Use of biometeorological indices in assessing heat waverelated mortality in Vigo, Spain

Ponencia presentada en: XI Congreso de la Asociación Española de Climatología celebrado en Cartagena entre el 17 y el 19 de octubre de 2018.[ES]En el contexto actual de cambio climático, las olas de calor se han convertido en un problema importante para la salud humana. La ausencia de un índice biometeorológico estandarizado para evaluar la intensidad de las olas de calor y su influencia sobre la mortalidad ha demostrado tener un fuerte efecto en la planificación de la salud pública. Este trabajo evalúa los efectos de los días de ola de calor en la población de Vigo, durante el período comprendido entre 1980 y 2014. Para ello, se han utilizado dos índices; la temperatura aparente máxima y el factor de exceso de calor (EHF). Se han identificado un total de 534 días que cumplen con los criterios de EHF durante ese período. Se ha comprobado la existencia de una relación no lineal en forma de U entre la mortalidad y la temperatura aparente máxima. En el caso del EHF, se encontró una relación no lineal en forma de J entre la mortalidad y el índice EHF. Este estudio encontró que el EHF es un indicador más específico para la mortalidad relacionada con el calor que la temperatura aparente máxima. Además, se ha demostrado que los períodos de ola de calor no presentan el mismo grado de severidad en un período de temperaturas extremas. Por lo tanto, la intensidad de una ola de calor es un importante indicador de riesgo de mortalidad durante estos eventos. En lo que respecta a la vulnerabilidad humana al calor, las condiciones respiratorias y cardiovasculares preexistentes representan las tasas más altas de mortalidad.[EN]In the current context of climate change, heat waves have become a significant problem for human health. The lack of a standardised biometeorological index to assess the intensity of heat waves and their effects on mortality has proved to have a strong effect on Public Health planning. This paper assesses the effects of heat wave days on the human population in Vigo, Spain, during the period between 1980 and 2014. To this end, two indices have been used; the maximum apparent temperature and the Excess Heat Factor (EHF). A total of 534 days meeting the EHF criteria have been identified during that period. The dependence shows a non-linear U-shaped relationship between mortality and maximum apparent temperature. In the case of the EHF, a non-linear J-shaped relationship between mortality and the EHF was found. This study found that the EHF is a more specific indicator for heat-related mortality than maximum apparent temperature. Furthermore, it has been demonstrated that heat wave periods do not present the same degree of severity over a period of days. Thus, the intensity of a heat wave is an important mortality risk indicator during heat wave days. As far as human vulnerability to heat is concerned, pre-existing respiratory and cardiovascular conditions account for the highest rates of mortality

Non-Clinical Factors Determining the Prescription of Antibiotics by Veterinarians: A Systematic Review

The misuse of antibiotics in humans, animals, and plants is related to the spread of resistant antibiotic strains among humans and animals. In this paper, we carry out a bibliographic search of Medline, Web of Knowledge, and Cab Abstracts with the main objective of ascertaining the available evidence on non-clinical factors and attitudes that could influence the prescription of antibiotics by veterinarians. A total of 34 studies fulfilled the inclusion criteria. Whereas, veterinary health professionals’ prescribing habits did not appear to be influenced by their socio-demographic characteristics, they were influenced by different attitudes, such as fear (identified in 19 out of 34 studies), self-confidence (19/34), business factors (19/34), and by complacency (16/34). Certain owner-related factors, such as lack of awareness (16/34) and demand for antibiotics (12/34), were also important, as were concurrent factors, ranging from a lack of appropriate regulations (10/34) to the expense and delays involved in performing culture and sensitivity tests (10/34) and inadequate farm hygiene (8/34). Our results appear to indicate that the non-clinical factors are potentially modifiable. This may be useful for designing interventions targeted at improving antibiotic use in animals, as part of an overall strategy to reduce the global spread of multi-resistant strainsS

Temperature-related effects on respiratory medical prescriptions in Spain

Background: The increased risk of mortality during periods of high and low temperatures has been well established. However, most of the studies used daily counts of deaths or hospitalisations as health outcomes, although they are the ones at the top of the health impact pyramid reflecting only a limited proportion of patients with the most severe cases. Objectives: This study evaluates the relationship between short-term exposure to the daily mean temperature and medication prescribed for the respiratory system in five Spanish cities. Methods: We fitted time series regression models to cause-specific medical prescriptions, including different respiratory subgroups and age groups. We included a distributed lag non-linear model with lags up to 14 days for daily mean temperature. City-specific associations were summarised as overall-cumulative exposure-response curves. Results: We found a positive association between cause-specific medical prescriptions and daily mean temperature with a non-linear inverted J- or V-shaped relationship in most cities. Between 0.3% and 0.6% of all respiratory prescriptions were attributed to cold for Madrid, Zaragoza and Pamplona, while in cities with only cold effects the attributable fractions were estimated as 19.2% for Murcia and 13.5% for Santander. Heat effects in Madrid, Zaragoza and Pamplona showed higher fractions between 8.7% and 17.2%. The estimated costs are in general higher for heat effects, showing annual values ranging between €191,905 and €311,076 for heat per 100,000 persons. Conclusions: This study provides novel evidence of the effects of the thermal environment on the prescription of medication for respiratory disorders in Spain, showing that low and high temperatures lead to an increase in the number of such prescriptions. The consumption of medication can reflect exposure to the environment with a lesser degree of severity in terms of morbidity

Attitudes of primary care physicians to the prescribing of antibiotics and antimicrobial resistance: a qualitative study from Spain.

BACKGROUND AND OBJECTIVE: Resistance to antibiotics is a public health threat. A number of studies confirm the relationship between antibiotic use and the resistance rate. As a whole, physicians represent a large proportion of the health professionals involved in the use of this therapeutic group. Our study therefore sought to ascertain the opinions and attitudes of GPs in Spain with respect to antibiotics and resistance. METHODS: We used the focus group (FG) method, with each group comprising 4-12 primary care physicians and a moderator. Based on a previous systematic review, we drew up an agenda to be followed during the holding of the sessions. Group proceedings were recorded and the transcriptions then analysed separately by two researchers. RESULTS: Five FGs were formed, including a total of 33 physicians. The factors/attitudes that influenced the prescribing of antibiotics by GPs were fear, complacency, insufficient knowledge and external responsibility of the pharmaceutical industry, patients and over-the-counter antibiotics. The groups felt that antibiotic resistance was not a problem at a community level. CONCLUSIONS: Identification of attitudes/knowledge related with inappropriate antibiotic prescribing will enable specific interventions to be designed, with the aim of targeting these shortcomings to improve antibiotic use and help reduce resistance

Factors associated with underreporting of adverse drug reactions by health care professionals: a systematic review update

Introduction Underreporting is a major limitation of the voluntary reporting system of adverse drug reactions (ADRs). A 2009 systematic review showed the knowledge and attitudes of health professionals were strongly related with underreporting of ADRs. Objective Our aim was to update our previous systematic review to determine factors (sociodemographic, knowledge and attitudes) associated with the underreporting of ADRs by healthcare professionals. Methods We searched the MEDLINE and EMBASE databases for studies published between 2007 and 2021 that met the following inclusion criteria: (1) published in English, French, Portuguese or Spanish; (2) involving health professionals; and (3) the goal was to evaluate factors associated with underreporting of ADRs through spontaneous reporting. Results Overall, 65 papers were included. While health professional sociodemographic characteristics did not influence underreporting, knowledge and attitudes continue to show a significant effect: (1) ignorance (only serious ADRs need to be reported) in 86.2%; (2) lethargy (procrastination, lack of interest, and other excuses) in 84.6%; (3) complacency (the belief that only well tolerated drugs are allowed on the market) in 46.2%; (4) diffidence (fear of appearing ridiculous for reporting merely suspected ADRs) in 44.6%; and (5) insecurity (it is nearly impossible to determine whether or not a drug is responsible for a specific adverse reaction) in 33.8%, and the absence of feedback in 9.2%. In this review, the non-obligation to reporting and confidentiality emerge as new reasons for underreporting. Conclusions Attitudes regarding the reporting of adverse reactions continue to be the main determinants of underreporting. Even though these are potentially modifiable factors through educational interventions, minimal changes have been observed since 2009Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This study has been funded in part by the Instituto de Salud Carlos III (ISCIII) through the project PI19/01006, cofinanced by FEDER, European UnionS

Case-crossover design: Basic essentials and applications

El diseño de casos cruzados es un diseño epidemiológico observacional propuesto por Maclure en 1991 para valorar si alguna exposición intermitente o inusual ha desencadenado un evento agudo a muy corto plazo. En este trabajo se presentan los fundamentos de los diseños de casos cruzados, con sus aplicaciones y limitaciones. El diseño de casos cruzados se basa en seleccionar sólo sujetos caso. Para calcular el riesgo relativo se compara la exposición durante el periodo de tiempo previo al evento (periodo caso) con la exposición del mismo sujeto en uno o varios periodos control. Este método únicamente es adecuado cuando las exposiciones son cambiantes en el tiempo, con efectos a corto plazo, y el efecto es agudo. Para exposiciones en que no existe tendencia, el planteamiento unidireccional es el más frecuente, y consiste en seleccionar uno o varios periodos control previos al momento caso. Cuando la exposición tiene una tendencia temporal (por ejemplo las de contaminación atmosférica), el planteamiento unidireccional proporciona estimaciones sesgadas, por lo que se utilizan diseños de casos cruzados bidireccionales, que seleccionan periodos de tiempo control anteriores y posteriores al del evento. Es un método que cuenta con una creciente utilización en amplios campos: desencadenantes de accidentes de tráfico, laborales y domésticos, o de infarto agudo de miocardio, contaminación atmosférica y salud, farmacoepidemiología, etc. Para el análisis de datos, generalmente se pueden considerar los diseños de casos cruzados como estudios de casos y controles emparejados, por lo que se aplica regresión logística condicional. Finalmente, en este trabajo se analizan ejemplos prácticos de diferentes aplicaciones del diseño de casos cruzadosCase-crossover analysis is an observational epidemiological design that was proposed by Maclure in 1991 to assess whether a given intermittent or unusual exposure may have triggered an immediate short-term, acute event. The present article outlines the basics of case-crossover designs, as well as their applications and limitations. The case-crossover design is based on exclusively selecting case subjects. To calculate relative risk, exposure during the period of time prior to the event (case period) is compared against the same subject's exposure during one or more control periods. This method is only appropriate when the exposures are transient in time and have acute short-term effects. For exposures in which there is no trend, a unidirectional approach is the most frequent and consists of selecting one or more control periods prior to the case period. When the exposure displays a time trend (e.g., air pollution), a unidirectional approach will yield biased estimates, and therefore bidirectional case-crossover designs are used, which select control time intervals preceding and subsequent to that of the event. The case-crossover design is being increasingly used across a wide range of fields, including factors triggering traffic, occupational and domestic accidents and acute myocardial infarction, and those involved in air pollution and health and pharmacoepidemiology, among others. Insofar as data-analysis is concerned, case-crossover designs can generally be regarded as matched case-control studies and consequently conditional logistic regression can be applied. Lastly, this study analyzes practical examples of distinct applications of the case-crossover designEste trabajo se ha financiado por una acción específica del CIBERESP (CIBERESP-MET-007) y por el proyecto intramural del ISCIII: SEPY1106/07S

Knowledge, attitudes, perceptions and habits towards antibiotics dispensed without medical prescription: a qualitative study of Spanish pharmacists

Objective To investigate community pharmacists’ knowledge, attitudes, perceptions and habits with regard to antibiotic dispensing without medical prescription in Spain. Methods A qualitative research using focus group method (FG) in Galicia (north-west Spain). FG sessions were conducted in the presence of a moderator. A topic script was developed to lead the discussions, which were audiorecorded to facilitate data interpretation and transcription. Proceedings were transcribed by an independent researcher and interpreted by two researchers working independently. We used the Grounded Theory approach. Setting Community pharmacies in Galicia, region Norwest of Spain. Participants Thirty pharmacists agreed to participate in the study, and a total of five FG sessions were conducted with 2–11 pharmacists. We sought to ensure a high degree of heterogeneity in the composition of the groups to improve our study's external validity. Pharmacists’ participation had no gender or age restrictions, and an effort was made to form FGs with pharmacists who were both owners and non-owners, provided in all cases that they were Official Colleges of Pharmacists-registered community pharmacists. For the purpose of conducting FG discussions, the basic methodological principle of allowing groups to attain their ‘own structural identity’ was applied. Main outcome measurements Community pharmacists’ habits and knowledge with regard to antibiotics and identification of the attitudes and/or factors that influence antibiotic dispensing without medical prescription. Results Pharmacists attributed the problem of antibiotics dispensed without medical prescription and its relationship to antibiotic resistance to the following attitudes: external responsibility (doctors, dentists and the National Health Service (NHS)); acquiescence; indifference and lack of continuing education. Conclusions Despite being a problem, antibiotic dispensing without a medical prescription is still a common practice in community pharmacies in Galicia, Spain. This practice is attributed to acquiescence, indifference and lack of continuing education. The problem of resistance was ascribed to external responsibility, including that of patients, physicians, dentists and the NHS.S

Case-Crossover Analysis of Air Pollution Health Effects: A Systematic Review of Methodology and Application

10 pages, 2 figures, 5 tables.-- PMID: 20356818 [PubMed].--PMCID: PMC2920078.-- Printed version published Aug 2010.BACKGROUND: Case-crossover is one of the most used designs for analyzing the health-related effects of air pollution. Nevertheless, no one has reviewed its application and methodology in this context.OBJECTIVE: We conducted a systematic review of case-crossover (CCO) designs used to study the relationship between air pollution and morbidity and mortality, from the standpoint of methodology and application.DATA SOURCES AND EXTRACTION: A search was made of the MEDLINE and EMBASE databases.Reports were classified as methodologic or applied. From the latter, the following information was extracted: author, study location, year, type of population (general or patients), dependent variable(s), independent variable(s), type of CCO design, and whether effect modification was analyzed for variables at the individual level.DATA SYNTHESIS: The review covered 105 reports that fulfilled the inclusion criteria. Of these, 24 addressed methodological aspects, and the remainder involved the design's application. In the methodological reports, the designs that yielded the best results in simulation were symmetric bidirectional CCO and time-stratified CCO. Furthermore, we observed an increase across time in the use of certain CCO designs, mainly symmetric bidirectional and time-stratified CCO. The dependent variables most frequently analyzed were those relating to hospital morbidity; the pollutants most often studied were those linked to particulate matter. Among the CCO-application reports, 13.6% studied effect modification for variables at the individual level.CONCLUSIONS: The use of CCO designs has undergone considerable growth; the most widely used designs were those that yielded better results in simulation studies: symmetric bidirectional and time-stratified CCO. However, the advantages of CCO as a method of analysis of variables at the individual level are put to little use.This study was supported by grant CIBERESP-MET-007 from the Consortium for Biomedical Research in Epidemiology and Public Health [CIBER en Epidemiología y Salud Pública (CIBERESP)], Spain. A.T. was funded by project PI080354 [Fondo de Investigaciones Sanitarias (FIS)] of the Subdirectorate-General for Research Evaluation and Development and by project 200930I008 [Consejo Superior de Investigaciones Científicas (CSIC)].This study was supported by grant CIBERESP-MET-007 from the Consortium for Biomedical Research in Epidemiology and Public Health [CIBER en Epidemiología y Salud Pública (CIBERESP)], Spain. A.T. was funded by project PI080354 [Fondo de Investigaciones Sanitarias (FIS)] of the Subdirectorate-General for Research Evaluation and Development and by project 200930I008 [Consejo Superior de Investigaciones Científicas (CSIC)].Peer reviewe