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Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy

OBJECTIVES: To derive priority weights for access to bariatric surgery for obese adults, from the perspective of the public. SETTING: Australian public hospital system. PARTICIPANTS: Adults (N=1994), reflecting the age and gender distribution of Queensland and South Australia. PRIMARY AND SECONDARY...

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Autores principales: Whitty, Jennifer A, Ratcliffe, Julie, Kendall, Elizabeth, Burton, Paul, Wilson, Andrew, Littlejohns, Peter, Harris, Paul, Krinks, Rachael, Scuffham, Paul A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611181/
https://www.ncbi.nlm.nih.gov/pubmed/26474940
http://dx.doi.org/10.1136/bmjopen-2015-008919
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author Whitty, Jennifer A
Ratcliffe, Julie
Kendall, Elizabeth
Burton, Paul
Wilson, Andrew
Littlejohns, Peter
Harris, Paul
Krinks, Rachael
Scuffham, Paul A
author_facet Whitty, Jennifer A
Ratcliffe, Julie
Kendall, Elizabeth
Burton, Paul
Wilson, Andrew
Littlejohns, Peter
Harris, Paul
Krinks, Rachael
Scuffham, Paul A
author_sort Whitty, Jennifer A
collection PubMed
description OBJECTIVES: To derive priority weights for access to bariatric surgery for obese adults, from the perspective of the public. SETTING: Australian public hospital system. PARTICIPANTS: Adults (N=1994), reflecting the age and gender distribution of Queensland and South Australia. PRIMARY AND SECONDARY OUTCOME MEASURES: A discrete choice experiment in which respondents indicated which of two individuals with different characteristics should be prioritised for surgery in repeated hypothetical choices. Potential surgery recipients were described by seven key characteristics or attributes: body mass index (BMI), presence of comorbid conditions, age, family history, commitment to lifestyle change, time on the surgical wait list and chance of maintaining weight loss following surgery. A multinomial logit model was used to evaluate preferences and derive priority weights (primary analysis), with a latent class model used to explore respondent characteristics that were associated with variation in preference across the sample (see online supplementary analysis). RESULTS: A preference was observed to prioritise individuals who demonstrated a strong commitment to maintaining a healthy lifestyle as well as individuals categorised with very severe (BMI≥50 kg/m(2)) or (to a lesser extent) severe (BMI≥40 kg/m(2)) obesity, those who already have obesity-related comorbidity, with a family history of obesity, with a greater chance of maintaining weight loss or who had spent a longer time on the wait list. Lifestyle commitment was considered to be more than twice as important as any other criterion. There was little tendency to prioritise according to the age of the recipient. Respondent preferences were dependent on their BMI, previous experience with weight management surgery, current health state and education level. CONCLUSIONS: This study extends our understanding of the publics’ preferences for priority setting to the context of bariatric surgery, and derives priority weights that could be used to assist bodies responsible for commissioning bariatric services.
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spelling pubmed-46111812015-10-23 Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy Whitty, Jennifer A Ratcliffe, Julie Kendall, Elizabeth Burton, Paul Wilson, Andrew Littlejohns, Peter Harris, Paul Krinks, Rachael Scuffham, Paul A BMJ Open Health Economics OBJECTIVES: To derive priority weights for access to bariatric surgery for obese adults, from the perspective of the public. SETTING: Australian public hospital system. PARTICIPANTS: Adults (N=1994), reflecting the age and gender distribution of Queensland and South Australia. PRIMARY AND SECONDARY OUTCOME MEASURES: A discrete choice experiment in which respondents indicated which of two individuals with different characteristics should be prioritised for surgery in repeated hypothetical choices. Potential surgery recipients were described by seven key characteristics or attributes: body mass index (BMI), presence of comorbid conditions, age, family history, commitment to lifestyle change, time on the surgical wait list and chance of maintaining weight loss following surgery. A multinomial logit model was used to evaluate preferences and derive priority weights (primary analysis), with a latent class model used to explore respondent characteristics that were associated with variation in preference across the sample (see online supplementary analysis). RESULTS: A preference was observed to prioritise individuals who demonstrated a strong commitment to maintaining a healthy lifestyle as well as individuals categorised with very severe (BMI≥50 kg/m(2)) or (to a lesser extent) severe (BMI≥40 kg/m(2)) obesity, those who already have obesity-related comorbidity, with a family history of obesity, with a greater chance of maintaining weight loss or who had spent a longer time on the wait list. Lifestyle commitment was considered to be more than twice as important as any other criterion. There was little tendency to prioritise according to the age of the recipient. Respondent preferences were dependent on their BMI, previous experience with weight management surgery, current health state and education level. CONCLUSIONS: This study extends our understanding of the publics’ preferences for priority setting to the context of bariatric surgery, and derives priority weights that could be used to assist bodies responsible for commissioning bariatric services. BMJ Publishing Group 2015-10-15 /pmc/articles/PMC4611181/ /pubmed/26474940 http://dx.doi.org/10.1136/bmjopen-2015-008919 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Health Economics
Whitty, Jennifer A
Ratcliffe, Julie
Kendall, Elizabeth
Burton, Paul
Wilson, Andrew
Littlejohns, Peter
Harris, Paul
Krinks, Rachael
Scuffham, Paul A
Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy
title Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy
title_full Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy
title_fullStr Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy
title_full_unstemmed Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy
title_short Prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy
title_sort prioritising patients for bariatric surgery: building public preferences from a discrete choice experiment into public policy
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611181/
https://www.ncbi.nlm.nih.gov/pubmed/26474940
http://dx.doi.org/10.1136/bmjopen-2015-008919
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