Effectiveness of a universal personalized intervention for the prevention of anxiety disorders: Protocol of a randomized controlled trial (the prevANS project).

Background: To date, all preventive anxiety disorders interventions are one-fit-all and none of them are based on individual level and risk profile. The aim of this project is to design, develop and evaluate an online personalized intervention based on a risk algorithm for the universal prevention of anxiety disorders in the general population. Methods: A randomized controlled trial (RCT) with two parallel arms (prevANS vs usual care) and 1-year follow-up including 2000 participants without anxiety disorders from Spain and Portugal will be conducted.The prevANS intervention will be self-guided and can be implemented from the prevANS web or from the participants' Smartphone (through an App). The prevANS intervention will have different intensities depending on the risk level of the population, evaluated from the risk algorithm for anxiety: predictA. Both low and moderate-high risk participants will receive information on their level and profile (risk factors) of anxiety disorders, will have access to stress management tools and psychoeducational information periodically. In addition, participants with a moderate-high risk of anxiety disorders will also have access to cognitive-behavioral training (problem-solving, decision-making, communication skills, and working with thoughts). The control group will not receive any intervention, but they will fill out the same questionnaires as the intervention group.Assessments will be completed at baseline, 6 and 12-month follow-up. The primary outcome is the cumulative incidence of anxiety disorders. Secondary outcomes include depressive and anxiety symptoms, risk probability of anxiety disorders (predictA algorithm) and depression (predictD algorithm), improvement in physical and mental quality of life, and acceptability and satisfaction with the intervention. In addition, cost-effectiveness and cost-utility analyses will also be carried out from two perspectives, societal and health system, and analyses of mediators and moderators will also be performed. Discussion: To the best of our knowledge, prevANS study will be the first to evaluate the effectiveness and cost-effectiveness of a personalized online intervention based on a risk predictive algorithm for the universal prevention of anxiety disorders. Trial registration: ClinicalTrials.gov: NCT05682365.

Predicting the onset of major depression in primary care: international validation of a risk prediction algorithm from Spain.

BACKGROUND: The different incidence rates of, and risk factors for, depression in different countries argue for the need to have a specific risk algorithm for each country or a supranational risk algorithm. We aimed to develop and validate a predictD-Spain risk algorithm (PSRA) for the onset of major depression and to compare the performance of the PSRA with the predictD-Europe risk algorithm (PERA) in Spanish primary care. METHOD: A prospective cohort study with evaluations at baseline, 6 and 12 months. We measured 39 known risk factors and used multi-level logistic regression and inverse probability weighting to build the PSRA. In Spain (4574), Chile (2133) and another five European countries (5184), 11 891 non-depressed adult primary care attendees formed our at-risk population. The main outcome was DSM-IV major depression (CIDI). RESULTS: Six variables were patient characteristics or past events (sex, age, sex×age interaction, education, physical child abuse, and lifetime depression) and six were current status [Short Form 12 (SF-12) physical score, SF-12 mental score, dissatisfaction with unpaid work, number of serious problems in very close persons, dissatisfaction with living together at home, and taking medication for stress, anxiety or depression]. The C-index of the PSRA was 0.82 [95% confidence interval (CI) 0.79-0.84]. The Integrated Discrimination Improvement (IDI) was 0.0558 [standard error (s.e.)=0.0071, Zexp=7.88, p<0.0001] mainly due to the increase in sensitivity. Both the IDI and calibration plots showed that the PSRA functioned better than the PERA in Spain. CONCLUSIONS: The PSRA included new variables and afforded an improved performance over the PERA for predicting the onset of major depression in Spain. However, the PERA is still the best option in other European countries.

[Virtual reality as a tool for the prevention, diagnosis and treatment of cognitive impairment in the elderly: a systematic review]. / Realidad virtual como herramienta de prevención, diagnóstico y tratamiento del deterioro cognitivo en personas mayores: revisión sistemática.

INTRODUCTION: In recent decades, research into the effects of virtual reality on different neurological disorders has increased exponentially. Yet, the literature focused on the beneficial effects of virtual reality on cognitive impairment in elderly people is limited. AIM: To explore the application of virtual reality as a preventive, diagnostic or therapeutic tool for cognitive impairment in elderly people. PATIENTS AND METHODS: A literature search was conducted in the Medline and Web of Science databases, including all the literature published from their inception up until December 2019. RESULTS: Of the 270 publications found, 15 met the inclusion criteria: two examined the effect of virtual reality as a tool for the prevention of cognitive impairment, six looked at its possible applications in diagnosis, and seven explored its effectiveness as a form of treatment. CONCLUSIONS: There is evidence of the potential effect of virtual reality as a preventive strategy against the development of cognitive impairment in elderly people. There is also evidence of its applicability as a diagnostic tool for detecting the development of mild cognitive impairment or dementia, and of its effectiveness as a treatment, since it improves the cognitive functioning of elderly people with cognitive impairment. Further studies are needed that are more methodologically robust and have long follow-up times in order to examine the real impact of virtual reality and to be able to generalise its application in different areas of the management of cognitive impairment.

TITLE: Realidad virtual como herramienta de prevención, diagnóstico y tratamiento del deterioro cognitivo en personas mayores: revisión sistemática.Introducción. En las últimas décadas, se ha incrementado exponencialmente la investigación sobre los efectos de la realidad virtual en diferentes trastornos neurológicos. Sin embargo, la bibliografía centrada en los beneficios de la realidad virtual sobre el deterioro cognitivo en personas mayores es limitada. Objetivo. Explorar la aplicación de la realidad virtual como herramienta preventiva, diagnóstica o de tratamiento del deterioro cognitivo en personas mayores. Pacientes y métodos. Se llevó a cabo una búsqueda bibliográfica en las bases de datos Medline y Web of Science, incluyendo toda la bibliografía publicada desde sus inicios hasta diciembre de 2019. Resultados. De las 270 publicaciones encontradas, 15 cumplieron los criterios de inclusión: dos examinaron el efecto de la realidad virtual como herramienta de prevención del deterioro cognitivo; seis, su aplicabilidad diagnóstica; y siete, su efectividad como tratamiento. Conclusiones. Existe evidencia del potencial efecto de la realidad virtual como estrategia preventiva frente al desarrollo de deterioro cognitivo en personas mayores. Existe también evidencia de su aplicabilidad como herramienta diagnóstica de detección de desarrollo de deterioro cognitivo leve o demencia, y de su efectividad como tratamiento, ya que mejora el funcionamiento cognitivo de personas mayores con deterioro cognitivo. Son necesarios futuros estudios metodológicamente más robustos y con amplios tiempos de seguimiento para examinar el impacto real de la realidad virtual y poder generalizar su aplicación en los diferentes ámbitos de manejo del deterioro cognitivo.

Reasons for medication non-initiation: A qualitative exploration of the patients' perspective.

BACKGROUND: Non-initiation occurs when the doctor prescribes a new pharmacological treatment to a patient who does not fill the prescription. Non-initiation prevalence estimates range between 6% and 28% in Primary Care (PC) and it is associated with poorer clinical outcomes, more sick-leave days and higher costs. To date, the reasons for non-initiation have not been explored using a qualitative framework. OBJECTIVE: The aim of the present study was to identify reasons for medication non-initiation among PC patients with distinct treatment profiles (acute, chronic symptomatic and asymptomatic, and mental disorders). METHODS: An exploratory, explanatory qualitative study based on Grounded Theory. We conducted individual semi-structured interviews with 30 PC patients. A constant comparative method of analysis was performed. RESULTS: The results were similar for all therapeutic groups. The decision to initiate treatment is multifactorial. Users make a risk-benefit assessment which is influenced by their beliefs about the pathology and the medication, their emotional reaction, health literacy and cultural factors. The patients' context and relationship with the health system influence decision-making. CONCLUSIONS: The decision to initiate a treatment is strongly influenced by factors that health professionals can discuss with patients. Health professionals should explore patients' beliefs about benefits and risks to help them make informed decisions and promote shared decision-making. General practitioners should ensure that patients understand the benefits and risks of disease and treatment, while explaining alternative treatments, encouraging patients to ask questions and supporting their treatment decisions.

[Opinions of healthcare professionals on the definition of severe mental illness: a qualitative study]. / Opiniones de los profesionales del ámbito sanitario acerca de la definición de trastorno mental grave. Un estudio cualitativo.

BACKGROUND: Over the years, a number of definitions of severe mental illness (SMI) have been proposed and substantial controversy about the definition still remains. The aim of this study was to evaluate the views of a group of mental health professionals on the appropriate criteria for defining SMI. METHODOLOGY: This was a qualitative study, based on five focus groups with mental health professionals (psychiatrists, psychologists, nurses, general practitioners, monitors and social workers) from Carlos Haya Hospital in Malaga, Spain. A content analysis was performed on the transcriptions by three independent researchers. RESULTS: The professionals agreed that a certain degree of dysfunctionality must be present for a definition of SMI. There was some disagreement between the different categories of professionals regarding the inclusion of dimensions such as diagnosis, family and social support, use of healthcare resources and duration of the illness as necessary and sufficient criteria for the definition of SMI. From the professionals' discourse, some personal patient variables such as age of onset of illness, lack of insight and level of education emerged as relevant for the definition of SMI. CONCLUSIONS: Apart from the dimensions considered in the literature, the interviewed mental health professionals discussed other criteria that could be taken into account in the definition of SMI. Perceptions differ between categories of professional and work settings in which they operate.