Relevance of barriers and facilitators in the use of health technology assessment in Colombia
Objectives: Several studies, mostly from developed countries, have identified barriers and facilitators with regard to the uptake of health technology assessment (HTA). This study elicited, using best-worst scaling (BWS), what HTA experts in Colombia consider to be the most important barriers and fa...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22394
- Acceso en línea:
- https://doi.org/10.1080/13696998.2018.1449751
https://repository.urosario.edu.co/handle/10336/22394
- Palabra clave:
- Adult
Article
Biomedical technology assessment
Clinical article
Colombia
Employee
Female
Human
Human experiment
Male
Netherlands
Phd student
Public health
Scientist
Biomedical technology assessment
Colombia
Decision making
Decision support system
Health care policy
Middle aged
Procedures
Adult
Colombia
Decision making
Decision support techniques
Female
Health policy
Humans
Male
Middle aged
Netherlands
Barriers
Best–worst scaling
Colombia
Facilitators
Health technology assessment
Preferences
biomedical
Technology assessment
- Rights
- License
- Abierto (Texto Completo)
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7d16d208-99d0-4818-b045-7f191bb24e3967580566008dc2cf2e-a943-46d0-8d31-555cf22823dcd62c2f59-bb52-4bbb-a047-8e008d82c5fb2f4b23a2-ead8-4ee3-ab1e-1eca7b2703592020-05-25T23:56:19Z2020-05-25T23:56:19Z2018Objectives: Several studies, mostly from developed countries, have identified barriers and facilitators with regard to the uptake of health technology assessment (HTA). This study elicited, using best-worst scaling (BWS), what HTA experts in Colombia consider to be the most important barriers and facilitators in the use of HTA, and makes a comparison to results from the Netherlands. Methods: Two object case surveys (one for barriers, one for facilitators) were conducted among 18 experts (policymakers, health professionals, PhD students, senior HTA-researchers) from Colombia. Seven respondents were employees of the national HTA agency Instituto de Evaluación Tecnológica de Salud (IETS). In total, 22 barriers and 19 facilitators were included. In each choice task, participants were asked to choose the most and least important barrier/facilitator from a set of five. Hierarchical Bayes modeling was used to compute the mean relative importance scores (RIS) for each factor, and a subgroup analysis was conducted to assess differences between IETS and non-IETS respondents. The final ranking was further compared to the results from a similar study conducted in the Netherlands. Results: The three most important barriers (RIS >6.00) were “Inadequate presentation format”, “Absence of policy networks”, and “Insufficient legal support”. The six most important facilitators (RIS >6.00) were “Appropriate timing”, “Clear presentation format”, “Improving longstanding relation”, “Appropriate incentives”, “Sufficient qualified human resources”, and “Availability to relevant HTA research”. The perceived relevance of the barriers and facilitators differed slightly between IETS and non-IETS employees, while the differences between the rankings in Colombia and the Netherlands were substantial. Conclusion: The study suggests that barriers and facilitators related to technical aspects of processing HTA reports and to the contact and interaction between researchers and policymakers had the greatest importance in Colombia. © 2018 Informa UK Limited, trading as Taylor and Francis Group.application/pdfhttps://doi.org/10.1080/13696998.2018.144975113696998https://repository.urosario.edu.co/handle/10336/22394engTaylor and Francis Ltd517No. 5510Journal of Medical EconomicsVol. 21Journal of Medical Economics, ISSN:13696998, Vol.21, No.5 (2018); pp. 510-517https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044343040&doi=10.1080%2f13696998.2018.1449751&partnerID=40&md5=8696ecc456da1d5cf3e6cfa056c47799Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAdultArticleBiomedical technology assessmentClinical articleColombiaEmployeeFemaleHumanHuman experimentMaleNetherlandsPhd studentPublic healthScientistBiomedical technology assessmentColombiaDecision makingDecision support systemHealth care policyMiddle agedProceduresAdultColombiaDecision makingDecision support techniquesFemaleHealth policyHumansMaleMiddle agedNetherlandsBarriersBest–worst scalingColombiaFacilitatorsHealth technology assessmentPreferencesbiomedicalTechnology assessmentRelevance of barriers and facilitators in the use of health technology assessment in ColombiaarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Dams F.González Rodríguez, Javier LeonardoCheung K.L.Wijnen B.F.M.Hiligsmann M.10336/22394oai:repository.urosario.edu.co:10336/223942022-05-02 07:37:16.28481https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia |
title |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia |
spellingShingle |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia Adult Article Biomedical technology assessment Clinical article Colombia Employee Female Human Human experiment Male Netherlands Phd student Public health Scientist Biomedical technology assessment Colombia Decision making Decision support system Health care policy Middle aged Procedures Adult Colombia Decision making Decision support techniques Female Health policy Humans Male Middle aged Netherlands Barriers Best–worst scaling Colombia Facilitators Health technology assessment Preferences biomedical Technology assessment |
title_short |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia |
title_full |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia |
title_fullStr |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia |
title_full_unstemmed |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia |
title_sort |
Relevance of barriers and facilitators in the use of health technology assessment in Colombia |
dc.subject.keyword.spa.fl_str_mv |
Adult Article Biomedical technology assessment Clinical article Colombia Employee Female Human Human experiment Male Netherlands Phd student Public health Scientist Biomedical technology assessment Colombia Decision making Decision support system Health care policy Middle aged Procedures Adult Colombia Decision making Decision support techniques Female Health policy Humans Male Middle aged Netherlands Barriers Best–worst scaling Colombia Facilitators Health technology assessment Preferences |
topic |
Adult Article Biomedical technology assessment Clinical article Colombia Employee Female Human Human experiment Male Netherlands Phd student Public health Scientist Biomedical technology assessment Colombia Decision making Decision support system Health care policy Middle aged Procedures Adult Colombia Decision making Decision support techniques Female Health policy Humans Male Middle aged Netherlands Barriers Best–worst scaling Colombia Facilitators Health technology assessment Preferences biomedical Technology assessment |
dc.subject.keyword.eng.fl_str_mv |
biomedical Technology assessment |
description |
Objectives: Several studies, mostly from developed countries, have identified barriers and facilitators with regard to the uptake of health technology assessment (HTA). This study elicited, using best-worst scaling (BWS), what HTA experts in Colombia consider to be the most important barriers and facilitators in the use of HTA, and makes a comparison to results from the Netherlands. Methods: Two object case surveys (one for barriers, one for facilitators) were conducted among 18 experts (policymakers, health professionals, PhD students, senior HTA-researchers) from Colombia. Seven respondents were employees of the national HTA agency Instituto de Evaluación Tecnológica de Salud (IETS). In total, 22 barriers and 19 facilitators were included. In each choice task, participants were asked to choose the most and least important barrier/facilitator from a set of five. Hierarchical Bayes modeling was used to compute the mean relative importance scores (RIS) for each factor, and a subgroup analysis was conducted to assess differences between IETS and non-IETS respondents. The final ranking was further compared to the results from a similar study conducted in the Netherlands. Results: The three most important barriers (RIS >6.00) were “Inadequate presentation format”, “Absence of policy networks”, and “Insufficient legal support”. The six most important facilitators (RIS >6.00) were “Appropriate timing”, “Clear presentation format”, “Improving longstanding relation”, “Appropriate incentives”, “Sufficient qualified human resources”, and “Availability to relevant HTA research”. The perceived relevance of the barriers and facilitators differed slightly between IETS and non-IETS employees, while the differences between the rankings in Colombia and the Netherlands were substantial. Conclusion: The study suggests that barriers and facilitators related to technical aspects of processing HTA reports and to the contact and interaction between researchers and policymakers had the greatest importance in Colombia. © 2018 Informa UK Limited, trading as Taylor and Francis Group. |
publishDate |
2018 |
dc.date.created.spa.fl_str_mv |
2018 |
dc.date.accessioned.none.fl_str_mv |
2020-05-25T23:56:19Z |
dc.date.available.none.fl_str_mv |
2020-05-25T23:56:19Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1080/13696998.2018.1449751 |
dc.identifier.issn.none.fl_str_mv |
13696998 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/22394 |
url |
https://doi.org/10.1080/13696998.2018.1449751 https://repository.urosario.edu.co/handle/10336/22394 |
identifier_str_mv |
13696998 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
517 |
dc.relation.citationIssue.none.fl_str_mv |
No. 5 |
dc.relation.citationStartPage.none.fl_str_mv |
510 |
dc.relation.citationTitle.none.fl_str_mv |
Journal of Medical Economics |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 21 |
dc.relation.ispartof.spa.fl_str_mv |
Journal of Medical Economics, ISSN:13696998, Vol.21, No.5 (2018); pp. 510-517 |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044343040&doi=10.1080%2f13696998.2018.1449751&partnerID=40&md5=8696ecc456da1d5cf3e6cfa056c47799 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Taylor and Francis Ltd |
institution |
Universidad del Rosario |
dc.source.instname.spa.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167496394014720 |