Capacity building in migration and health in higher education: lessons from five European countries.

Capacity building in migration and health in higher education is key to better, sustainable, and equitable health care provision. However, developments so far have been patchy, non-structural, and often unsustainable. While training programs have been evaluated and competency standards developed, perspectives from individual teachers are hardly accessible. We present expert perspectives from five European countries to illustrate good examples in higher education and identify gaps to further the advancement of capacity building in migration and health. Based on these perspectives, we have identified thematic areas at four levels: conceptual evolution, policy and implementation, organization at the academic level and teaching materials and pedagogies. Finally, we propose creating spaces to share concrete educational practices and experiences for adaptation and replication. We summarize key recommendations for the advancement of capacity building in migration and health.

Los determinantes sociales de la salud y su influencia en la prevalencia y pronóstico de la EPOC: una revisión exploratoria / Social determinants of health that impact COPD prevalence and prognosis: a scoping review

Objetivo: el objetivo de esta revisión es estudiar el efecto que los determinantes sociales de la salud tienen sobre la prevalencia y pronóstico de la enfermedad pulmonar obstructiva crónica (EPOC). Métodos: se ha hecho una revisión exploratoria (scoping review) de los artículos publicados entre 2013 y 2023, y una búsqueda bibliográfica en Pubmed. Se encontraron 31 artículos que cumplieran los criterios de inclusión. Resultados: niveles educativos precarios, así como bajos ingresos económicos se relacionan con un aumento en el riesgo de EPOC, con incrementos del 44,9% y el 22,9% de los casos respectivamente. La dedicación a ciertos oficios, como la agricultura o los servicios de restauración, también aumenta la prevalencia de esta enfermedad y su impacto sobre la mortalidad. La soltería o viudez, el desempleo y vivir en áreas rurales con alta contaminación atmosférica son factores que se asocian a más hospitalizaciones, síntomas graves, menor productividad y mayor mortalidad. Las desigualdades sociales afectan el acceso a la atención médica y la adherencia al tratamiento. La EPOC es más común en hombres y en personas mayores, aunque algunos estudios muestran mayor riesgo en mujeres debido a su dedicación a las tareas domésticas y su exposición a sustancias contaminantes. Conclusiones: determinantes sociales de la salud como el bajo nivel socioeconómico, la ocupación laboral, la contaminación doméstica o ambiental, el estado civil, lugar de residencia o dificultad de acceso al sistema sanitario actúan como factores de riesgo de la EPOC e influyen desfavorablemente sobre ella.(AU)

Aim: the objective of this review is to study the impact of social determinants of health on the prevalence and prognosis of COPD.Methods: an exploratory scoping review of papers published between 2013 and 2023 was performed. A bibliographic search was conducted on pubmed, yielding 31 papers that met the inclusion criteria.Results: low educational levels and low incomes are linked to an increased risk of COPD with increments of 44.9% and 22.9% of cases respectively. Involvement in certain occupations such as agriculture or food services also increases the prevalence of the disease and its impact on mortality. Being single or widowhood, unemployment, and living in rural areas with high air pollution are associated with more hospitalizations, severe symptoms, reduced productivity and higher mortality. Social inequalities impact access to medical care and treatment adherence. COPD is more common in men and the elderly, although some studies reveal a higher risk in women due to household chores and exposure to pollutants.Conclusions: social determinants of health such as low socio-economic status, occupational status, household or environmental pollution, marital status, place of residence or difficulty accessing the healthcare system act as risk factors for COPD and have an unfavourable impact on this.(AU)

Mental health and risk of death and hospitalization in COVID-19 patients. Results from a large-scale population-based study in Spain.

The COVID-19 pandemic has created unprecedented challenges for health care systems globally. This study aimed to explore the presence of mental illness in a Spanish cohort of COVID-19-infected population and to evaluate the association between the presence of specific mental health conditions and the risk of death and hospitalization. This is a retrospective cohort study including all individuals with confirmed infection by SARS-CoV-2 from the PRECOVID (Prediction in COVID-19) Study (Aragon, Spain). Mental health illness was defined as the presence of schizophrenia and other psychotic disorders, anxiety, cognitive disorders, depression and mood disorders, substance abuse, and personality and eating disorders. Multivariable logistic regression models were used to examine the likelihood of 30-day all-cause mortality and COVID-19 related hospitalization based on baseline demographic and clinical variables, including the presence of specific mental conditions, by gender. We included 144,957 individuals with confirmed COVID-19 from the PRECOVID Study (Aragon, Spain). The most frequent diagnosis in this cohort was anxiety. However, some differences were observed by sex: substance abuse, personality disorders and schizophrenia were more frequently diagnosed in men, while eating disorders, depression and mood, anxiety and cognitive disorders were more common among women. The presence of mental illness, specifically schizophrenia spectrum and cognitive disorders in men, and depression and mood disorders, substance abuse, anxiety and cognitive and personality disorders in women, increased the risk of mortality or hospitalization after COVID-19, in addition to other well-known risk factors such as age, morbidity and treatment burden. Identifying vulnerable patient profiles at risk of serious outcomes after COVID-19 based on their mental health status will be crucial to improve their access to the healthcare system and the establishment of public health prevention measures for future outbreaks.

Multimorbidity, social determinants and intersectionality in chronic patients. Results from the EpiChron Cohort.

Background: Multimorbidity is influenced in an interconnected way, both in extent and nature, by the social determinants of health. We aimed at implementing an intersectional approach to analyse the association of multimorbidity with five important axes of social inequality (i.e. gender, age, ethnicity, residence area and socioeconomic class). Methods: We conducted a cross-sectional observational study of all individuals who presented with at least one chronic disease in 2019 (n = 1 086 948) from the EpiChron Cohort (Aragon, Spain). Applying intersectional analysis, the age-adjusted likelihood of multimorbidity was investigated across 36 intersectional strata defined by gender, ethnicity, residence area and socioeconomic class. We calculated odds ratios (OR) 95% confidence interval (CI) using high-income urban non-migrant men as the reference category. The area under the receiver operator characteristics curve (AUC) was calculated to evaluate the discriminatory accuracy of multimorbidity. Results: The prevalence of multimorbidity increased with age, female gender and low income. Young and middle-aged low-income individuals showed rates of multimorbidity equivalent to those of high-income people aged about 20 years older. The intersectional analysis showed that low-income migrant women living in urban areas for >15 years were particularly disadvantaged in terms of multimorbidity risk OR = 3.16 (95% CI = 2.79-3.57). Being a migrant was a protective factor for multimorbidity, and newly arrived migrants had lower multimorbidity rates than those with >15 years of stay in Aragon, and even non-migrants. Living in rural vs. urban areas was slightly protective against multimorbidity. All models had a large discriminatory accuracy (AUC = 0.7884-0.7895); the largest AUC was obtained for the model including all intersectional strata. Conclusions: Our intersectional approach uncovered the large differences in the prevalence of multimorbidity that arise due to the synergies between the different socioeconomic and demographic exposures, beyond their expected additive effects.

Effectiveness of the MULTIPAP Plus intervention in youngest-old patients with multimorbidity and polypharmacy aimed at improving prescribing practices in primary care: study protocol of a cluster randomized trial.

BACKGROUND: The progressive ageing of the population is leading to an increase in multimorbidity and polypharmacy, which in turn may increase the risk of hospitalization and mortality. The enhancement of care with information and communications technology (ICT) can facilitate the use of prescription evaluation tools and support system for decision-making (DSS) with the potential of optimizing the healthcare delivery process. OBJECTIVE: To assess the effectiveness and cost-effectiveness of the complex intervention MULTIPAP Plus, compared to usual care, in improving prescriptions for young-old patients (65-74 years old) with multimorbidity and polypharmacy in primary care. METHODS/DESIGN: This is a pragmatic cluster-randomized clinical trial with a follow-up of 18 months in health centres of the Spanish National Health System. Unit of randomization: family physician. Unit of analysis: patient. POPULATION: Patients aged 65-74 years with multimorbidity (≥ 3 chronic diseases) and polypharmacy (≥ 5 drugs) during the previous 3 months were included. SAMPLE SIZE: n = 1148 patients (574 per study arm). INTERVENTION: Complex intervention based on the ARIADNE principles with three components: (1) family physician (FP) training, (2) FP-patient interview, and (3) decision-making support system. OUTCOMES: The primary outcome is a composite endpoint of hospital admission or death during the observation period measured as a binary outcome, and the secondary outcomes are number of hospital admission, all-cause mortality, use of health services, quality of life (EQ-5D-5L), functionality (WHODAS), falls, hip fractures, prescriptions and adherence to treatment. Clinical and sociodemographic factors will be explanatory variables. STATISTICAL ANALYSIS: The main result is the difference in percentages in the final composite endpoint variable at 18 months, with its corresponding 95% CI. Adjustments by the main confounding and prognostic factors will be performed through a multilevel analysis. All analyses will be carried out in accordance to the intention-to-treat principle. DISCUSSION: It is important to prevent the cascade of negative health and health care impacts attributable to the multimorbidity-polypharmacy binomial. ICT-enhanced routine clinical practice could improve the prescription process in patient care. TRIAL REGISTRATION: ClinicalTrials.gov NCT04147130 . Registered on 22 October 2019.

How to Improve Healthcare for Patients with Multimorbidity and Polypharmacy in Primary Care: A Pragmatic Cluster-Randomized Clinical Trial of the MULTIPAP Intervention.

(1) Purpose: To investigate a complex MULTIPAP intervention that implements the Ariadne principles in a primary care population of young-elderly patients with multimorbidity and polypharmacy and to evaluate its effectiveness for improving the appropriateness of prescriptions. (2) Methods: A pragmatic cluster-randomized clinical trial was conducted involving 38 family practices in Spain. Patients aged 65-74 years with multimorbidity and polypharmacy were recruited. Family physicians (FPs) were randomly allocated to continue usual care or to provide the MULTIPAP intervention based on the Ariadne principles with two components: FP training (eMULTIPAP) and FP patient interviews. The primary outcome was the appropriateness of prescribing, measured as the between-group difference in the mean Medication Appropriateness Index (MAI) score change from the baseline to the 6-month follow-up. The secondary outcomes were quality of life (EQ-5D-5 L), patient perceptions of shared decision making (collaboRATE), use of health services, treatment adherence, and incidence of drug adverse events (all at 1 year), using multi-level regression models, with FP as a random effect. (3) Results: We recruited 117 FPs and 593 of their patients. In the intention-to-treat analysis, the between-group difference for the mean MAI score change after a 6-month follow-up was -2.42 (95% CI from -4.27 to -0.59) and, between baseline and a 12-month follow-up was -3.40 (95% CI from -5.45 to -1.34). There were no significant differences in any other secondary outcomes. (4) Conclusions: The MULTIPAP intervention improved medication appropriateness sustainably over the follow-up time. The small magnitude of the effect, however, advises caution in the interpretation of the results given the paucity of evidence for the clinical benefit of the observed change in the MAI. Trial registration: Clinicaltrials.gov NCT02866799.

Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study.

A major risk factor of COVID-19 severity is the patient's health status at the time of the infection. Numerous studies focused on specific chronic diseases and identified conditions, mainly cardiovascular ones, associated with poor prognosis. However, chronic diseases tend to cluster into patterns, each with its particular repercussions on the clinical outcome of infected patients. Network analysis in our population revealed that not all cardiovascular patterns have the same risk of COVID-19 hospitalization or mortality and that this risk depends on the pattern of multimorbidity, besides age and sex. We evidenced that negative outcomes were strongly related to patterns in which diabetes and obesity stood out in older women and men, respectively. In younger adults, anxiety was another disease that increased the risk of severity, most notably when combined with menstrual disorders in women or atopic dermatitis in men. These results have relevant implications for organizational, preventive, and clinical actions to help meet the needs of COVID-19 patients.

Los determinantes sociales de la salud y su influencia en la incidencia de la COVID-19. Una revisión narrativa / Social determinants of health and their influence on the incidence of COVID-19. A narrative review

Objetivo: el objetivo de esta revisión es analizar y conocer si los determinantes sociales influyen en la incidencia de la COVID-19. Métodos: se llevó a cabo una revisión sistemática exploratoria para obtener una visión general de la evidencia disponible hasta la fecha. La búsqueda bibliográfica se hizo en la base de datos PubMed y se seleccionaron 15 estudios (14 de tipo ecológico y 1 de tipo transversal) procedentes de 6 países diferentes, que cumplían los criterios de inclusión por su relevancia. Resultados: se observó asociación entre varios determinantes sociales (medidos de forma aislada o a través de índices de vulnerabilidad) y la incidencia de la COVID-19 en diferentes territorios. Un bajo nivel de ingresos, el hacinamiento, las malas condiciones de vivienda, la pobreza material y pertenecer a determinadas etnias se asociaron a una incidencia mayor. Dos estudios mostraron una incidencia superior en mujeres, dada su presencia como trabajadoras en el sistema sanitario y en el ámbito de cuidados familiares. En cuanto al empleo y el nivel educativo, la asociación resultó ser menos robusta. Conclusiones: los determinantes sociales de la salud como la raza/etnia, la renta, el género, las condiciones de vivienda o el nivel socioeconómico influyen en la distribución de la COVID-19, de forma que aumenta la incidencia en aquellos territorios vulnerables para dichos factores.(AU)

Aim: The aim of this review is to analyze whether the social determinants of health influence the incidence of COVID. Methods: An exploratory systematic review was performed to obtain a general vision of the available evidence. A bibliographic search was conducted on the PubMed database and 15 studies- 14 ecological studies and one cross-sectional study- from six different countries were included, given that they met the inclusion criteria. Results: An association between several social determinants of health- measured individually or by means of vulnerability indexes- and COVID-19 incidence was found in different areas. Low-income, overcrowding, poor housing conditions, poverty and belonging to certain races were associated with a higher incidence. Two studies detected higher incidence amongst women, given their presence as healthcare workers and caregivers at a family level. In terms of employment and educational level, their association with COVID-19 incidence was less robust. Conclusions: Social determinants of health such as race/ethnicity, rent, sex, housing conditions and socio-economic level influence the distribution of COVID-19. Vulnerable areas for these factors show higher incidence levels.(AU)

Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study.

BACKGROUND: Clinical outcomes among COVID-19 patients vary greatly with age and underlying comorbidities. We aimed to determine the demographic and clinical factors, particularly baseline chronic conditions, associated with an increased risk of severity in COVID-19 patients from a population-based perspective and using data from electronic health records (EHR). METHODS: Retrospective, observational study in an open cohort analyzing all 68,913 individuals (mean age 44.4 years, 53.2% women) with SARS-CoV-2 infection between 15 June and 19 December 2020 using exhaustive electronic health registries. Patients were followed for 30 days from inclusion or until the date of death within that period. We performed multivariate logistic regression to analyze the association between each chronic disease and severe infection, based on hospitalization and all-cause mortality. RESULTS: 5885 (8.5%) individuals showed severe infection and old age was the most influencing factor. Congestive heart failure (odds ratio -OR- men: 1.28, OR women: 1.39), diabetes (1.37, 1.24), chronic renal failure (1.31, 1.22) and obesity (1.21, 1.26) increased the likelihood of severe infection in both sexes. Chronic skin ulcers (1.32), acute cerebrovascular disease (1.34), chronic obstructive pulmonary disease (1.21), urinary incontinence (1.17) and neoplasms (1.26) in men, and infertility (1.87), obstructive sleep apnea (1.43), hepatic steatosis (1.43), rheumatoid arthritis (1.39) and menstrual disorders (1.18) in women were also associated with more severe outcomes. CONCLUSIONS: Age and specific cardiovascular and metabolic diseases increased the risk of severe SARS-CoV-2 infections in men and women, whereas the effects of certain comorbidities are sex specific. Future studies in different settings are encouraged to analyze which profiles of chronic patients are at higher risk of poor prognosis and should therefore be the targets of prevention and shielding strategies.

Multimorbidity clusters in patients with chronic obstructive airway diseases in the EpiChron Cohort.

Chronic obstructive airway diseases such as chronic obstructive pulmonary disease (COPD), asthma, rhinitis, and obstructive sleep apnea (OSA) are amongst the most common treatable and preventable chronic conditions with high morbidity burden and mortality risk. We aimed to explore the existence of multimorbidity clusters in patients with such diseases and to estimate their prevalence and impact on mortality. We conducted an observational retrospective study in the EpiChron Cohort (Aragon, Spain), selecting all patients with a diagnosis of allergic rhinitis, asthma, COPD, and/or OSA. The study population was stratified by age (i.e., 15-44, 45-64, and ≥ 65 years) and gender. We performed cluster analysis, including all chronic conditions recorded in primary care electronic health records and hospital discharge reports. More than 75% of the patients had multimorbidity (co-existence of two or more chronic conditions). We identified associations of dermatologic diseases with musculoskeletal disorders and anxiety, cardiometabolic diseases with mental health problems, and substance use disorders with neurologic diseases and neoplasms, amongst others. The number and complexity of the multimorbidity clusters increased with age in both genders. The cluster with the highest likelihood of mortality was identified in men aged 45 to 64 years and included associations between substance use disorder, neurologic conditions, and cancer. Large-scale epidemiological studies like ours could be useful when planning healthcare interventions targeting patients with chronic obstructive airway diseases and multimorbidity.

Overuse or underuse? Use of healthcare services among irregular migrants in a north-eastern Spanish region.

BACKGROUND: There is little verified information on global healthcare utilization by irregular migrants. Understanding how immigrants use healthcare services based on their needs is crucial to establish effective health policy. We compared healthcare utilization between irregular migrants, documented migrants, and Spanish nationals in a Spanish autonomous community. METHODS: This retrospective, observational study included the total adult population of Aragon, Spain: 930,131 Spanish nationals; 123,432 documented migrants; and 17,152 irregular migrants. Healthcare utilization data were compared between irregular migrants, documented migrants and Spanish nationals for the year 2011. Multivariable standard or zero-inflated negative binomial regression models were generated, adjusting for age, sex, length of stay, and morbidity burden. RESULTS: The average annual use of healthcare services was lower for irregular migrants than for documented migrants and Spanish nationals at all levels of care analyzed: primary care (0.5 vs 4 vs 6.7 visits); specialized care (0.2 vs 1.8 vs 2.9 visits); planned hospital admissions (0.3 vs 2 vs 4.23 per 100 individuals), unplanned hospital admissions (0.5 vs 3.5 vs 5.2 per 100 individuals), and emergency room visits (0.4 vs 2.8 vs 2.8 per 10 individuals). The average annual prescription drug expenditure was also lower for irregular migrants (€9) than for documented migrants (€77) and Spanish nationals (€367). These differences were only partially attenuated after adjusting for age, sex, and morbidity burden. CONCLUSIONS: Under conditions of equal access, healthcare utilization is much lower among irregular migrants than Spanish nationals (and lower than that of documented migrants), regardless of country of origin or length of stay in Spain.

Association between mental health comorbidity and health outcomes in type 2 diabetes mellitus patients.

Type 2 diabetes mellitus (T2D) is often accompanied by chronic diseases, including mental health problems. We aimed at studying mental health comorbidity prevalence in T2D patients and its association with T2D outcomes through a retrospective, observational study of individuals of the EpiChron Cohort (Aragón, Spain) with prevalent T2D in 2011 (n = 63,365). Participants were categorized as having or not mental health comorbidity (i.e., depression, anxiety, schizophrenia, and/or substance use disorder). We performed logistic regression models, controlled for age, sex and comorbidities, to analyse the likelihood of 4-year mortality, 1-year all-cause hospitalization, T2D-hospitalization, and emergency room visit. Mental health comorbidity was observed in 19% of patients. Depression was the most frequent condition, especially in women (20.7% vs. 7.57%). Mortality risk was higher in patients with mental health comorbidity (odds ratio 1.24; 95% confidence interval 1.16-1.31), especially in those with substance use disorder (2.18; 1.84-2.57) and schizophrenia (1.82; 1.50-2.21). Mental health comorbidity also increased the likelihood of all-cause hospitalization (1.16; 1.10-1.23), T2D-hospitalization (1.51; 1.18-1.93) and emergency room visit (1.26; 1.21-1.32). These results suggest that T2D healthcare management should include specific strategies for the early detection and treatment of mental health problems to reduce its impact on health outcomes.

Training primary care professionals in multimorbidity management: Educational assessment of the eMULTIPAP course.

Multimorbidity (MM) is a widespread problem and it poses unsolved issues like the healthcare professionals' training. A training curriculum has been proposed, but it has not been sufficiently explored in a clinical context. The eMULTIPAP course is part of the MULTIPAP complex intervention, applied through a pragmatic controlled, cluster randomized clinical trial to general practitioners (GP) and his/her patients with MM with 12 months follow-up. The eMULTIPAP course is based on problem-based learning, constructivism and Ariadne principles. It has been assessed according to the Kirkpatrick model and has shown knowledge improvement and high applicability of learning with more motivation to consider MM in the clinical practice. It has also improved the Medication Appropriateness Index at 6-months and at 12- months. We conclude that the eMULTIPAP course generates significant changes in GP's learning, enhancing clinical practice in multimorbidity scenarios.

Multimorbidity and chronic diseases among undocumented migrants: evidence to contradict the myths.

BACKGROUND: There is little verified information on the global health status of undocumented migrants (UMs). Our aim is to compare the prevalence of the main chronic diseases and of multimorbidity in undocumented migrants, documented migrants, and Spanish nationals in a Spanish autonomous community. METHODS: Retrospective observational study of all users of the public health system of the region of Aragon over 1 year (2011): 930,131 Spanish nationals; 123,432 documented migrants (DMs); and 17,152 UMs. Binary logistic regression was performed to examine the association between migrant status (Spanish nationals versus DMs and UMs) and both multimorbidity and individual chronic diseases, adjusting for age and sex. RESULTS: The prevalence of individual chronic diseases in UMs was lower than in DMs and much lower than in Spanish nationals. Comparison with the corresponding group of Spanish nationals revealed odds ratios (OR) of 0.1-0.3 and 0.3-0.5 for male and female UMs, respectively (p < 0.05 in all cases). The risk of multimorbidity was lower for UMs than DMs, both for men (OR, 0.12; 95%CI 0.11-0.13 versus OR, 0.53; 95%CI 0.51-0.54) and women (OR, 0.18; 95%CI 0.16-0.20 versus OR, 0.74; 95%CI 0.72-0.75). CONCLUSIONS: Analysis of data from a health system that offers universal coverage to all immigrants, irrespective of legal status, reveals that the prevalence of chronic disease and multimorbidity is lower in UMs as compared with both DMs and Spanish nationals. These findings refute previous claims that the morbidity burden in UM populations is higher than that of the native population of the host country.

Baseline Chronic Comorbidity and Mortality in Laboratory-Confirmed COVID-19 Cases: Results from the PRECOVID Study in Spain.

We aimed to analyze baseline socio-demographic and clinical factors associated with an increased likelihood of mortality in men and women with coronavirus disease (COVID-19). We conducted a retrospective cohort study (PRECOVID Study) on all 4412 individuals with laboratory-confirmed COVID-19 in Aragon, Spain, and followed them for at least 30 days from cohort entry. We described the socio-demographic and clinical characteristics of all patients of the cohort. Age-adjusted logistic regressions models were performed to analyze the likelihood of mortality based on demographic and clinical variables. All analyses were stratified by sex. Old age, specific diseases such as diabetes, acute myocardial infarction, or congestive heart failure, and dispensation of drugs like vasodilators, antipsychotics, and potassium-sparing agents were associated with an increased likelihood of mortality. Our findings suggest that specific comorbidities, mainly of cardiovascular nature, and medications at the time of infection could explain around one quarter of the mortality in COVID-19 disease, and that women and men probably share similar but not identical risk factors. Nonetheless, the great part of mortality seems to be explained by other patient- and/or health-system-related factors. More research is needed in this field to provide the necessary evidence for the development of early identification strategies for patients at higher risk of adverse outcomes.

Social support, social context and nonadherence to treatment in young senior patients with multimorbidity and polypharmacy followed-up in primary care. MULTIPAP Study.

OBJECTIVE: To estimate the prevalence of nonadherence to treatment and its relationship with social support and social context in patients with multimorbidity and polypharmacy followed-up in primary care. METHODS: This was an observational, descriptive, cross-sectional, multicenter study with an analytical approach. A total of 593 patients between 65-74 years of age with multimorbidity (≥3 diseases) and polypharmacy (≥5 drugs) during the last three months and agreed to participate in the MULTIPAP Study. The main variable was adherence (Morisky-Green). The predictors were social support (structural support and functional support (DUFSS)); sociodemographic variables; indicators of urban objective vulnerability; health-related quality of life (EQ-5D-5L-VAS & QALY); and clinical variables. Descriptive, bivariate and multivariate analyses with logistic regression models and robust estimators were performed. RESULTS: Four out of ten patients were nonadherent, 47% had not completed primary education, 28.7% had an income ≤1050 €/month, 35% reported four or more IUVs, and the average perceived health-related quality of life (HRQOL) EQ-5D-5L-VAS was 65.5. The items that measure functional support, with significantly different means between nonadherent and adherent patients were receiving love and affection (-0.23; 95%CI: -0.40;-0.06), help when ill (-0.25; 95%CI: -0.42;-0.08), useful advice (-0.20; 95%CI: -0.37;-0.02), social invitations (-0.22; 95%CI:-0.44;-0.01), and recognition (-0.29; 95%CI:-0.50;-0.08). Factors associated with nonadherence were belonging to the medium vs. low tertile of functional support (0.62; 95%CI: 0.42;0.94), reporting less than four IUVs (0.69; 95%CI: 0.46;1.02) and higher HRQOL perception (0.98; 95%CI: 0.98;0.99). CONCLUSIONS: Among patients 65-74 years of age with multimorbidity and polypharmacy, lower functional support was related to nonadherence to treatment. The nonadherence decreased in those patients with higher functional support, lower urban vulnerability and higher perceived health status according to the visual analog scale of health-related quality of life.

Multimorbidity Patterns in the General Population: Results from the EpiChron Cohort Study.

The correct management of patients with multimorbidity remains one of the main challenges for healthcare systems worldwide. In this study, we analyze the existence of multimorbidity patterns in the general population based on gender and age. We conducted a cross-sectional study of individuals of all ages from the EpiChron Cohort, Spain (1,253,292 subjects), and analyzed the presence of systematic associations among chronic disease diagnoses using exploratory factor analysis. We identified and clinically described a total of 14 different multimorbidity patterns (12 in women and 12 in men), with some relevant differences in the functions of age and gender. The number and complexity of the patterns was shown to increase with age in both genders. We identified associations of circulatory diseases with respiratory disorders, chronic musculoskeletal diseases with depression and anxiety, and a very consistent pattern of conditions whose co-occurrence is known as metabolic syndrome (hypertension, diabetes, obesity, and dyslipidaemia), among others. Our results demonstrate the potential of using real-world data to conduct large-scale epidemiological studies to assess the complex interactions among chronic conditions. This could be useful in designing clinical interventions for patients with multimorbidity, as well as recommendations for healthcare professionals on how to handle these types of patients in clinical practice.

Screening for Trypanosoma cruzi infection in immigrants and refugees: Systematic review and recommendations from the Spanish Society of Infectious Diseases and Clinical Microbiology.

BackgroundChagas disease has spread beyond its original borders on the American continent with migration. It can be transmitted from mother to child, through organ transplantation and transfusion of blood and blood products. It is necessary to determine when to screen for this infection.AimOur objective was to evaluate the appropriateness of screening for Trypanosoma cruzi infection in Latin American migrants and their descendants.MethodsWe reviewed the literature using rigorous criteria. The quality of evidence was ranked according to the GRADE classification. An evidence to decision framework was adopted to provide information on the most relevant aspects necessary to formulate recommendations.ResultsThe 33 studies evaluated revealed a prevalence of T. cruzi infection among Latin American migrants in Europe of 6.08% (95% confidence interval (CI): 3.24-9.69; 28 studies). Vertical transmission occurred in three of 100 live births (95% CI: 1-6; 13 studies). The prevalence of cardiovascular disease was 19% (95% CI: 13-27; nine studies), including only 1% severe cardiac events (95% CI: 0-2; 11 studies). The overall quality of evidence was low because of risk of bias in the studies and considerable heterogeneity of the evaluated populations. The recommendations took into account economic studies on the value of screening strategies and studies on acceptability of screening and knowledge of the disease in the affected population.ConclusionsWe identified five situations in which screening for T. cruzi infection is indicated. We recommend screening persons from endemic areas and children of mothers from these areas.