Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/120542 |
Resumo: | Objective: To evaluate the content of Pain Medicine Fellowship Program websites in the United States of America. Methods: We obtained a list of accredited 104 Pain Medicine Fellowship Program websites from the Accreditation Council for Graduate Medical Education and the Electronic Residency Application Service. Individual Pain Medicine Fellowship Program websites were then evaluated on 14 different criteria. We grouped fellowship programs based on census region and Electronic Residency Application Service participation status, and analyzed the differences using nonpara-metric statistics. Results: A total of 104 accredited Pain Medicine Fellowship Program websites were evaluated for a total of 14 different criteria. Of the 14 different criteria, an average of 3.94 were described in each website. Number of Fellowship positions per year (71.8%), clinical rotations during the program (65.1%), and faculty background (62.2%) were the most frequently described features on the websites. Night call responsibilities (3.9%), meal allowance (7.8%) and parking availability (10.7%) were the least described features in the websites. There were no significant differences between program websites when grouped by census regions or the participation status in the Electronic Residency Applications Service. Conclusion: The content of Pain Medicine Fellowship Program websites is extremely variable across the United States of America. This study indicates that there is room for improvement and enhancement of the comprehensiveness of website content for the majority of the programs analyzed. Additionally, this study also emphasizes the importance of having accurate and easily available online information in a post-pandemic era, when prospective fellows evaluate programs online through their websites. |
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Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteriaACGMEApplicationERASFellowship programPain medicineWebsiteAnesthesiology and Pain MedicineObjective: To evaluate the content of Pain Medicine Fellowship Program websites in the United States of America. Methods: We obtained a list of accredited 104 Pain Medicine Fellowship Program websites from the Accreditation Council for Graduate Medical Education and the Electronic Residency Application Service. Individual Pain Medicine Fellowship Program websites were then evaluated on 14 different criteria. We grouped fellowship programs based on census region and Electronic Residency Application Service participation status, and analyzed the differences using nonpara-metric statistics. Results: A total of 104 accredited Pain Medicine Fellowship Program websites were evaluated for a total of 14 different criteria. Of the 14 different criteria, an average of 3.94 were described in each website. Number of Fellowship positions per year (71.8%), clinical rotations during the program (65.1%), and faculty background (62.2%) were the most frequently described features on the websites. Night call responsibilities (3.9%), meal allowance (7.8%) and parking availability (10.7%) were the least described features in the websites. There were no significant differences between program websites when grouped by census regions or the participation status in the Electronic Residency Applications Service. Conclusion: The content of Pain Medicine Fellowship Program websites is extremely variable across the United States of America. This study indicates that there is room for improvement and enhancement of the comprehensiveness of website content for the majority of the programs analyzed. Additionally, this study also emphasizes the importance of having accurate and easily available online information in a post-pandemic era, when prospective fellows evaluate programs online through their websites.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNGupta, SahilPalmer, ScottFerreira-Dos-santos, GuilhermeHurdle, Mark Friedrich2021-07-05T22:18:16Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article5application/pdfhttp://hdl.handle.net/10362/120542eng1178-7090PURE: 32100629https://doi.org/10.2147/JPR.S313513info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:03:03Zoai:run.unl.pt:10362/120542Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:22.710307Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria |
title |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria |
spellingShingle |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria Gupta, Sahil ACGME Application ERAS Fellowship program Pain medicine Website Anesthesiology and Pain Medicine |
title_short |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria |
title_full |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria |
title_fullStr |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria |
title_full_unstemmed |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria |
title_sort |
Pain medicine fellowship program websites in the United States of America – A nonparametric statistic analysis of 14 different criteria |
author |
Gupta, Sahil |
author_facet |
Gupta, Sahil Palmer, Scott Ferreira-Dos-santos, Guilherme Hurdle, Mark Friedrich |
author_role |
author |
author2 |
Palmer, Scott Ferreira-Dos-santos, Guilherme Hurdle, Mark Friedrich |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
dc.contributor.author.fl_str_mv |
Gupta, Sahil Palmer, Scott Ferreira-Dos-santos, Guilherme Hurdle, Mark Friedrich |
dc.subject.por.fl_str_mv |
ACGME Application ERAS Fellowship program Pain medicine Website Anesthesiology and Pain Medicine |
topic |
ACGME Application ERAS Fellowship program Pain medicine Website Anesthesiology and Pain Medicine |
description |
Objective: To evaluate the content of Pain Medicine Fellowship Program websites in the United States of America. Methods: We obtained a list of accredited 104 Pain Medicine Fellowship Program websites from the Accreditation Council for Graduate Medical Education and the Electronic Residency Application Service. Individual Pain Medicine Fellowship Program websites were then evaluated on 14 different criteria. We grouped fellowship programs based on census region and Electronic Residency Application Service participation status, and analyzed the differences using nonpara-metric statistics. Results: A total of 104 accredited Pain Medicine Fellowship Program websites were evaluated for a total of 14 different criteria. Of the 14 different criteria, an average of 3.94 were described in each website. Number of Fellowship positions per year (71.8%), clinical rotations during the program (65.1%), and faculty background (62.2%) were the most frequently described features on the websites. Night call responsibilities (3.9%), meal allowance (7.8%) and parking availability (10.7%) were the least described features in the websites. There were no significant differences between program websites when grouped by census regions or the participation status in the Electronic Residency Applications Service. Conclusion: The content of Pain Medicine Fellowship Program websites is extremely variable across the United States of America. This study indicates that there is room for improvement and enhancement of the comprehensiveness of website content for the majority of the programs analyzed. Additionally, this study also emphasizes the importance of having accurate and easily available online information in a post-pandemic era, when prospective fellows evaluate programs online through their websites. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-05T22:18:16Z 2021 2021-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/120542 |
url |
http://hdl.handle.net/10362/120542 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1178-7090 PURE: 32100629 https://doi.org/10.2147/JPR.S313513 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
5 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799138051564240896 |