andrew Parsons, Nick Griffin, Damian

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Total knee replacement Patient factors Outcome prediction tool

Anmerkung:	© Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: BMC musculoskeletal disorders - London : BioMed Central, 2000, 15(2014), 1 vom: 23. Dez.
Übergeordnetes Werk:	volume:15 ; year:2014 ; number:1 ; day:23 ; month:12

Links:	Volltext

DOI / URN:	10.1186/1471-2474-15-451

Katalog-ID:	SPR028030567

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allfields	10.1186/1471-2474-15-451 doi (DE-627)SPR028030567 (SPR)1471-2474-15-451-e DE-627 ger DE-627 rakwb eng Barlow, Tim verfasserin aut Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. Total knee replacement (dpeaa)DE-He213 Patient factors (dpeaa)DE-He213 Outcome prediction tool (dpeaa)DE-He213 Dunbar, Mark aut Sprowson, Andrew aut Parsons, Nick aut Griffin, Damian aut Enthalten in BMC musculoskeletal disorders London : BioMed Central, 2000 15(2014), 1 vom: 23. Dez. (DE-627)326643745 (DE-600)2041355-5 1471-2474 nnns volume:15 year:2014 number:1 day:23 month:12 https://dx.doi.org/10.1186/1471-2474-15-451 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2014 1 23 12
spelling	10.1186/1471-2474-15-451 doi (DE-627)SPR028030567 (SPR)1471-2474-15-451-e DE-627 ger DE-627 rakwb eng Barlow, Tim verfasserin aut Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. Total knee replacement (dpeaa)DE-He213 Patient factors (dpeaa)DE-He213 Outcome prediction tool (dpeaa)DE-He213 Dunbar, Mark aut Sprowson, Andrew aut Parsons, Nick aut Griffin, Damian aut Enthalten in BMC musculoskeletal disorders London : BioMed Central, 2000 15(2014), 1 vom: 23. Dez. (DE-627)326643745 (DE-600)2041355-5 1471-2474 nnns volume:15 year:2014 number:1 day:23 month:12 https://dx.doi.org/10.1186/1471-2474-15-451 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2014 1 23 12
allfields_unstemmed	10.1186/1471-2474-15-451 doi (DE-627)SPR028030567 (SPR)1471-2474-15-451-e DE-627 ger DE-627 rakwb eng Barlow, Tim verfasserin aut Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. Total knee replacement (dpeaa)DE-He213 Patient factors (dpeaa)DE-He213 Outcome prediction tool (dpeaa)DE-He213 Dunbar, Mark aut Sprowson, Andrew aut Parsons, Nick aut Griffin, Damian aut Enthalten in BMC musculoskeletal disorders London : BioMed Central, 2000 15(2014), 1 vom: 23. Dez. (DE-627)326643745 (DE-600)2041355-5 1471-2474 nnns volume:15 year:2014 number:1 day:23 month:12 https://dx.doi.org/10.1186/1471-2474-15-451 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2014 1 23 12
allfieldsGer	10.1186/1471-2474-15-451 doi (DE-627)SPR028030567 (SPR)1471-2474-15-451-e DE-627 ger DE-627 rakwb eng Barlow, Tim verfasserin aut Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. Total knee replacement (dpeaa)DE-He213 Patient factors (dpeaa)DE-He213 Outcome prediction tool (dpeaa)DE-He213 Dunbar, Mark aut Sprowson, Andrew aut Parsons, Nick aut Griffin, Damian aut Enthalten in BMC musculoskeletal disorders London : BioMed Central, 2000 15(2014), 1 vom: 23. Dez. (DE-627)326643745 (DE-600)2041355-5 1471-2474 nnns volume:15 year:2014 number:1 day:23 month:12 https://dx.doi.org/10.1186/1471-2474-15-451 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2014 1 23 12
allfieldsSound	10.1186/1471-2474-15-451 doi (DE-627)SPR028030567 (SPR)1471-2474-15-451-e DE-627 ger DE-627 rakwb eng Barlow, Tim verfasserin aut Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. Total knee replacement (dpeaa)DE-He213 Patient factors (dpeaa)DE-He213 Outcome prediction tool (dpeaa)DE-He213 Dunbar, Mark aut Sprowson, Andrew aut Parsons, Nick aut Griffin, Damian aut Enthalten in BMC musculoskeletal disorders London : BioMed Central, 2000 15(2014), 1 vom: 23. Dez. (DE-627)326643745 (DE-600)2041355-5 1471-2474 nnns volume:15 year:2014 number:1 day:23 month:12 https://dx.doi.org/10.1186/1471-2474-15-451 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2014 1 23 12
language	English
source	Enthalten in BMC musculoskeletal disorders 15(2014), 1 vom: 23. Dez. volume:15 year:2014 number:1 day:23 month:12
sourceStr	Enthalten in BMC musculoskeletal disorders 15(2014), 1 vom: 23. Dez. volume:15 year:2014 number:1 day:23 month:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Total knee replacement Patient factors Outcome prediction tool
isfreeaccess_bool	false
container_title	BMC musculoskeletal disorders
authorswithroles_txt_mv	Barlow, Tim @@aut@@ Dunbar, Mark @@aut@@ Sprowson, Andrew @@aut@@ Parsons, Nick @@aut@@ Griffin, Damian @@aut@@
publishDateDaySort_date	2014-12-23T00:00:00Z
hierarchy_top_id	326643745
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language_de	englisch
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author	Barlow, Tim
spellingShingle	Barlow, Tim misc Total knee replacement misc Patient factors misc Outcome prediction tool Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS)
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topic_title	Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS) Total knee replacement (dpeaa)DE-He213 Patient factors (dpeaa)DE-He213 Outcome prediction tool (dpeaa)DE-He213
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title	Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS)
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title_full	Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS)
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title_sort	development of an outcome prediction tool for patients considering a total knee replacement – the knee outcome prediction study (kops)
title_auth	Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS)
abstract	Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Background Knee osteoarthritis affects 10% of the UK population over 55 years, resulting in pain and decreased quality of life. Knee replacement surgery has a proven benefit, with over 85,000 performed each year in the UK; however, approximately 17% of people are dissatisfied after surgery. Consequently, some Primary Care Trusts have reduced the funding available for knee replacements. Most previous work has focused on the effect of different prostheses and treatment protocols on patient’s outcome. However, this has been unable to account for all the variability and there is growing evidence that patient factors may significantly affect outcome. How to identify these at risk patients has been identified as a research priority by the National Institute of Clinical Excellence, the British Orthopedic Association, and the National Joint Registry. The aim of this study is to develop a clinically appropriate outcome prediction tool based on measurable predictors affecting outcome. Methods/design We propose a prospective cohort study, designed to develop and validate an outcome prediction tool based on patient factors. Six hundred patients who are scheduled for total knee replacement secondary to primary osteoarthritis will be recruited before surgery from all six hospitals (NHS and private) that provide total knee replacements to the population of Coventry and Warwickshire (UK). Patients will complete a baseline assessment of patient factors before their operation and will be followed up at 6 and 12 months post surgery. Discussion A clinically appropriate outcome prediction tool will allow patients to make a more informed decision regarding surgery. Aligning patient expectations with a realistic prediction of outcome should improve satisfaction. Ultimately, this project is likely to inform national policy making and regional service provision. © Barlow et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
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title_short	Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS)
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Development of an outcome prediction tool for patients considering a total knee replacement – the Knee Outcome Prediction Study (KOPS)

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Zugang & Verfügbarkeit

Vorhandene Bände

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