000117664 001__ 117664
000117664 005__ 20240319081026.0
000117664 0247_ $$2doi$$a10.3389/fpubh.2022.928174
000117664 0248_ $$2sideral$$a129256
000117664 037__ $$aART-2022-129256
000117664 041__ $$aeng
000117664 100__ $$0(orcid)0000-0001-7293-701X$$aAguilar Palacio, Isabel$$uUniversidad de Zaragoza
000117664 245__ $$aUnderstanding the COVID-19 pandemic in nursing homes (Aragón, Spain): sociodemographic and clinical factors associated with hospitalization and mortality
000117664 260__ $$c2022
000117664 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117664 5203_ $$aOld people residing in nursing homes have been a vulnerable group to the coronavirus disease 2019 (COVID-19) pandemic, with high rates of infection and death. Our objective was to describe the profile of institutionalized patients with a confirmed COVID-19 infection and the socioeconomic and morbidity factors associated with hospitalization and death. We conducted a retrospective cohort study including data from subjects aged 65 years or older residing in a nursing home with a confirmed COVID-19 infection from March 2020 to March 2021 (4,632 individuals) in Aragón (Spain). We analyzed their sociodemographic and clinical profiles and factors related to hospitalization and mortality at 7, 30, and 90 days of COVID-19 diagnosis using logistic regression analyses. We found that the risk of hospitalization and mortality varied according to sociodemographic and morbidity profile. There were inequalities in hospitalization by socioeconomic status and gender. Patients with low contributory pensions and women had a lower risk of hospitalization. Diabetes mellitus, heart failure, and chronic kidney disease were associated with a higher risk of hospitalization. On the contrary, people with dementia showed the highest risk of mortality with no hospitalization. Patient-specific factors must be considered to develop equitable and effective measures in nursing homes to be prepared for future health threats.
000117664 536__ $$9info:eu-repo/grantAgreement/ES/DGA-GRISSA/B09-20R
000117664 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000117664 592__ $$a1.125$$b2022
000117664 590__ $$a5.2$$b2022
000117664 593__ $$aPublic Health, Environmental and Occupational Health$$c2022$$dQ1
000117664 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b25 / 180 = 0.139$$c2022$$dQ1$$eT1
000117664 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b43 / 207 = 0.208$$c2022$$dQ1$$eT1
000117664 594__ $$a3.8$$b2022
000117664 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117664 700__ $$0(orcid)0000-0003-1647-3462$$aMaldonado, Lina$$uUniversidad de Zaragoza
000117664 700__ $$aMarcos Campos, Iván
000117664 700__ $$0(orcid)0000-0002-5064-3763$$aCastel Feced, Sara$$uUniversidad de Zaragoza
000117664 700__ $$0(orcid)0000-0002-7194-8275$$aMalo, Sara$$uUniversidad de Zaragoza
000117664 700__ $$aAibar, Carlos
000117664 700__ $$0(orcid)0000-0002-6671-5661$$aRabanaque, MªJosé$$uUniversidad de Zaragoza
000117664 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000117664 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000117664 773__ $$g10 (2022), 928174 [12 pp]$$pFront. public health.$$tFrontiers in public health$$x2296-2565
000117664 8564_ $$s2997967$$uhttps://zaguan.unizar.es/record/117664/files/texto_completo.pdf$$yVersión publicada
000117664 8564_ $$s2283328$$uhttps://zaguan.unizar.es/record/117664/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
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000117664 951__ $$a2024-03-18-16:45:35
000117664 980__ $$aARTICLE