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Patient-reported impact of symptoms in schizophreniascale (PRISS): Development and validation

Moreno Küstner, Berta; Fábrega-Ruz, Julia; GONZALEZ-CABALLERO, JUAN-LUIS; Reyes-Martin, Sara; Ochoa, Susana; ROMERO LOPEZ-ALBERCA, CRISTINA; Vila-Badia, Regina; FRIGOLA-CAPELL, EVA; Salvador-Carulla, Luis; CID COLOM, JORDI (John Wiley & Sons, 2022-06)

Integrated psychological intervention programme for frontline healthcare workers during the COVID-19 pandemic. A qualitative study

FRIGOLA-CAPELL, EVA; Fàbregas, Laura; Juanola Angelats, Marta ; Soms Casals, Mercè; Hernàndez-Ferràndiz, Marta; GRAU RIBERA, ROSER; Alarcón, Noelia; Colomer, Neus; Cuartero, Andrés; Garcia, JORDI; CID COLOM, JORDI (Associació Catalana de Salut Laboral, 2024-04-15)

Smartfeeding: A Dynamic Strategy to Increase Nutritional Efficiency in Critically Ill Patients-Positioning Document of the Metabolism and Nutrition Working Group and the Early Mobilization Working Group of the Catalan Society of Intensive and Critical Care Medicine (SOCMiC)

Yébenes, Juan Carlos; Martínez de Lagrán, Itziar; Navas-Moya, Elisabeth; Lorencio, Carol; Lopez-Delgado, Juan Carlos; Bordeje, Mª Luisa (MDPI, 2024-04-13)

Assessment of Standardized Care Plans for People with Chronic Diseases in Primary Care Settings

Reig , Glòria; Cámara-Liebana, David; Suñer Soler, Rosa; Pau-Perich, Eva; Sitjar Suñer, Miquel; MANTAS JIMÉNEZ, SUSANA (MDPI, 2024-03-29)

Identifying non‐adult attention‐deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system

Roche, David; Mora, Toni; CID COLOM, JORDI (Wiley, 2023-09-18)

Scientia. Department of Health Digital Information Depot

IAS - Articles científics: Recent submissions

Patient-reported impact of symptoms in schizophreniascale (PRISS): Development and validation

Integrated psychological intervention programme for frontline healthcare workers during the COVID-19 pandemic. A qualitative study

Smartfeeding: A Dynamic Strategy to Increase Nutritional Efficiency in Critically Ill Patients-Positioning Document of the Metabolism and Nutrition Working Group and the Early Mobilization Working Group of the Catalan Society of Intensive and Critical Care Medicine (SOCMiC)

Assessment of Standardized Care Plans for People with Chronic Diseases in Primary Care Settings

Identifying non‐adult attention‐deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system

Scientia. Department of Health Digital Information Depot

IAS - Articles científics: Recent submissions

Patient-reported impact of symptoms in schizophreniascale (PRISS): Development and validation ﻿

Integrated psychological intervention programme for frontline healthcare workers during the COVID-19 pandemic. A qualitative study ﻿

Smartfeeding: A Dynamic Strategy to Increase Nutritional Efficiency in Critically Ill Patients-Positioning Document of the Metabolism and Nutrition Working Group and the Early Mobilization Working Group of the Catalan Society of Intensive and Critical Care Medicine (SOCMiC) ﻿

Assessment of Standardized Care Plans for People with Chronic Diseases in Primary Care Settings ﻿

Identifying non‐adult attention‐deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system ﻿

Patient-reported impact of symptoms in schizophreniascale (PRISS): Development and validation

Integrated psychological intervention programme for frontline healthcare workers during the COVID-19 pandemic. A qualitative study

Smartfeeding: A Dynamic Strategy to Increase Nutritional Efficiency in Critically Ill Patients-Positioning Document of the Metabolism and Nutrition Working Group and the Early Mobilization Working Group of the Catalan Society of Intensive and Critical Care Medicine (SOCMiC)

Assessment of Standardized Care Plans for People with Chronic Diseases in Primary Care Settings

Identifying non‐adult attention‐deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system