A Brief Psychoeducation Intervention to Prevent Rehospitalization in Severe Mental Disorder Inpatients.

ABSTRACT: The efficacy of medium- to long-term psychoeducation in preventing relapse and hospitalization in people with severe mental disorders (SMDs) is robust. However, the evidence is inconclusive in brief interventions and individual modalities. The aim of this randomized clinical trial in SMD inpatients is to analyze the efficacy of a brief psychoeducation intervention added to treatment-as-usual, in improving the rehospitalization rate at 3 and 6 months after discharge. Fifty-one SMD inpatients were randomized to the intervention ( n = 24) or control group ( n = 27). Low insight and poor medication adherence were the most prevalent risk factors at admission. No significant differences were observed in the rehospitalization rate at 3 and 6 months after discharge. On the overall sample, the number of previous hospitalizations was a rehospitalization predictor at 3 (odds ratio [OR], 1.25; 95% confidence interval [CI], 1.01-1.56; p = 0.04) and 6 months (OR, 1.85; 95% CI, 1.17-2.91; p = 0.009). SMD people require multimodal and persistent approaches focused on insight and medication adherence to prevent rehospitalizations.

Medication-related problems in older people in Catalonia: A real-world data study.

PURPOSE: The aim of this study was to determine medication-related problems (MRPs) in primary care patients over 65 years of age. METHODS: Cross-sectional study based on the electronic health records of patients (65-99 years of age) visited in 284 primary health care centers during 2012 in Catalonia. VARIABLES: age, sex, sociodemographic variables, number of drugs, kidney and liver function and MRPs (duplicate therapy, drug-drug interactions, potentially inappropriate medications [PIMs] and drugs contraindicated in chronic kidney disease and in liver diseases). Unconditional logistic regression models were used to identify the factors associated with MRPs in patients with multimorbidity. RESULTS: 916 619 older people were included and 853 085 of them met the criteria for multimorbidity. Median age was 75 years and 57.7% of them were women. High percentages of MRPs were observed: PIMs (62.8%), contraindicated drugs in chronic kidney disease (12.1%), duplicate therapy (11.1%), contraindicated drugs in liver diseases (4.2%), and drug-drug interactions (1.0%). These numbers were higher in the subgroup of patients with ≥10 diseases. The most common PIMs were connected to drugs that increase the risk of fall (66.8%), antiulcer agents without criteria for gastroprotection (40.6%), and the combination of drugs with anticholinergic effects (39.7%). In the multivariate analysis, the variables associated with all MRPs among the patients with multimorbidity were the number of drugs and the number of visits. CONCLUSIONS: The coexistence of multimorbidity and polypharmacy is associated with an elevated risk of MRPs in older people. Medication safety for older patients constitutes a pressing concern for health services.

Childhhood Trauma in Schizophrenia Spectrum Disorders: Dissociative, Psychotic Symptoms, and Suicide Behavior.

Current evidence suggests a high prevalence of childhood trauma (CT) among adult patients diagnosed with schizophrenia spectrum disorders. Exposure to CT might lead to clinical differences eventually observed in these patients. We present a cross-sectional study with 54 patients with schizophrenia spectrum disorder (schizophrenia and schizoaffective disorder). We obtained sociodemographic data, as well as data on CT, dissociation, suicide history, and intensity of positive and negative psychotic symptoms. More than 75% of the patients reported a history of CT. We observed a link between CT and suicidal behavior. Patients showed high rates of dissociation. Dissociative experiences were related to CT, both in terms of intensity of trauma and number of traumas experienced. All CT forms except emotional neglect showed direct correlations with dissociative experiences. We found no correlation between intensity of CT and intensity of positive psychotic symptoms, yet we observed a moderate inverse correlation with negative psychotic symptoms.

Multimorbidity patterns, polypharmacy and their association with liver and kidney abnormalities in people over 65 years of age: a longitudinal study.

BACKGROUND: The implementation of individual clinical practice guidelines in patients with multimorbidity often results in polypharmacy. Our aim was to analyse medication use according to longitudinal multimorbidity patterns (MP) and determine during a 5-year period (2012-16) which MP are associated with abnormal liver and kidney function in primary care patients over 65 years of age living in Catalonia. METHODS: Design: Longitudinal study (years 2012 to 2016) based on the electronic health records contained in Information System for Research in Primary Care database of the Catalan Institute of Health (SIDIAP). VARIABLES: age, sex, MP, medication and polypharmacy (drug exposure obtained from the Pharmacy Invoice Registry). Medicines were classified in accordance with the Anatomical Therapeutic Chemical Classification System (ATC). Glomerular filtration rate was used to determine abnormal kidney function, and serum levels of alkaline phosphatase, alanine transaminase and gamma-glutamyl transpeptidase were used to diagnose abnormal liver function. STATISTICS: For medication use in MP, we calculated annual mean packages of each drug in each MP, and observed/expected ratios were obtained by dividing mean packages in the cluster by mean packages of the same drug in the overall population. Logistic regression models were fitted to estimate the association between MP at baseline and abnormal kidney and liver function tests during follow up. RESULTS: Nine hundred sixteen thousand six hundred nineteen patients were included, and 743,827 completed the follow up. We identified one polypharmacy profile per MP, and concluded that the most prescribed drugs in each pattern corresponded to the diseases overrepresented in that specific MP. The median of drugs ranged from 3 (Cluster 1 - Non-Specific) to 8 (Cluster 10 - Multisystem Pattern). Abnormal kidney function was most commonly observed in the Cluster 4 - Cardio-Circulatory and Renal (Odds Ratio [OR] 2.19; Confidence interval [CI] 95% 2.15-2.23) and Cluster 3 - Minority Metabolic Autoimmune-Inflammatory (OR 2.16; CI 95% 2.12-2.20) MP. A higher risk of abnormal liver function was observed in the Cluster 8 - Digestive (OR 3.39; CI 95% 3.30-3.49), and Cluster 4 - Cardio-Circulatory and Renal (OR 1.96; CI 95% 1.91-2.02) MP. CONCLUSIONS: A higher risk of abnormal kidney and liver function was observed in specific MP. The long-term characterisation of MP and polypharmacy illustrates the burden of chronic multimorbidity and polypharmacy in the elderly population.

Association between cognitive impairment and cardiovascular burden in patients with severe mental disorder.

Introduction: Cognitive impairment is related to an increase in cardiovascular risk (CVR) in the general population. However, in severe mental disorder (SMD), the evidence is less consistent. Few studies have evaluated the relationship between cognition and vascular burden in SMD. This study determines the relationship between cognition and vascular burden in patients with SMD.Methods: Sixty SMD patients (61% men, mean age: 46) attending a psychosocial rehabilitation centre were included. We evaluated sociodemographic, clinical, laboratory, quality of life and functionality characteristics. And we analysed the association between cognitive performance and vascular burden.Results: SMD diagnoses were: 41.7% schizophrenia, 20.0% bipolar, 5.0% schizoaffective, 21.7% depressive and 11.7% other. Cognitive impairment was present in 55% of the cases. The average vascular burden was 3.2. Patients with cognitive impairment have a significantly higher vascular burden than patients without cognitive impairment (p < 0.05). The speed of processing had a moderate correlation with vascular burden (r = -0.457, p = 0.001).Conclusions: Patients with cognitive impairment had a significantly higher vascular burden than patients without cognitive impairment. There are two practical clinical implications: CVR should be evaluated in all SMD patients; and psychoeducation programmes for CVR should be performed and adapted to the cognitive deficits.

Effectiveness of a psychoeducation group intervention conducted by primary healthcare nurses in patients with depression and physical comorbidity: study protocol for a randomized, controlled trial.

BACKGROUND: Depressive disorders are the third leading cause of consultation in primary care, mainly in patients with chronic physical illnesses. Studies have shown the effectiveness of group psychoeducation in reducing symptoms in depressive individuals. Our primary aim is to evaluate the effectiveness of an intervention based on a psychoeducational program, carried out by primary care nurses, to improve the remission/response rate of depression in patients with chronic physical illness. Secondarily, to assess the cost-effectiveness of the intervention, its impact on improving control of the physical pathology and quality of life, and intervention feasibility. METHODS/DESIGN: A multicenter, randomized, clinical trial, with two groups and one-year follow-up evaluation. Economic evaluation study. SUBJECTS: We will assess 504 patients (252 in each group) aged > 50 years assigned to 25 primary healthcare centers (PHC) from Catalonia (urban, semi-urban, and rural). Participants suffer from major depression (Beck depression inventory: BDI-II 13-28) and at least one of the following: type 2 diabetes mellitus, chronic obstructive pulmonary disease, asthma, and/or ischemic cardiopathy. Patients with moderate/severe suicide risk or severe mental disorders are excluded. Participants will be distributed randomly into the intervention group (IG) and control (CG). INTERVENTION: The IG will participate in the psychoeducational intervention: 12 sessions of 90 min, once a week led by two Primary Care (PC) nurses. The sessions will consist of health education regarding chronic physical illness and depressive symptoms. MAIN MEASUREMENTS: Clinical remission of depression and/or response to intervention (BDI-II). SECONDARY MEASUREMENTS: Improvement in control of chronic diseases (blood test and physical parameters), drug compliance (Morinsky-Green test and number of containers returned), quality of life (EQ-5D), medical service utilization (appointments and hospital admissions due to complications), and feasibility of the intervention (satisfaction and compliance). Evaluations will be blinded, and conducted at baseline, post-intervention, and 12 months follow-up. DISCUSSION: Results could be informative for efforts to prevent depression in patients with a chronic physical illness. TRIAL REGISTRATION: NCT03243799 (registration date August 9, 2017).

Medication patterns in older adults with multimorbidity: a cluster analysis of primary care patients.

BACKGROUND: Older adults suffer from various chronic conditions which make them particularly vulnerable. The proper management of multiple drug use is therefore crucial. The aim of our study was to describe drug prescription and medication patterns in this population. METHODS: A cross-sectional study in Barcelona (Spain) using electronic health records from 50 primary healthcare centres. Participants were aged 65 to 94 years, presenting multimorbidity (≥2 chronic diseases), and had been prescribed at least 1 drug for 6 months or longer during 2009. We calculated the prevalence of prescribed drugs and identified medication patterns using multiple correspondence analysis and k-means clustering. Analyses were stratified by sex and age (65-79, 80-94 years). RESULTS: We studied 164,513 patients (66.8% women) prescribed a median of 4 drugs (interquartile range [IQR] = 3-7) in the 65-79 age-group and 6 drugs (IQR = 4-8) in the 80-94 age-group. A minimum of 45.9% of patients aged 65-79 years, and 61.8% of those aged 80-94 years, were prescribed 5 or more drugs. We identified 6 medication patterns, a non-specific one and 5 encompassing 8 anatomical groups (alimentary tract and metabolism, blood, cardiovascular, dermatological, musculo-skeletal, neurological, respiratory, and sensory organ). CONCLUSIONS: Drug prescription is widespread among the elderly. Six medication patterns were identified, 5 of which were related to one or more anatomical group, with associations among drugs from different systems. Overall, guidelines do not accurately reflect the situation of the elderly multimorbid, new strategies for managing multiple drug uses are needed to optimize prescribing in these patients.

Disparities in the management of cardiovascular risk factors in patients with psychiatric disorders: a systematic review and meta-analysis.

BACKGROUND: The high cardiovascular (CV) morbidity and mortality reported for patients with psychiatric disorders may possibly be due to a poorer management of CV risk factors (CVRFs). However, these healthcare disparities remain poorly understood. In this paper, studies comparing the management of smoking, diabetes, hypertension and dyslipidaemia, in patients with and without depression, anxiety, schizophrenia, bipolar or personality disorder, were reviewed. METHODS: Prospective studies comparing rates of screening, diagnosis, treatment and control of CVRFs were searched in PubMed, Embase, PsychInfo, Scopus and Web of Science (inception to January 2017). The Meta-analysis of Observational Studies in Epidemiology (MOOSE) criteria were used. Studies were assessed for quality. Wherever possible, meta-analyses were conducted to summarize the findings. RESULTS: Twenty studies, out of the 18 333 references initially identified, were included. Most studies were heterogeneous in design. Two areas permitted meta-analyses: the pooled odds ratio for quitting smoking for those with depression was 0.64 (0.49-0.80) p < 0.001; the pooled difference of glycated haemoglobin for patients with type 2 diabetes and depression was 0.18 (0.06-0.31) p = 0.005. Individual studies showed associations between: schizophrenia and lower probability of having smoking habit recorded; schizoid personality disorder and higher probability of remaining non-smokers after quitting; anxiety and poorer control of type I diabetes; depression, anxiety or schizophrenia and lower probability of having a diagnosis of hypertension; schizophrenia or bipolar disorder and lower use of antihypertensive and lipid-lowering drugs. CONCLUSIONS: A proactive clinical management, together with further studies, are needed to reduce the CV morbidity and mortality of patients with psychiatric disorders.

Multimorbidity patterns in the elderly: a prospective cohort study with cluster analysis.

BACKGROUND: Multimorbidity is the coexistence of more than two chronic diseases in the same individual; however, there is no consensus about the best definition. In addition, few studies have described the variability of multimorbidity patterns over time. The aim of this study was to identify multimorbidity patterns and their variability over a 6-year period in patients older than 65 years attended in primary health care. METHODS: A cohort study with yearly cross-sectional analysis of electronic health records from 50 primary health care centres in Barcelona. Selected patients had multimorbidity and were 65 years of age or older in 2009. Diagnoses (International Classification of Primary Care, second edition) were extracted using O'Halloran criteria for chronic diseases. Multimorbidity patterns were identified using two steps: 1) multiple correspondence analysis and 2) k-means clustering. Analysis was stratified by sex and age group (65-79 and ≥80 years) at the beginning of the study period. RESULTS: Analysis of 2009 electronic health records from 190,108 patients with multimorbidity (59.8% women) found a mean age of 71.8 for the 65-79 age group and 84.16 years for those over 80 (Standard Deviation [SD] 4.35 and 3.46, respectively); the median number of chronic diseases was seven (Interquartil range [IQR] 5-10). We obtained 6 clusters of multimorbidity patterns (1 nonspecific and 5 specifics) in each group, being the specific ones: Musculoskeletal, Endocrine-metabolic, Digestive/Digestive-respiratory, Neurological, and Cardiovascular patterns. A minimum of 42.5% of the sample remained in the same pattern at the end of the study, reflecting the stability of these patterns. CONCLUSIONS: This study identified six multimorbidity patterns per each group, one nonnspecific pattern and five of them with a specific pattern related to an organic system. The multimorbidity patterns obtained had similar characteristics throughout the study period. These data are useful to improve clinical management of each specific subgroup of patients showing a particular multimorbidity pattern.

Multimorbidity patterns with K-means nonhierarchical cluster analysis.

BACKGROUND: The purpose of this study was to ascertain multimorbidity patterns using a non-hierarchical cluster analysis in adult primary patients with multimorbidity attended in primary care centers in Catalonia. METHODS: Cross-sectional study using electronic health records from 523,656 patients, aged 45-64 years in 274 primary health care teams in 2010 in Catalonia, Spain. Data were provided by the Information System for the Development of Research in Primary Care (SIDIAP), a population database. Diagnoses were extracted using 241 blocks of diseases (International Classification of Diseases, version 10). Multimorbidity patterns were identified using two steps: 1) multiple correspondence analysis and 2) k-means clustering. Analysis was stratified by sex. RESULTS: The 408,994 patients who met multimorbidity criteria were included in the analysis (mean age, 54.2 years [Standard deviation, SD: 5.8], 53.3% women). Six multimorbidity patterns were obtained for each sex; the three most prevalent included 68% of the women and 66% of the men, respectively. The top cluster included coincident diseases in both men and women: Metabolic disorders, Hypertensive diseases, Mental and behavioural disorders due to psychoactive substance use, Other dorsopathies, and Other soft tissue disorders. CONCLUSION: Non-hierarchical cluster analysis identified multimorbidity patterns consistent with clinical practice, identifying phenotypic subgroups of patients.

Exploring dementia management attitudes in primary care: a key informant survey to primary care physicians in 25 European countries.

BACKGROUND: Strategies for the involvement of primary care in the management of patients with presumed or diagnosed dementia are heterogeneous across Europe. We wanted to explore attitudes of primary care physicians (PCPs) when managing dementia: (i) the most popular cognitive tests, (ii) who had the right to initiate or continue cholinesterase inhibitor or memantine treatment, and (iii) the relationship between the permissiveness of these rules/guidelines and PCP's approach in the dementia investigations and assessment. METHODS: Key informant survey. SETTING: Primary care practices across 25 European countries. SUBJECTS: Four hundred forty-five PCPs responded to a self-administered questionnaire. Two-step cluster analysis was performed using characteristics of the informants and the responses to the survey. MAIN OUTCOME MEASURES: Two by two contingency tables with odds ratios and 95% confidence intervals were used to assess the association between categorical variables. A multinomial logistic regression model was used to assess the association of multiple variables (age class, gender, and perceived prescription rules) with the PCPs' attitude of "trying to establish a diagnosis of dementia on their own." RESULTS: Discrepancies between rules/guidelines and attitudes to dementia management was found in many countries. There was a strong association between the authorization to prescribe dementia drugs and pursuing dementia diagnostic work-up (odds ratio, 3.45; 95% CI 2.28-5.23). CONCLUSIONS: Differing regulations about who does what in dementia management seemed to affect PCP's engagement in dementia investigations and assessment. PCPs who were allowed to prescribe dementia drugs also claimed higher engagement in dementia work-up than PCPs who were not allowed to prescribe.

Cardiovascular risk assessment in patients with a severe mental illness: a systematic review and meta-analysis.

BACKGROUND: Cardiovascular risk (CVR) has been observed to be higher in patients with severe mental illness (SMI) than in the general population. However, some studies suggest that CVR is not equally increased in different subgroups of SMI. The purposes of this review are to summarise CVR scores of SMI patients and to determine the differences in CVR between patients with different SMIs and between SMI patients and the control-population. METHODS: MEDLINE (via PubMed) was searched for literature published through August 28, 2014, followed by a snowball search in the Web of Science. Observational and experimental studies that reported CVR assessments in SMI patients using validated tools were included. The risk of bias was reported using STROBE and CONSORT criteria. Pooled continuous data were expressed as standardized mean differences (SMD) with 95% confidence intervals (CI). Two reviewers independently selected studies, extracted data and assessed methodological quality. RESULTS: A total of 3,608 articles were identified, of which 67 full text papers were assessed for eligibility and 35 were finally included in our review, in which 12,179 psychiatric patients and 225,951 comparative patients had been assessed. The most frequent diagnoses were schizophrenia and related diagnoses (45.7%), depressive disorders (14.7%), SMI (11.4%) and bipolar disorders (8.6%). The most frequent CVR assessment tool used was the Framingham risk score. Subgroups analysis showed a higher CVR in schizophrenia than in depressive disorder or in studies that included patients with multiple psychiatric diagnoses (SMD: 0.63, 0.03, and 0.02, respectively). Six studies were included in the meta-analysis. Total overall CVR did not differ between SMI patients and controls (SMD: 0.35 [95% CI:-0.02 to 0.71], p = 0.06); high heterogeneity was observed (I (2) = 93%; p < 0.001). CONCLUSIONS: The summary of results from studies that assessed CVR using validated tools in SMI patients did not find sufficient data (except for limited evidence associated with schizophrenia) to permit any clear conclusions about increased CVR in this group of patients compared to the general population. The systematic review is registered in PROSPERO: CRD42013003898 .

The burden of cardiovascular morbidity in a European Mediterranean population with multimorbidity: a cross-sectional study.

BACKGROUND: Cardiovascular diseases are highly represented in multimorbidity patterns. Nevertheless, few studies have analysed the burden of these diseases in the population with multimorbidity. The objective of this study was to identify and describe the cardiovascular diseases among the patients with multimorbidity. METHODS: We designed a cross-sectional study in patients ≥19 years old assigned to 251 primary health care centres in Catalonia, Spain. The main outcome was cardiovascular morbidity burden, defined as the presence of one or more of 24 chronic cardiovascular diseases in multimorbid patients (≥2 chronic conditions). Two groups were defined, with and without multimorbidity; the multimorbidity group was further divided into cardiovascular and non-cardiovascular subgroups. The secondary outcomes were: modifiable major cardiovascular risk factors (smoking, hypertension, hypercholesterolaemia, diabetes) and cardiovascular risk score (REGICOR, Registre Gironí del Cor). Other variables analysed were: sex, age (19-24, 25-44, 45-64, 65-79, and 80+ years), number of chronic diseases, urban setting, active toxic habits (smoking and alcohol), physical parameters and laboratory tests. RESULTS: A total of 1,749,710 individuals were included (mean age, 47.4 years [SD: 17.8]; 50.7 % women), of which nearly half (46.8 %) had multimorbidity (95 % CI: 46.9-47.1). In patients with multimorbidity,, the cardiovascular burden was 54.1 % of morbidity (95 % CI: 54.0-54.2) and the four most prevalent cardiovascular diseases were uncomplicated hypertension (75.3 %), varicose veins of leg (20.6 %), "other" heart disease (10.5 %) and atrial fibrillation/flutter (6.7 %). In the cardiovascular morbidity subgroup, 38.2 % had more than one cardiovascular disease. The most prevalent duet and triplet combinations were uncomplicated hypertension & lipid disorder (38.8 %) and uncomplicated hypertension & lipid disorder & non-insulin dependent diabetes (11.3 %), respectively. By age groups, the same duet was the most prevalent in patients aged 45-80 years and in men aged 25-44 years. In women aged 19-44, varicose veins of leg & anxiety disorder/anxiety was the most prevalent; in men aged 19-24, it was uncomplicated hypertension & obesity. Patients with multimorbidity showed a higher cardiovascular risk profile than the non-multimorbidity group. CONCLUSIONS: More than 50 % percent of patients with multimorbidity had cardiovascular diseases, the most frequent being hypertension. The presence of cardiovascular risk factors and the cardiovascular risk profile were higher in the multimorbidity group than the non-multimorbidity group. Hypertension, diabetes and dyslipidaemia constituted the most prevalent multimorbidity pattern.

[Multimorbidity patterns in young adults in Catalonia: an analysis of clusters]. / Patrones de multimorbilidad en adultos jóvenes en Cataluña: un análisis de clústeres.

OBJECTIVE: The aim of this study was to identify multimorbidity patterns in patients from 19 to 44 years attended in primary care in Catalonia in 2010. DESIGN: Cross-sectional study. SETTING: 251 primary care centres. PARTICIPANTS: 530,798 people with multimorbidity, aged 19 to 44 years. MAIN OUTCOME MEASURES: Multimorbidity was defined as the coexistence of ≥2 more International Classification system (ICD-10) registered in the electronic health record. Multimorbidity patterns were identified using hierarchical cluster analysis and by sex and age group (19-24 and 25-44). RESULTS: Of the 882,708 people from initial population, 530,798 (60.1%) accomplished multimorbidity criterion. Mean age was 33.0 years (SD: 7.0) and 53.3% were women. Multimorbidity was higher in the 25-to 44-years-old group with respect the younger group (60.5 vs. 58.1%, p<0.001), being higher in women. Most prevalent cluster in all groups included, among others, by dental caries, smoking, dorsalgia, common cold and other anxiety disorders. For both sexes in the 25-to 44-years-old group appeared the cardiovascular-endocrine-metabolic pattern (obesity, lipid disorders and arterial hypertension). CONCLUSIONS: Multimorbidity affects more than half of persons between 19 to 44-years-old. The most prevalent cluster is formed by grouping common diseases (dental caries, common cold, smoking, anxiety disorders and dorsalgias). Another pattern to highlight is the cardiovascular-endocrine-metabolic pattern in the 25- to 44 years-old group. Knowledge of patterns of multimorbidity in young adults could be used to design individualized preventive strategies.

Burden of multimorbidity, socioeconomic status and use of health services across stages of life in urban areas: a cross-sectional study.

BACKGROUND: The burden of chronic conditions and multimorbidity is a growing health problem in developed countries. The study aimed to determine the estimated prevalence and patterns of multimorbidity in urban areas of Catalonia, stratified by sex and adult age groups, and to assess whether socioeconomic status and use of primary health care services were associated with multimorbidity. METHODS: A cross-sectional study was conducted in Catalonia. Participants were adults (19+ years) living in urban areas, assigned to 251 primary care teams. MAIN OUTCOME: multimorbidity (≥2 chronic conditions). Other variables: sex (male/female), age (19-24; 25-44; 45-64; 65-79; 80+ years), socioeconomic status (quintiles), number of health care visits during the study. RESULTS: We included 1,356,761 patients; mean age, 47.4 years (SD: 17.8), 51.0% women. Multimorbidity was present in 47.6% (95% CI 47.5-47.7) of the sample, increasing with age in both sexes but significantly higher in women (53.3%) than in men (41.7%). Prevalence of multimorbidity in each quintile of the deprivation index was higher in women than in men (except oldest group). In women, multimorbidity prevalence increased with quintile of the deprivation index. Overall, the median (interquartile range) number of primary care visits was 8 (4-14) in multimorbidity vs 1 (0-4) in non-multimorbidity patients. The most prevalent multimorbidity pattern beyond 45 years of age was uncomplicated hypertension and lipid disorder. Compared with the least deprived group, women in other quintiles of the deprivation index were more likely to have multimorbidity than men until 65 years of age. The odds of multimorbidity increased with number of visits in all strata. CONCLUSIONS: When all chronic conditions were included in the analysis, almost 50% of the adult urban population had multimorbidity. The prevalence of multimorbidity differed by sex, age group and socioeconomic status. Multimorbidity patterns varied by life-stage and sex; however, circulatory-endocrine-metabolic patterns were the most prevalent multimorbidity pattern after 45 years of age. Women younger than 80 years had greater prevalence of multimorbidity than men, and women's multimorbidity prevalence increased as socioeconomic status declined in all age groups. Identifying multimorbidity patterns associated with specific age-related life-stages allows health systems to prioritize and to adapt clinical management efforts by age group.

Impact of multimorbidity: acute morbidity, area of residency and use of health services across the life span in a region of south Europe.

BACKGROUND: Concurrent diseases, multiple pathologies and multimorbidity patterns are topics of increased interest as the world's population ages. To explore the impact of multimorbidity on affected patients and the consequences for health services, we designed a study to describe multimorbidity by sex and life-stage in a large population sample and to assess the association with acute morbidity, area of residency and use of health services. METHODS: A cross-sectional study was conducted in Catalonia (Spain). Participants were 1,749,710 patients aged 19+ years (251 primary care teams). PRIMARY OUTCOME: Multimorbidity (≥2 chronic diseases). Secondary outcome: Number of new events of each acute disease. Other variables: number of acute diseases per patient, sex, age group (19-24, 25-44, 45-64, 65-79, and 80+ years), urban/rural residence, and number of visits during 2010. RESULTS: Multimorbidity was present in 46.8% (95% CI, 46.7%-46.8%) of the sample, and increased as age increased, being higher in women and in rural areas. The most prevalent pair of chronic diseases was hypertension and lipid disorders in patients older than 45 years. Infections (mainly upper respiratory infection) were the most common acute diagnoses. In women, the highest significant RR of multimorbidity vs. non-multimorbidity was found for teeth/gum disease (aged 19-24) and acute upper respiratory infection. In men, this RR was only positive and significant for teeth/gum disease (aged 65-79). The adjusted analysis showed a strongly positive association with multimorbidity for the oldest women (80+ years) with acute diseases and women aged 65-79 with 3 or more acute diseases, compared to patients with no acute diseases (OR ranged from 1.16 to 1.99, p < 0.001). Living in a rural area was significantly associated with lower probability of having multimorbidity. The odds of multimorbidity increased sharply as the number of visits increased, reaching the highest probability in those aged 65-79 years. CONCLUSIONS: Multimorbidity is related to greater use of health care services and higher incidence of acute diseases, increasing the burden on primary care services. The differences related to sex and life-stage observed for multimorbidity and acute diseases suggest that further research on multimorbidity should be stratified according to these factors.

Effectiveness of Culinary Nutrition Workshops on the Mood and Nutritional Interest of Inpatients With Mental Disorder.

Background Promoting healthy eating habits through nutrition education programs is crucial to improving the overall health of people with mental disorders. This study aims to assess the effectiveness of culinary nutrition workshops on the mood and nutritional interest of hospitalized adults with mental disorders (MD) from the acute psychiatric unit of two general hospitals in Catalonia, Spain. Methods A pilot randomized control trial (RCT) was conducted with MD inpatient. Participants were randomly assigned to two groups: the intervention group received weekly culinary nutrition workshops with flexible participation and the control group continued routinary care. The interest in nutrition was analysed with an ad hoc item pre and post-intervention period. Mood changes were studied with a visual analog scale and analysed pre- and post-intervention periods as well as before and after every session. An ad hoc questionnaire was also used to assess the satisfaction of participants with the intervention. The obtained data were analysed at both descriptive and inferential levels. Results We included 81 participants, with a mean age of 45.3 (SD: 17.0); 66.7% were women, with 41 assigned to the intervention group and 40 to the control group. At the end of every culinary nutrition workshop, a statistically significant improvement in mood was observed in the intervention group (5.9 vs. 7.4 points, p<0.001). However, there were no significant differences in mood changes between the control and intervention groups after the intervention period (control group: 1.0 vs. intervention group: 1.5, p=0.473), while the nutritional interest was significantly improved after the intervention period intergroups (control group: 4.1 vs. intervention group: 37.2, p<0.001). The intervention was excellently valued by the participants regarding content, space, and health professionals, and generated interest and motivation, with scores above 9 on all these items. Conclusion The improvement of interest in nutrition and the satisfaction of hospitalised people with MD with the nutrition culinary workshops emphasize the need to design more comprehensive RCTs in hospitals and rehabilitation centers.

Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity.

BACKGROUND: Health surveys (HS) are a well-established methodology for measuring the health status of a population. The relative merit of using information based on HS versus electronic health records (EHR) to measure multimorbidity has not been established. Our study had two objectives: 1) to measure and compare the prevalence and distribution of multimorbidity in HS and EHR data, and 2) to test specific hypotheses about potential differences between HS and EHR reporting of diseases with a symptoms-based diagnosis and those requiring diagnostic testing. METHODS: Cross-sectional study using data from a periodic HS conducted by the Catalan government and from EHR covering 80% of the Catalan population aged 15 years and older. We determined the prevalence of 27 selected health conditions in both data sources, calculated the prevalence and distribution of multimorbidity (defined as the presence of ≥2 of the selected conditions), and determined multimorbidity patterns. We tested two hypotheses: a) health conditions requiring diagnostic tests for their diagnosis and management would be more prevalent in the EHR; and b) symptoms-based health problems would be more prevalent in the HS data. RESULTS: We analysed 15,926 HS interviews and 1,597,258 EHRs. The profile of the EHR sample was 52% women, average age 47 years (standard deviation: 18.8), and 68% having at least one of the selected health conditions, the 3 most prevalent being hypertension (20%), depression or anxiety (16%) and mental disorders (15%). Multimorbidity was higher in HS than in EHR data (60% vs. 43%, respectively, for ages 15-75+, P <0.001, and 91% vs. 83% in participants aged ≥65 years, P <0.001). The most prevalent multimorbidity cluster was cardiovascular. Circulation disorders (other than varicose veins), chronic allergies, neck pain, haemorrhoids, migraine or frequent headaches and chronic constipation were more prevalent in the HS. Most symptomatic conditions (71%) had a higher prevalence in the HS, while less than a third of conditions requiring diagnostic tests were more prevalent in EHR. CONCLUSIONS: Prevalence of multimorbidity varies depending on age and the source of information. The prevalence of self-reported multimorbidity was significantly higher in HS data among younger patients; prevalence was similar in both data sources for elderly patients. Self-report appears to be more sensitive to identifying symptoms-based conditions. A comprehensive approach to the study of multimorbidity should take into account the patient perspective.