Effects of the economic recession on suicide mortality in Brazil: interrupted time series analysis.

OBJECTIVES: to analyze trends in suicide rates in Brazil in the period before and after the start of the economic recession. METHODS: interrupted time series research using national suicide data recorded in the period between 2012 and 2017 with socioeconomic subgroups analyses. Quasi-Poisson regression model was employed to analyze trends in seasonally adjusted data. RESULTS: there was an abrupt increase in the risk of suicide after economic recession in the population with less education (12.5%; RR = 1.125; 95%CI: 1.027; 1.232) and in the South Region (17.7%; 1.044; 1.328). After an abrupt reduction, there was a progressive increase in risk for the black and brown population and for those with higher education. In most other population strata, there was a progressive increase in the risk of suicide. CONCLUSIONS: the Brazilian economic recession caused different effects on suicide rates, considering social strata, which requires health strategies and policies that are sensitive to the most vulnerable populations.

Effects of the economic recession on suicide mortality in Brazil: interrupted time series analysis / Efectos de la recesión económica en la mortalidad por suicidio en Brasil: análisis de series de tiempo interrumpido / Efeitos da recessão econômica na mortalidade por suicídio no Brasil: análise com séries temporais interrompidas

ABSTRACT Objectives: to analyze trends in suicide rates in Brazil in the period before and after the start of the economic recession. Methods: interrupted time series research using national suicide data recorded in the period between 2012 and 2017 with socioeconomic subgroups analyses. Quasi-Poisson regression model was employed to analyze trends in seasonally adjusted data. Results: there was an abrupt increase in the risk of suicide after economic recession in the population with less education (12.5%; RR = 1.125; 95%CI: 1.027; 1.232) and in the South Region (17.7%; 1.044; 1.328). After an abrupt reduction, there was a progressive increase in risk for the black and brown population and for those with higher education. In most other population strata, there was a progressive increase in the risk of suicide. Conclusions: the Brazilian economic recession caused different effects on suicide rates, considering social strata, which requires health strategies and policies that are sensitive to the most vulnerable populations.

RESUMEN Objetivos: analizar tendencias de tasas de suicidio en Brasil, antes y después del inicio de la recesión económica. Métodos: estudio de series de tiempo interrumpido utilizando datos nacionales de suicidio registrados entre 2012 y 2017 con análisis por subgrupos socioeconómicos. Modelo de regresión quasi-Poisson empleado para analizar tendencias de datos ajustados estacionalmente. Resultados: observado aumento abrupto en el riesgo de suicidio pos recesión económica en la población con menor escolaridad (12,5%; RR = 1,125; IC95%:1,027; 1,232) y en la Región Sur (17,7%; 1,044; 1,328). Pos reducción abrupta, ocurrió aumento progresivo en el riesgo para la población de negros y pardos y de mayor escolaridad. En la mayoría de los demás estratos poblacionales, verificado aumento progresivo en el riesgo de suicidio. Conclusiones: la recesión económica brasileña produzco efectos diferentes en las tasas de suicidio, considerando los estratos sociales, lo que demanda estrategias de salud y políticas sensibles a poblaciones más vulnerables.

RESUMO Objetivos: analisar as tendências nas taxas de suicídio no Brasil, no período antes e depois do início da recessão econômica. Métodos: estudo de séries temporais interrompidas utilizando dados nacionais de suicídio registrados no período entre 2012 e 2017 com análises por subgrupos socioeconômicos. Modelo de regressão quasi-Poisson foi empregado para analisar as tendências dos dados ajustados sazonalmente. Resultados: observou-se aumento abrupto no risco de suicídio após recessão econômica na população com menor escolaridade (12,5%; RR = 1,125; IC95%:1,027; 1,232) e na Região Sul (17,7%; 1,044; 1,328). Após redução abrupta, ocorreu aumento progressivo no risco para a população de pretos e pardos e na de maior escolaridade. Na maioria dos demais estratos populacionais, verificou-se aumento progressivo no risco de suicídio. Conclusões: a recessão econômica brasileira produziu efeitos diferentes nas taxas de suicídio, considerando os estratos sociais, o que demanda estratégias de saúde e políticas sensíveis às populações mais vulneráveis.

Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death.

The geographical distribution of mortality has frequently been studied. Nevertheless, those studies often consider isolated causes of death. In this work, we aim to study the geographical distribution of mortality in urban areas, in particular, in 26 Spanish cities. We perform an overall study of 16 causes of death, considering that their geographical patterns could be dependent and estimating the dependence between the causes of death. We study the deaths in these 26 cities during the period 1996-2015 at the census tract level. A multivariate disease mapping model is used in order to solve the potential small area estimation problems that these data could show. We find that most of the geographical patterns found show positive correlations. This suggests the existence of a transversal geographical pattern, common to most causes of deaths, which determines those patterns to a higher/lower extent depending on each disease. The causes of death that exhibit that underlying pattern in a more prominent manner are chronic obstructive pulmonary disease (COPD), lung cancer, and cirrhosis for men and cardiovascular diseases and dementias for women. Such findings are quite consistent for most of the cities in the study. The high positive correlation found between geographical patterns reflects the existence of both high and low-risk areas in urban settings, in general terms for nearly all the causes of death. Moreover, the high-risk areas found often coincide with neighborhoods known for their high deprivation. Our results suggest that dependence among causes of death is a key aspect to be taken into account when mapping mortality, at least in urban contexts.

Asociación entre la caminabilidad del barrio de residencia y la mortalidad por distintas causas en Andalucía / Association between neighborhood walkability and mortality due to different causes in Andalusia (Spain)

Objetivo: Describir la asociación entre la caminabilidad del barrio de residencia y la mortalidad. Método: Estudio ecológico de áreas pequeñas. Se calcularon las razones de mortalidad estandarizadas (RME) y el Walk Score© en cada sección censal. Los valores se compararon con pruebas paramétricas y no paramétricas. Resultados: En los hombres, las RME medias para enfermedades isquémicas en las categorías de más y de menos caminabilidad fueron 1,03 y 0,85 (p <0,01), y para la enfermedad pulmonar obstructiva crónica (EPOC) fueron de 1,009 y 1,20 (p <0,01). En las mujeres, las medias de las RME para la diabetes fueron de 0,97 y 1,2 (p <0,01), para las enfermedades isquémicas fueron 1,01 y 1,12 (p <0,01), para las enfermedades cerebrovasculares fueron 1,007 y 1,18 (p <0,01), para la EPOC fueron 1,01 y 1,49 (p <0,01), y para todas las causas fueron 1,006 y 1,08 (p <0,01). Conclusiones: El comportamiento para caminar dentro de las actividades de la vida diaria es distinto entre sexos. Vivir en barrios caminables es un factor protector para las mujeres. (AU)

Objective: To describe the association between the Neighborhood Walkability and mortality. Method: Ecological study of small areas. The standardized mortality ratios (SMR) and the Walk Score© were calculated in each census tract. These values were compared with parametric and nonparametric tests. Results: For men, in the case of ischemic diseases, the means of the SMR for the categories with the highest walkability and the least were 1.03 and 0.85 (p <0.01), and in chronic obstructive pulmonary disease (COPD) were 1,009 and 1.20 (p <0.01). In women, the means of the SMR for diabetes were 0.97 and 1.2 (p <0.01), for ischemic diseases were 1.01 and 1.12 (p <0.01), for cerebrovascular diseases were 1.007 and 1.18 (p <0.01), for COPD were 1.01 and 1.49 (p <0.01) and for all causes were 1.006 and 1.08 (p <0.01) Conclusions: Behavior about walking in the activities of daily life is different between sexes. Living in walkable neighborhoods is a protective factor for women. (AU)

[Association between neighborhood walkability and mortality due to different causes in Andalusia (Spain)]. / Asociación entre la caminabilidad del barrio de residencia y la mortalidad por distintas causas en Andalucía.

OBJECTIVE: To describe the association between the Neighborhood Walkability and mortality. METHOD: Ecological study of small areas. The standardized mortality ratios (SMR) and the Walk Score© were calculated in each census tract. These values were compared with parametric and nonparametric tests. RESULTS: For men, in the case of ischemic diseases, the means of the SMR for the categories with the highest walkability and the least were 1.03 and 0.85 (p <0.01), and in chronic obstructive pulmonary disease (COPD) were 1,009 and 1.20 (p <0.01). In women, the means of the SMR for diabetes were 0.97 and 1.2 (p <0.01), for ischemic diseases were 1.01 and 1.12 (p <0.01), for cerebrovascular diseases were 1.007 and 1.18 (p <0.01), for COPD were 1.01 and 1.49 (p <0.01) and for all causes were 1.006 and 1.08 (p <0.01) CONCLUSIONS: Behavior about walking in the activities of daily life is different between sexes. Living in walkable neighborhoods is a protective factor for women.

[Predictive models of the COVID-19 epidemic in Spain with Gompertz curves]. / Modelos predictivos de la epidemia de COVID-19 en España con curvas de Gompertz.

During the international health crisis caused by the COVID-19 pandemic, it is necessary not only to know the data on infections, deaths and the occupation of hospital beds, but also to make predictions that help health authorities in the management of the crisis. The present work aims to describe the methodology used to develop predictive models of infections and deaths for the COVID-19 epidemic in Spain, based on Gompertz curves. The methodology is applied to the country as a whole and to each of its Autonomous Communities. Based on the official data available on the date of this work, and through the models described, we estimate a total of around 240.000 infected and 25.000 deaths at the end of the epidemic. At a national level, we forecast the end of the epidemic between June and July 2020.

Effect of the Financial Crisis on Socioeconomic Inequalities in Mortality in Small Areas in Seven Spanish Cities.

BACKGROUND: The aim of this study was to analyze the trend in socioeconomic inequalities in mortality in small areas due to several specific causes before (2001-2004, 2005-2008) and during (2009-2012) the economic crisis in seven Spanish cities. METHODS: This ecological study of trends, with census tracts as the areas of analysis, was based on three periods. Several causes of death were studied. A socioeconomic deprivation index was calculated for each census tract. For each small area, we estimated standardized mortality ratios, and controlled for their variability using Bayesian models (sSMR). We also estimated the relative risk of mortality according to deprivation in the different cities, periods, and sexes. RESULTS: In general, a similar geographical pattern was found for the socioeconomic deprivation index and sSMR. For men, there was an association in all cities between the deprivation index and all-cause mortality that remained stable over the three periods. For women, there was an association in Barcelona, Granada, and Sevilla between the deprivation index and all-cause mortality in the third period. Patterns by causes of death were more heterogeneous. CONCLUSIONS: After the start of the financial crisis, socioeconomic inequalities in total mortality in small areas of Spanish cities remained stable in most cities, although several causes of death showed a different pattern.

Modelos predictivos de la epidemia de COVID-19 en España con curvas de Gompertz / Predictive models of the COVID-19 epidemic in Spain with Gompertz curves

Durante la crisis de salud internacional provocada por la pandemia de COVID-19, además de conocer los datos sobre contagios, muertes y ocupación de camas hospitalarias también es necesario hacer predicciones que ayuden a la gestión de la crisis por parte de las autoridades sanitarias. El presente trabajo tiene como objetivo describir la metodología utilizada para la elaboración de modelos predictivos de contagios y defunciones para la epidemia de COVID-19 en España basados en curvas de Gompertz. La metodología se aplica al total del país y a cada una de sus comunidades autónomas. De acuerdo con los datos oficiales publicados a la fecha de realización de este trabajo, y a través de los modelos descritos, estimamos un total de alrededor de 240.000 contagiados y 25.000 fallecidos al final de la epidemia. Pronosticamos el final de la epidemia entre los meses de junio y julio de 2020

During the international health crisis caused by the COVID-19 pandemic, it is necessary not only to know the data on infections, deaths and the occupation of hospital beds, but also to make predictions that help health authorities in the management of the crisis. The present work aims to describe the methodology used to develop predictive models of infections and deaths for the COVID-19 epidemic in Spain, based on Gompertz curves. The methodology is applied to the country as a whole and to each of its Autonomous Communities. Based on the official data available on the date of this work, and through the models described, we estimate a total of around 240.000 infected and 25.000 deaths at the end of the epidemic. At a national level, we forecast the end of the epidemic between June and July 2020

Trends in socioeconomic inequalities in preventable mortality in urban areas of 33 Spanish cities, 1996-2007 (MEDEA project).

BACKGROUND: Preventable mortality is a good indicator of possible problems to be investigated in the primary prevention chain, making it also a useful tool with which to evaluate health policies particularly public health policies. This study describes inequalities in preventable avoidable mortality in relation to socioeconomic status in small urban areas of thirty three Spanish cities, and analyses their evolution over the course of the periods 1996-2001 and 2002-2007. METHODS: We analysed census tracts and all deaths occurring in the population residing in these cities from 1996 to 2007 were taken into account. The causes included in the study were lung cancer, cirrhosis, AIDS/HIV, motor vehicle traffic accidents injuries, suicide and homicide. The census tracts were classified into three groups, according their socioeconomic level. To analyse inequalities in mortality risks between the highest and lowest socioeconomic levels and over different periods, for each city and separating by sex, Poisson regression were used. RESULTS: Preventable avoidable mortality made a significant contribution to general mortality (around 7.5%, higher among men), having decreased over time in men (12.7 in 1996-2001 and 10.9 in 2002-2007), though not so clearly among women (3.3% in 1996-2001 and 2.9% in 2002-2007). It has been observed in men that the risks of death are higher in areas of greater deprivation, and that these excesses have not modified over time. The result in women is different and differences in mortality risks by socioeconomic level could not be established in many cities. CONCLUSIONS: Preventable mortality decreased between the 1996-2001 and 2002-2007 periods, more markedly in men than in women. There were socioeconomic inequalities in mortality in most cities analysed, associating a higher risk of death with higher levels of deprivation. Inequalities have remained over the two periods analysed. This study makes it possible to identify those areas where excess preventable mortality was associated with more deprived zones. It is in these deprived zones where actions to reduce and monitor health inequalities should be put into place. Primary healthcare may play an important role in this process.

Do socioeconomic inequalities in mortality vary between different Spanish cities? a pooled cross-sectional analysis.

BACKGROUND: The relationship between deprivation and mortality in urban settings is well established. This relationship has been found for several causes of death in Spanish cities in independent analyses (the MEDEA project). However, no joint analysis which pools the strength of this relationship across several cities has ever been undertaken. Such an analysis would determine, if appropriate, a joint relationship by linking the associations found. METHODS: A pooled cross-sectional analysis of the data from the MEDEA project has been carried out for each of the causes of death studied. Specifically, a meta-analysis has been carried out to pool the relative risks in eleven Spanish cities. Different deprivation-mortality relationships across the cities are considered in the analysis (fixed and random effects models). The size of the cities is also considered as a possible factor explaining differences between cities. RESULTS: Twenty studies have been carried out for different combinations of sex and causes of death. For nine of them (men: prostate cancer, diabetes, mental illnesses, Alzheimer's disease, cerebrovascular disease; women: diabetes, mental illnesses, respiratory diseases, cirrhosis) no differences were found between cities in the effect of deprivation on mortality; in four cases (men: respiratory diseases, all causes of mortality; women: breast cancer, Alzheimer's disease) differences not associated with the size of the city have been determined; in two cases (men: cirrhosis; women: lung cancer) differences strictly linked to the size of the city have been determined, and in five cases (men: lung cancer, ischaemic heart disease; women: ischaemic heart disease, cerebrovascular diseases, all causes of mortality) both kinds of differences have been found. Except for lung cancer in women, every significant relationship between deprivation and mortality goes in the same direction: deprivation increases mortality. Variability in the relative risks across cities was found for general mortality for both sexes. CONCLUSIONS: This study provides a general overview of the relationship between deprivation and mortality for a sample of large Spanish cities combined. This joint study allows the exploration of and, if appropriate, the quantification of the variability in that relationship for the set of cities considered.

Agreement between community pharmacy and ambulatory and home blood pressure measurement methods to assess the effectiveness of antihypertensive treatment: the MEPAFAR study.

The usefulness of the community pharmacy blood pressure (CPBP) method in the diagnosis or treatment of hypertension has not been adequately addressed in controlled studies. The authors' aim was to assess the agreement between awake ambulatory blood pressure (ABP), home blood pressure (HBP), and CPBP in treated hypertensive patients. This was a cross-sectional study carried out in 169 patients in which blood pressure (BP) was measured at the pharmacy (4 visits), at home (4 days), and by 24-hour ABP monitoring. Lin correlation-concordance coefficient (CCC) and Bland-Altman plots were used to evaluate quantitative agreement. The qualitative agreement to establish the degree of BP control was evaluated using κ coefficient. The agreement was acceptable between HBP and CPBP (CCC=0.80 for systolic BP [SBP] and 0.80 for diastolic BP [DBP]; κ=0.62) and moderate between awake ABP and CPBP (CCC=0.74/0.67, respectively; κ=0.56). The Bland-Altman plots also showed lowest mean differences (0.5/0.3 for SBP and DBP, respectively) for the comparison between CPBP and HBP. The CPBP has a better agreement with HBP than with awake ABP. Thus, the CPBP measurement method could be a good alternative to HBP monitoring, whereas it cannot be used as a screening test to assess the degree of BP control by awake ABP.

Evaluation of the hypertensive state in treated patients: selection of appropriate blood pressure measurements per visit to the community pharmacy.

OBJECTIVE: To assess the agreement between repeated blood pressure (BP) measurements taken by community pharmacists during visits to the community pharmacy on four separate occasions, and to assess the agreement between the community pharmacy BP (CPBP) measurement method and ambulatory BP monitoring (ABPM) in order to determine the CPBP measurements from each visit needed to evaluate the hypertensive state of treated patients. METHODS: The study was a cross-sectional study of treated hypertensive patients aged older than 18 years from eight community pharmacies. BP was measured during four visits to the community pharmacy (three measurements per visit) and for 24 h using ABPM (ABPM started on the third visit to the pharmacy). The Lin correlation-concordance coefficient, the Bland-Altman method, and the κ coefficient were used to assess the agreement between CPBP measurements from each visit. The κ coefficient was used to assess the agreement between the CPBP measurement method and ABPM to establish the patient's hypertensive state. The average CPBP was calculated using four methods: (i) three measurements/four visits, (ii) two measurements/four visits, (iii) three measurements/three visits, and (iv) two measurements/three visits. RESULTS: One hundred and seventy-six treated hypertensive patients were included. Overall, the agreement between the second and third CPBP measurement at each visit was higher than the agreement between other paired measurements (first vs. third and first vs. second), for both systolic BP and diastolic BP. The agreement between the CPBP measurement method and ABPM was not statistically different when analyzed using all variations of the average CPBP calculation. CONCLUSION: The agreement between repeated BP measurements taken by community pharmacists at each visit was greater between the second and the third measurements. In contrast, the agreement between the CPBP measurement method and ABPM did not improve when the first CPBP measurement that was taken at each visit was excluded. As a result, the three CPBP measurements taken at each visit to the pharmacy could be used to evaluate the hypertensive state of treated patients.

Predictors of the community pharmacy white-coat effect in treated hypertensive patients. The MEPAFAR study.

OBJECTIVE: To determine whether age, gender, body mass index (BMI), community pharmacy blood pressure (CPBP), daytime ambulatory BP (ABP) variability, treatment compliance, number of anti-hypertensive drugs and smoking status are factors associated with the community pharmacy white-coat effect (CPWCE) in treated hypertensive patients. SETTING: Eight community pharmacies in Gran Canaria, Spain. METHOD: A cross-sectional study was carried out from June 2008 to June 2009. The study included treated hypertensive patients older than 18 years. Patients were excluded if: systolic BP (SBP)/diastolic BP (DBP) ≥ 200/110 mmHg, not-recommended or unable to perform home BP measurements, changes in anti-hypertensive treatment <4 weeks, history of cardiovascular disease <6 months or pregnancy. Blood pressure (BP) was measured by a community pharmacist at 4 visits to the community pharmacy and using ABP monitoring (24 h). MAIN OUTCOME MEASURE: The CPWCE was calculated as the difference between the mean BP in the community pharmacy and daytime ABP. Independent predictors of the CPWCE were identified using multivariate linear regression analysis. RESULTS: Two hundred thirteen patients agreed to participate in the study. After exclusion and withdrawal, 169 patients were included in the analysis. Multiple linear regression analysis for systolic CPWCE revealed only community pharmacy SBP as an independent factor (ß = 0.35; P < 0.001). The regression analysis for diastolic CPWCE revealed female gender (ß = 4.88; P < 0.001), BMI (ß = 0.48; P < 0.001) and community pharmacy DBP (ß = 0.24; P < 0.001) as independent determinants. CONCLUSION: In this sample of treated hypertensive patients, factors such as gender, community pharmacy DBP and BMI were positively associated and may exert an important influence on the magnitude of the diastolic CPWCE. On the other hand, the CPWCE on SBP increased as the community pharmacy SBP increased.

Magnitude of the white-coat effect in the community pharmacy setting: the MEPAFAR study.

BACKGROUND: There is little information regarding the community pharmacy blood pressure (CPBP) measurement method and their differences with home (HBP) or ambulatory BP (ABP). The aim of this study was to measure such differences and their variation over successive visits. METHOD: Cross-sectional study carried out in eight pharmacies in Gran Canaria (Spain). The study included 169 treated hypertensive patients. BP was measured at the pharmacy (four visits), at HBP (4 days) and 24-h ABP monitoring. We defined pharmacy white-coat effect (PWCE) as differences between CPBP and HBP (home PWCE) or daytime ABP (ambulatory PWCE). RESULTS: The overall (pooled values for all visits) ambulatory PWCE was not significantly different from zero for systolic BP (SBP) (-0.4 mm Hg (95% confidence interval (CI): -1.8 to 1.1)), but greater than zero for diastolic BP (DBP) (3.4 mm Hg (95% CI: 2.3 to 4.6)). The overall home PWCE was not significantly different from zero, both for SBP (1.2 mm Hg (95% CI: -0.1 to 2.6)) and DBP (0.1 mm Hg (95% CI: -0.7 to 1.0)). The ambulatory and home PWCE on the first visit were greater than zero (P < 0.001) (SBP/DBP): 3.5/4.8 and 1.9/1.5 mm Hg, respectively; but showed important reductions at the second visit and became not significantly different from zero, except the ambulatory PWCE in DBP, which persisted until the last visit. CONCLUSION: The trend in the PWCE decreased over the successive visits to the pharmacy. Only the ambulatory PWCE in DBP proved to be statistically greater than zero after the second visit. Repeated CPBP measurements could be a useful alternative to assess the response to antihypertensive treatment.

Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities.

BACKGROUND: Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. METHODS: It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the census tract with the highest deprivation vs. the census tract with the lowest deprivation. RESULTS: In the case of men, socioeconomic inequalities are observed in total cancer mortality in all cities, except in Castellon, Cordoba and Vigo, while Barcelona (RR = 1.53 95%CI 1.42-1.67), Madrid (RR = 1.57 95%CI 1.49-1.65) and Seville (RR = 1.53 95%CI 1.36-1.74) present the greatest inequalities. In general Barcelona and Madrid, present inequalities for most types of cancer. Among women for total cancer mortality, inequalities have only been found in Barcelona and Zaragoza. The excess number of cancer deaths due to socioeconomic deprivation was 16,413 for men and 1,142 for women. CONCLUSION: This study has analysed inequalities in cancer mortality in small areas of cities in Spain, not only relating this mortality with socioeconomic deprivation, but also calculating the excess mortality which may be attributed to such deprivation. This knowledge is particularly useful to determine which geographical areas in each city need intersectorial policies in order to promote a healthy environment.

Clinical value of blood pressure measurement in the community pharmacy.

AIM OF THE STUDY: To investigate whether the measurement of blood pressure in the community pharmacy is a valuable method to diagnose hypertension, to assess the need and the effectiveness of anti-hypertensive treatments, or, in general, to make clinical decisions. METHOD: Information has been extracted from articles published in English and in Spanish, from January 1989 to December 2009, in indexed magazines in MEDLINE and EMBASE. To perform the search, multiple and specified terms related to the community pharmacy setting, to blood pressure measurement and to the comparison and agreement between blood pressure measurement methods were used. Selected articles were those that: (1) compared and/or measured the agreement (concordance) between community pharmacy blood pressure measurements obtained in repeated occasions, or (2) compared and/or measured the agreement between the community pharmacy blood pressure measurement method and other measurement methods used in clinical practice for decision-making purposes: blood pressure measurement by a physician, by a nurse and home or ambulatory blood pressure monitoring. Articles were included and analyzed by two investigators independently, who essentially extracted the main results of the manuscripts, emphasizing the assessment of the blood pressure measurement methods used and the completed statistical analysis. RESULTS: Only three studies comparing the community pharmacy blood pressure measurement method with other methods and one comparing repeated measurements of community pharmacy blood pressure were found. Moreover, these works present significant biases and limitations, both in terms of method and statistical analysis, which make difficult to draw consistent conclusions. CONCLUSION: Further research of high quality is needed, which results can guide the clinical decision-making based on the community pharmacy blood pressure measurement method.

[Methods to smooth mortality indicators: application to analysis of inequalities in mortality in Spanish cities [the MEDEA Project]]. / Métodos para la suavización de indicadores de mortalidad: aplicación al análisis de desigualdades en mortalidad en ciudades del Estado español (Proyecto MEDEA).

Although there is some experience in the study of mortality inequalities in Spanish cities, there are large urban centers that have not yet been investigated using the census tract as the unit of territorial analysis. The coordinated project <> was designed to fill this gap, with the participation of 10 groups of researchers in Andalusia, Aragon, Catalonia, Galicia, Madrid, Valencia, and the Basque Country. The MEDEA project has four distinguishing features: a) the census tract is used as the basic geographical area; b) statistical methods that include the geographical structure of the region under study are employed for risk estimation; c) data are drawn from three complementary data sources (information on air pollution, information on industrial pollution, and the records of mortality registrars), and d) a coordinated, large-scale analysis, favored by the implantation of coordinated research networks, is carried out. The main objective of the present study was to explain the methods for smoothing mortality indicators in the context of the MEDEA project. This study focusses on the methodology and the results of the Besag, York and Mollié model (BYM) in disease mapping. In the MEDEA project, standardized mortality ratios (SMR), corresponding to 17 large groups of causes of death and 28 specific causes, were smoothed by means of the BYM model; however, in the present study this methodology was applied to mortality due to cancer of the trachea, bronchi and lung in men and women in the city of Barcelona from 1996 to 2003. As a result of smoothing, a different geographical pattern for SMR in both genders was observed. In men, a SMR higher than unity was found in highly deprived areas. In contrast, in women, this pattern was observed in more affluent areas.

Métodos para la suavización de indicadores de mortalidad: aplicación al análisis de desigualdades en mortalidad en ciudades del Estado español (Proyecto MEDEA) / Methods to smooth mortality indicators: application to analysis of inequalities in mortality in Spanish cities [the MEDEA Project]

Aunque la experiencia en el estudio de las desigualdadesen la mortalidad en las ciudades españolas es amplia, quedangrandes núcleos urbanos que no han sido investigadosutilizando la sección censal como unidad de análisis territorial.En este contexto se sitúa el proyecto coordinado ®Desigualdadessocioeconómicas y medioambientales en la mortalidaden ciudades de España. Proyecto MEDEA», en el cualparticipan 10 grupos de investigadores de Andalucía, Aragón,Cataluña, Galicia, Madrid, Comunitat Valenciana y PaísVasco. Cabe señalar cuatro particularidades: a) se utiliza comoárea geográfica básica la sección censal; b) se emplean métodosestadísticos que tienen en cuenta la estructura geográficade la región de estudio para la estimación de riesgos; c) seaprovechan las oportunidades que ofrecen 3 fuentes de datoscomplementarias (información sobre contaminación atmosférica,información sobre contaminación industrial y registrosde mortalidad), y d) se emprende un análisis coordinado degran alcance, favorecido por la implantación de la redes temáticasde investigación. El objetivo de este trabajo es explicarlos métodos para la suavización de indicadores de mortalidaden el proyecto MEDEA. El artículo se centra en lametodología y los resultados del modelo de mapa de enfermedadesde Besag, York y Mollié (BYM). Aunque en el proyectose han suavizado, mediante el modelo BYM, las razonesde mortalidad estandarizadas (RME) correspondientesa 17 grandes grupos de causas de defunción y 28 causasespecíficas, aquí se aplica esta metodología a la mortalidadpor cáncer de tráquea, de bronquios y de pulmón en ambossexos en la ciudad de Barcelona durante el período 1996-2003(AU)

Como resultado se aprecia un diferente patrón geográfico enlas RME suavizadas en ambos sexos. En los hombres se observanunas RME mayores que la unidad en los barrios conmayor privación socioeconómica. En las mujeres este patrónse observa en las zonas con un mayor nivel socioeconómico(AU)

Although there is some experience in the study of mortalityinequalities in Spanish cities, there are large urban centersthat have not yet been investigated using the census tract asthe unit of territorial analysis. The coordinated project ®Socioeconomicand environmental inequalities in mortality in Spanishcities. The MEDEA project» was designed to fill this gap,with the participation of 10 groups of researchers in Andalusia,Aragon, Catalonia, Galicia, Madrid, Valencia, and the BasqueCountry. The MEDEA project has four distinguishing features:a) the census tract is used as the basic geographicalarea; b) statistical methods that include the geographical structureof the region under study are employed for risk estimation;c) data are drawn from three complementary data sources(information on air pollution, information on industrialpollution, and the records of mortality registrars), and d) a coordinated,large-scale analysis, favored by the implantation ofcoordinated research networks, is carried out. The main objective of the present study was to explain the methods for smoothingmortality indicators in the context of the MEDEA project.This study focusses on the methodology and the resultsof the Besag, York and Mollié model (BYM) in disease mapping.In the MEDEA project, standardized mortality ratios(SMR), corresponding to 17 large groups of causes of deathand 28 specific causes, were smoothed by means of the BYMmodel; however, in the present study this methodology wasapplied to mortality due to cancer of the trachea, bronchi andlung in men and women in the city of Barcelona from 1996 to2003. As a result of smoothing, a different geographical patternfor SMR in both genders was observed. In men, a SMRhigher than unity was found in highly deprived areas. In contrast,in women, this pattern was observed in more affluentareas(AU)