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1.
Enferm. clín. (Ed. impr.) ; 27(5): 303-307, sept.-oct. 2017. tab
Article in Spanish | IBECS | ID: ibc-166587

ABSTRACT

Objetivo: Valorar la adquisición de competencias en investigación y Salud Pública de los especialistas en Enfermería Familiar y Comunitaria. Método: Estudio descriptivo y analítico sobre población de enfermeros especialistas asociados a la Sociedad Enfermera Valenciana de Atención Primaria. Medido con cuestionario anónimo y autoadministrado sobre actividades implementadas y tiempo de rotación en el periodo de formación. Cuestionario realizado y revisado en base al programa formativo de la especialidad. Resultados: Responden 16 de los 41 especialistas. Existe representación de las cuatro promociones que han acabado su formación y siete unidades docentes nacionales. Los resultados muestran alta heterogeneidad en las actividades desarrolladas en la formación. La estancia media en Salud Pública es de 7,07 semanas, con rango de 0 a 16 semanas. El número de sesiones educativas medio es de 2,69 en los dos años. La media de proyectos de investigación es de 1,19. Conclusión: El resultado muestra un proceso de especialización con carencias formativas en las competencias de investigación y Salud Pública que podrían subsanarse. Algunos profesionales afirman que acaban la especialización sin desarrollar actividades de investigación y con rotatorios que no alcanzan los mínimos propuestos. No se observa proceso de mejora en las cuatro promociones estudiadas (AU)


Objective: To evaluate the acquisition of skills in research and public health specialists in family and community nursing. Method: Descriptive and analytical study on a population of specialist nurse members of with the Valencian Primary Nurse Society. Measured with anonymous self-administered questionnaire on activities implemented and turnaround time in the training period. The questionnaire was conducted and reviewed based on the training programme of the specialty. Results: Sixteen of the 41 specialists responded. The four year groups of nurses who had finished their training were represented as well as seven national teaching units. The results show high heterogeneity in the activities developed in the training. The average rotation in public health is 7.07 weeks, with range of 0 to 16 weeks. The mean number of educational sessions is 2.69 in the two years. The average number of research projects is 1.19. Conclusion: The result shows a specialisation process with training gaps in the skills of research and public health that could be remedied. Some practitioners claim that they finish their specialisation without undertaking research activities or completing the minimum proposed shifts. There is no process of improvement in the four year groups studied (AU)


Subject(s)
Humans , Clinical Nursing Research/trends , Community Health Nursing/trends , Family Nursing/trends , Clinical Competence , Public Health Nursing/trends , Specialization/trends , Cross-Sectional Studies , Health Care Surveys/statistics & numerical data
2.
Enferm Clin ; 27(5): 303-307, 2017.
Article in English, Spanish | MEDLINE | ID: mdl-28778518

ABSTRACT

OBJECTIVE: To evaluate the acquisition of skills in research and public health specialists in family and community nursing. METHOD: Descriptive and analytical study on a population of specialist nurse members of with the Valencian Primary Nurse Society. Measured with anonymous self-administered questionnaire on activities implemented and turnaround time in the training period. The questionnaire was conducted and reviewed based on the training programme of the specialty. RESULTS: Sixteen of the 41 specialists responded. The four year groups of nurses who had finished their training were represented as well as seven national teaching units. The results show high heterogeneity in the activities developed in the training. The average rotation in public health is 7.07 weeks, with range of 0 to 16 weeks. The mean number of educational sessions is 2.69 in the two years. The average number of research projects is 1.19. CONCLUSION: The result shows a specialisation process with training gaps in the skills of research and public health that could be remedied. Some practitioners claim that they finish their specialisation without undertaking research activities or completing the minimum proposed shifts. There is no process of improvement in the four year groups studied.


Subject(s)
Community Health Nursing/education , Family Nursing/education , Nursing Research , Professional Competence , Public Health , Adult , Cross-Sectional Studies , Female , Humans , Male , Spain
3.
Enferm. clín. (Ed. impr.) ; 24(5): 290-295, sept.-oct. 2014. graf, tab
Article in Spanish | IBECS | ID: ibc-127197

ABSTRACT

OBJETIVO: Analizar las características de la población mayor de 65 años atendida en un Área Básica de Salud según la clasificación de Clinical Risk Groups (CRG, «Grupos de Riesgo Clínico») y la valoración de los test geriátricos realizados por la enfermera en relación con la complejidad que presentan. MÉTODO: Estudio observacional, descriptivo transversal, realizado sobre la población mayor de 65 años atendidos en un Área Básica de Salud. Se recogieron variables sociodemográficas, clasificación CRG, enfermedades (CIE-10), actividad asistencial, valoración geriátrica y actividades preventivas. Se utilizó la clasificación CRG como instrumento de medida. La recogida de datos se realizó mediante la historia clínica informatizada (e-CAP) de Atención Primaria. RESULTADOS: Población mayor de 65 años: 3.219 personas; atendidas a domicilio 130 (4%), y en institución residencial, 92 (2,85%). La población se agrupó en: CRG 1-2: 83 (2,5%); CRG 3: 62 (2%); CRG 4: 99 (3%); CRG 5: 537 (17%); CRG 6: 2077 (64,5%); CRG 7: 276 (8,6%); CRG 8: 61 (2%); CRG 9: 14 (0,4%). Las enfermedades crónicas más frecuentes fueron: 69,12% HTA, 24,94% DM, 19,51% depresión y 11,09% insuficiencia renal. Se analizaron los grupos 6-7-8, que incluían 2.414 personas (75%). De las personas con CRG 6-7-8, solamente 570 (24%) tenían test geriátricos realizados por la enfermera. La media de personas asignadas por enfermera para CRG 6-7-8 fue de 302. CONCLUSIONES: En la práctica clínica, la incorporación de sistemas de clasificación como los CRG conjuntamente con el uso de las nuevas tecnologías de la información y la comunicación permite incorporar modelos predictivos de necesidades sanitarias e impulsar acciones proactivas por parte de enfermería y del equipo para prevenir complicaciones de enfermedades, y mejorar la eficiencia tanto en la utilización de servicios como en la atención a la complejidad


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


Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Nursing Diagnosis/methods , Triage/methods , Primary Health Care/organization & administration , Chronic Disease/epidemiology , Risk Groups , Diagnosis-Related Groups/organization & administration , Comorbidity/trends , Risk Factors
4.
Enferm Clin ; 24(5): 290-5, 2014.
Article in Spanish | MEDLINE | ID: mdl-25059515

ABSTRACT

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.


Subject(s)
Geriatric Assessment , Geriatric Nursing , Nursing Assessment , Patients/classification , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Male , Risk Assessment
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