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1.
Rev Esp Salud Publica ; 85(1): 113-20, 2011.
Article in Spanish | MEDLINE | ID: mdl-21750850

ABSTRACT

BACKGROUND: A wave of influenza A (H1N1) 2009 was registered in the summer of 2009. We evaluated its repercussion on primary care consultations not diagnosed as influenza. METHODS: We analysed primary care consultations in the Navarre Health Service from 21 June to 21 September 2009 with a diagnosis of influenza (International Classification of Primary Care, code R80), febrile syndrome (code A03), acute upper respiratory tract infection (code R74), or acute bronchitis (code R78); these consultations were then compared with those occurring in the same period in the three previous years. RESULTS: In the summer of 2009, 3,417 cases of influenza syndrome (5.5 per 1000 population) were reported. An flu outbreak occurred between week 27 and 31, with over the mild (87/160) of swabs from patients with influenza syndrome positive for the virus A (H1N1), with no other influenza types detected. Coinciding with the wave of influenza syndromes, we observed increases in consultations for febrile syndrome and upper respiratory tract infection. In comparison with the mean for the three previous years, in the summer of 2009 consultations for febrile syndrome increased by 44% (3.6 to 5.3 per 1000; p<0.001), consultations for upper respiratory tract infection by 6% (13.2 to 14.1 per 1000; p<0.001), and consultations for bronchitis by 8% (6.3 to 6.9 per 1000; p<0.003). These diagnoses represented 3.2 additional consultations per 1000 population attributable to influenza, that is, 58% more consultations. CONCLUSIONS: Influenza gives rise to increased primary care consultations for influenza syndrome as well as for other less important processes.


Subject(s)
Disease Outbreaks , Fever/epidemiology , Influenza A Virus, H1N1 Subtype , Influenza, Human/epidemiology , Primary Health Care/statistics & numerical data , Respiratory Tract Infections/epidemiology , Adolescent , Adult , Child , Child, Preschool , Humans , Infant , Middle Aged , Referral and Consultation , Young Adult
2.
Rev. esp. salud pública ; 85(1): 121-128, ene.-mar. 2011. tab, ilus
Article in Spanish | IBECS | ID: ibc-86103

ABSTRACT

Fundamento: En verano de 2009 se registró en Navarra una onda de gripe A (H1N1) 2009. Evaluar su repercusión en consultas de atención primaria con diagnóstico diferente al de gripe. Métodos: Estudiamos las consultas en atención primaria del Servicio Navarro de Salud desde el 21 de junio y al 21 de septiembre de 2009 con diagnósticos de gripe (Clasificación Internacional de Atención Primaria, código R80), síndrome febril (código A03), infección respiratoria aguda de vías altas (código R74) y bronquitis aguda (código R78), y las comparamos con las registradas en el mismo periodo en los tres años previos. Resultados: En verano de 2009 se notificaron 3417 casos de síndrome gripal (5,5 por 1.000 habitantes). Entre las semanas 27 y 31 se produjo un brote de gripe, con más de la mitad (87/160) de los frotis de pacientes con síndrome gripal positivos para el virus (H1N1) 2009 sin detectarse otros tipos de virus gripal. Coincidiendo con la onda de síndromes gripales observamos aumentos de consultas por síndrome febril e infección respiratoria de vías altas. En comparación con la media de los tres años anteriores, en el verano del 2009 se produjo un incremento del 44% en consultas por síndrome febril (de 3,6 a 5,3 por 1000: p<0,001), del 6% en consultas por infección de vías altas (de 13,2 a 14,1 por 1000; p<0,001) y del 8% en consultas por bronquitis aguda (de 6,3 a 6,9 por 1000; p=0,003). Estos diagnósticos supusieron 3,2 consultas adicionales por 1.000 habitantes atribuibles a la gripe, es decir, un 58% de consultas adicionales. Conclusiones: La gripe se acompaña de aumento en el número de consultas por síndrome febril y por infección respiratoria de vías altas(AU)


Background:Awave of influenza A(H1N1)2009 was registered in the summer of 2009. We evaluated its repercussion on primary care consultations not diagnosed as influenza. Methods: We analysed primary care consultations in the Navarre Health Service from 21 June to 21 September 2009 with a diagnosis of influenza (International Classification of Primary Care, code R80), febrile syndrome (code A03), acute upper respiratory tract infection (code R74), or acute bronchitis (code R78); these consultations were then compared with those occurring in the same period in the three previous years. Results: In the summer of 2009, 3,417 cases of influenza syndrome (5.5 per 1000 population) were reported. An flu outbreak occurred between week 27 and 31, with over the mild (87/160) of swabs from patients with influenza syndrome positive for the virus A(H1N1), with no other influenza types detected. Coinciding with the wave of influenza syndromes, we observed increases in consultations for febrile syndrome and upper respiratory tract infection. In comparison with the mean for the three previous years, in the summer of 2009 consultations for febrile syndrome increased by 44% (3.6 to 5.3 per 1000; p<0.001), consultations for upper respiratory tract infection by 6% (13.2 to 14.1 per 1000; p<0.001), and consultations for bronchitis by 8% (6.3 to 6.9 per 1000; p<0.003). These diagnoses represented 3.2 additional consultations per 1000 population attributable to influenza, that is, 58% more consultations. Conclusions: Influenza gives rise to increased primary care consultations for influenza syndrome as well as for other less important processes(AU)


Subject(s)
Humans , Male , Female , Primary Health Care/methods , Primary Health Care/statistics & numerical data , Health Services Administration , Respiratory Tract Infections/epidemiology , Influenza, Human/epidemiology , Fever/complications , Fever/epidemiology , Disease Outbreaks/prevention & control , Disease Outbreaks/statistics & numerical data , Health Services/statistics & numerical data , Health Services/trends , Influenza A Virus, H1N1 Subtype/metabolism , Influenza A Virus, H1N1 Subtype/pathogenicity , Referral and Consultation/statistics & numerical data , Referral and Consultation
3.
BMC Public Health ; 8: 281, 2008 Aug 08.
Article in English | MEDLINE | ID: mdl-18691407

ABSTRACT

BACKGROUND: Preventive activities carried out in primary care have important variability that makes necessary to know which factors have an impact in order to establish future strategies for improvement. The present study has three objectives: 1) To describe the variability in the implementation of 7 preventive services (screening for smoking status, alcohol abuse, hypertension, hypercholesterolemia, obesity, influenza and tetanus immunization) and to determine their related factors; 2) To describe the degree of control of 5 identified health problems (smoking, alcohol abuse, hypertension, hypercholesterolemia and obesity); 3) To calculate intraclass correlation coefficients. DESIGN: Multi-centered cross-sectional study of a randomised sample of primary health care teams from 3 regions of Spain designed to analyse variability and related factors of 7 selected preventive services in years 2006 and 2007. At the end of 2008, we will perform a cross-sectional study of a cohort of patients attended in 2006 or 2007 to asses the degree of control of 5 identified health problems. All subjects older than 16 years assigned to a randomised sample of 22 computerized primary health care teams and attended during the study period are included in each region providing a sample with more than 850.000 subjects. The main outcome measures will be implementation of 7 preventive services and control of 5 identified health problems. Furthermore, there will be 3 levels of data collection: 1) Patient level (age, gender, morbidity, preventive services, attendance); 2) Health-care professional level (professional characteristics, years working at the team, workload); 3) Team level (characteristics, electronic clinical record system). Data will be transferred from electronic clinical records to a central database with prior encryption and dissociation of subject, professional and team identity. Global and regional analysis will be performed including standard analysis for primary health care teams and health-care professional level. Linear and logistic regression multilevel analysis adjusted for individual and cluster variables will also be performed. Variability in the number of preventive services implemented will be calculated with Poisson multilevel models. Team and health-care professional will be considered random effects. Intraclass correlation coefficients, standard error and variance components for the different outcome measures will be calculated.


Subject(s)
Practice Patterns, Physicians'/statistics & numerical data , Preventive Health Services/statistics & numerical data , Primary Health Care/standards , Adolescent , Adult , Alcohol Drinking , Cross-Sectional Studies , Female , Humans , Hypercholesterolemia/diagnosis , Hypertension/diagnosis , Male , National Health Programs , Obesity/diagnosis , Primary Health Care/statistics & numerical data , Regression Analysis , Smoking , Spain
4.
Rev. calid. asist ; 19(3): 177-188, abr. 2004. tab, graf
Article in Es | IBECS | ID: ibc-32817

ABSTRACT

La gestión de la calidad en el Sistema Sanitario Público Navarro tiene 3 ámbitos principales de actuación: la atención primaria, la atención especializada y la coordinación entre ambos niveles de atención. El pilar básico del Programa de Gestión de la Calidad de Atención Primaria es el desarrollo y potenciación de los Programas de Mejora Internos, para lo que se cuenta con la implicación de los profesionales. El Programa de Gestión de la Calidad es un apoyo para el desarrollo del Plan de Gestión cuyos componentes básicos están en relación con la cartera de servicios, los indicadores específicos de calidad, los planes de mejora internos y la utilización de recursos. Los contratos-programa, el modelo MAPPA-Horizonte y la estrategia corporativa de análisis de percepción de la calidad de los distintos actores constituyen el armazón que sustenta la política de calidad en el ámbito de atención especializada. El Plan de Coordinación y la Estructura de Coordinación, que incluye un equipo técnico de coordinación y 18 grupos de mejora, son los elementos clave para el desarrollo de las líneas estratégicas en el ámbito de actuación de la coordinación primaria-especializada (AU)


Subject(s)
Humans , Accreditation/methods , 34002 , Quality Indicators, Health Care/statistics & numerical data , Local Health Systems , Health Policy , Primary Health Care/organization & administration , Local Health Strategies , Structure of Services
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