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On the data to know the prioritization and vulnerability of patients on surgical waiting lists
The data presented in this article are complementary material to our work entitled “A decision support system for prioritization of patients on surgical waiting lists: A biopsychosocial approach”. We prepared, together with physicians, a survey was used in the otorhinolaryngology unit of the Hospita...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057161/ https://www.ncbi.nlm.nih.gov/pubmed/32154347 http://dx.doi.org/10.1016/j.dib.2020.105310 |
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author | Silva-Aravena, Fabián Álvarez-Miranda, Eduardo Astudillo, César A. González-Martínez, Luis Ledezma, José G. |
author_facet | Silva-Aravena, Fabián Álvarez-Miranda, Eduardo Astudillo, César A. González-Martínez, Luis Ledezma, José G. |
author_sort | Silva-Aravena, Fabián |
collection | PubMed |
description | The data presented in this article are complementary material to our work entitled “A decision support system for prioritization of patients on surgical waiting lists: A biopsychosocial approach”. We prepared, together with physicians, a survey was used in the otorhinolaryngology unit of the Hospital of Talca for a period of five months, between February 05, 2018 and June 29, 2018. Two hundred and five surveys were collected through 20 biopsychosocial criteria, which allowed measuring the priority and vulnerability of patients on the surgical waiting list. The data allow choosing and preparing patients for surgery according to both a dynamic score and a vulnerability level. |
format | Online Article Text |
id | pubmed-7057161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70571612020-03-09 On the data to know the prioritization and vulnerability of patients on surgical waiting lists Silva-Aravena, Fabián Álvarez-Miranda, Eduardo Astudillo, César A. González-Martínez, Luis Ledezma, José G. Data Brief Decision Science The data presented in this article are complementary material to our work entitled “A decision support system for prioritization of patients on surgical waiting lists: A biopsychosocial approach”. We prepared, together with physicians, a survey was used in the otorhinolaryngology unit of the Hospital of Talca for a period of five months, between February 05, 2018 and June 29, 2018. Two hundred and five surveys were collected through 20 biopsychosocial criteria, which allowed measuring the priority and vulnerability of patients on the surgical waiting list. The data allow choosing and preparing patients for surgery according to both a dynamic score and a vulnerability level. Elsevier 2020-02-22 /pmc/articles/PMC7057161/ /pubmed/32154347 http://dx.doi.org/10.1016/j.dib.2020.105310 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Decision Science Silva-Aravena, Fabián Álvarez-Miranda, Eduardo Astudillo, César A. González-Martínez, Luis Ledezma, José G. On the data to know the prioritization and vulnerability of patients on surgical waiting lists |
title | On the data to know the prioritization and vulnerability of patients on surgical waiting lists |
title_full | On the data to know the prioritization and vulnerability of patients on surgical waiting lists |
title_fullStr | On the data to know the prioritization and vulnerability of patients on surgical waiting lists |
title_full_unstemmed | On the data to know the prioritization and vulnerability of patients on surgical waiting lists |
title_short | On the data to know the prioritization and vulnerability of patients on surgical waiting lists |
title_sort | on the data to know the prioritization and vulnerability of patients on surgical waiting lists |
topic | Decision Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057161/ https://www.ncbi.nlm.nih.gov/pubmed/32154347 http://dx.doi.org/10.1016/j.dib.2020.105310 |
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