Initiation of lipid-lowering therapy as primary prevention of cardiovascular disease in the elderly.

AIMS: This study aimed to analyse the initiation adherence phase to lipid-lowering therapy for primary prevention of cardiovascular disease in a Spanish population aged 70 years or older. The secondary objective was to identify the determinants of initiation and early discontinuation. METHODS: This was an observational study conducted in the CArdiovascular Risk factors for HEalth Service research (CARhES) cohort. People aged 70 and older with a first prescription of a lipid-lowering drug and without a previous major adverse cardiovascular event (MACE) were selected (2018-2021). Data on sociodemographics, clinical conditions, drugs and use of health services were collected from clinical and administrative electronic databases. The study population was classified into: non-initiation, early discontinuation (i.e., discontinuation after the first dispensing) and initiation with more than one dispensing. Their characteristics were compared. Determinants of initiation and early discontinuation were explored. RESULTS: Among the 15 019 people studied, 80.2% initiated the medication, 11.2% showed an early discontinuation and 8.6% were non-initiators. An older age or conditions such as dementia, diabetes or depression reduced the likelihood of initiation, while obesity and a high pharmacological burden increased it. People over 90 years of age or those prescribed a statin in combination were more likely to have an early discontinuation. CONCLUSIONS: Non-initiation and early discontinuation are common among older people prescribed lipid-lowering drugs as primary prevention of cardiovascular disease for the first time. The presence of chronic pathologies other than cardiovascular ones should be considered when assessing whether or not to prescribe these drugs in the elderly.

Exploring sex variations in the incidence of cardiovascular events: a counterfactual decomposition analysis.

BACKGROUND: Some cardiovascular risk factors (CVRFs) that occur differently in men and women can be addressed to reduce the risk of suffering a major adverse cardiovascular event (MACE). Furthermore, the development of MACE is highly influenced by social determinants of health. Counterfactual decomposition analysis is a new methodology that has the potential to be used to disentangle the role of different factors in health inequalities. This study aimed to assess sex differences in the incidence of MACE and to estimate how much of the difference could be attributed to the prevalence of diabetes, hypertension, hypercholesterolaemia and socioeconomic status (SES). METHODS: Descriptive and counterfactual analyses were conducted in a population of 278 515 people with CVRFs. The contribution of the causal factors was estimated by comparing the observed risk ratio with the causal factor distribution that would have been observed if men had been set to have the same factor distribution as women. The study period was between 2018 and 2021. RESULTS: The most prevalent CVRF was hypercholesterolaemia, which was similar in both sexes, while diabetes was more prevalent in men. The incidence of MACE was higher in men than in women. The main causal mediating factors that contributed to the sex differences were diabetes and SES, the latter with an offsetting effect. CONCLUSIONS: This result suggests that to reduce the MACE gap between sexes, diabetes prevention programmes targeting men and more gender-equal salary policies should be implemented.

[Evaluation of virtual consultation by primary care professionals: quality dimensions and opportunities for improvement]. / Evaluación de la interconsulta virtual por los profesionales de atención primaria: dimensiones de la calidad y oportunidades de mejora.

OBJECTIVE: To know the opinion of Aragon primary care physicians about virtual consultation and its impact on the different healthcare quality domains. DESIGN: Cross-sectional study through a self-developed survey. Data collection was enabled from April 14th to May 31st, 2023. SITE: Physicians with healthcare duties in primary care in Aragon. PARTICIPANTS: Specialist physicians and resident interns in Family and Community Medicine. MEANSUREMENTS: Job characteristics, Likert variables assessing virtual consultation as a tool and its impact on healthcare quality domains, identification of advantages and disadvantages, and free answer questions proposing improvement strategies. RESULTS: 202 responses. 90.1% of participants consider virtual consultation useful, while 67.8% believe that it improves the quality of referrals. The main advantages identified are its contribution to professional enrichment and the integral visión of the patient, and the improvement of communication between the primary and secondary levels of care; the main drawback is the role of Primary Care as an intermediary in patient information. Efficiency and equity were the most highly rated quality domains, with safety being the least valued. CONCLUSIONS: Virtual consultation can promote communication and coordination of care, and enhance the primary care resolution capacity. Its success relies on training and time for its use, as well as on reaching a consensus on protocols and to homogenize resource distribution. Nevertheless, there are still opportunities for improvement, mainly in the realm of safety.

Desigualdades de género en la utilización de servicios sanitarios, España 2006-2017.

Objetivo. Identificar la existencia de desigualdades de género en utilización de atención primaria (AP), urgencias y consulta de enfermería. Material y métodos. Estudio transversal, con encuestas nacionales y europeas de salud (2006-2017) de población española de 16 o más años (n=98 929 personas). Se estudió la evolución en el tiempo y la influencia de los determinantes de género mediante regresiones logísticas en la utilización de servicios sanitarios. Resultados. La utilización de los tres servicios asistenciales fue mayor en mujeres. Personas pensionistas, aquellas dedi-cadas a labores del hogar, con estudios bajos y clase social manual, tuvieron mayor riesgo de utilización de AP. Urgencias: a mayor edad menor riesgo de utilización. Enfermería: aque-llas dedicadas a las labores del hogar tenían mayor riesgo de utilización. Conclusiones. Son necesarios estudios que analicen las desigualdades de género en contextos como la utilización de servicios sanitarios, así como nuevas estrategias de gestión para conseguir la equidad asistencial.

The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint.

Despite half a century of dedicated studies, medication adherence remains far from perfect, with many patients not taking their medications as prescribed. The magnitude of this problem is rising, jeopardizing the effectiveness of evidence-based therapies. An important reason for this is the unprecedented demographic change at the beginning of the 21st century. Aging leads to multimorbidity and complex therapeutic regimens that create a fertile ground for nonadherence. As this scenario is a global problem, it needs a worldwide answer. Could this answer be provided, given the new opportunities created by the digitization of health care? Daily, health-related information is being collected in electronic health records, pharmacy dispensing databases, health insurance systems, and national health system records. These big data repositories offer a unique chance to study adherence both retrospectively and prospectively at the population level, as well as its related factors. In order to make full use of this opportunity, there is a need to develop standardized measures of adherence, which can be applied globally to big data and will inform scientific research, clinical practice, and public health. These standardized measures may also enable a better understanding of the relationship between adherence and clinical outcomes, and allow for fair benchmarking of the effectiveness and cost-effectiveness of adherence-targeting interventions. Unfortunately, despite this obvious need, such standards are still lacking. Therefore, the aim of this paper is to call for a consensus on global standards for measuring adherence with big data. More specifically, sound standards of formatting and analyzing big data are needed in order to assess, uniformly present, and compare patterns of medication adherence across studies. Wide use of these standards may improve adherence and make health care systems more effective and sustainable.

[Health-care utilization in elderly (Spain 2006-2012): Influence of health status and social class]. / Utilización de servicios sanitarios en ancianos (España 2006-2012): influencia del nivel de salud y de la clase social.

OBJECTIVE: to explore health-care utilization (primary and specialized health-care, hospitalizations, day hospital and emergency services) and overuse in elderly in Spain, considering the influence of health status, sex, social class and its temporal trend. DESIGN: cross sectional study in two phases. SETTING: Spain. PARTICIPANTS: people surveyed in the National Health Surveys 2006 and 2011-12. MAIN MEASUREMENTS: Health status was measured using self-rated and diagnosed health (number and diagnoses). Social class was obtained from the last occupation of the main supporter (manual and non-manual workers). Logistic regression analyses were conducted adjusting by sex, age, health status, social class and year, obtaining its predictive capacity. RESULTS: the percentage of elderly population with health-care utilization decreased during the period analyzed. Women who belonged to the manual workers category presented the highest prevalence of low health (low self-rated health in 2006: 70.6%). Low health status was associated with a higher utilization of health-care services. Self-rated health was a better predictor of health-care utilization and overuse than diagnosed health, getting the highest predictive capacity for specialized health-care (C = 0.676). Old people from low social class used with higher frequency primary health-care and emergency services. On the other hand, specialized health-care and day hospital were more used by high social classes. CONCLUSIONS: inequalities in health and health-care utilization have been observed in elderly according social class. It is necessary to consider self-rated health as a health-care utilization predictor and to review our health-care services accessibility and equity.

[Differences in the use of health services in the Spanish adult populations].

Objective: To explore the use of health services in the Spanish population, according health insurance. Methods: A cross-sectional study using data from the Spanish National Health Survey 2011-2012 was conducted. 21 007 people were included. Among individuals with health coverage, three groups were differentiated: people with public, private and mixed insurance. Univariate and bivariate analyses were developed to know health services and bivariate analyses were developed to know health services use differences by health insurance. Results: 83.5 % of the population reported only a public coverage, 2.5 % has only private insurance and 14 % was enrolled in both forms. Individuals with public coverage visited with higher frequency the general physician (81.9 %), while those with only private insurance visited a specialist in the highest proportion (65.6 %). Individuals with only public health coverage presented the longest waiting times, for both programmed hospitalization and medical attention. In general terms, people with double coverage showed the greatest participation in preventive activities. Conclusions: Public coverage is the most important coverage of the Spanish population. Different use of health resources were observed according to health insurance.

Gender health care inequalities in health crisis: when uncertainty can lead to inequality.

BACKGROUND: In health crisis, inequalities in access to and use of health care services become more evident. The objective of this study is to analyse the existence and evolution of gender inequalities in access to and use of healthcare services in the context of the COVID-19 health crisis. METHODS: Retrospective cohort study using data from all individuals with a confirmed COVID-19 infection from March 2020 to March 2022 in Aragón (Spain) (390,099 cases). Health care access and use was analysed by gender for the different pandemic waves. Univariate and multivariate analyses were conducted to evaluate the effect of sex in health care. Blinder-Oaxaca decomposition methods were performed to explain gender gaps observed. RESULTS: The health care received throughout the COVID-19 pandemic differed between men and women. Women were admitted to hospital and intensive care units less frequently than men and their stays were shorter. Differences observed between men and women narrowed throughout the pandemic, but persisted even after adjusting for age, socioeconomic status, morbidity burden or the patient's place of residence. Differences in sociodemographic characteristics and morbidity burden could explain partially the gender inequalities found, mainly in the later phases of the pandemic, but not in the earlier waves. CONCLUSIONS: There were gender inequalities in access to and use of health services during the COVID-19 pandemic. Inequalities were greater in the first waves of the pandemic, but did not disappear. Analysis of health crises must take into account an intersectional gender perspective to ensure equitable health care.

Virtual Consultation in Dermatology: Access Inequalities According to Socioeconomic Characteristics and the Place of Residence.

Virtual consultation has been implemented as a tool to improve the cooperation and coordination between primary care and other specialties. However, in its use in dermatology, inequities have been described. The aim of this study was to identify individual and geographical factors affecting the likelihood of accessing this resource. We conducted a cross-sectional study. The study population was individuals living in Aragón, a region in the north-east of Spain, who were users of the Aragon Health Service in 2021. To explore the differences in individual and area characteristics, between patients with virtual and non-virtual dermatology consultation, we performed bivariate analyses. To analyse the use of virtual consultation in dermatology, a multilevel methodology stratified by sex was developed. We analysed 39,174 dermatology visits, with 16,910 being virtual (43.17%). The rates of virtual consultation were higher in urban areas and the most affluent areas, for older persons, chronic complex patients and people with more advantageous socioeconomic positions. The best multilevel model conducted showed inequalities by socioeconomic position and area of residence. There are individual and area inequalities in the use of teledermatology. As this tool should improve equity of access, teledermatology interventions must address and adapt to the needs of the local patient population.

[Health, sport and socioeconomic vulnerability in an urban community]. / Salud, deporte y vulnerabilidad socioeconómica en una comunidad urbana.

OBJECTIVE: To analyse the association between perceived and diagnosed health, sport practice, and the belonging to a vulnerable socioeconomic group. DESIGN: Observational study. Questionnaire. SETTING: Casablanca neighbourhood. Primary Health Care Area in the city of Zaragoza (Spain). PARTICIPANTS: 1032 residents aged over 15 years. MAIN MEASUREMENTS: a) Perceived health using the Health Perception Questionnaire of Davis and Ware; b) diagnosed morbidity; c) sport practice using the Healthy Lifestyles questionnaire-94 of Herrero, Musitu and Gracia, and d) socioeconomic vulnerability based on the occupational, educational and economic conditions of the family unit. RESULTS: Socioeconomic vulnerability had a statistically significant association with diagnosed health, self-perceived health, and sport practice. Vulnerability and exercise showed a higher influence over self-perceived health than over diagnosed health. In the analysis stratified by gender, the association could only be observed in men. CONCLUSIONS: The impact of health social factors is modulated by gender. Social stratification and lifestyles, such as sport practice, are predictors of self-perceived health and, thus, of the relationship between the population and the use of health services.

[Medicine consumption in the adult population: Influence of self-medication]. / Consumo de medicamentos en población adulta: influencia del autoconsumo.

OBJECTIVE: The objective of this study is to determine the factors associated with medicine consumption and self-consumption in Aragón (Spain) DESIGN: Cross-sectional study from the National Health Survey 2006. SETTING: Aragón (Spain). PARTICIPANTS: Adult population in Aragón (Spain). MAIN MEASUREMENTS: Medicine consumption and the type of consumption. Demographic, health and health style variables were also considered. RESULTS: At least one drug was taken by the 65.1% of the adults in Aragón during the previous two weeks. Of this group, 11.7% were self-medicated. A higher frequency of consumption was observed in females and older people, and in those with a poor self-perceived health. People with a low educational level took drugs more often, but self-consumption was more frequent in the group with a high educational level. CONCLUSIONS: Medicine consumption and self-consumption in adults in Aragón is common. It is of great interest to know the consumption profile of these patients in order to develop specific interventions to reduce unnecessary consumption and to improve safety.

Does virtual consultation between primary and specialised care improve healthcare quality? A scoping review of healthcare quality domains assessment.

BACKGROUND: Virtual consultation has been proposed as a promising tool to improve the coordination and quality of healthcare between primary and specialised care. However, despite its potential facilitators, the evidence on the usefulness of virtual consultation for improving healthcare quality domains is fragmented and unclear. This scoping review aims to assess the impact of virtual consultation on different healthcare quality domains. MATERIAL AND METHODS: We conducted a scoping review with a rigorous search strategy on PubMed, EMBASE and Cochrane Library databases. The inclusion criteria were original articles, reviews, meta-analyses or letters to the editor, published between 1 January 2017 and 24 June 2022, and available in English, Spanish or French. For each of the articles selected, we identified the addressed healthcare quality domains, their facilitators and barriers, areas of improvement and data gaps. We have adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Review reporting standards. RESULTS: 1284 manuscripts were retrieved. Finally, 235 papers were included in this review, most of which were original, descriptive studies. The most evaluated quality domain was effectiveness (223 articles). Safety and patient-centred care were the least evaluated. Simultaneous assessment of more than one domain was observed in 117 papers, being effectiveness and timeliness the most frequent combination. Our analysis revealed that virtual consultation is in development and underused. This tool has the potential to improve access to specialised care and enhance coordination between professionals. CONCLUSIONS: Virtual consultation has the potential to provide effective, efficient, equitable and timely attention. However, its contribution to safety and patient-centered care needs further evaluation. Our review emphasises the need for more rigorous research and standardised quality assessment criteria to obtain robust evidence on the usefulness of virtual consultation for improving healthcare quality domains.

Spanish translation of the ABC taxonomy for medication adherence.

BACKGROUND: The Ascertaining Barriers to Compliance (ABC) taxonomy was developed aiming at systematizing definitions and operationalizations of medication adherence. Its translation is crucial to improve the generalizability, application and comparison of study findings. OBJECTIVE: To provide a consensus translation of the ABC taxonomy from English to Spanish. METHODS: A two-phased approach was used, according to the Preferred Methods for the Translation of the ABC Taxonomy for Medication Adherence. Two literature reviews were conducted: to identify Spanish synonyms and definitions of the ABC taxonomy, and to identify a panel of Spanish-speaking experts in medication adherence. A Delphi survey was designed based on the synonyms and definitions found. The experts previously identified were invited to participate in the Delphi. A consensus of ≥85% was established for the first round. A moderate consensus (50-75%), a consensus (75-95%) or a strong consensus (>95%) were considered to be necessary in the second round. RESULTS: Forty potential synonyms of the ABC taxonomy terms were identified from a total of 270 papers. The response rate during the first Delphi round was 32% (63/197) and in the second round 86% (54/63). A strong consensus was reached for the term "inicio del tratamiento" (96%) and consensus for the term "implementación" (83%). A moderate consensus was obtained for "adherencia a la medicación" (70%), "interrupción del tratamiento" (52%), "manejo de la adherencia" (54%) and "disciplinas relacionadas con la adherencia" (74%). No consensus was reached for the term persistence. Five out of the seven definitions reached a consensus in the first round, and two definitions a moderate consensus after the second round. CONCLUSION: The adoption of the Spanish taxonomy will increase transparency, comparability and transferability of results in the field of medication adherence. This may facilitate benchmarking of adherence strategies between Spanish-speaking researchers and practitioners, and other language speakers.

Influence of cardiovascular risk factors and treatment exposure on cardiovascular event incidence: Assessment using machine learning algorithms.

Assessment of the influence of cardiovascular risk factors (CVRF) on cardiovascular event (CVE) using machine learning algorithms offers some advantages over preexisting scoring systems, and better enables personalized medicine approaches to cardiovascular prevention. Using data from four different sources, we evaluated the outcomes of three machine learning algorithms for CVE prediction using different combinations of predictive variables and analysed the influence of different CVRF-related variables on CVE prediction when included in these algorithms. A cohort study based on a male cohort of workers applying populational data was conducted. The population of the study consisted of 3746 males. For descriptive analyses, mean and standard deviation were used for quantitative variables, and percentages for categorical ones. Machine learning algorithms used were XGBoost, Random Forest and Naïve Bayes (NB). They were applied to two groups of variables: i) age, physical status, Hypercholesterolemia (HC), Hypertension, and Diabetes Mellitus (DM) and ii) these variables plus treatment exposure, based on the adherence to the treatment for DM, hypertension and HC. All methods point out to the age as the most influential variable in the incidence of a CVE. When considering treatment exposure, it was more influential than any other CVRF, which changed its influence depending on the model and algorithm applied. According to the performance of the algorithms, the most accurate was Random Forest when treatment exposure was considered (F1 score 0.84), followed by XGBoost. Adherence to treatment showed to be an important variable in the risk of having a CVE. These algorithms could be applied to create models for every population, and they can be used in primary care to manage interventions personalized for every subject.

Gender Gap in Self-Rated Health: A Cohort Perspective in Eastern European Countries.

BACKGROUND: The relationship between self-rated health and gender differs across countries and generations. The aim of this study is to analyze the effect of socioeconomic conditions on self-rated health from a generational perspective, its differential effect on gender, and its influence on the gender gap in order to explore health diversity using a multidisciplinary approach and considering policy implications in Eastern European countries. METHODS: We used data drawn from the European Health Interview Survey for eight Eastern European countries and EUROSTAT from 2006 through to 2009. We conducted multilevel analyses to understand the individual and national health determinants of self-rated health by gender and to determine whether national differences remain after controlling for micro variables. In order to analyze the role of equity (Gini quartile) in gender differences, Oaxaca analyses were used. RESULTS: The self-rated health gender gap increases with age. Individual characteristics, such as educational level or smoking, influence citizens' perceived health, and have a stronger effect on women than on men. Knowing both the characteristics (endowment effects) and the effects of individual characteristics (coefficient effects) on health is important in order to understand gender gaps among people from the silent generation. CONCLUSIONS: Our research indicates that random effects are greater for men than for women. Moreover, random effects might be explained to a certain extent by economic equity (Gini index). The combined effects of gender, cohort, and geographical differences on self-rated health have to be taken into account to develop public health policies.

Inequities in hospitalisation in a South European country: Lessons learned from the last European recession.

In Spain, regional health systems (universal access) depend on each Autonomous Communities (ACs). The management of the 2008 economic crisis has been different in the ACs, which may have led to an increase in inequities in the use of health services. The objective of this study was to analyse the impact of individual and regional characteristics on public hospitalisation inequities in Spain for the period 2003-2017. We developed a repeated cross-sectional study through Spanish National Health Surveys (2003, 2006, 2011 and 2017) and the Spanish European Health Survey (2014; n = 118,499 subjects). Multilevel and Oaxaca decomposition analyses were conducted to analyse the effect of individual and regional factors in hospitalisation inequities. The results showed that the prevalence of hospitalisation was higher for women (2003: 11.2%; 2017: 9.0%) than for men (2003: 10.7%; 2017: 8.8%) and it decreased with time. Multilevel analyses showed that, after adjustment for variables related to healthcare demand, there were inequities in the probability of hospitalisation, mainly in women. The decomposition analyses showed a higher effect of the number of hospital beds available on hospitalisation in men than in women. There is a direct relationship between the number of hospital beds and the probability of hospitalisation in both sexes. In conclusion, a progressive decrease in hospitalisation use was observed in Spain in the context of the economic recession. Individual-level and regional-level factors were associated with hospitalisation inequities. It is necessary to guarantee equitable access to health services according to the need even in recession times.

Understanding the COVID-19 Pandemic in Nursing Homes (Aragón, Spain): Sociodemographic and Clinical Factors Associated With Hospitalization and Mortality.

Old people residing in nursing homes have been a vulnerable group to the coronavirus disease 2019 (COVID-19) pandemic, with high rates of infection and death. Our objective was to describe the profile of institutionalized patients with a confirmed COVID-19 infection and the socioeconomic and morbidity factors associated with hospitalization and death. We conducted a retrospective cohort study including data from subjects aged 65 years or older residing in a nursing home with a confirmed COVID-19 infection from March 2020 to March 2021 (4,632 individuals) in Aragón (Spain). We analyzed their sociodemographic and clinical profiles and factors related to hospitalization and mortality at 7, 30, and 90 days of COVID-19 diagnosis using logistic regression analyses. We found that the risk of hospitalization and mortality varied according to sociodemographic and morbidity profile. There were inequalities in hospitalization by socioeconomic status and gender. Patients with low contributory pensions and women had a lower risk of hospitalization. Diabetes mellitus, heart failure, and chronic kidney disease were associated with a higher risk of hospitalization. On the contrary, people with dementia showed the highest risk of mortality with no hospitalization. Patient-specific factors must be considered to develop equitable and effective measures in nursing homes to be prepared for future health threats.

Patterns of statin adherence in primary cardiovascular disease prevention during the pandemic.

Background: Study of medication adherence patterns can help identify patients who would benefit from effective interventions to improve adherence. Objectives: To identify and compare groups of statin users based on their adherence patterns before and during the COVID-19 pandemic, to characterize the profile of users in each group, and to analyze predictors of distinct adherence patterns. Methods: Participants of the CARhES (CArdiovascular Risk factors for HEalth Services research) cohort, comprising individuals aged >16 years, residing in Aragón (Spain), with hypertension, diabetes mellitus and/or dyslipidemia, took part in this observational longitudinal study. Individuals who began statin therapy during January-June 2019 were selected and followed up until June 2021. Those with a cardiovascular event before or during follow-up were excluded. Data were obtained from healthcare system data sources. Statin treatment adherence during the implementation phase was estimated bimonthly using the Continuous Medication Availability (CMA9) function in the AdhereR package. Group-based trajectory models were developed to group statin users according to their adherence pattern during July 2019-June 2021. Group characteristics were compared and predictors of each adherence pattern were analyzed using multinomial logistic regression. Results: Of 15,332 new statin users, 30.8% had a mean CMA9 ≥80% for the entire study period. Four distinct adherence patterns were identified: high adherence (37.2% of the study population); poor adherence (35.6%); occasional use (14.9%); and gradual decline (12.3%). The latter two groups included users who showed a change in adherence (increase or decrease) during the pandemic emergence. Users with suboptimal adherence were likely to be younger, not pensioners, not institutionalized, with low morbidity burden and a low number of comorbidities. Female sex and switching between statins of different intensity increased the likelihood of belonging to the occasional use group, in which improved adherence coincided with the pandemic. Conclusion: We identified four distinct adherence patterns in a population of new statin users; two of them modified their adherence during the pandemic. Characterization of these groups could enable more effective distribution of resources in future similar crisis and the routine implementation of patient-centered interventions to improve medication adherence.

Effectiveness of Statins for Primary Prevention of Cardiovascular Disease in Low- and Medium-Risk Males: A Causal Inference Approach with Observational Data.

In this study, we analyzed the effectiveness of statin therapy for the primary prevention of cardiovascular disease (CVD) in low- and medium-risk patients. Using observational data, we estimated effectiveness by emulating a hypothetical randomized clinical trial comparing statin initiators with statin non-initiators. Two approaches were used to adjust for potential confounding factors: matching and inverse probability weighting in marginal structural models. The estimates of effectiveness were obtained by intention-to-treat and per-protocol analysis. The intention-to-treat analysis revealed an absolute risk reduction of 7.2 (95% confidence interval (CI95%), -6.6-21.0) events per 1000 subjects treated for 5 years in the matched design, and 2.2 (CI95%, -3.9-8.2) in the marginal structural model. The per-protocol analysis revealed an absolute risk reduction of 16.7 (CI95%, -3.0-36) events per 1000 subjects treated for 5 years in the matched design and 5.8 (CI95%, 0.3-11.4) in the marginal structural model. The indication for statin treatment for primary prevention in individuals with low and medium cardiovascular risk appears to be inefficient, but improves with better adherence and in subjectvs with higher risk.

Understanding the Effect of Economic Recession on Healthcare Services: A Systematic Review.

Background: We aimed to examine the available evidence about the impact of the crisis on the use of healthcare services in Europe. Methods: We developed a systematic review of scientific literature for the period 2008-2017. The researchers searched three databases Medline/PubMed, Scopus and Web of Knowledge. For manual searching, several specialized journals of related scope as well as the finalized articles' reference list were searched. Descriptive and thematic analyses were carried out. PRISMA quality criteria and the recommendations of the Centre for Reviews and Dissemination were followed. Results: Of 3,685 studies, 35 met inclusion criteria. Regarding "Effects of the social structure" healthcare accessibility inequalities increased by socioeconomic levels, especially in unemployed, people with low educational levels and migrants. Regarding "Healthcare effect", the impact of the recession was observed in unmet needs, pharmaceutical spending containment, reduction of hospital beds, and privatization of services. Conclusion: Austerity policies have contributed to increasing inequalities in the use of health services during the economic downturn. In the current economic climate, new management and health planning strategies such as hospitalisation at home, new models of integrated care and pharmaceutical management are needed to help achieve greater equity and equality in health.