Evaluation of a system to feedback information on Public Health: the experience of Area 2 of the Community of Madrid

BACKGROUND: In January 2000 the Public Health Service of Area 2, in the Region of Madrid, began to publish a weekly sheet on epidemiological and public health information (HISP) addressed to health professionals working in the Area. The aim of the present study was to estimate to how extend the "HISP" was known among health professionals of Area 2, and also to estimate the suitability and usefulness of its contents, during 2000. METHODS: A postal survey was carried out among a random sample of professionals working in Area 2. A descriptive analysis of main variables was done, variables associated to the knowledge of the "HISP" were investigated. Epi Info 2000 program was used for the analysis. RESULTS: The response rate was 79.7%. The best evaluated content was that related to epidemic outbreaks. An association between knowing the "HISP" and knowing the regional epidemiological bulletin (Boletin Epidemiológico de la Comunidad de Madrid) was found (OR = 9.3, IC 95% = 2.9-29.5), and also an association between knowing the "HISP" and being a physician (OR = 4.3, IC: 1.5-12.6, p = 0.005). CONCLUSIONS: The "HISP" has a good acceptance among health professionals of Area 2. They were more interested in contents related to stressful situations. It is necessary to improve the diffusion of information on public health among nursing professionals. Fundamento: En enero del año 2000 el Servicio de Salud Pública del Área Sanitaria 2 de la Comunidad de Madrid, inició la edición semanal de una Hoja de Información en Salud Pública (HISP) dirigida a los profesionales de la salud del Área. El presente trabajo tiene como objetivo estimar el conocimiento, aceptabilidad, utilidad y difusión de la HISP durante el año 2000. Métodos: Se realizó una encuesta por correo a una muestra de profesionales sanitarios del Área 2. Tras un análisis descriptivo se investigó, mediante análisis multivariante, qué factores explicaban que un profesional del Área conociera la HISP. Se utilizó el programa Epi Info 2000. Resultados: La tasa de respuesta fue del 79,7%. El apartado mejor valorado fue el de alertas en salud pública. Se encontró una asociación entre conocer la HISP y conocer el Boletín Epidemiológico de la Comunidad de Madrid (OR=9,3, IC 95%=2,9-29,5), y entre ser médico y recibir información de salud pública (OR=4,3, IC:1,5-12,6, p=0,005). Conclusiones: La HISP ha tenido buena aceptación entre los profesionales sanitarios del Área 2 que valoran más los contenidos relacionados con situaciones estresantes. Es necesario mejorar la difusión de la información de salud pública entre los profesionales de enfermería

Trends in socioeconomic inequalities in mortality in small areas of 33 Spanish cities

Background: In Spain, several ecological studies have analyzed trends in socioeconomic inequalities in mortality from all causes in urban areas over time. However, the results of these studies are quite heterogeneous finding, in general, that inequalities decreased, or remained stable. Therefore, the objectives of this study are: (1) to identify trends in geographical inequalities in all-cause mortality in the census tracts of 33 Spanish cities between the two periods 1996–1998 and 2005–2007; (2) to analyse trends in the relationship between these geographical inequalities and socioeconomic deprivation; and (3) to obtain an overall measure which summarises the relationship found in each one of the cities and to analyse its variation over time.Methods: Ecological study of trends with 2 cross-sectional cuts, corresponding to two periods of analysis: 1996–1998 and 2005–2007. Units of analysis were census tracts of the 33 Spanish cities. A deprivation index calculated for each census tracts in all cities was included as a covariate. A Bayesian hierarchical model was used to estimate smoothed Standardized Mortality Ratios (sSMR) by each census tract and period. The geographical distribution of these sSMR was represented using maps of septiles. In addition, two different Bayesian hierarchical models were used to measure the association between all-cause mortality and the deprivation index in each city and period, and by sex: (1) including the association as a fixed effect for each city; (2) including the association as random effects. In both models the data spatial structure can be controlled within each city. The association in each city was measured using relative risks (RR) and their 95 % credible intervals (95 % CI).Results: For most cities and in both sexes, mortality rates decline over time. For women, the mortality and deprivation patterns are similar in the first period, while in the second they are different for most cities. For men, RRs remain stable over time in 29 cities, in 3 diminish and in 1 increase. For women, in 30 cities, a non-significant change over time in RR is observed. However, in 4 cities RR diminishes. In overall terms, inequalities decrease (with a probability of 0.9) in both men (RR¿=¿1.13, 95 % CI¿=¿1.12–1.15 in the 1st period; RR¿=¿1.11, 95 % CI¿=¿1.09–1.13 in the 2nd period) and women (RR¿=¿1.07, 95 % CI¿=¿1.05–1.08 in the 1st period; RR¿=¿1.04, 95 % CI¿=¿1.02–1.06 in the 2nd period).Conclusions: In the future, it is important to conduct further trend studies, allowing to monitoring trends in socioeconomic inequalities in mortality and to identify (among other things) temporal factors that may influence these inequalities

Influence of socioeconomic status on community-acquired pneumonia outcomes in elderly patients requiring hospitalization: a multicenter observational study

The associations between socioeconomic status and community-acquired pneumonia outcomes in adults have been studied although studies did not always document a relationship. The aim of this multicenter observational study was to determine the association between socioeconomic status and community-acquired pneumonia outcomes in the elderly, in the context of a public health system providing universal free care to the whole population

The use of income information of census enumeration area as a proxy for the household income in a household survey

<p>Abstract</p> <p>Background</p> <p>Some of the Census Enumeration Areas' (CEA) information may help planning the sample of population studies but it can also be used for some analyses that require information that is more difficult to obtain at the individual or household level, such as income. This paper verifies if the income information of CEA can be used as a proxy for household income in a household survey.</p> <p>Methods</p> <p>A population-based survey conducted from January to December 2003 obtained data from a probabilistic sample of 1,734 households of Niterói, Rio de Janeiro, Brazil. Uniform semi-association models were adjusted in order to obtain information about the agreement/disagreement structure of data. The distribution of nutritional status categories of the population of Niterói according to income quintiles was performed using both CEA- and household-level income measures and then compared using Wald statistics for homogeneity. Body mass index was calculated using body mass and stature data measured in the households and then used to define nutritional status categories according to the World Health Organization. All estimates and statistics were calculated accounting for the structural information of the sample design and a significance level lower than 5% was adopted.</p> <p>Results</p> <p>The classification of households in the quintiles of household income was associated with the classification of these households in the quintiles of CEA income. The distribution of the nutritional status categories in all income quintiles did not differ significantly according to the source of income information (household or CEA) used in the definition of quintiles.</p> <p>Conclusion</p> <p>The structure of agreement/disagreement between quintiles of the household's monthly per capita income and quintiles of the head-of-household's mean nominal monthly income of the CEA, as well as the results produced by these measures when they were associated with the nutritional status of the population, showed that the CEA's income information can be used when income information at the individual or household levels is not available.</p

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.This article was partially funded by Ministerio de Economia y Competitividad via the research grant MTM2010-19528 (jointly financed with European Regional Development Fund), the FIS-FEDER projects: PI042013, PI040041, PI040170, PI040069, PI042602, PI040388, PI040489, PI042098, PI041260, PI040399, PI08/1488, PI08/0330 and by the CIBER Epidemiología y Salud Publica (CIBERESP), Spain

Chronic liver disease and cirrhosis mortality and social deprivation: a spatial analysis in small areas of Madrid region Mortalidad por cirrosis y otras hepatopatías crónicas y privación social: un análisis espacial por áreas pequeñas de la Comunidad de Madrid

Objectives: To study census-tract distribution of chronic liver disease and cirrhosis mortality in the Madrid Region and its association with socio-economic deprivation. Methods: Cross-sectional, ecological (3906 censustract) study, using mortality data for 1996-2003 and a deprivation index drawn up on the basis of 2001 census data. Standardised mortality ratios were calculated taking Spanish rates for 2001 as reference. Smoothed censustract relative risks were computed using the Besag-York-Mollie model. Relative risks (RRs) of dying and their 95% credibility intervals (95% CIs) were calculated according to quartiles of the deprivation index (with the fourth quartile -Q- of the indicator being the most unfavourable situation). Maps were plotted depicting the distribution of the posterior probability of RR > 1. Results: Census tracts with a high risk of mortality were detected, mostly located in the centre and on the eastern, south-eastern and south-western fringes of the city of Madrid. Mortality increased with deprivation. RRs of mortality according to quartíles of the deprivation index were: Q2 = 1.5 (CI: 1.3-1.6), Q3 = 1.9 (CI:1.7-2.2) and Q4 = 2.5 (CI:2.2-2.8) for men; and Q2 = 1.3 (CI:1.1-1.5), Q3 = 1.5 (CI:1.3-1.7) and Q4 = 1.6 (CI:1.3-1.8) forwomen. Conclusions: This small-area study enabled census tracts with excess mortality eligible for a special public health intervention to be identified, and their association with socio-economic deprivation to be confirmed.Objetivos: Estudiar la distribución por secciones censales de la mortalidad por cirrosis y hepatopatías crónicas de la Comunidad de Madrid y su asociación con la privación socioeconómica. Métodos: Estudio transversal y ecológico (3.906 secciones censales) utilizando los datos del registro de mortalidad de 1996-2003 y un índice de privación construido a partir de los datos del Censo de 2001. Se calcularon razones de mortalidad estandarizadas tomando como referencia las tasas de España del 2001. Los riesgos relativos suavizados de las secciones censales se calcularon siguiendo el modelo Besag-York-Molife. Se han estimado los riesgos relativos (RR) de morir, y su intervalo de credibilidad al 95% (ICI), según los cuartiles del índice de privación (siendo el cuarto cuartil -Q4- del indicador la situación más desfavorable). Se realizaron mapas representando la distribución de la probabilidad posterior de RR > 1. Resultados: Se han detectado secciones censales con alto riesgo de mortalidad localizadas en su mayoría en el centro y la periferia este, sureste y suroeste de la ciudad de Madrid. La mortalidad se incrementa con la privación social: El RR de mortalidad según cuartiles del índice de privación fue: Q2 = 1,5 (CI: 1,3-1,6); Q3 = 1,9 (CI: 1,7-2,2); Q4 = 2,5 (CI: 2,2-2,8), para los hombres; y Q2 = 1,3 (CI: 1,1-1,5); Q3 = 1,5 (CI: 1,3-1,7); Q4 = 1,6 (CI: 1,3-1,8), para las mujeres. Conclusiones: El estudio de áreas pequeñas ha permitido identificar secciones censales con sobremortalidad subsidiarias de una intervención especial de salud pública, así como confirmar su asociación con la privación socioeconómica

Prevalence and costs of multimorbidity by deprivation levels in the Basque Country: A population based study using health administrative databases

Background: Multimorbidity is a major challenge for healthcare systems. However, currently, its magnitude and impact in healthcare expenditures is still mostly unknown. Objective: To present an overview of the prevalence and costs of multimorbidity by socioeconomic levels in the whole Basque population. Methods: We develop a cross-sectional analysis that includes all the inhabitants of the Basque Country (N = 2,262,698). We utilize data from primary health care electronic medical records, hospital admissions, and outpatient care databases, corresponding to a 4 year period. Multimorbidity was defined as the presence of two or more chronic diseases out of a list of 52 of the most important and common chronic conditions given in the literature. We also use socioeconomic and demographic variables such as age, sex, individual healthcare cost, and deprivation level. Predicted adjusted costs were obtained by log-gamma regression models. Results: Multimorbidity of chronic diseases was found among 23.61\% of the total Basque population and among 66.13\% of those older than 65 years. Multimorbid patients account for 63.55\% of total healthcare expenditures. Prevalence of multimorbidity is higher in the most deprived areas for all age and sex groups. The annual cost of healthcare per patient generated for any chronic disease depends on the number of coexisting comorbidities, and varies from 637 (sic) for the first pathology in average to 1,657 (sic) for the ninth one. Conclusion: Multimorbidity is very common for the Basque population and its prevalence rises in age, and unfavourable socioeconomic environment. The costs of care for chronic patients with several conditions cannot be described as the sum of their individual pathologies in average. They usually increase dramatically according to the number of comorbidities. Given the ageing population, multimorbidity and its consequences should be taken into account in healthcare policy, the organization of care and medical research