Analysis of health services use and clinical profiles in the year prior to suicide between 2010-2018, an opportunity to improve its prevention.

INTRODUCTION: Suicide is the first cause of external death in Spain. International studies show frequent and varied health contacts in the months prior to suicide. There are hardly any studies on that phenomenon in this country. OBJECTIVE: To analyze health care use in the year prior to suicide between 2010-2018 in the Basque Country, as well as pharmacological prescriptions and psychiatric diagnoses received. METHODS: Retrospective descriptive study with all suicides registered by the Basque Institute of Legal Medicine(BILM) between 2010-2018. The records of the BILM and the Basque Health Service(Osakidetza) were cross-checked. RESULTS: 1526 suicides were analyzed. 74% had health contacts in the previous year.The use was higher in women (p<0.05) and in older ages (p<0001). Primary Care was the most used specialty (58.8% the previous year and 7.1% the previous week), followed by Hospital Emergencies(50.3% and 10.2%) and Outpatient Medical Specialties(49% and 11.6%), especially Radiology. Outpatient psychiatry only contacted 29.6% that year, although it had the highest average number of visits (15.1 SD22.6). The most frequent diagnostic category among psychiatric patients was F30- 39(26.7%), with differences between sexes and ages. 49.7% received psychotropic drugs. CONCLUSIONS: The results are aligned with international evidence, which they also extend, and reinforce the need to extend prevention beyond psychiatric services. It seems advisable to increase proactivity in the search for risk by sensitizing and training different professional profiles, but also to work from non-health settings to improve assistance to highly vulnerable profiles (young men) with low health links.

[Evaluation of BIZI, a new Spanish-language online program for community-based suicide preventionAvaliação do BIZI, um novo programa on-line em espanhol para prevenção de suicídio com base na comunidade]. / Evaluación de BIZI, nuevo programa en línea en español para prevenir el suicidio desde la comunidad.

Objective: To evaluate the BIZI program, a Spanish-language gatekeeper training program with a novel online self-learning format that is brief and open-access. It was developed as part of the suicide prevention strategy in Euskadi (Spain) to improve community-based suicide prevention. Methods: A group of experts from different fields created the program and tested its usability in a preliminary phase. A single-group design was used for the evaluation, with repeated measurements (before, immediately after, and after three months). Online questionnaires were used to evaluate the program's impact on core competencies for gatekeepers, as well as adherence to content and user satisfaction. Community agents (educators and social workers, among others) who responded to an invitation sent by regional public health coordinators were included in the study. Results: In total, 728 people accessed the training, and 86% completed it; 569 people completed the assessment (81.2% women, mean age 41.4 years). The core gatekeeper competencies of attitude, self-efficacy, and knowledge improved significantly, and improvement was sustained ≥3 months in a subsample (P = 0.0001). Conclusions: The results are promising and suggest that BIZI is useful in improving the capacity and willingness of community agents to identify people at risk and refer them to specialized resources. Its novel format gives it important advantages over other more common gatekeeper training programs, facilitating its dissemination in low-resource environments. It is the first program of its kind whose effectiveness has been demonstrated and also the first available in Spanish.

Objetivo: Avaliar o Programa BIZI, um programa de capacitação de gatekeepers em espanhol com um formato inovador on-line autoinstrucional, breve e de livre acesso, desenvolvido como parte da estratégia de prevenção de suicídio em Euskadi (Espanha) para melhorar a prevenção de suicídio em ambientes comunitários. Métodos: O programa foi desenvolvido por um grupo multidisciplinar de especialistas, e sua usabilidade testada em uma fase preliminar. Para a avaliação, foi utilizado um delineamento de grupo único e medidas repetidas (antes, imediatamente após e aos três meses). Foram utilizados questionários on-line para avaliar o impacto sobre as competências básicas do gatekeeper, a adesão ao conteúdo e a satisfação. Fizeram parte do estudo os agentes comunitários (educadores e assistentes sociais, entre outros) que responderam a um convite enviado pelos coordenadores de saúde pública da comarca. Resultados: O programa de capacitação foi acessado por 728 pessoas e concluído por 86% delas. Um total de 569 pessoas concluiu a avaliação (81,2% do sexo feminino, idade média de 41,4 anos). As competências básicas do gatekeeper relativas a atitude, autoeficácia e conhecimento melhoraram significativamente, e essa melhoria se manteve em uma subamostra por um período de 3 meses ou mais (P = 0,0001). Conclusões: Os resultados são promissores e indicam a utilidade do BIZI para melhorar a capacidade e a disposição dos agentes comunitários para identificar pessoas em situação de risco e encaminhá-las para recursos especializados. Seu formato inovador confere vantagens importantes em relação a outros programas de gatekeeper mais comuns e facilita sua disseminação em ambientes com poucos recursos. Esse é o primeiro programa desse tipo com eficácia comprovada, além de ser o primeiro disponível em espanhol.

SESSAMO, follow-up of secondary students to assess mental health and obesity: a cohort study.

During last decades, a departure from health-related lifestyles has been observed among adolescents. Evidence reports that healthy lifestyles could be predictors of better mental health status. The aims of the SESSAMO Project are: 1) to assess the association between lifestyles and physical and mental health; 2) to assess how self-concept and stressful life events can modulate these associations; and 3) to establish the role of social determinants in the lifestyle and in adolescents' health. The SESSAMO Project is a prospective cohort carried out in Spain. Students aged 14-16 years (2nd-4th ESO) and their parents are invited to participate. Baseline data are collected through on-line, validated, self-administered questionnaires through a digital platform. Information on lifestyles, stressful life events and self-concept are collected. Screening of depression, anxiety, eating disorders, suicide risk, psychotic experiences and COVID impact is assessed. Every three years, up to age of 25, participants will be contacted again to update relevant information.

Fibromyalgia and nonfibromyalgia chronic pain: Differences in psychological characteristics and treatment outcomes.

The aim of this study was to explore differential psychological profiles among patients with chronic pain with and without fibromyalgia, and to determine the results of the cognitive behavioral therapy (CBT) for pain. Thirty patients with chronic pain and 60 patients with fibromyalgia were referred to 10 weekly sessions of CBT in a general hospital and were evaluated in pain-related variables, psychopathological symptoms, coping strategies, resilience, and quality of life. The program was implemented in specific groups for patients with fibromyalgia and nonfibromyalgia chronic pain. After the intervention, patients with fibromyalgia showed higher levels of psychopathology, rated their health status as poorer, and presented larger amplification of symptoms, higher levels of somatization, a more ruminating style of thinking and greater distress. Patients without fibromyalgia achieved better therapeutic results in both pain intensity (d = 0.39 vs. d = 0.12) and psychopathological distress (d = 0.77 vs. d = 0.11) compared to patients with fibromyalgia. Therefore, differential profiles and limited therapeutic results in fibromyalgia patients suggest the need to outline differentiated treatments and include other therapeutic strategies.

Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data.

INTRODUCTION: Incidence rates of dementia-related neuropsychiatric symptoms (NPS) are not known and this hampers the assessment of their population burden. The objective of this study was to obtain an approximate estimate of the population incidence and prevalence of both dementia and NPS. METHODS: Given the dynamic nature of the population with dementia, a retrospective study was conducted within the database of the Basque Health Service (real-world data) at the beginning and end of 2019. Validated random forest models were used to identify separately depressive and psychotic clusters according to their presence in the electronic health records of all patients diagnosed with dementia. RESULTS: Among the 631,949 individuals over 60 years registered, 28,563 were diagnosed with dementia, of whom 15,828 (55.4%) showed psychotic symptoms and 19,461 (68.1%) depressive symptoms. The incidence of dementia in 2019 was 6.8/1000 person-years. Most incident cases of depressive (72.3%) and psychotic (51.9%) NPS occurred in cases of incident dementia. The risk of depressive-type NPS grows with years since dementia diagnosis, living in a nursing home, and female sex, but falls with older age. In the psychotic cluster model, the effects of male sex, and older age are inverted, both increasing the probability of this type of symptoms. CONCLUSIONS: The stigmatization factor conditions the social and attitudinal environment, delaying the diagnosis of dementia, preventing patients from receiving adequate care and exacerbating families' suffering. This study evidences the synergy between big data and real-world data for psychiatric epidemiological research.

Use of Health Services in the Months Prior to Suicide in a Country With Low Suicide Rates and Public Universal Access to Healthcare.

AIM: The use of health services prior to suicide has been little studied in countries with low suicide rates and, on the other hand, little is known on the use of concrete medical specialties other than primary care or mental health services. OBJECTIVES: To analyze the use of different types of health services, the psychiatric diagnosis, and treatments received in the year prior to suicide in the region of Gipuzkoa (Spain), a country with low rates of suicide and public universal access to healthcare. METHODS: This is a retrospective descriptive study. We included all suicides registered by the official legal body between 2010 and 2017. RESULTS: 388 suicides were analyzed. 78.9% had some contact with the health service in the last year. Primary care was the most used (60% contacted in the last 12 months and 23.5% in last week) followed by non-psychiatric outpatient specialties, mainly neurology, ophthalmology, and rehabilitation. Hospital discharges in the last month were 3 times higher from non-psychiatric units than from psychiatry (5.9% vs 1.8%). Only 32.5% contacted an outpatient psychiatric service the last year and less than 50% had a prescription of psychotropic drugs. The most frequent psychiatric diagnosis was F40-F49 (29.2%). CONCLUSIONS: Results expand the available knowledge and highlight the role of concrete non-psychiatric specialties (including both outpatient and inpatient services) in suicide prevention. Percentages of healthcare use are in line with other countries including some with different healthcare models and higher suicide rates. HIGHLIGHTSHealthcare use is high but similar to countries with higher suicide ratesThe use of several non-psychiatric specialties (outpatient & inpatient) stands outOnly 1 in 3 saw a psychiatrist and 1 in 2 might have received a psych. diagnosis.

Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data.

INTRODUCTION: Incidence rates of dementia-related neuropsychiatric symptoms (NPS) are not known and this hampers the assessment of their population burden. The objective of this study was to obtain an approximate estimate of the population incidence and prevalence of both dementia and NPS. METHODS: Given the dynamic nature of the population with dementia, a retrospective study was conducted within the database of the Basque Health Service (real-world data) at the beginning and end of 2019. Validated random forest models were used to identify separately depressive and psychotic clusters according to their presence in the electronic health records of all patients diagnosed with dementia. RESULTS: Among the 631,949 individuals over 60 years registered, 28,563 were diagnosed with dementia, of whom 15,828 (55.4%) showed psychotic symptoms and 19,461 (68.1%) depressive symptoms. The incidence of dementia in 2019 was 6.8/1000 person-years. Most incident cases of depressive (72.3%) and psychotic (51.9%) NPS occurred in cases of incident dementia. The risk of depressive-type NPS grows with years since dementia diagnosis, living in a nursing home, and female sex, but falls with older age. In the psychotic cluster model, the effects of male sex, and older age are inverted, both increasing the probability of this type of symptoms. CONCLUSIONS: The stigmatization factor conditions the social and attitudinal environment, delaying the diagnosis of dementia, preventing patients from receiving adequate care and exacerbating families' suffering. This study evidences the synergy between big data and real-world data for psychiatric epidemiological research.

Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data.

BACKGROUND: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated. OBJECTIVE: The objective of the study was to validate predictive models to separately identify psychotic and depressive symptoms in patients diagnosed with dementia using clinical databases representing the whole population to inform decision-makers. METHODS: First, we searched the electronic health records of 4,003 patients with dementia to identify NPS. Second, machine learning (random forest) algorithms were applied to build separate predictive models for psychotic and depressive symptom clusters in the training set (N = 3,003). Third, calibration and discrimination were assessed in the test set (N = 1,000) to assess the performance of the models. RESULTS: Neuropsychiatric symptoms were noted in the electronic health record of 58% of patients. The area under the receiver operating curve reached 0.80 for the psychotic cluster model and 0.74 for the depressive cluster model. The Kappa index and accuracy also showed better discrimination in the psychotic model. Calibration plots indicated that both types of model had less predictive accuracy when the probability of neuropsychiatric symptoms was <25%. The most important variables in the psychotic cluster model were use of risperidone, level of sedation, use of quetiapine and haloperidol and the number of antipsychotics prescribed. In the depressive cluster model, the most important variables were number of antidepressants prescribed, escitalopram use, level of sedation, and age. CONCLUSION: Given their relatively good performance, the predictive models can be used to estimate prevalence of NPS in population databases.

Prevention of Suicidal Behavior with Telemedicine in Patients with a Recent Suicide Attempt: Is a 6-month Intervention Long Enough?

OBJECTIVE: To analyze the results of a 6-month telephone follow-up program for the prevention of suicidality in adult patients discharged from three general hospitals after a suicide attempt. Results are compared with traditional programs lasting 12 months or more. METHODS: This is a prospective, multicenter, study with the control group. Patients in the intervention group received five protocolized telephone calls which were added to their usual treatment. Those in the control group only received usual treatment. Each patient was followed up for 12 months. RESULTS: A total of 123 patients were included in the intervention group and 463 in the control group. 57.7% received at least three calls. Patients in the intervention group took longer to perform a reattempt (p = .05). The percentage of those who did a reattempt (p = .67) and the number of reattempts per patient (p = .66) did not differ between groups. Those in the intervention group showed higher percentages of adherence to the outpatient follow-up (p < .001). CONCLUSION: The intervention was well accepted and showed improved percentages of adherence to outpatient follow-up; however, the results in the prevention of suicidality were worse than those obtained by programs lasting 12 months or more. It is advisable to maintain the telephone follow-up for a minimum of 12 months.

Improving clinical symptoms, functioning, and quality of life in chronic schizophrenia with an integrated psychological therapy (IPT) plus emotional management training (EMT): A controlled clinical trial.

Objective: This paper describes the results of testing a multi-component psychological therapy that includes integrated psychological therapy (IPT), together with an adaptation of emotional management therapy (EMT), versus treatment as usual (TAU), delivered in a community mental health setting for individual with chronic schizophrenia. We investigated the effectiveness of a psychological intervention on clinical symptoms, cognitive and social functioning, as well as the feasibility of treatment and its acceptance. Method: 77 outpatients were recruited, 42 in the experimental group, who were treated with IPT + EMT, and 35 participants in control condition (TAU), both during 8 months. The subjects of both groups were assessed pre and postreatment. Results: Treatment attendance was 98% in experimental group and none of patients required hospital admission during therapy, meanwhile 11 patients from the TAU group withdrew and 3 were hospitalized during therapy. After therapy, patients in the experimental group compared to TAU, reduced clinical symptoms and improved cognitive functioning and quality of life. Conclusion: Psychological therapy seems to be a feasible intervention even in the chronic stages of the disease.

Dementia-related neuropsychiatric symptoms: inequalities in pharmacological treatment and institutionalization.

BACKGROUND: Dementia-related neuropsychiatric symptoms (NPS) are the main determinant of family stress and institutionalization of patients. This study aimed to identify inequalities by gender and socioeconomic status in the management of NPS in patients diagnosed with dementia. METHODS: An observational study was carried out to study all the cases of dementia in the corporate database of the Basque Health Service (29,864 patients). The prescription of antipsychotics and antidepressants and admission to a nursing home were used to establish the presence of NPS. The socioeconomic status of individuals was classified by a deprivation index. Logistic regressions were used to identify drivers for drug prescriptions and institutionalization. RESULTS: NPS are poorly recorded in the clinical databases (12%). Neuropsychiatric symptoms were severe enough in two thirds of patients with dementia to be treated with psychoactive medication. Institutionalization showed an increase from those who did not receive medication to those who had been prescribed antidepressants (OR: 1.546), antipsychotics (OR: 2.075) or both (OR: 2.741). The resulting inequalities were the increased prescription of antidepressant drugs in women and more nursing-home admissions for women who were the least socioeconomically deprived and men who were the most deprived. CONCLUSIONS: In large clinical databases, psychoactive drugs prescriptions can be useful to underscore the considerable burden of dementia-related NPS. Specific tools are needed to monitor social and health care programs targeted to dementia-related NPS from a population perspective. Programs aimed at reducing the family burden of care of dementia patients at home become the key elements in reducing inequalities in these patients' care. Socioeconomic status is the most important driver of inequality, and gender inequality may simply be hidden within the social environment. Integrated programs boosting the continuity of care are an objective for which compliance could be measured according to the NPS coding in the electronic health record.

Preventing cognitive decline in chronic schizophrenia: Long-term effectiveness of integrated psychological therapy and emotional management training.

BACKGROUND: Effective group psychological therapies in the chronic phases of schizophrenia are rare. This paper describes the results of testing a group therapy that includes integrated psychological therapy (IPT) together with an adaptation of emotional management therapy (EMT), delivered in a sample of outpatients with chronic schizophrenia. METHOD: 42 patients received the psychological intervention during eight months and they were assessed at baseline, posttreatment and 1, 3, 6 and 12 months follow-up. RESULTS: The program was well accepted, and there was only one dropped out during the therapy and 2 hospital admissions during the 20 months of contact with patients along the study. Improvements were observed in cognition, social functioning, and quality of life after the treatment, and these results were maintained to the long-term follow-up. To summarize, patients were better 12 months after the treatment than in baseline. CONCLUSION: the integrative psychological program applied was effective and it was well accepted and could be used in public mental health services as a protective factor, reducing hospitalizations, preventing cognitive decline, helping patients to manage their daily worries and making them feel more supported.

Rationale and methods of the iFightDepression study: A double-blind, randomized controlled trial evaluating the efficacy of an internet-based self-management tool for moderate to mild depression.

BACKGROUND: During the last decade online interventions have emerged as a promising approach for patients with mild/moderate depressive symptoms, reaching at large populations and representing cost-effective alternatives. The main objective of this double-blind, randomized controlled trial is to examine the efficacy of an internet-based self-management tool (iFightDepression) for mild to moderate depression as an add-on to treatment as usual (TAU) versus internet-based psychoeducation plus TAU. METHODS: A total of 310 participants with major depression disorder (MDD) will be recruited at four different mental-health facilities in Spain. Participants will be randomly allocated to one of two study arms: iFightDepression (iFD) tool + TAU vs. internet-based psychoeducation + TAU. Both interventions last for 8 weeks and there is a 12 weeks follow up. The primary outcome measure is changes in depressive symptoms assessed with the Hamilton Depression Rating Scale. Additionally, pre-post interventions assessments will include socio-demographic data, a brief medical and clinical history and self-reported measures of depressive symptoms, quality of life, functional impairments and satisfaction with the iFD tool. DISCUSSION: iFightDepression is an easy-prescribed tool that could increase the efficacy of conventional treatment and potentially reach untreated patients, shortening waiting lists to receive psychological treatment. Confirming the efficacy of the iFD internet-based self-management tool as an add-on treatment for individuals with mild to moderate depression will be clinically-relevant. TRIAL REGISTRATION: Registration number NCT02312583 . Clinicaltrials.gov . December 4, 2014.

Comorbidities with chronic physical conditions and gender profiles of illness in schizophrenia. Results from PREST, a new health dataset.

OBJECTIVE: Using data from a large health dataset, the objectives are to describe the epidemiology of comorbidities with chronic physical conditions in schizophrenia, to identify gender profiles of illness and to discuss findings in the light of previous research. METHODS: The PREST health database was used which combines high quality and complementary data from numerous public health care resources in the Basque Country (Spain). RESULTS: A total number of 2,255,406 patients were included in this study and 7331 had a diagnosis of schizophrenia. 55.6% of them had one comorbid condition and 29.3% had 2 or more (e.g. multiple comorbidities). Hypertension (16.8%) was the most prevalent diagnosed comorbid condition in these patients. The risk of having neuropsychiatric disorders including Parkinson (OR up to 47.89), infectious diseases (OR up to 3.31) or diabetes (OR2.23) was increased, while the risk of having cancer (OR down to 0.76) or some cardiovascular conditions (OR down to 0.63) was reduced. Women (both with and without schizophrenia) showed higher percentages of comorbidities than men. A cluster of respiratory diseases was found only in women with schizophrenia (not in men). CONCLUSIONS: Results confirm partially previous findings and call for a more proactive and comprehensive approach to the health care of patients with schizophrenia. Specific profiles of risks for concrete disorders were identified which could be explained by selective underdiagnoses or higher exposition to risk factors in this group of patients. Results also suggest the need of a more gender oriented approach to health care in schizophrenia.

[Primary care and mental health care collaboration in patients with depression: Evaluation of a pilot experience]. / Colaboración atención primaria-salud mental en la asistencia a pacientes con depresión: evaluación de una experiencia piloto.

OBJECTIVE: To implement and assess a collaborative experience between Primary Care (PC) and Mental Health (MH) in order to improve the care of patients with depression. DESIGN: Pilot collaborative project from a participatory action research approach during 2013. LOCATION: Basque Country. Osakidetza (Basque Health Service). Bizkaia and Gipuzkoa. PARTICIPANTS: The study included 207 professionals from general practice, nursing, psychiatry, psychiatric nursing, psychology and social work of 9 health centres and 6 mental health centres of Osakidetza. INTERVENTIONS: Shared design and development of four axes of intervention: 1) Communication and knowledge between PC and MH professionals, 2) Improvement of diagnostic coding and referral of patients, 3) Training programmes with meetings and common Clinical Practice Guidelines, and 4) Evaluation. MAIN MEASUREMENTS: Intervention and control questionnaires to professionals of the centres on the knowledge and satisfaction in the PC-MH relationship, joint training activities, and assessment of the experience. Osakidetza registers of prevalences, referrals and treatments. Follow-up meetings. RESULTS: Improvement in the 4 axes of intervention in the participant centres compared with the controls. Identification of factors to be considered in the development and sustainability of PC-MH collaborative care. CONCLUSIONS: The pilot experience confirms that collaborative projects promoted by PC and MH can improve depression care and the satisfaction of professionals. They are complex projects that need simultaneous interventions adjusted to the particularities of the health services. Multidisciplinary and continuous participation and management and information system support are necessary for their implementation.