1
|
Vieta E, Menchón Magriña JM, Bernardo Arroyo M, Pérez Sola V, Moreno Ruiz C, Arango López C, Bobes García J, Martín Carrasco M, Palao Vidal D, González-Pinto Arrillaga A. Basic quality indicators for clinical care of patients with major depression, schizophrenia, and bipolar disorder. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2024; 17:103-109. [PMID: 37852877 DOI: 10.1016/j.rpsm.2023.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 03/08/2023] [Accepted: 03/16/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVE To identify a set of indicators to monitor the quality of care for patients with major depression, schizophrenia, or bipolar disorder. METHODS A group of 10 experts selected the most automatically applicable indicators from a total of 98 identified in a previous study. Five online sessions and 5 discussion meetings were performed to select the indicators that met theoretical feasibility criteria automatically. Subsequently, feasibility was tested in a pilot study conducted in two hospitals of the Spanish Health Service. RESULTS After evaluating its measurement possibilities in the Spanish Health Service, and the fulfillment of all the quality premises defined, 16 indicators were selected. Three were indicators of major depression, 5 of schizophrenia, 3 of bipolar disorder, and 5 indicators common to all three pathologies. They included measures related to patient safety, maintenance and follow-up of treatment, therapeutic adherence, and adequacy of hospital admissions. After the pilot study, 5 indicators demonstrated potential in the automatic generation of results, with 3 of them related to treatments (clozapine in schizophrenia, lithium for bipolar disorder, and valproate in women of childbearing age). CONCLUSIONS Indicators support the monitoring of the quality of treatment of patients with major depression, schizophrenia, or bipolar disorder. Based on this proposal, each care setting can draw up a balanced scorecard adjusted to its priorities and care objectives, which will allow for comparison between centers.
Collapse
Affiliation(s)
- Eduard Vieta
- Hospital Clínic, Bipolar and Depressive Disorders Unit, Neurosciences Institute, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | | | | | - Víctor Pérez Sola
- Neuropsychiatry and Addcitions Institute, Hospital del Mar, CIBERSAM, ISCIII, IMIM (Hospital del Mar Institute of Medicine Research), Psychiatry Department, Autonomous University of Barcelona, Barcelona, Spain
| | - Carmen Moreno Ruiz
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Complutense University of Madrid, Madrid, Spain
| | - Celso Arango López
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Complutense University of Madrid, Madrid, Spain
| | - Julio Bobes García
- Hospital Universitario Central de Asturias (HUCA), ISPA, INEUROPA, CIBERSAM, ISCIII, University of Oviedo, Oviedo, Spain
| | | | - Diego Palao Vidal
- Hospital Universitario Parc Taulí-Mental Health, I3PT-INc Translational Neuroscience Unit, Autonomous University of Barcelona, CIBERSAM, ISCIII, Sabadell, Barcelona, Spain
| | - Ana González-Pinto Arrillaga
- Department of Psychiatry, BIOARABA, Hospital Universitario de Álava-Santiago, CIBERSAM, ISCIII, University of the Basque Country, Vitoria-Gasteiz, Spain.
| |
Collapse
|
2
|
Borg S, Henderson A, Taurima K, Johnston ANB. Emergency nursing nurse sensitive indicators: An integrative review. Int Emerg Nurs 2023; 66:101234. [PMID: 36527937 DOI: 10.1016/j.ienj.2022.101234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/11/2022] [Accepted: 10/20/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Nurse sensitive indicators (NSIs) capture the outcomes of each nursing function impacted by nursing care. NSIs are critical in clarifying foci for emergency nurses when providing care in the emergency department (ED). OBJECTIVE To establish NSIs key to emergency nursing from existing published literature. METHODS Ten databases were searched as well as grey literature and Google Scholar in the development of data for this integrative review. Articles underwent a title and abstract review to establish inclusion/exclusion suitability followed by a full text critical appraisal. Data were extracted, synthesized, and analyzed using a structured process. RESULTS Twenty-eight emergency nursing NSIs were identified from three included studies, with little consensus across the literature. The NSIs established in the literature reflected a broad range of non-specific technical skills. Overall, the quality of the included articles was low due to factors including study design and high risk of bias. CONCLUSIONS The constrained range of NSIs and the limited literature exploring the outcomes of emergency nursing care perhaps reflects a wide ranging and seemingly evolving scope of emergency nurses. Further research is needed to delineate emergency nursing NSI, perhaps underpinned by a clear definition of an emergency nurse in terms of capability statements, core skills and defining attributes.
Collapse
Affiliation(s)
- Sarah Borg
- Emergency Department, Queen Elizabeth II Jubilee Hospital, Corner of Kessels and Troughton Rd, Coorparoo, Queensland 4151, Australia; Department of Emergency Medicine, Princess Alexandra Hospital, Ipswich Rd, Woolloongabba, Queensland 4102, Australia; School of Nursing, Midwifery and Social Work, University of Queensland, Woolloongabba, Queensland 4102, Australia; Nursing Professional Development Unit, Princess Alexandra Hospital, 199 Ipswich Rd, Woolloongabba, Queensland 4102, Australia.
| | - Amanda Henderson
- Nursing Professional Development Unit, Princess Alexandra Hospital, 199 Ipswich Rd, Woolloongabba, Queensland 4102, Australia
| | - Karen Taurima
- Department of Emergency Medicine, Princess Alexandra Hospital, Ipswich Rd, Woolloongabba, Queensland 4102, Australia
| | - Amy N B Johnston
- Department of Emergency Medicine, Princess Alexandra Hospital, Ipswich Rd, Woolloongabba, Queensland 4102, Australia
| |
Collapse
|
3
|
Zurrón Madera P, Casaprima Suárez S, García Álvarez L, García-Portilla González MP, Junquera Fernández R, Lluch Canut MT. Eating and nutritional habits in patients with schizophrenia. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022; 15:54-60. [PMID: 35105526 DOI: 10.1016/j.rpsmen.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Accepted: 10/21/2019] [Indexed: 06/14/2023]
Abstract
BACKGROUND There are few studies that relate eating and nutritional habits to the severity of the disease and demographic profile in patients with schizophrenia. OBJECTIVE To describe eating and nutritional habits and their relationship with the severity of the disease in patients with schizophrenia. METHOD Cross-sectional descriptive study. SAMPLE 31 patients with schizophrenia (ICD-10) under outpatient treatment. INCLUSION CRITERIA age 18-65 years, clinically stable and, written informed consent. ASSESSMENT Demographic, clinical characteristics (CGI-SCH, length of illness, BMI, abdominal perimeter), ad hoc questionnaire (eating, nutritional, and physical activity). RESULTS Mean age 43.13(SD = 7.85) years, males 61.3%. Mean severity of illness was 3.94(SD = 1.06), mean duration of the illness 18.42(SD = 8.27) years. 74.2% used to eatweekly fat meat and 64.5% less than 3-4 servings of fish, 77.4% less than 3 servings of fruit per day, and 51.6% drink less than 1 L of water. 83.9% used to drink coffee daily, 2.81(SD = 2.02) cups per day. Patients showed lower levels of Vitamin A, D, E, K1, C, folic acid, and magnesium. 93.5% did not fulfill the WHO recommendations on physical activity. Only retinol (r = -0.602, P = .039) and vitamin K1 (r = -0.693, P = .012) in women were related to the severity of illness. CONCLUSIONS Outpatients with schizophrenia do not follow WHO recommendations on healthy diets, neither physical activity. Both clinical severity of the illness and marital status and cohabitation were associated with poor eating habits and nutrients deficit. These data should be taken into account by the nursing staff when implementing specific care in routine clinical practice.
Collapse
Affiliation(s)
- Paula Zurrón Madera
- Servicio de Salud del Principado de Asturias, SESPA, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Área de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, Spain.
| | | | - Leticia García Álvarez
- Fundación para la Investigación y la Innovación Biosanitaria del Principado de Asturias (FINBA); Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Área de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, Spain; Instituto de Neurociencias del Principado de Asturias (INEUROPA), Spain
| | - María Paz García-Portilla González
- Servicio de Salud del Principado de Asturias, SESPA, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Área de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, Spain; Instituto de Neurociencias del Principado de Asturias (INEUROPA), Spain
| | | | - María Teresa Lluch Canut
- Escuela de Enfermería, Facultad de Medicina Ciencias de la Salud, Campus Bellvitge Universidad de Barcelona, Spain
| |
Collapse
|
4
|
Rodriguez-Jimenez R, Corripio I, Campos R, Páramo M, Franco-Martin M, Segura E, González S, Martínez-Raga J. Structure and Functioning of Acute Inpatient Psychiatric Units in Spain: Qualitative Study. JMIR Res Protoc 2021; 10:e26214. [PMID: 33729167 PMCID: PMC8060864 DOI: 10.2196/26214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 03/11/2021] [Accepted: 03/17/2021] [Indexed: 12/03/2022] Open
Abstract
Background As a consequence of the decentralization of health care provision to the different Regions (called Autonomous Communities) in Spain, different health care models and resources have been developed for psychiatric patients. It would be very useful to obtain comprehensive and comparative data on health care models, resources, and activity of acute inpatient psychiatric units (AIPUs) as a key part of mental health systems. Objective The aim of this study was to determine the current state of AIPUs in Spain through a national scorecard that allows the current situation to be visualized in terms of resources, processes, and outputs. Methods A 104-item online questionnaire was sent to all the AIPUs of the different Regions in Spain. It was divided into 11 sections, including data on the resources, processes, and outputs of the AIPUs plus general data, an indicator dashboard, and good practices. Results The questionnaire was completed by 60.0% (117/195) of the AIPUs invited to participate. The information collected has allowed us to obtain a detailed snapshot of the current situation of AIPUs in Spain at the levels of infrastructure and material resources, staffing, organization and activity of the units, coordination with other units, guidelines, processes and protocols used, participation and communication with patients and their families, teaching activity, and research linked to the units. Conclusions This project aimed to help understand the general situation of AIPUs in Spain and its different Regions, contribute to enhancing the benchmarking and harmonization among Spanish Regions, and provide data for future comparisons with other countries. International Registered Report Identifier (IRRID) RR1-10.2196/26214
Collapse
Affiliation(s)
- Roberto Rodriguez-Jimenez
- Department of Psychiatry, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain.,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Madrid, Spain.,Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Iluminada Corripio
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Ricardo Campos
- Department of Psychiatry, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | - Mario Páramo
- Department of Psychiatry, Hospital de Conxo, Universidad de Santiago, Santiago de Compostela, Spain
| | - Manuel Franco-Martin
- Department of Psychiatry, Jefe del servicio de psiquiatría del Hospital Universitario Rio Hortega de Valladolid, Valladolid, Spain.,Department of Psychiatry, Complejo Asistencial de Zamora, Zamora, Spain
| | - Estefanía Segura
- Department of Psychiatry, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
| | - Sergio González
- Department of Psychiatry, Hospital Universitario Virgen Macarena, Sevilla, Spain.,Department of Psychiatry, Faculty of Medicine, University of Seville, Sevilla, Spain
| | - José Martínez-Raga
- Department of Psychiatry, Hospital Universitario Doctor Peset, Valencia, Spain
| |
Collapse
|
5
|
Zurrón Madera P, Casaprima Suárez S, García Álvarez L, García-Portilla González MP, Junquera Fernández R, Canut MTL. Eating and nutritional habits in patients with schizophrenia. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2019; 15:S1888-9891(19)30098-9. [PMID: 31864966 DOI: 10.1016/j.rpsm.2019.10.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 10/03/2019] [Accepted: 10/21/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND There are few studies that relate eating and nutritional habits to the severity of the disease and demographic profile in patients with schizophrenia. OBJECTIVE To describe eating and nutritional habits and their relationship with the severity of the disease in patients with schizophrenia. METHOD Cross-sectional descriptive study. SAMPLE 31 patients with schizophrenia (ICD-10) under outpatient treatment. INCLUSION CRITERIA age 18-65 years, clinically stable and, written informed consent. ASSESSMENT Demographic, clinical characteristics (CGI-SCH, length of illness, BMI, abdominal perimeter), ad hoc questionnaire (eating, nutritional, and physical activity). RESULTS Mean age 43.13(SD=7.85) years, males 61.3%. Mean severity of illness was 3.94(SD=1.06), mean duration of the illness 18.42(SD=8.27) years. 74.2% used to eat weekly fat meat and 64.5% less than 3-4 servings of fish, 77.4% less than 3 servings of fruit per day, and 51.6% drink less than 1l of water. 83.9% used to drink coffee daily, 2.81(SD=2.02) cups per day. Patients showed lower levels of Vitamin A, D, E, K1, C, folic acid, and magnesium. 93.5% did not fulfill the WHO recommendations on physical activity. Only retinol (r=-0.602, p=0.039) and vitamin K1 (r=-0.693, p=0.012) in women were related to the severity of illness. CONCLUSIONS Outpatients with schizophrenia do not follow WHO recommendations on healthy diets, neither physical activity. Both clinical severity of the illness and marital status and cohabitation were associated with poor eating habits and nutrients deficit. These data should be taken into account by the nursing staff when implementing specific care in routine clinical practice.
Collapse
Affiliation(s)
- Paula Zurrón Madera
- Servicio de Salud del Principado de Asturias, SESPA, España; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), España; Área de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, España.
| | | | - Leticia García Álvarez
- Fundación para la Investigación y la Innovación Biosanitaria del Principado de Asturias (FINBA); Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), España; Área de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, España; Instituto de Neurociencias del Principado de Asturias (INEUROPA), España
| | - María Paz García-Portilla González
- Servicio de Salud del Principado de Asturias, SESPA, España; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), España; Área de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, España; Instituto de Neurociencias del Principado de Asturias (INEUROPA), España
| | | | - María Teresa Lluch Canut
- Escuela de Enfermería, Facultad de Medicina Ciencias de la Salud, Campus Bellvitge Universidad de Barcelona, España
| |
Collapse
|
6
|
Vieta E. Disruptive treatments in psychiatry. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2019; 13:1-4. [PMID: 31735694 DOI: 10.1016/j.rpsm.2019.10.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 10/04/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Eduard Vieta
- Hospital Clínic, Instituto de Neurociencias, Universidad de Barcelona, IDIBAPS, CIBERSAM, Barcelona, España.
| |
Collapse
|
7
|
de la Fuente-Tomas L, Arranz B, Safont G, Sierra P, Sanchez-Autet M, Garcia-Blanco A, Garcia-Portilla MP. Classification of patients with bipolar disorder using k-means clustering. PLoS One 2019; 14:e0210314. [PMID: 30673717 PMCID: PMC6343877 DOI: 10.1371/journal.pone.0210314] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Accepted: 11/20/2018] [Indexed: 12/28/2022] Open
Abstract
Introduction Bipolar disorder (BD) is a heterogeneous disorder needing personalized and shared decisions. We aimed to empirically develop a cluster-based classification that allocates patients according to their severity for helping clinicians in these processes. Methods Naturalistic, cross-sectional, multicenter study. We included 224 subjects with BD (DSM-IV-TR) under outpatient treatment from 4 sites in Spain. We obtained information on socio-demography, clinical course, psychopathology, cognition, functioning, vital signs, anthropometry and lab analysis. Statistical analysis: k-means clustering, comparisons of between-group variables, and expert criteria. Results and discussion We obtained 12 profilers from 5 life domains that classified patients in five clusters. The profilers were: Number of hospitalizations and of suicide attempts, comorbid personality disorder, body mass index, metabolic syndrome, the number of comorbid physical illnesses, cognitive functioning, being permanently disabled due to BD, global and leisure time functioning, and patients’ perception of their functioning and mental health. We obtained preliminary evidence on the construct validity of the classification: (1) all the profilers behaved correctly, significantly increasing in severity as the severity of the clusters increased, and (2) more severe clusters needed more complex pharmacological treatment. Conclusions We propose a new, easy-to-use, cluster-based severity classification for BD that may help clinicians in the processes of personalized medicine and shared decision-making.
Collapse
Affiliation(s)
- Lorena de la Fuente-Tomas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Fondos FEDER, Madrid, Spain
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
| | - Belen Arranz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Fondos FEDER, Madrid, Spain
- Parc Sanitari Sant Joan de Deu and University of Barcelona, Barcelona, Spain
| | - Gemma Safont
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Fondos FEDER, Madrid, Spain
- University Hospital Mutua Terrassa and University of Barcelona, Barcelona, Spain
| | - Pilar Sierra
- La Fe University and Polytechnic Hospital and University of Valencia, Valencia, Spain
| | | | - Ana Garcia-Blanco
- La Fe University and Polytechnic Hospital and University of Valencia, Valencia, Spain
| | - Maria P. Garcia-Portilla
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Fondos FEDER, Madrid, Spain
- Department of Psychiatry, University of Oviedo, Oviedo, Spain
- * E-mail:
| |
Collapse
|
8
|
Barriers to complete recovery of major depression: cross-sectional, multi-centre study on clinical practice. RECORD study. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2018; 12:141-150. [PMID: 30429067 DOI: 10.1016/j.rpsm.2018.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 10/15/2018] [Accepted: 10/15/2018] [Indexed: 11/23/2022]
Abstract
INTRODUCTION To identify barriers to complete recovery in patients suffering from major depressive disorder. METHODS A total of 461 psychiatrists participated in a cross-sectional, non-randomised, qualitative and multi-centre study based on a survey. The study questionnaire included 42 ítems related to management, prevalence, patient profile, impact of residual symptoms, barriers to full recovery, and strategies to increase complete recovery. RESULTS Complete recovery was defined by 86% of participants as complete remission of symptoms plus functional recovery. A total of 83.4% of participants considered that sick leave usually lasted more than 4 months. Seventy-five percent stated that residual symptoms were the main reason for prolongation of sick leave, and 62% that between 26%-50% of patients complained of residual symptoms. Poor compliance with treatment was the most important barrier to complete recovery, followed by a lack of patient cooperation, late beginning of treatment, partial response to antidepressants, and low doses of antidepressant medication. In the case of partial response, 71.8% of participants chose to increase the dose of current treatment, and in the case of lack of response, 72.7% would switch to another antidepressant, and 22.8% would use the combination of two antidepressants, in which case 85.2% would choose agents with complementary mechanisms of action. Forty-nine percent of participants would recommend standard cognitive-behavioural psychotherapy for patients without complete response. CONCLUSIONS Some 50% of patients did not achieve complete remission, frequently related to persistence of residual symptoms. Achievement of complete recovery should be an essential objective.
Collapse
|
9
|
Salagre E, Arango C, Artigas F, Ayuso-Mateos JL, Bernardo M, Castro-Fornieles J, Bobes J, Desco M, Fañanás L, González-Pinto A, Haro JM, Leza JC, Mckenna PJ, Meana JJ, Menchón JM, Micó JA, Palomo T, Pazos Á, Pérez V, Saiz-Ruiz J, Sanjuán J, Tabarés-Seisdedos R, Crespo-Facorro B, Casas M, Vilella E, Palao D, Olivares JM, Rodriguez-Jimenez R, Vieta E. CIBERSAM: Ten years of collaborative translational research in mental disorders. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2018; 12:1-8. [PMID: 30416047 DOI: 10.1016/j.rpsm.2018.10.001] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 10/15/2018] [Accepted: 10/15/2018] [Indexed: 01/08/2023]
Affiliation(s)
- Estela Salagre
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
| | - Celso Arango
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón (IiSGM), Facultad de Medicina, Universidad Complutense, CIBERSAM, Madrid, España
| | - Francesc Artigas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Neuroquímica y Neurofarmacología, Institut d'Investigacions Biomèdiques de Barcelona IIBB-CSIC, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
| | - José Luis Ayuso-Mateos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Universidad Autónoma de Madrid, Madrid, España
| | - Miquel Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Unidad Esquizofrenia Clínic, Institut Clínic de Neurociencias, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
| | - Josefina Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología Infantil y Juvenil, Institut Clínic de Neurociencias, IDIBAPS, Hospital Clínic de Barcelona, Barcelona, España
| | - Julio Bobes
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Área de Psiquiatría, Universidad de Oviedo, Servicio de Salud del Principado de Asturias, Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Asturias, España
| | - Manuel Desco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Instituto de Investigación Sanitaria Gregorio Marañón, Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, España
| | - Lourdes Fañanás
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Secció Zoologia i Antropologia Biològica, Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, España
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Hospital Universitario Araba, Instituto de Investigación Sanitaria Bioaraba; Universidad del País Vasco, Vitoria, España
| | - Josep María Haro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Sant Boi de Llobregat, Barcelona, España
| | - Juan Carlos Leza
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Farmacología, Facultad de Medicina, Universidad Complutense de Madrid, Instituto Universitario de Investigación en Neuroquímica UCM, Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), Madrid, España
| | - Peter J Mckenna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; FIDMAG Germanes Hospitalàries Research Foundation, Sant Boi de Llobregat, Barcelona, España
| | - José Javier Meana
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Farmacología, Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Leioa, Bizkaia, Instituto de Investigación Sanitaria Biocruces Bizkaia, Barakaldo, Barakaldo, Bizkaia, España
| | - José Manuel Menchón
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría, Hospital Universitari de Bellvitge, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat; Departamento de Ciencias Clínicas, Universitat de Barcelona, Barcelona, España
| | - Juan Antonio Micó
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Grupo de Investigación en Neuropsicofarmacología y Psicobiología,, Departamento de Neurociencias, Universidad de Cádiz, Instituto de Investigación e Innovación en Ciencias Biomédicas de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, Cádiz, España
| | - Tomás Palomo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Hospital 12 de Octubre, Madrid, España
| | - Ángel Pazos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Fisiología y Farmacología, Facultad de Medicina, Universidad de Cantabria, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Universidad de Cantabria-CSIC-SODERCAN, Santander, Cantabria, España
| | - Víctor Pérez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Universitat Autònoma de Barcelona, Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, España
| | - Jerónimo Saiz-Ruiz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Hospital Ramon y Cajal, Universidad de Alcalá, IRYCIS, Madrid, España
| | - Julio Sanjuán
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; INCLIVA, Universidad de Valencia, Hospital Clínico Universitario de Valencia, Valencia, España
| | - Rafael Tabarés-Seisdedos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Medicina, INCLIVA, Universidad de Valencia, Valencia, España
| | - Benedicto Crespo-Facorro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Medicina y Psiquiatría, Universidad de Cantabria, Hospital Universitario Marqués de Valdecilla, IDIVAL, Santander, Cantabria, España
| | - Miquel Casas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría, Hospital Universitari Vall d'Hebron, Departamento de Psiquiatría y Medicina Legal, Universitat Autònoma de Barcelona, Barcelona, España
| | - Elisabet Vilella
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Reus, Tarragona, España
| | - Diego Palao
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servei de Salut Mental, Parc Taulí Hospital Universitari, Institut de Recerca i Innovació Parc Taulí (I3PT), Universitat Autònoma de Barcelona, Sabadell, Barcelona, España
| | - Jose Manuel Olivares
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Unidad de Psiquiatría, Hospital Álvaro Cunqueiro, Complejo Hospitalario Universitario de Vigo, Instituto Biomédico Galicia Sur, Vigo, Pontevedra, España
| | - Roberto Rodriguez-Jimenez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Psiquiatría, Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), CogPsy-Group, Universidad Complutense de Madrid (UCM), Madrid, España
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España.
| |
Collapse
|