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Identifying and prioritizing strategies for comprehensive liver cancer control in Asia

BACKGROUND: Liver cancer is both common and burdensome in Asia. Effective liver cancer control, however, is hindered by a complex etiology and a lack of coordination across clinical disciplines. We sought to identify strategies for inclusion in a comprehensive liver cancer control for Asia and to co...

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Autores principales: Bridges, John FP, Gallego, Gisselle, Kudo, Masatoshi, Okita, Kiwamu, Han, Kwang-Hyub, Ye, Sheng-Long, Blauvelt, Barri M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227633/
https://www.ncbi.nlm.nih.gov/pubmed/22047535
http://dx.doi.org/10.1186/1472-6963-11-298
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author Bridges, John FP
Gallego, Gisselle
Kudo, Masatoshi
Okita, Kiwamu
Han, Kwang-Hyub
Ye, Sheng-Long
Blauvelt, Barri M
author_facet Bridges, John FP
Gallego, Gisselle
Kudo, Masatoshi
Okita, Kiwamu
Han, Kwang-Hyub
Ye, Sheng-Long
Blauvelt, Barri M
author_sort Bridges, John FP
collection PubMed
description BACKGROUND: Liver cancer is both common and burdensome in Asia. Effective liver cancer control, however, is hindered by a complex etiology and a lack of coordination across clinical disciplines. We sought to identify strategies for inclusion in a comprehensive liver cancer control for Asia and to compare qualitative and quantitative methods for prioritization. METHODS: Qualitative interviews (N = 20) with international liver cancer experts were used to identify strategies using Interpretative Phenomenological Analysis and to formulate an initial prioritization through frequency analysis. Conjoint analysis, a quantitative stated-preference method, was then applied among Asian liver cancer experts (N = 20) who completed 12 choice tasks that divided these strategies into two mutually exclusive and exhaustive subsets. Respondents' preferred plan was the primary outcome in a choice model, estimated using ordinary least squares (OLS) and logistic regression. Priorities were then compared using Spearman's Rho. RESULTS: Eleven strategies were identified: Access to treatments; Centers of excellence; Clinical education; Measuring social burden; Monitoring of at-risk populations; Multidisciplinary management; National guidelines; Public awareness; Research infrastructure; Risk-assessment and referral; and Transplantation infrastructure. Qualitative frequency analysis indicated that Risk-assessment and referral (85%), National guidelines (80%) and Monitoring of at-risk populations (80%) received the highest priority, while conjoint analysis pointed to Monitoring of at-risk populations (p < 0.001), Centers of excellence (p = 0.002), and Access to treatments (p = 0.004) as priorities, while Risk-assessment and referral was the lowest priority (p = 0.645). We find moderate concordance between the qualitative and quantitative methods (rho = 0.20), albeit insignificant (p = 0.554), and a strong concordance between the OLS and logistic regressions (rho = 0.979; p < 0.0001). CONCLUSIONS: Identified strategies can be conceptualized as the ABCs of comprehensive liver cancer control as they focus on Antecedents, Better care and Connections within a national strategy. Some concordance was found between the qualitative and quantitative methods (e.g. Monitoring of at-risk populations), but substantial differences were also identified (e.g. qualitative methods gave highest priority to risk-assessment and referral, but it was the lowest for the quantitative methods), which may be attributed to differences between the methods and study populations, and potential framing effects in choice tasks. Continued research will provide more generalizable estimates of priorities and account for variation across stakeholders and countries.
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spelling pubmed-32276332011-12-01 Identifying and prioritizing strategies for comprehensive liver cancer control in Asia Bridges, John FP Gallego, Gisselle Kudo, Masatoshi Okita, Kiwamu Han, Kwang-Hyub Ye, Sheng-Long Blauvelt, Barri M BMC Health Serv Res Research Article BACKGROUND: Liver cancer is both common and burdensome in Asia. Effective liver cancer control, however, is hindered by a complex etiology and a lack of coordination across clinical disciplines. We sought to identify strategies for inclusion in a comprehensive liver cancer control for Asia and to compare qualitative and quantitative methods for prioritization. METHODS: Qualitative interviews (N = 20) with international liver cancer experts were used to identify strategies using Interpretative Phenomenological Analysis and to formulate an initial prioritization through frequency analysis. Conjoint analysis, a quantitative stated-preference method, was then applied among Asian liver cancer experts (N = 20) who completed 12 choice tasks that divided these strategies into two mutually exclusive and exhaustive subsets. Respondents' preferred plan was the primary outcome in a choice model, estimated using ordinary least squares (OLS) and logistic regression. Priorities were then compared using Spearman's Rho. RESULTS: Eleven strategies were identified: Access to treatments; Centers of excellence; Clinical education; Measuring social burden; Monitoring of at-risk populations; Multidisciplinary management; National guidelines; Public awareness; Research infrastructure; Risk-assessment and referral; and Transplantation infrastructure. Qualitative frequency analysis indicated that Risk-assessment and referral (85%), National guidelines (80%) and Monitoring of at-risk populations (80%) received the highest priority, while conjoint analysis pointed to Monitoring of at-risk populations (p < 0.001), Centers of excellence (p = 0.002), and Access to treatments (p = 0.004) as priorities, while Risk-assessment and referral was the lowest priority (p = 0.645). We find moderate concordance between the qualitative and quantitative methods (rho = 0.20), albeit insignificant (p = 0.554), and a strong concordance between the OLS and logistic regressions (rho = 0.979; p < 0.0001). CONCLUSIONS: Identified strategies can be conceptualized as the ABCs of comprehensive liver cancer control as they focus on Antecedents, Better care and Connections within a national strategy. Some concordance was found between the qualitative and quantitative methods (e.g. Monitoring of at-risk populations), but substantial differences were also identified (e.g. qualitative methods gave highest priority to risk-assessment and referral, but it was the lowest for the quantitative methods), which may be attributed to differences between the methods and study populations, and potential framing effects in choice tasks. Continued research will provide more generalizable estimates of priorities and account for variation across stakeholders and countries. BioMed Central 2011-11-02 /pmc/articles/PMC3227633/ /pubmed/22047535 http://dx.doi.org/10.1186/1472-6963-11-298 Text en Copyright ©2011 Bridges et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bridges, John FP
Gallego, Gisselle
Kudo, Masatoshi
Okita, Kiwamu
Han, Kwang-Hyub
Ye, Sheng-Long
Blauvelt, Barri M
Identifying and prioritizing strategies for comprehensive liver cancer control in Asia
title Identifying and prioritizing strategies for comprehensive liver cancer control in Asia
title_full Identifying and prioritizing strategies for comprehensive liver cancer control in Asia
title_fullStr Identifying and prioritizing strategies for comprehensive liver cancer control in Asia
title_full_unstemmed Identifying and prioritizing strategies for comprehensive liver cancer control in Asia
title_short Identifying and prioritizing strategies for comprehensive liver cancer control in Asia
title_sort identifying and prioritizing strategies for comprehensive liver cancer control in asia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227633/
https://www.ncbi.nlm.nih.gov/pubmed/22047535
http://dx.doi.org/10.1186/1472-6963-11-298
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