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...

Full description

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)
id EDOCUR2_8147d196aa1ada0aa977d5da30608675
oai_identifier_str oai:repository.urosario.edu.co:10336/22394
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 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