Estudio de costes de la gripe

Llach, Xavier Badía; Gamisans, M. Roset; Tudel, José M. Francés; Sanz, Concha Álvarez; Terrés, Carlos Rubio

doi:10.1157/13092984

Cited by 22 publications

(12 citation statements)

References 13 publications

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“…the patients affected by the former were young adults, whereas the highest incidence of the latter occurs in elderly subjects (over 65 years of age) and in children under 2 years of age. (1,3,6,10,12,15) The results indicated higher percentages of cases among young adults and a low incidence among elderly subjects, suggesting that there are differences between the age group of the patients hospitalized for influenza A (H1N1) 2009 infection and the age group of the population in the state…”

Section: Resultsmentioning

confidence: 99%

“…(2) The ability of the virus to spread and disseminate is high and can impact morbidity and mortality in specific groups of the population. (3,4) In general, influenza presents as an asymptomatic or oligosymptomatic viral infection with a benign, self-limiting course. However, the severity of the disease can be affected by different geographic contexts and seasonal conditions, and can also vary depending on whether or not the virus will adapt to its new host.…”

Section: Introductionmentioning

confidence: 99%

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Influenza pandêmica A (H1N1) 2009: fatores de risco para o internamento

et al. 2012

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Objective: To evaluate pandemic influenza A (H1N1) 2009 in hospitalized patients in order to identify risk factors for hospitalization and, consequently, for the worsening of the disease. Methods: This retrospective observational study was conducted between March and December of 2010. The data were collected from the Brazilian Ministry of Health National Case Registry Database. We included only patients (inpatients and outpatients) in whom H1N1 infection was confirmed (via laboratory testing) during the study period. The variables regarding demographic and clinical characteristics were statistically evaluated in order to compare the hospitalization rates in the presence or absence of these factors. Risk factors were identified by logistic regression analysis. Results: We included 4,740 patients with laboratory confirmation of H1N1 infection. Of these, 1,911 individuals were hospitalized, and 258 (13.5%) died. The risk factors for hospitalization were age (20-29 years), African or Indigenous ethnicity, presence of specific comorbidities (heart disease, lung disease, kidney disease, hemoglobinopathy, immunosuppression, diabetes, obesity, puerperium, and smoking), a high number of comorbidities, and specific symptoms (dyspnea, diarrhea, vomiting, chest pain, hemoptysis, pneumonia, and wheezing). Higher levels of education and early use of oseltamivir were found to be protective factors. Hospitalization contributed to an increase in survival. Conclusions: Knowledge of the epidemiological characteristics that can be associated with hospitalization, disease severity, and mortality can be helpful in the adoption of preventive measures, as well as in the early diagnosis and treatment of disease, which might contribute to the reduction in the numbers of hospitalizations and deaths.Keywords: Influenza A virus, H1N1 subtype; Hospitalization; Risk factors; Oseltamivir. ResumoObjetivo: Avaliar os aspectos da influenza pandêmica A (H1N1) 2009 em pacientes hospitalizados a fim de identificar os fatores de risco para o internamento e, consequentemente, para o agravamento da doença. Métodos: Estudo observacional e retrospectivo realizado entre março e dezembro de 2010. Os dados foram coletados a partir do Sistema Nacional de Agravos de Notificação do Ministério da Saúde. Foram incluídos somente os pacientes hospitalizados e não hospitalizados com confirmação laboratorial da infecção durante o período de estudo. As variáveis referentes às características demográficas e clínicas foram avaliadas estatisticamente a fim de comparar as taxas de internamento na presença ou na ausência desses fatores. Os fatores de risco foram identificados por regressão logística. Resultados: Foram incluídos no estudo 4.740 pacientes com confirmação laboratorial da infecção. Desses, 1.911 foram internados, e 258 (13,5%) foram a óbito. Os fatores de risco para o internamento foram idade (faixa etária de 20 a 29 anos), etnia negra ou indígena, presença de algumas comorbidades (cardiopatias, pneumopatias, nefropatias, hemoglobinopatia, imunodepres...

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influenza pandêmica A (H1N1) 2009: fatores de risco para o internamento

et al. 2012

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“…Previous experience in similar care complexes placed the average cost for hospitalized patients at 6236 euros. 7 To this, we must add the indirect costs, since each case of influenza is associated with 5-6 days of limited activity and about 3 days of work absenteeism. 36 Cost analysis is required to determine the specific economic impact of real-time surveillance systems such as the one we propose.…”

Section: P-valuementioning

confidence: 99%

“…6 The high incidence of this pathology and its complications determined a notable increase in the demand for care. 7 Previous research places the costs associated with a flu season above 1 billion euros. One-quarter of the total correspond to direct health expenses, while the remaining three-quarters are associated with labor costs.…”

Section: Introductionmentioning

confidence: 99%

Real‐time surveillance systems: Applicability for the control of influenza in acute care

Quirós‐González

Rodríguez-Pérez

Haro-Pérez

et al. 2020

Influenza Resp Viruses

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Background:The high morbidity and mortality caused by influenza viruses translate into a great impact on specialized health care. Apart from the annual vaccination, the relevance of other measures to prevent and control this infection is unknown. The objective of our research was to determine the importance of a real-time surveillance system to establish early extended transmission precautions. Methods: Quasi-experimental before-and-after study comparing the influenza cases detected in hospitalized adults during the 2016/2017 season (264 patients) with those detected after the implementation of a real-time surveillance system in the 2017/2018 season (519 patients). The improvements included early microbiological diagnosis, immediate communication of results, constant updating of patient information, coordination among professionals, periodic surveillance of the adequacy of preventive measures, and greater control of roommates. The effectiveness of the intervention was determined from the nosocomial infection rate in each season.Results: After the real-time surveillance system for influenza was implemented, patients with early microbiological diagnosis and immediate isolation increased significantly (13.7% vs 68.2%; P < .001). In addition, nosocomial infections decreased from 17% to 9.2% (P = .001) and overall hospital stay was significantly reduced. Assuming that the entire effect was due to the intervention, the absolute risk reduction was 7.8% and number needed to treat was 12.8. Conclusion:The results in our study reveal the impact of nosocomial transmission of influenza virus in a tertiary hospital and highlight the need to supplement traditional strategies with novel methodologies such as modern surveillance systems based on early diagnosis, close case monitoring, and coordination among professionals. K E Y W O R D Scross-infection, influenza, microbiology, preventive medicine, vaccination

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“…El número de admisiones hospitalarias (AH) asociadas a la gripe para ese periodo fue de 5.830 personas. Según el estudio de Badia et al (2006) realizado sobre una muestra longitudinal y multicéntrica de 662 individuos en España los costes hospitalarios y los costes de absentismo laboral asociados a la gripe representan la mayor carga económica de este fenómeno, siendo el coste muy superior entre los pacientes considerados grupos de riesgo y especialmente en los casos crónicos. De acuerdo a este trabajo, la epidemia de gripe en España durante el año previo al periodo de estudio aquí planteado, para una incidencia media estimada del 7,9 %, supuso un coste de 1.036 millones de euros.…”

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Tipos de tiempo y admisiones hospitalarias asociadas a la gripe en Galicia en el periodo 2003-2013

Hernáez¹,

Royé²,

Ezpeleta³

2016

Clima, Sociedad, Riesgos Y Ordenación Del Territorio

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RESUMENEl objetivo del trabajo es estudiar la relación entre los ingresos en hospitales públicos asociados a la gripe y los tipos de tiempo en la Comunidad Autónoma de Galicia para el periodo [2003][2004][2005][2006][2007][2008][2009][2010][2011][2012][2013]. Para ello se emplean dos clasificaciones diferentes. Con la primera de ámbito peninsular se definen los riesgos relativos asociados a cada categoría en relación a las admisiones hospitalarias asociadas al código gripe. Con la segunda centrada en Galicia se interpretan las situaciones sinópticas en relación a la evolución de las tasas de gripe y las admisiones hospitalarias desde un enfoque biometeorológico. Los resultados obtenidos indican que el riesgo de ingresos asociados a la gripe en Galicia es mayor con tipos de circulación atmosférica propios del 3º y 4º cuadrante cuando acontecen precedidos de situaciones de primer y segundo cuadrante. Algunos aspectos sociales son también importantes en explicar los incrementos de ingresos hospitalarios.Palabras clave: Influenza, tipo de tiempo, riesgo relativo, admisiones hospitalarias. ABSTRACTThe aim of this work is to study the relationship between influenza related public hospitals admissions and circulation weather types in the Autonomous Community of Galicia (Northern Spain) for the period 2003-2013. Initially a CWT for the Iberian Peninsula is used to model the relative risk of each category in relation to admissions. Moreover a second much more specific classification, focused on Galicia region is considered in order to validate the theory related to the link between a specific spell in weather types can facilitate the spreading of the influenza epidemic and consequently increase the number of influenza related hospital admissions in Galicia. The results indicate that the risk of hospital admissions associated with influenza in Galicia is higher with types of atmospheric circulation of the 3rd and 4th quadrant preceded by first and second quadrant weather types. Some social aspects are also important in explaining increases in influenza-relate hospital admissions.

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Estudio de costes de la gripe

Abstract: Influenza costs fall mainly on hospitals and work through time off. The cost of flu is higher among patients considered to be risk groups.

Cited by 22 publications

References 13 publications

Influenza pandêmica A (H1N1) 2009: fatores de risco para o internamento

Influenza pandêmica A (H1N1) 2009: fatores de risco para o internamento

Real‐time surveillance systems: Applicability for the control of influenza in acute care

Tipos de tiempo y admisiones hospitalarias asociadas a la gripe en Galicia en el periodo 2003-2013

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