[Stratification of clinical risk groups in a population over 65 years: features and nursing assessment].

Autor:	Lozano-Vidal R; Área Básica de Salud Gavarra, Institut Català de la Salut, Cornellà de Llobregat, Barcelona, España. Electronic address: ruthlozanovidal@gmail.com., López-Pisa RM; Área Básica de Salud Gavarra, Institut Català de la Salut, Cornellà de Llobregat, Barcelona, España; Departamento de Enfermería de Salud Pública, Salud Mental y Maternoinfantil, Universidad de Barcelona, Barcelona, España., Boyero-Granados A; Área Básica de Salud Gavarra, Institut Català de la Salut, Cornellà de Llobregat, Barcelona, España., Recio-Ramos S; Área Básica de Salud Gavarra, Institut Català de la Salut, Cornellà de Llobregat, Barcelona, España., Padín-Minaya C; Área Básica de Salud Gavarra, Institut Català de la Salut, Cornellà de Llobregat, Barcelona, España., Garzón-Quiñones M; Centro de Salud Can Bou, Castelldefels, Barcelona, España., Rodríguez-Latre LM; SAP Baix Llobregat Centre, Institut Català de la Salut, Cornellà de Llobregat, Barcelona, España.
Jazyk:	Spanish; Castilian
Zdroj:	Enfermeria clinica [Enferm Clin] 2014 Sep-Oct; Vol. 24 (5), pp. 290-5. Date of Electronic Publication: 2014 Jul 22.
DOI:	10.1016/j.enfcli.2014.06.001
Abstrakt:	Objective: To analyze the characteristics of the population over 65 years served in a Basic Health Area, according to the Clinical Risk Group (CRG) classification and geriatric assessment test performed by the nurse in relation to their complexity. Methods: A descriptive, cross-sectional and observational prevalence study was conducted on the population over 65 years served in a Basic Health Area. The variables collected were: socio-demographic, CRG classification, diseases (ICD-10), healthcare activity, geriatric assessment, and preventive activities. The CRG classification was used as a measurement tool. Data was collected from the Primary Care computerized clinical history (e-CAP). Results: Population over 65 years: 3,219 people; served at home, 130 (4%), and in residential institutions, 92 (2.85%). The population was grouped into: CRG 1-2: 83 (2.5%); CRG 3: 62 (2%); CRG 4: 99 (3%); CRG 5: 537 (17%); CRG 6: 2,077 (64.5%); CRG 7: 276 (8.6%); CRG 8: 61 (2%); CRG 9: 14 (0.4%). Most frequent chronic diseases: 69.12% AHT; 24.94% DM; 19.51% depression; 11.09% kidney failure. The groups 6-7-8 that were analyzed included 2,414 people (75%). Of those within CRG 6-7-8, only 570 (24%) had tests carried out by the geriatric nurse. The mean number of individuals assigned by a nurse for CRG 6-7-8 was 302. Conclusions: The introduction of classification systems in clinical practice, such as the CRG, along with the use of the new information and communication technologies, helps to incorporate predictive models of health needs. It also promotes proactive actions by nurses and the team to prevent complications of diseases, as well as improving efficiency in the use of services and in care of the complex patients. (Copyright © 2014 Elsevier España, S.L.U. All rights reserved.)
Databáze:	MEDLINE
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