Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/handle/10553/140038
Campo DC Valoridioma
dc.contributor.authorPinilla Domínguez, Jaimeen_US
dc.contributor.authorEstupiñán-Romero, Francisco Joséen_US
dc.contributor.authorGonzález López-Valcárcel, Beatrizen_US
dc.contributor.authorRidao-López, Manuelen_US
dc.contributor.authorBernal Delgado,Enriqueen_US
dc.date.accessioned2025-06-12T11:56:39Z-
dc.date.available2025-06-12T11:56:39Z-
dc.date.issued2025en_US
dc.identifier.issn0213-9111en_US
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/140038-
dc.description.abstractObjective: To analyse the seasonal variability of surgical procedures with guaranteed maximum waiting times with a view to figure out whether there are differences between urgent admissions and need-sensitive procedures, and those supply-sensitive. Method: Retrospective longitudinal observational study with administrative data on hospital episodes of the National Health System for 14 autonomous communities, years 2003 to 2022, aggregated monthly. The elective supply-sensitive surgical procedures with guaranteed times were selected. Then, as to conduct, the comparative analyses, we selected need-sensitive elective procedures for aortic-coronary bypass surgery in patients over 40 years of age, percutaneous transluminal coronary angioplasty in patients over 40 years of age, and breast cancer surgery in adult women up to 85 years of age to compare differences in seasonal variability. Finally, in order to get a basal level of seasonal variation we used emergency admissions for hip fracture in patients over 65 years of age and admission for acute myocardial infarction in patients over 40 years of age. A multiplicative decomposition of the series was applied to calculate the seasonal rate of change, and a placebo test was applied to test the seasonal variability of health care delivery across comparison groups. Results: Supply-sensitive elective surgery showed a marked seasonal variability, with rates of variation above 1.20 in months such as February, March, May and June, and very low values in the summer months, 0.42 in August. The placebo test confirmed significant differences with respect to the expected distribution according to working days. In contrast, in those need-sensitive procedures and emergency admissions, the seasonal variability was found to be almost non-existent. Conclusions: A reasonable management objective for hospitals could be to reduce the monthly variability in elective supply-sensitive surgical activity through improving indication, re-organizing of human resources and incentives to reduce activity.en_US
dc.languagespaen_US
dc.relation.ispartofGaceta Sanitariaen_US
dc.sourceGaceta Sanitaria[ISSN 0213-9111], (Enero 2025)en_US
dc.subject531207 Sanidaden_US
dc.subject.otherAdministrative Dataen_US
dc.subject.otherElective Surgery Waiting Listsen_US
dc.subject.otherHuman Resource Managementen_US
dc.subject.otherSeasonal Variabilityen_US
dc.subject.otherTime Seriesen_US
dc.titleDifferential seasonality in surgical waiting list discharges in Spain: implications for managementen_US
dc.title.alternativeEstacionalidad diferencial en las salidas de las listas de espera quirúrgica en España: implicaciones para la gestiónen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.gaceta.2025.102499en_US
dc.identifier.scopus105005648501-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid7005595836-
dc.contributor.authorscopusid57215188996-
dc.contributor.authorscopusid6507677112-
dc.contributor.authorscopusid6508056781-
dc.contributor.authorscopusid55331996100-
dc.identifier.eissn1578-1283-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2025en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,497
dc.description.jcr1,5
dc.description.sjrqQ3
dc.description.jcrqQ3
dc.description.scieSCIE
dc.description.ssciSSCI
dc.description.miaricds11,0
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-7126-4236-
crisitem.author.orcid0000-0002-5571-3257-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNamePinilla Domínguez, Jaime-
crisitem.author.fullNameGonzález Lopez-Valcarcel, Beatriz-
crisitem.author.fullNameBernal Delgado,Enrique-
Colección:Artículos
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