Smoking may increase the risk of influenza hospitalization and reduce influenza vaccine effectiveness in the elderly.

Background: Through its effects on the immune system, smoking may facilitate influenza virus infection, its severity and its most frequent complications. The objective was to investigate the smoking history as a risk factor for influenza hospitalization and influenza vaccine effectiveness in elderly smokers/ex-smokers and non-smokers. Methods: We carried out a multicenter case-control study in the 2013-2014 and 2014-2015 influenza seasons. Cases aged ≥65 years and age-, sex-matched controls were selected from 20 Spanish hospitals. We collected epidemiological variables, comorbidities, vaccination history and the smoking history. The risk of hospitalization due to smoking (current smokers and ex-smokers) was determined using the adjusted odds ratio (aOR) with conditional logistic regression models. Vaccine effectiveness (VE) was calculated using the formula: VE = (1 - aOR) × 100. Results: We studied 728 cases and 1826 controls. Cases had a higher frequency of smoking (47.4% vs 42.1%). Smoking was associated with an increased risk of influenza hospitalization (aOR = 1.32, 95% CI: 1.04-1.68). Influenza vaccine effectiveness in preventing hospitalization was 21% (95% CI: -2 to 39) in current/ex-smokers and 39% in non-smokers (95% CI: 22-52). Conclusions: A history of smoking may increase the risk of hospitalization in smokers and ex-smokers. Preventing smoking could reduce hospitalizations due to influenza. Smokers and ex-smokers should be informed of the risk of hospitalization due to influenza infection, and encouraged to stop smoking. Smokers should be considered an at-risk group to be aggressively targeted for routine influenza vaccination.

The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15.

Influenza vaccination may limit the impact of influenza in the community. The aim of this study was to assess the effectiveness of influenza vaccination in preventing hospitalisation in individuals aged ≥ 65 years in Spain. A multicentre case-control study was conducted in 20 Spanish hospitals during 2013/14 and 2014/15. Patients aged ≥ 65 years who were hospitalised with laboratory-confirmed influenza were matched with controls according to sex, age and date of hospitalisation. Adjusted vaccine effectiveness (VE) was calculated by multivariate conditional logistic regression. A total of 728 cases and 1,826 matched controls were included in the study. Overall VE was 36% (95% confidence interval (CI): 22-47). VE was 51% (95% CI: 15-71) in patients without high-risk medical conditions and 30% (95% CI: 14-44) in patients with them. VE was 39% (95% CI: 20-53) in patients aged 65-79 years and 34% (95% CI: 11-51) in patients aged ≥ 80 years, and was greater against the influenza A(H1N1)pdm09 subtype than the A(H3N2) subtype. Influenza vaccination was effective in preventing hospitalisations of elderly individuals.

Factors associated with acceptance of pandemic flu vaccine by healthcare professionals in Spain, 2009-2010.

The A(H1N1)pdm09 influenza virus reached pandemic level in Spain in 2009, prompting a national vaccination campaign. To avoid transmission to patients, healthcare professionals' vaccination against pandemic influenza is crucial. The main objective of this study was to analyze factors associated with the failure by healthcare professionals to accept the pandemic vaccination in 2009. A cross-sectional survey was conducted of healthcare professionals in seven of Spain's autonomous regions. A questionnaire was used to collect information about personal and professional details, the respondents' flu vaccination status in the 2008-2009 and 2009-2010 seasons (seasonal and pandemic vaccines), and their knowledge and attitudes. A total of 1,661 professionals completed the survey. In the 2009-2010 season, 38.2% had both the seasonal and the pandemic vaccine, 22.1% had had only the seasonal, and 4.7% only the pandemic vaccine. The strongest predictor of not receiving the pandemic vaccine was not having had seasonal vaccinations in that year or the previous year. Those who had not received the pandemic vaccine were more often female; nurses; under 45; denied contact with at-risk groups; and had negative beliefs about the vaccine effectiveness and little concern for getting the disease, being infected at work, or passing it on to patients. It would be prudent to direct preventive campaigns not only at individuals at risk of catching flu but also at health professionals with a negative view of flu vaccine, with a particular focus on nurses, who have a key role in recommending flu vaccine.

La vigilancia en España 3 años después de la entrada en vigor de la Ley General de Salud Pública / Surveillance in Spain 3 years since the enactment of the Public Health Law

En 2014, el Grupo de Trabajo de Vigilancia Epidemiológica de la Sociedad Española de Epidemiología llevó a cabo un estudio descriptivo con el fin de evaluar el desarrollo de la Ley General de Salud Pública, promulgada en España en 2011. Se remitió una encuesta a las 19 comunidades y ciudades autónomas para evaluar la existencia de sistemas de información y otros aspectos de los distintos apartados de vigilancia incluidos en la ley. Todas disponían de un sistema de información para enfermedades transmisibles y en seis para condicionantes sociales; 18 vigilaban al menos una enfermedad crónica y 14 alguno de sus determinantes. El 100% analizaba sistemáticamente la información procedente de la vigilancia de las enfermedades transmisibles. Hay margen de mejora para la vigilancia de la salud pública en España. La acción debe ir dirigida a los principales problemas de salud (AU)

In 2014, the Epidemiological Surveillance Working Group of the Sociedad Española de Epidemiología (Spanish Society of Epidemiology), carried out a descriptive study in order to evaluate the level of development of the Spanish Public Health Law since its enactment in 2011. A survey collecting data on the existence of information systems and other aspects pertaining to each surveillance section included in the law was sent to all 19 autonomous communities and cities. All regional authorities reported the presence of an information system for communicable diseases, and six also reported an information system for social factors. 18 reported that at least one chronic disease was subject to surveillance and 14 confirmed surveillance of some of its determinants. They all systematically analysed the data derived from the communicable diseases. There is room for improvement in Public Health surveillance in Spain, and action should be aimed at the main health problems (AU)

Economic Evaluation of Health Services Costs During Pandemic Influenza A (H1N1) Pdm09 Infection in Pregnant and Non-Pregnant Women in Spain.

BACKGROUND: The healthcare and socio-economic burden resulting from influenza A (H1N1) pdm09 in Spain was considerable. Our aim was to estimate and compare the management (resource utilization) and economic healthcare impact in an at-risk group of unvaccinated pregnant women with an unvaccinated group of non-pregnant woman of childbearing age (15-44 yr old). METHODS: We addressed this question with a longitudinal, observational, multicentre study. Inputs were the requirements in managing both groups of women. Outcome measures were healthcare costs. Direct healthcare (including medical utilisation, prescriptions of antivirals, medication, diagnostic tests, and hospitalisation) costs and indirect (productivity loss) costs were considered. Unit of cost was attributed to the frequency of health service resources utilisation. The mean cost per patient was calculated in this group of women. RESULTS: We found that the influenza clinical pattern was worse in non-pregnant women as they had a high medical risk of 20.4% versus 6.1% of pregnant women. Non-pregnant required more antipyretics and antibiotics, and needed more health service resource utilisation (338 medical visits in non-pregnant women vs. 42 in pregnant women). The total cost of non-pregnant women was higher (€4,689.4/non-pregnant and €2,945.07/pregnant). CONCLUSIONS: Cost per (H1N1) pdm09 was lower for pregnant women, probably due to more preventive measures adopted for their protection in Spain. The highest costs were incurred by hospitalisations/day and work absenteeism for non-pregnant than for pregnant women. These data will allow better future pandemic influenza planning.

Índice de masa corporal elevado como factor de riesgo de hospitalización por gripe: estudio de casos y controles / High Body Mass Index as a Risk Factor for Hospitalization Due to Influenza: A Case-Control Study

Introducción: Durante la pandemia de la gripe A (H1N1)pdm09 la obesidad emergió como un predictor signficativo de gravedad. El objetivo de este estudio fue investigar la asociación entre el índice de masa corporal (IMC) y el riesgo de hospitalización por gripe. Métodos: Pacientes hospitalizados (n = 755) con gripe confirmada por el laboratorio se emparejaron individualmente con pacientes ambulatorios (n = 783) con gripe confirmada por el laboratorio y con controles ambulatorios (n = 950) según edad, fecha de ingreso/visita y provincia. El IMC se comparó mediante una regresión logística condicional ajustada a los posibles factores de confusión (ORa). Se calculó la fracción atribuible poblacional (FAP). Resultados: Los valores elevados de IMC se asociaron a mayor riesgo de hospitalización, en comparación con los casos ambulatorios (ORa = 1,11; IC95%: 1,07-1,16) y con los controles ambulatorios (ORa = 1,04; IC95%: 1,01-1,07). En comparación con el peso normal, la obesidad tipoI, la obesidad tipo II y la obesidad tipo III se asociaron a mayor probabilidad de hospitalización, en comparación con los casos ambulatorios (ORa = 1,85; IC 95%: 1,05-3,26; ORa = 5,24; IC 95%: 1,94-14,15 y ORa = 44,38; IC 95%: 4,47-440,5). En comparación con el peso normal, la obesidad tipoII y la obesidad tipo III se asociaron a mayor probabilidad de hospitalización, en comparación con los controles ambulatorios (ORa = 4,37; IC 95%: 1,79-10,69 y ORa = 4,95; IC 95%: 1,45-16,87). En los sujetos no vacunados de la gripe todas las categorías de IMC ≥ 30kg/m2 se asociaron a mayor probabilidad de hospitalización, en comparación con el peso normal, tanto en los casos ambulatorios como en los controles ambulatorios. La FAP de hospitalización por gripe atribuible al IMC se situó entre el 21,9 y el 8,5%, y en los sujetos no vacunados de la gripe, entre el 20,5 y el 16,9%. Conclusión: Un IMC elevado se asocia a mayor riesgo de hospitalización por gripe. Un alto porcentaje de los ingresos hospitalarios son atribuibles al IMC, especialmente en los sujetos no vacunados

Introduction: Obesity has emerged as a significant independent predictor of severity in pandemic influenzaA (H1N1)pdm09. The aim of this study was to investigate the association between body mass index (BMI) and the risk of hospitalization due to influenza. Methods: Hospitalized patients (n=755) with laboratory-confirmed influenza were individually matched by age, admission/visit date, and province with an outpatient (n=783) with laboratory-confirmed influenza and an outpatient control (n=950). We compared the BMI using conditional logistic regression adjusted for potential confounding factors (aOR). The population attributable fraction (PAF) was calculated. Results: A higher BMI was associated with an increased risk of hospitalization compared to both outpatient cases (aOR = 1.11; 95% CI: 1.07-1.16) and outpatient controls (aOR = 1.04; 95% CI: 1.01-1.07). Compared with normal weight, obesity type I, obesity type II and obesity typeIII was associated with a greater likelihood of hospitalization compared with outpatient cases (aOR = 1.85, 95% CI: 1.05-3.26; aOR = 5.24, 95% CI: 1.94-14.15 and aOR = 44.38, 95% CI: 4.47-440.5). Compared with normal weight, obesity type II and obesity type III was associated with a greater likelihood of hospitalization compared with outpatient controls (aOR = 4.37, 95% CI: 1.79-10.69 and aOR = 4.95, 95% CI: 1.45-16.87). In persons without influenza vaccination, all categories of BMI ≥ 30kg/m2 were associated with a greater likelihood of hospitalization compared with normal weight in both outpatient cases and outpatient controls. The PAF of hospitalization by influenza due to BMI ranged from 21.9% to 8.5%; in the case of unvaccinated against influenza between 20.5% to 16.9%. Conclusion: A high BMI is associated with an increased risk of hospitalization due to influenza. High percentage of hospital admissions are attributable to their BMI, especially in non vaccinated

[Surveillance in Spain 3 years since the enactment of the Public Health Law]. / La vigilancia en España 3 años después de la entrada en vigor de la Ley General de Salud Pública.

In 2014, the Epidemiological Surveillance Working Group of the Sociedad Española de Epidemiología (Spanish Society of Epidemiology), carried out a descriptive study in order to evaluate the level of development of the Spanish Public Health Law since its enactment in 2011. A survey collecting data on the existence of information systems and other aspects pertaining to each surveillance section included in the law was sent to all 19 autonomous communities and cities. All regional authorities reported the presence of an information system for communicable diseases, and six also reported an information system for social factors. 18 reported that at least one chronic disease was subject to surveillance and 14 confirmed surveillance of some of its determinants. They all systematically analysed the data derived from the communicable diseases. There is room for improvement in Public Health surveillance in Spain, and action should be aimed at the main health problems.

Factors associated with pneumococcal polysaccharide vaccination of the elderly in Spain: A cross-sectional study.

Vaccination of the elderly is an important factor in limiting the impact of pneumonia in the community. The aim of this study was to investigate the factors associated with pneumococcal polysaccharide vaccination in patients aged ≥ 65 years hospitalized for causes unrelated to pneumonia, acute respiratory disease, or influenza-like illness in Spain. We made a cross-sectional study during 2013-2014. A bivariate analysis was performed comparing vaccinated and unvaccinated patients, taking into account sociodemographic variables and risk medical conditions. A multivariate analysis was performed using multilevel regression models. 921 patients were included; 403 (43.8%) had received the pneumococcal vaccine (394 received the polysaccharide vaccine). Visiting the general practitioner ≥ 3 times during the last year (OR = 1.79; 95% CI 1.25-2.57); having received the influenza vaccination in the 2013-14 season (OR = 2.57; 95% CI 1.72-3.84) or in any of the 3 previous seasons (OR = 11.70; 95% CI 7.42-18.45) were associated with receiving the pneumococcal polysaccharide vaccine. Pneumococcal vaccination coverage of hospitalized elderly people is low. The elderly need to be targeted about pneumococcal vaccination and activities that encourage healthcare workers to proactively propose vaccination might be useful. Educational campaigns aimed at the elderly could also help to increase vaccination coverages and reduce the burden of pneumococcal disease in the community.

Smoking may increase the risk of hospitalization due to influenza.

BACKGROUND: Smoking may facilitate influenza virus infections and their severity. The objective was to investigate the risk of hospitalization due to influenza in Spanish smokers and ex-smokers. METHODS: We carried out a multicentre, case-control study in 2011. Cases [patients ≥ 18 years hospitalized > 24 h with real time polymerase chain reaction (RT-PCR)-confirmed influenza] were selected from 29 Spanish hospitals. For each case, we selected an outpatient aged ≥ 18 years with RT-PCR-confirmed influenza matched by age (±5 years), date of hospitalization of the case (±10 days) and province of residence. We collected epidemiological variables, comorbidities and the smoking history. The risk of hospitalization due to smoking was determined by the adjusted odds ratio (aOR) using logistic regression. RESULTS: We studied 471 hospitalized cases and 476 outpatient cases. Hospitalized cases had a higher frequency of influenza risk factors compared with outpatient cases. Hospitalized cases had a higher frequency of smoking (30.9% vs. 17.1%) and being ex-smokers (29.3% vs. 25.3%). Current smoking (aOR = 2.18, 95% CI: 1.23-3.87) and being an ex-smoker (aOR = 1.73, 95% CI: 1.07-2.82) were associated with the risk of hospitalization. CONCLUSIONS: Smoking may increase the risk of hospitalization in smokers and ex-smokers when infected by the influenza virus. Smoking prevention could reduce hospitalizations. Influenza vaccination is recommended for smokers.

Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes.

BACKGROUND: Obesity is a world-wide epidemic whose prevalence is underestimated by BMI measurements, but CUN-BAE (Clínica Universidad de Navarra - Body Adiposity Estimator) estimates the percentage of body fat (BF) while incorporating information on sex and age, thus giving a better match. Our aim is to compare the BMI and CUN-BAE in determining the population attributable fraction (AFp) for obesity as a cause of chronic diseases. METHODS: We calculated the Pearson correlation coefficient between BMI and CUN-BAE, the Kappa index and the internal validity of the BMI. The risks of arterial hypertension (AHT) and diabetes mellitus (DM) and the AFp for obesity were assessed using both the BMI and CUN-BAE. RESULTS: 3888 white subjects were investigated. The overall correlation between BMI and CUN-BAE was R(2) = 0.48, which improved when sex and age were taken into account (R(2) > 0.90). The Kappa coefficient for diagnosis of obesity was low (28.7 %). The AFp was 50 % higher for DM and double for AHT when CUN-BAE was used. CONCLUSIONS: The overall correlation between BMI and CUN-BAE was not good. The AFp of obesity for AHT and DM may be underestimated if assessed using the BMI, as may the prevalence of obesity when estimated from the percentage of BF.

Factors Associated with Influenza Vaccination of Hospitalized Elderly Patients in Spain.

Vaccination of the elderly is an important factor in limiting the impact of influenza in the community. The aim of this study was to investigate the factors associated with influenza vaccination coverage in hospitalized patients aged ≥ 65 years hospitalized due to causes unrelated to influenza in Spain. We carried out a cross-sectional study. Bivariate analysis was performed comparing vaccinated and unvaccinated patients, taking in to account sociodemographic variables and medical risk conditions. Multivariate analysis was performed using multilevel regression models. We included 1038 patients: 602 (58%) had received the influenza vaccine in the 2013-14 season. Three or more general practitioner visits (OR = 1.61; 95% CI 1.19-2.18); influenza vaccination in any of the 3 previous seasons (OR = 13.57; 95% CI 9.45-19.48); and 23-valent pneumococcal polysaccharide vaccination (OR = 1.97; 95% CI 1.38-2.80) were associated with receiving the influenza vaccine. Vaccination coverage of hospitalized elderly people is low in Spain and some predisposing characteristics influence vaccination coverage. Healthcare workers should take these characteristics into account and be encouraged to proactively propose influenza vaccination to all patients aged ≥ 65 years.

High Body Mass Index as a Risk Factor for Hospitalization Due to Influenza: A Case-Control Study. / Índice de masa corporal elevado como factor de riesgo de hospitalización por gripe: estudio de casos y controles.

INTRODUCTION: Obesity has emerged as a significant independent predictor of severity in pandemic influenzaA (H1N1)pdm09. The aim of this study was to investigate the association between body mass index (BMI) and the risk of hospitalization due to influenza. METHODS: Hospitalized patients (n=755) with laboratory-confirmed influenza were individually matched by age, admission/visit date, and province with an outpatient (n=783) with laboratory-confirmed influenza and an outpatient control (n=950). We compared the BMI using conditional logistic regression adjusted for potential confounding factors (aOR). The population attributable fraction (PAF) was calculated. RESULTS: A higher BMI was associated with an increased risk of hospitalization compared to both outpatient cases (aOR=1.11; 95%CI: 1.07-1.16) and outpatient controls (aOR=1.04; 95%CI: 1.01-1.07). Compared with normal weight, obesity type I, obesity type II and obesity type III was associated with a greater likelihood of hospitalization compared with outpatient cases (aOR=1.85, 95%CI: 1.05-3.26; aOR=5.24, 95%CI: 1.94-14.15 and aOR=44.38, 95%CI: 4.47-440.5). Compared with normal weight, obesity type II and obesity type III was associated with a greater likelihood of hospitalization compared with outpatient controls (aOR=4.37, 95%CI: 1.79-10.69 and aOR=4.95, 95%CI: 1.45-16.87). In persons without influenza vaccination, all categories of BMI≥30kg/m(2) were associated with a greater likelihood of hospitalization compared with normal weight in both outpatient cases and outpatient controls. The PAF of hospitalization by influenza due to BMI ranged from 21.9% to 8.5%; in the case of unvaccinated against influenza between 20.5% to 16.9%. CONCLUSION: A high BMI is associated with an increased risk of hospitalization due to influenza. High percentage of hospital admissions are attributable to their BMI, especially in non vaccinated.

Influenza vaccination of primary healthcare physicians may be associated with vaccination in their patients: a vaccination coverage study.

BACKGROUND: To assess the contribution of physician-related factors, especially their influenza vaccine status, in the vaccination coverage of their patients. METHODS: A study of vaccination coverage was carried out in Spain in 2011-12. The dependent variable (vaccination coverage in patients aged ≥ 65 years) was obtained from regional records. Information was gathered on the vaccination of physicians through an anonymous web survey. We compared the vaccination coverage of patients with the vaccination of their physicians using the Student t test. Associations were determined using a multilevel regression model. RESULTS: The coverage in patients aged ≥ 65 years was 56.3% and was higher (57.3%) in patients whose physician had been vaccinated than in those whose physician had not (55.2%) (p = 0.008). In the multilevel regression model, vaccination of the physician was associated (p = 0.049) with vaccination of their patients after controlling for the effects of age (p = 0.046), region (p = 0.089), and opinions on the effectiveness of the vaccine (p = 0.013). CONCLUSIONS: Vaccination of physicians together with their opinions on the effectiveness of the vaccine may be a predictor of vaccination coverage in their patients. Further studies are required to confirm this.

Managing an online survey about influenza vaccination in primary healthcare workers.

Online surveys are increasingly used due to their speed and efficiency. The aim of this study was to analyze factors that may have contributed to the quality and speed of response of an online survey on influenza vaccination in primary healthcare workers. A multicenter study including family physicians, nurses and pediatricians from primary healthcare teams from seven Spanish Autonomous Communities was designed. The centers were selected by simple random sampling. The survey remained active and accessible for 56 days and four reminders were sent. The odds ratios (OR) and their 95% confidence intervals (CI) were calculated to assess the association of sociodemographic variables and responding to the survey before the second reminder. Complete, validated information was obtained from 1965 primary healthcare workers. The total response rate was 36.2%. More nurses (46.3%) responded before the second reminder and more family physicians (52.8%) after the second reminder. The adjusted OR shows that family physicians responded later (AOR 1.46, 95% CI 1.2-1.8) than nurses. The responses obtained in the first 24 h after the initial sending and the reminders accounted for 41.7% of the completed surveys, indicating the importance of reminders.

Visualizing knowledge and attitude factors related to influenza vaccination of physicians.

PURPOSE: To characterize groups of primary healthcare physicians according to sociodemographic data, years of professional experience and knowledge of and attitudes to influenza, and to evaluate differences between groups with respect to influenza vaccination in the 2011-2012 season. METHODS: We carried out an anonymous web survey of Spanish primary healthcare physicians in 2012. Information on vaccination, and knowledge of and attitudes to influenza was collected. Multiple correspondence analysis and cluster analysis were used to define groups of physicians. RESULTS: We included 835 physicians and identified three types. Type B were physicians with low professional experience of influenza. Types A and C were physicians with high professional experience with influenza, type A also had a high awareness of influenza and seasonal vaccination. Types A and C were older and more often male than type B (p<0.0001). Knowledge of influenza was greatest in type A and lowest in type B. Awareness of influenza was greatest in type A and lowest in type C. In type A, 71.0% of physicians were vaccinated in the 2011-2012 season, compared with 48.1% and 33.6% from types B and C, respectively (p<0.001). CONCLUSIONS: Additional efforts should be made to increase interest and concerns about preventing the transmission of influenza in physicians who do not believe influenza is a severe disease and are not concerned about its transmission.

Pandemic influenza A (H1N1) in non-vaccinated, pregnant women in Spain (2009-2010).

The aim of this study was to investigate the main characteristics of non-vaccinated pregnant women who were hospitalised for influenza A (H1N1) pdm09 pandemic versus pregnant women hospitalised for non-influenza-related reasons in Spain, and to characterise the clinical presentation of the disease in this population to facilitate early diagnosis and future action programmes. Understanding influenza infection during pregnancy is important as pregnant women are a high-risk population for increased morbidity from influenza infection. We investigated the socio-demographic and clinical features of 51 non-vaccinated, pregnant women infected with the pandemic influenza A (H1N1) virus in Spain (cases) and compared them to 114 controls (non-vaccinated and non-infected pregnant women) aged 15-44 years. Substantial and significant odd ratios (ORs) for pandemic influenza A (H1N1) were found for the pregnant women who were obese compared with controls (body mass index > 30) (OR 3.03; 95% confidence intervals 1.13-8.11). The more prevalent symptoms observed in pandemic influenza-infected pregnant women were high temperature, cough (82.4%), malaise (80.5%), myalgia (56.1%), and headaches (54.9%). Our results suggest that the initial symptoms and risk factors for infection of pregnant women with the influenza A (H1N1) pdm09 virus are similar to the symptoms and risk factors for seasonal influenza, which make early diagnosis difficult, and reinforces the need to identify and protect high-risk groups.

Predictive factors of severe multilobar pneumonia and shock in patients with influenza.

PURPOSE: To identify risk factors present at admission in adult patients hospitalised due to influenza virus infection during the 2009/10 and 2010/11 seasons--including whether infection was from pandemic or seasonal influenza A infections--that were associated with the likelihood of developing severe pneumonia with multilobar involvement and shock. METHODS: Prospective cohort study. Patients hospitalised due to influenza virus infection were recruited. We collected information on sociodemographic characteristics, pre-existing medical conditions, vaccinations, toxic habits, previous medications, exposure to social environments, and EuroQoL-5D (EQ-5D). Severe pneumonia with multilobar involvement and/or shock (SPAS) was the primary outcome of interest. We constructed two multivariate logistic regression models to explain the likelihood of developing SPAS and to create a clinical prediction rule for developing SPAS that includes clinically relevant variables. RESULTS: Laboratory-confirmed A(H1N1)pdm09, EQ-5D utility score 7 days before admission, more than one comorbidity, altered mental status, dyspnoea on arrival, days from onset of symptoms, and influenza season were associated with SPAS. In addition, not being vaccinated against seasonal influenza in the previous year, anaemia, altered mental status, fever and dyspnoea on arrival at hospital, difficulties in performing activities of daily living in the previous 7 days, and days from onset of symptoms to arrival at hospital were related to the likelihood of SPAS (area under the curve value of 0.75; Hosmer-Lemeshow p value of 0.84). CONCLUSIONS: These variables should be taken into account by physicians evaluating a patient affected by influenza as additional information to that provided by the usual risk scores.

Knowledge of and attitudes to influenza vaccination in healthy primary healthcare workers in Spain, 2011-2012.

Annual influenza vaccination is recommended for healthcare workers, but many do not follow the recommendation. The objective of this study was to investigate the factors associated with seasonal influenza vaccination in the 2011-2012 season. We carried out an anonymous web survey of Spanish primary healthcare workers in 2012. Information on vaccination, and knowledge and attitudes about the influenza vaccine was collected. Workers with medical conditions that contraindicated vaccination and those with high risk conditions were excluded. Multivariate analysis was performed using unconditional logistic regression. We included 1,749 workers. The overall vaccination coverage was 50.7% and was higher in workers aged ≥ 55 years (55.7%), males (57.4%) and paediatricians (63.1%). Factors associated with vaccination were concern about infection at work (aOR 4.93; 95% CI 3.72-6.53), considering that vaccination of heathcare workers is important (aOR 2.62; 95%CI 1.83-3.75) and that vaccination is effective in preventing influenza and its complications (aOR 2.40; 95% CI 1.56-3.67). No association was found between vaccination and knowledge of influenza or the vaccine characteristics. Educational programs should aim to remove the misconceptions and attitudes that limit compliance with recommendations about influenza vaccination in primary healthcare workers rather than only increasing knowledge about influenza and the characteristics of the vaccine.

Trends in influenza vaccine coverage among primary healthcare workers in Spain, 2008-2011.

OBJECTIVE: To evaluate trends in seasonal influenza vaccination coverage in primary healthcare workers (PHCWs) in Spain between 2008 and 2011. METHODS: We made an anonymous web survey of PHCWs in 2012. Information on attitudes towards and knowledge of influenza vaccine, and immunization in previous seasons was collected. Self-reported vaccination coverage and factors related to vaccination continuity were analysed. RESULTS: Of 5433 workers contacted, 2625 (48.3%) responded to the survey: 47.0% were general practitioners, 10.3% paediatricians and 42.7% nurses. Their reported vaccination rates from seasons 2008-2009 to 2011-2012 decreased over time: 58.4%, 57.4%, 53.2% and 49.3% (linear trend, p < 0.001). Among workers vaccinated in any previous season, 70.2% were vaccinated again in 2011-2012, compared with 5.2% among those not previously vaccinated (p < 0.001). Continuity of vaccination increased with age and with the worker or cohabitant having a major chronic condition. Vaccination was higher in workers who recognized vaccination as effective and those worried about being infected or infecting patients. CONCLUSION: Influenza vaccination coverage in PHCWs has declined, especially after the pandemic. Intensive interventions are needed to change this trend. Knowledge of vaccination should be reinforced by stressing the effectiveness of the vaccine and the risks of influenza for workers and patients.