Cargando…
Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina
BACKGROUND: Screening for colorectal cancer (CRC) is suboptimal, particularly for vulnerable populations. Effective intervention programs are needed to increase screening rates. We used a discrete choice experiment (DCE) to learn about how vulnerable individuals in North Carolina value different asp...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267137/ https://www.ncbi.nlm.nih.gov/pubmed/25433801 http://dx.doi.org/10.1186/s12913-014-0611-4 |
_version_ | 1782349106476220416 |
---|---|
author | Pignone, Michael P Crutchfield, Trisha M Brown, Paul M Hawley, Sarah T Laping, Jane L Lewis, Carmen L Lich, Kristen Hassmiller Richardson, Lisa C Tangka, Florence KL Wheeler, Stephanie B |
author_facet | Pignone, Michael P Crutchfield, Trisha M Brown, Paul M Hawley, Sarah T Laping, Jane L Lewis, Carmen L Lich, Kristen Hassmiller Richardson, Lisa C Tangka, Florence KL Wheeler, Stephanie B |
author_sort | Pignone, Michael P |
collection | PubMed |
description | BACKGROUND: Screening for colorectal cancer (CRC) is suboptimal, particularly for vulnerable populations. Effective intervention programs are needed to increase screening rates. We used a discrete choice experiment (DCE) to learn about how vulnerable individuals in North Carolina value different aspects of CRC screening programs. METHODS: We enrolled English-speaking adults ages 50–75 at average risk of CRC from rural North Carolina communities with low rates of CRC screening, targeting those with public or no insurance and low incomes. Participants received basic information about CRC screening and potential program features, then completed a 16 task DCE and survey questions that examined preferences for four attributes of screening programs: testing options available; travel time required; money paid for screening or rewards for completing screening; and the portion of the cost of follow-up care paid out of pocket. We used Hierarchical Bayesian methods to calculate individual-level utilities for the 4 attributes’ levels and individual-level attribute importance scores. For each individual, the attribute with the highest importance score was considered the most important attribute. Individual utilities were then aggregated to produce mean utilities for each attribute. We also compared DCE-based results with those from direct questions in a post-DCE survey. RESULTS: We enrolled 150 adults. Mean age was 57.8 (range 50–74); 55% were women; 76% White and 19% African-American; 87% annual household income under $30,000; and 51% were uninsured. Individuals preferred shorter travel; rewards or small copayments compared with large copayments; programs that included stool testing as an option; and greater coverage of follow-up costs. Follow-up cost coverage was most frequently found to be the most important attribute from the DCE (47%); followed by test reward/copayment (33%). From the survey, proportion of follow-up costs paid was most frequently cited as most important (42% of participants), followed by testing options (32%). There was moderate agreement (45%) in attribute importance between the DCE and the single question in the post-DCE survey. CONCLUSIONS: Screening test copayments and follow-up care coverage costs are important program characteristics in this vulnerable, rural population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-014-0611-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4267137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42671372014-12-17 Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina Pignone, Michael P Crutchfield, Trisha M Brown, Paul M Hawley, Sarah T Laping, Jane L Lewis, Carmen L Lich, Kristen Hassmiller Richardson, Lisa C Tangka, Florence KL Wheeler, Stephanie B BMC Health Serv Res Research Article BACKGROUND: Screening for colorectal cancer (CRC) is suboptimal, particularly for vulnerable populations. Effective intervention programs are needed to increase screening rates. We used a discrete choice experiment (DCE) to learn about how vulnerable individuals in North Carolina value different aspects of CRC screening programs. METHODS: We enrolled English-speaking adults ages 50–75 at average risk of CRC from rural North Carolina communities with low rates of CRC screening, targeting those with public or no insurance and low incomes. Participants received basic information about CRC screening and potential program features, then completed a 16 task DCE and survey questions that examined preferences for four attributes of screening programs: testing options available; travel time required; money paid for screening or rewards for completing screening; and the portion of the cost of follow-up care paid out of pocket. We used Hierarchical Bayesian methods to calculate individual-level utilities for the 4 attributes’ levels and individual-level attribute importance scores. For each individual, the attribute with the highest importance score was considered the most important attribute. Individual utilities were then aggregated to produce mean utilities for each attribute. We also compared DCE-based results with those from direct questions in a post-DCE survey. RESULTS: We enrolled 150 adults. Mean age was 57.8 (range 50–74); 55% were women; 76% White and 19% African-American; 87% annual household income under $30,000; and 51% were uninsured. Individuals preferred shorter travel; rewards or small copayments compared with large copayments; programs that included stool testing as an option; and greater coverage of follow-up costs. Follow-up cost coverage was most frequently found to be the most important attribute from the DCE (47%); followed by test reward/copayment (33%). From the survey, proportion of follow-up costs paid was most frequently cited as most important (42% of participants), followed by testing options (32%). There was moderate agreement (45%) in attribute importance between the DCE and the single question in the post-DCE survey. CONCLUSIONS: Screening test copayments and follow-up care coverage costs are important program characteristics in this vulnerable, rural population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-014-0611-4) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-30 /pmc/articles/PMC4267137/ /pubmed/25433801 http://dx.doi.org/10.1186/s12913-014-0611-4 Text en © Pignone et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Pignone, Michael P Crutchfield, Trisha M Brown, Paul M Hawley, Sarah T Laping, Jane L Lewis, Carmen L Lich, Kristen Hassmiller Richardson, Lisa C Tangka, Florence KL Wheeler, Stephanie B Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina |
title | Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina |
title_full | Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina |
title_fullStr | Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina |
title_full_unstemmed | Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina |
title_short | Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina |
title_sort | using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in north carolina |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267137/ https://www.ncbi.nlm.nih.gov/pubmed/25433801 http://dx.doi.org/10.1186/s12913-014-0611-4 |
work_keys_str_mv | AT pignonemichaelp usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT crutchfieldtrisham usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT brownpaulm usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT hawleysaraht usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT lapingjanel usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT lewiscarmenl usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT lichkristenhassmiller usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT richardsonlisac usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT tangkaflorencekl usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina AT wheelerstephanieb usingadiscretechoiceexperimenttoinformthedesignofprogramstopromotecoloncancerscreeningforvulnerablepopulationsinnorthcarolina |