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http://hdl.handle.net/2445/172729
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DC Field | Value | Language |
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dc.contributor.author | Calvo, Mireia | - |
dc.contributor.author | González, Ruben | - |
dc.contributor.author | Seijas, Nuria | - |
dc.contributor.author | Vela, Emili | - |
dc.contributor.author | Hernández, Carme | - |
dc.contributor.author | Batiste, Guillem | - |
dc.contributor.author | Miralles Barrachina, Felip | - |
dc.contributor.author | Roca Torrent, Josep | - |
dc.contributor.author | Cano Franco, Isaac | - |
dc.contributor.author | Jané, Raimon | - |
dc.date.accessioned | 2020-12-14T14:06:29Z | - |
dc.date.available | 2020-12-14T14:06:29Z | - |
dc.date.issued | 2020-10-07 | - |
dc.identifier.issn | 1438-8871 | - |
dc.identifier.uri | http://hdl.handle.net/2445/172729 | - |
dc.description.abstract | Background: Home hospitalization is widely accepted as a cost-effective alternative to conventional hospitalization for selected patients. A recent analysis of the home hospitalization and early discharge (HH/ED) program at Hospital Clínic de Barcelona over a 10-year period demonstrated high levels of acceptance by patients and professionals, as well as health value-based generation at the provider and health-system levels. However, health risk assessment was identified as an unmet need with the potential to enhance clinical decision making. Objective: The objective of this study is to generate and assess predictive models of mortality and in-hospital admission at entry and at HH/ED discharge. Methods: Predictive modeling of mortality and in-hospital admission was done in 2 different scenarios: at entry into the HH/ED program and at discharge, from January 2009 to December 2015. Multisource predictive variables, including standard clinical data, patients' functional features, and population health risk assessment, were considered. Results: We studied 1925 HH/ED patients by applying a random forest classifier, as it showed the best performance. Average results of the area under the receiver operating characteristic curve (AUROC; sensitivity/specificity) for the prediction of mortality were 0.88 (0.81/0.76) and 0.89 (0.81/0.81) at entry and at home hospitalization discharge, respectively; the AUROC (sensitivity/specificity) values for in-hospital admission were 0.71 (0.67/0.64) and 0.70 (0.71/0.61) at entry and at home hospitalization discharge, respectively. Conclusions: The results showed potential for feeding clinical decision support systems aimed at supporting health professionals for inclusion of candidates into the HH/ED program, and have the capacity to guide transitions toward community-based care at HH discharge. | - |
dc.format.extent | 10 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | JMIR Publications | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.2196/21367 | - |
dc.relation.ispartof | Journal of Medical Internet Research, 2020, vol. 22, num. 10, p. e21367 | - |
dc.relation.uri | https://doi.org/10.2196/21367 | - |
dc.rights | cc-by (c) Calvo, Mireia et al., 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es | - |
dc.source | Articles publicats en revistes (Medicina) | - |
dc.subject.classification | Atenció domiciliària | - |
dc.subject.classification | Salut pública | - |
dc.subject.other | Home care services | - |
dc.subject.other | Public health | - |
dc.title | Health outcomes from home hospitalization: multisource predictive modeling | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 705237 | - |
dc.date.updated | 2020-12-14T14:06:29Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.idimarina | 6467272 | - |
dc.identifier.pmid | 33026357 | - |
Appears in Collections: | Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC)) Articles publicats en revistes (Medicina) Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) |
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705237.pdf | 342.37 kB | Adobe PDF | View/Open |
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