Inequalities in participation in colorectal cancer screening programmes: a systematic review.

BACKGROUND: Colorectal cancer (CRC) is a major public health problem due to its incidence and mortality. Screening programmes help decrease its impact on the population through early detection. However, the uneven distribution of social determinants of health can cause inequalities. The aim of this study is to identify the social inequalities in the participation in CRC screening programmes. METHODS: A systematic review of the literature was carried out, searching in both health and social databases for papers published since 2000 in English, Spanish, Portuguese and French. The search strategies combined terms regarding screening, CRC, participation and social inequalities. Included papers were quantitative or qualitative primary studies analyzing gender and socioeconomic inequalities in the participation in CRC screening programmes implemented by public and private health-care providers and addressing 45- to 75-year-old population. RESULTS: A total of 96 studies, described in 102 articles, were included. Most were quantitative observational studies and analyzed population-based screening programmes. They were carried out mainly in the UK (n=29) and the USA (n=18). Participation in screening programmes varied from 1.1% to 82.8% using several methods. A total of 87 studies assessed participation by sex and one focussed on men, but only two provided an analysis from a gender perspective. Although men are at a higher risk of developing CRC, they generally were less likely to participate in screening programmes. Screening attendance was higher among the least deprived areas. CONCLUSIONS: Gender and socioeconomic inequalities in CRC screening participation should be addressed through the design of tailored interventions with a multidimensional focus.

Urban regeneration as population health intervention: a health impact assessment in the Bay of Pasaia (Spain).

BACKGROUND: An important health issue in urban areas is how changes arising from the regeneration of city-areas affect social determinants of health and equity. This paper examines the impacts attributable to a new fish market and to delays in the regeneration of a port area in a deteriorated region of the Bay of Pasaia (Spain). Potential differential impacts on local residents and socially vulnerable groups were evaluated to determine health inequalities. METHODS: An in-depth, prospective and concurrent Health-Impact-Assessment (HIA) focused on equity was conducted by the regional Public Health Department, following the Merseyside guidelines. Data from different sources was triangulated and impacts were identified using qualitative and quantitative methods. RESULTS: The intervention area is characterised by poor social, environmental, and health indicators. The distinctness of the two projects generates contrasting health and inequality impacts: generally positive for the new fish market and negative for the port area. The former creates recreational spaces and improves urban quality and social cohesion. By contrast, inaction and stagnation of the project in the port area perpetuates deterioration, a lack of safety, and poor health, as well as increased social frustration. CONCLUSIONS: In addition to assessing the health impacts of both projects this HIA promoted intersectoral partnerships, boosted a holistic and positive view of health and incorporated health and equity into the political discourse. Community-level participatory action enabled public health institutions to respond to new urban planning challenges and responsibilities in a more democratic manner.

Dose-response association of physical activity with acute myocardial infarction: do amount and intensity matter?

OBJECTIVE: The aims of this study were to analyze the dose-response association between leisure time physical activity (PA) practice and myocardial infarction (MI), considering not only the total amount but also the amount of PA at different levels of intensity, and to determine whether these associations were modified by age. METHOD: In a population-based age- and sex-matched case-control study, all first acute MI patients aged 25 to 74 years were prospectively registered in four Spanish hospitals between 2002 and 2004. Controls were randomly selected from population-based samples recruited during the same period of time. The Minnesota PA questionnaire was administered to assess total energy expenditure in PA and in light-, moderate-, and high-intensity PA. RESULTS: Finally, 1339 cases and 1339 controls were included. The association between PA and MI likelihood was non-linear, with significantly lower MI odds at low practice levels (≥ 500 MET·min/week), lowest odds around 1500 MET·min/week, and a plateau thereafter. Light- (in subjects older than 64 years), moderate-, and high-intensity PA produced similar benefits. CONCLUSION: Most of the population could reduce their likelihood of MI by engaging in PA at a moderate level of intensity or, in individuals older than 64 years, at a light level of intensity.

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.

Health Impact Assessments in Spain: Have They Been Effective?

BACKGROUND: Health impact assessment (HIA) has scarcely been developed in Spain, in comparison with other European countries. Moreover, little is known about the effectiveness of HIA, taking into account direct impacts-changes on the decision-making process-as well as indirect impacts or those related to the process outcomes. From this broad perspective of HIA usefulness, the purpose was to assess the effectiveness of five HIAs carried out in Spain at the local level, and the role played by context and process factors on these impacts. METHODS: We carried out a qualitative study based on 14 interviews to HIAs participants from different sectors. A documentary review and nonparticipant observation techniques were implemented for an in depth understanding. RESULTS: The direct effectiveness of the HIAs was partial, but they had indirect effectiveness in all cases. The institutional and socio-political context, however, was not favorable to effectiveness. The elements of the process were largely determined by the context, although their influence, mediated by the role of proactive individuals, favored the effectiveness of the HIAs. CONCLUSIONS: When assessing HIA effectiveness, it is important to take into account a broad perspective on the nature of impacts and those factors influencing direct and indirect effectiveness. In Spain, the institutional and sociopolitical context was less favorable to HIA effectiveness than process-related factors. In order to implement the Health in All Policies strategy, will be necessary to improve context-related factors, such as institutional facilitators for HIA and democratic quality.

[Effect of the population in collective dwellings on small-area mortality risk estimation in the Basque Country region (Spain)]. / Efecto producido por la población institucionalizada en la estimación del riesgo de mortalidad en áreas pequeñas de Euskadi (España).

OBJECTIVE: To quantify the effect of the inclusion of the population in collective dwellings on the estimation of mortality risk in the census areas of the Basque Country (Spain) for the main causes of mortality in the period 1996-2003. METHOD: Small-area ecological cross-sectional study. The main causes of mortality by sex were analyzed. RESULTS: When the general effect on all areas with a a population in collective dwellings was analyzed, hardly any noticeable effect was seen on either men or women. On the other hand, an effect was found when selecting the areas where the population in collective dwellings is more than 10% of the area's population. CONCLUSIONS: The effect of the inclusion of the population in collective dwellings clearly seen in causes of mortality, such as dementia and Alzheimer's disease, and in chronic obstructive pulmonary disease, related to greater dependence or frailty, and therefore related to being in a nursing or elderly persons' home, over-estimating the risk of mortality by approximately 8% and 4%, respectively, in these geographical areas.

[Health impact assessment: a tool to incorporate health into non-sanitary interventions]. / La evaluación del impacto sobre la salud: una herramienta para incorporar la salud en las intervenciones no sanitarias.

Interventions implemented by governments are very frequently related to the determinants of health. Health impact assessment (HIA) is used as a predictive tool to include health in nonhealth policymaking. This paper defines HIA, describes its methods, procedures and applications, and discusses opportunities and challenges associated with HIA. Doing a HIA implies studying the intervention, profiling the target population, and estimating its impacts on health by means of combining quantitative and qualitative evidence. HIA has been used in different kinds of policies (transports, urban regeneration, culture, energy development etc.), at different levels (local, national, European) and in many countries. Despite its scarce use in Spain, HIA allows to consider health in sectorial policymaking, taking into account social inequalities in health, so that healthier public policies can be designed. On the other hand, HIA is a tool under methodological development which use is hindered due to the existing narrow biomedical perspective on the determinants of health, and to the difficulties in working in public policy-making with multisectorial and participative perspectives.

[Small area estimation of health indicators based on data from the Basque Country Health Survey]. / Estimación de indicadores de salud en áreas pequeñas a partir de datos de la Encuesta de Salud de Euskadi.

Health surveys are a key tool for decision-making in health policies and health services planning. The use of small-area statistical methods that use information at different geographic levels may be useful for estimating health indicators at a lower geographical level than originally considered in the survey design.

[Not Available]. / Calidad de las variables administrativas del Conjunto Mínimo Básico de Datos de Osakidetza-Servicio Vasco de Salud.

INTRODUCTION: The Minimum Basic Data Set (MBDS) is the most used database in the National Health System. The objective of this study is to evaluate the quality, in terms of coding errors of the administrative variables of the MBDS in the Basque Country Health Service. MATERIAL AND METHODS: A retrospective, descriptive study by means of reviewing 768 clinical histories from 11 hospitals. STUDY PERIOD: the year 2005. The data obtained in the clinical histories were considered comparison standard and the level of discrepancy with the MBDS was established. The administrative variable measured were: sex, dates of birth, admission, discharge and of the first intervention, admission type and circumstances at discharge, department and physician responsible at discharge. The χ(2) was used to measure the between-hospital variability of the percentage discrepancy between the clinical histories and the MBDS records. RESULTS: There were 213,091 discharge reports analysed. The percentage errors in the MBDS varied between 0.7% in the sex variable and 24.9% in the physician responsible variable. The variability between hospitals was statistically significant (p=0.001). Good quality was observed in the records of the six variables: sex, date of birth, admission date, discharge date, admission type and medical department responsible. The records were lacking in the date of first intervention and the physician responsible variables.

[Gender differences in early reperfusion treatment after myocardial infarction]. / Diferencias de género en el tratamiento de revascularización precoz del infarto agudo de miocardio.

BACKGROUND AND OBJECTIVE: Clinical variability in myocardial infarction (MI) regarding age, comorbidities and atypical symptoms could determine gender differences in inhospital care. This study analyzes the magnitude and determinants of differences between men and women in early reperfusion therapy in people hospitalized after MI. PATIENTS AND METHOD: 2,836 patients who arrived to hospital with MI were studied (IBERICA-Basque Country study). The relative risk (RR) of receiving early reperfusion for men versus women, adjusted by age, clinical characteristics, risk factors, and pre-hospital delay was estimated. The effect decomposition methodology and the log binomial regression were applied. RESULTS: 29% of patients were women with a median age of 77 years. The RR of revascularization in men compared to women was different according to age. When factors such as hypertension diabetes, Killip III-IV at admission and atypical symptoms were taken into account, statistically significant differences between sexes were not detected at 45 years old (RR=0.91; 95% CI=0.77-1.07). However, for 64 years old and over, the RR of reperfusion was 1.24 (95% CI=1.05-1.47). Both the differences by sex and the sex-age interaction were no longer statistically significant after adjusting by pre-hospital delay. CONCLUSIONS: The delay to receive medical care in elderly women is responsible of gender differences in early reperfusion. It is necessary to analyze the reasons for treatment-seeking delay.

[Socioeconomic inequalities in mortality in the Basque Country [Spain]]. / Desigualdades socioeconómicas en la mortalidad en la Comunidad Autónoma del País Vasco.

OBJECTIVES: To describe socioeconomic inequalities in mortality in the Basque Country, using mortality and socioeconomic data by census sections. METHODS: Mortality and population data were obtained from the Basque Institute of Statistics. Socioeconomic characteristics of the census sections were assigned to each death and a deprivation index combining information from four socioeconomic indicators was computed. Age-adjusted mortality rates by sex, age group (0-64 > or = 65) and cause of death were calculated for each quintile of the deprivation index. Poisson regression models were fitted to estimate age-adjusted rate ratios and excess mortality attributable to inequalities. RESULTS: Mortality showed a gradient according to the deprivation index in men and women. Mortality was greater in the most deprived sections. Mortality inequalities were observed in men younger than 65 years. A total of 9.3% of deaths in men and 4.9% of those in women were attributable to socioeconomic inequalities. The relative importance of the cause of death differed according to the inequality measure used. Lifestyle-related causes of death were notable. CONCLUSION: This study illustrates the potential utility of census section socioeconomic indicators both to describe socioeconomic inequalities in mortality and to identify priorities for interventions.

[Analysis with the propensity score of the association between likelihood of treatment and event of interest in observational studies. An example with myocardial reperfusion]. / Análisis de la asociación entre un tratamiento y un acontecimiento de interés en estudios observacionales utilizando la probabilidad de recibir el tratamiento (Propensity Score). Un ejemplo con la reperfusión miocárdica.

INTRODUCTION AND OBJECTIVES: Analysis of the effect of treatment in observational studies is complex due to differences between treated and nontreated patients. Calculating the probability of receiving treatment conditioned on relevant covariates (propensity score [PS]) has been proposed as a method to control for these differences. We report an application of PS to assess the association between reperfusion treatment and 28-day case fatality in patients with acute myocardial infarction (AMI). METHOD: We describe the procedure used to calculate PS for receiving reperfusion treatment, and different strategies to analyze the association between PS and case fatality with regression modeling and matching. Data were from a population-based registry of 6307 patients with AMI in Spain during 1997-98. RESULTS: The PS for reperfusion was calculated in 5622 patients. In the multivariate analysis, reperfusion was associated with lower case fatality (OR = 0.59; 95% confidence interval [95% CI]: 0.46-0.77). When PS was included as a covariate, this association became non- significant (OR = 0.76; 95% CI: 0.57-1.01). In the subgroup of matched patients with a similar PS (n = 3138), treatment was not associated with case fatality (OR = 0.95; 95% CI: 0.72-1.26). When the influence of cases with missing data on PS was controlled for, reperfusion treatment was associated with lower fatality (OR = 0.66; 95% CI: 0.55-0.80). CONCLUSIONS: Calculating propensity score is a method that controls for differences between treated and nontreated patients. This score has limitations when matching is incomplete and when data are missing. Results of the present example suggest that reperfusion treatment reduces AMI case fatality.

Short-term (28 days) prognosis between genders according to the type of coronary event (Q-wave versus non-Q-wave acute myocardial infarction versus unstable angina pectoris).

The type of acute coronary syndrome may account for different prognoses between men and women after myocardial infarction. This study assessed gender differences in 28-day mortality rates for first or recurrent Q-wave and non-Q-wave myocardial infarctions and unstable angina by using data from 5 registries that included 20,836 patients (24.8% women). Mortality rates were higher in women with first Q-wave myocardial infarction but not in the other patients after adjusting for confounding variables.

[Hospital resources and myocardial infarction case fatality. The IBERICA study]. / Recursos hospitalarios y letalidad por infarto de miocardio. Estudio IBERICA.

INTRODUCTION AND OBJECTIVES: To determine the proportion of patients with myocardial infarction (MI) not admitted to a coronary care unit (CCU), the variables associated with admission into a CCU, and whether admission to a CCU, and the availability of coronary angiography in the same hospital, were associated with 28-day case fatality. PATIENTS AND METHOD: Population-based registry of MI in patients 25 to 74 years of age, admitted during 1996-1998. Demographic and clinical characteristics were recorded, as well as management, clinical course and survival after 28 days. Hospitals were classified according to the availability of a CCU and catheterization laboratory (advanced hospital), CCU only (intermediate hospital) or neither (basic hospital). Admission to the CCU was also recorded. RESULTS: In all, 9046 cases of MI were recorded; in 11.3% the patient was not admitted to a CCU. Age, smoking (OR=1.33; 95% CI, 1.08-1.64), non-Q MI (OR=0.62; 95% CI, 0.49-0.78) or undetermined location of MI (OR=0.34; 95% CI, 0.23-0.50), Killip 4 score on admission (OR=0.63; 95% CI, 0.40-1.00) and delay in arrival at the hospital >6 h were associated with CCU admission. Patients admitted to a CCU showed a lower case fatality in the first 24 h (4.2% vs 23.5%), which was independent of comorbidity, severity and treatment. The 24-hour survivors admitted to a basic hospital had higher case fatality (17.3% vs 7.8%) than other groups, which was related to differences in treatment. CONCLUSIONS: CCU admission is associated with a lower case fatality in the first 24 h. Admission to a basic hospital is associated with a higher 28-day case fatality even in patients who survive 24 h.

[Health impact assessment of regeneration projects in Pasaia Bay (Spain): perceptions of the affected population]. / Evaluación del impacto en salud de intervenciones de regeneración en la bahía de Pasaia: percepciones de la población afectada.

AIM: To determine the health impact perceived by residents and social players involved in two urban regeneration interventions (a new fish market and the redevelopment of North/West Herrera) in Pasaia Bay (Gipuzkoa, Spain) that have been the subject of a health impact assessment (HIA). METHOD: Qualitative methodology was used with theoretical and intentional sampling. Information was obtained through 18 personal interviews and five discussion groups and was analyzed in accordance with the sociological analysis model of discourse. The preliminary results were triangulated and contrasted among the team members and those taking part in the study. RESULTS: Four interrelated areas of health impact were identified: urban quality, connectivity, social cohesion, and-to a lesser extent-employment. Specific aspects for improvement were indicated for each field, as well as the influence of the sociopolitical context and conceptions of health. Other significant findings were the impact of the process of carrying out the building work and the distinct perspectives due to the differing roles and social profiles of participants. CONCLUSIONS: Knowledge of the perceptions and expectations of affected individuals through qualitative methods provides novel elements and interrelations that are needed to apply HIA as a tool for improving health and for citizen participation.

[Moving forward in health impact assessment: analysis of the non-health public policies of the Basque Government (Spain) as step prior to systematic screening]. / Avanzando en la evaluación del impacto en la salud: análisis de las políticas públicas sectoriales del Gobierno Vasco como paso previo a la fase de cribado sistemático.

Health not only depends on biologic or lifestyle factors but also on other economic, social, political, and environmental factors that shape the way people live and become ill. Thus, health policies are not the only policies affecting health, and consequently governments are increasingly interested in identifying the effect of other non-health policies on health. Health impact assessment is a prospective methodology that aims to predict the health impacts of policies before their implementation so that modifications can be suggested to maximize positive effects and avoid unexpected negative repercussions on health. The first stage in this process is screening, which can be used to select the interventions that could benefit from complete health impact assessment. Since resources are limited and not all government interventions can be assessed, tools that allow prioritization are essential. As a first stage in the validation of a systematic screening tool for health impact assessment in Spain, this article presents the process of compiling and classifying the non-health public policies of the eighth term of office of the Basque Government. Of the 97 policies analyzed, 76% were related to structural determinants of health inequalities, 79% were tactical or operational, 67% were aimed at specific population groups, and 66% were already implemented. The technical staff of other participating departments perceived the entire process of this initiative and its rationale positively. This initial experience allowed the planning of non-health policies in the Basque Country to be determined in detail as a means to move forward in incorporating impact on health in all policies.

Socioeconomic differences in incidence and relative survival after a first acute myocardial infarction in the Basque Country, Spain.

OBJECTIVE: To estimate the incidence and 28-day and 5-year survival rates after a first acute myocardial infarction (AMI) in relation to socioeconomic status in the Basque Country (Spain) between 1999 and 2000. METHODS: Data from a population-based registry of AMI were used. The study included 3,619 patients to calculate age-standardized incidence by the direct method and 2,003 patients (out-of-hospital deaths were excluded) to calculate observed and relative survival using the Kaplan-Meier and Hakulinen methods, respectively. Socioeconomic status was quantified using a deprivation index ecologically assigned to each patient according to the census tract of residence at diagnosis of AMI and was categorized into quintiles. RESULTS: Among men, the risk of AMI was higher in the lowest socioeconomic group than in the highest socioeconomic group (RR=1.17; 95%CI: 1.02-1.34). In men, a higher risk of death was observed in the middle (Q3; HR=1.60; 95%CI: 1.02-2.51) and low (Q5; HR=1.65; 95%CI: 1.02-2.69) quintiles compared with the least deprived group for age-adjusted survival during the acute phase. In the fully adjusted model, this effect was attenuated and no significant differences were observed in long-term survival. Among women, no significant differences were observed either in incidence or in short- and long-term survival. CONCLUSIONS: Socioeconomic inequalities were only observed in men in incidence and in survival during the acute phase after an AMI.

Sex differences in relative survival and prognostic factors in patients with a first acute myocardial infarction in Guipuzcoa, Spain.

INTRODUCTION AND OBJECTIVES: To determine 28-day and 5-year survival rates in patients who have experienced a first acute myocardial infarction and to identify prognostic factors for survival. METHODS: This study involved 1,677 patients with a first acute myocardial infarction who were treated at a hospital in Guipuzcoa, Spain between 1997 and 2000. RESULTS: Women were approximately 10 years older than men, presented more often with diabetes and hypertension, were in a less favorable clinical condition, and consumed fewer medical resources, but were less likely to smoke. Survival rates at 28 days and 5 years were higher in men over 60 years of age. In the period from 29 days to 5 years, the relative survival rate was higher in men from all age groups. Factors associated with short- and long-term survival varied between the sexes. Disease severity in the acute phase and, later on, age were associated with survival in both men and women, whereas the effect of other variables differed between the sexes. CONCLUSIONS: Myocardial infarction is a condition associated with high mortality in the acute phase. There is an interaction between sex and age that affects survival after an acute myocardial infarction. A number of factors are associated with poor short- and long-term prognoses in both sexes.

[Health impact assessment: one way to introduce health in all policies. SESPAS Report 2010]. / La evaluación del impacto en la salud: una vía para introducir la salud en todas las políticas. Informe SESPAS 2010.

Health impact assessment is a predictive tool to support decisions in policy-making. Current experience shows that health impact assessment could play an important role in the development of the Health in All Policies strategy. This strategy has been extensively used in other European countries and in a wide range of policy and administrative sectors. Health impact assessment is hardly ever mandatory and is frequently carried out separately from other impact assessments. The use of this process in Spain is relatively new, limited and fundamentally based on local level experiences and the screening of regional interventions. The current normative and organizational reform of public health in Spain provides an excellent opportunity to promote the development of health impact assessment. Some of the barriers to the development of this process are related to the biomedical model of health prevailing among health professionals, politicians, and the general population, political disaffection, lack of assessment culture, underdevelopment of community participation processes, and insufficient intersectoral work. Health impact assessment provides an opportunity to move toward improving the population's health and reducing inequalities in health. Consequently, political commitment, as well as investment in education and research, is needed to introduce and develop health impact assessment in all administrative settings and policy sectors.