Autor segons l'article: Ferré-Bergadà Maria; Valls Aida; Raigal-Aran Laia; Lorca-Cabrera Jael; Albacar-Ribóo Nuria; Lluch-Canut Teresa; Ferré-Grau Carme
Departament: Enginyeria Informàtica i Matemàtiques
e-ISSN: 1472-6947
Autor/s de la URV: Albacar Riobóo, Núria Maria / Ferré Bergadà, Maria / Ferré Grau, Carmen / RAIGAL ARAN, LAIA / Valls Mateu, Aïda
Paraules clau: Utility measurement Positive mental health Personalization Mobile health Mental health Health environment Caregivers
Resum: Background: Taking care of chronic or long-term patients at home is an arduous task. Non-professional caregivers suffer the consequences of doing so, especially in terms of their mental health. Performing some simple activities through a mobile phone app may improve their mindset and consequently increase their positivity. However, each caregiver may need support in different aspects of positive mental health. In this paper, a method is defined to calculate the utility of a set of activities for a particular caregiver in order to personalize the intervention plan proposed in the app. Methods: Based on the caregivers’ answers to a questionnaire, a modular averaging method is used to calculate the personal level of competence in each positive mental health factor. A reward-penalty scoring procedure then assigns an overall impact value to each activity. Finally, the app ranks the activities using this impact value. Results: The results of this new personalization method are provided based on a pilot test conducted on 111 caregivers. The results indicate that a conjunctive average is appropriate at the first stage and that reward should be greater than penalty in the second stage. Conclusions: The method presented is able to personalize the intervention plan by determining the best order of carrying out the activities for each caregiver, with the aim of avoiding a high level of deterioration in any factor.
Àrees temàtiques: Saúde coletiva Psicología Medicina ii Medicina i Medical informatics Interdisciplinar Health policy Health informatics Engenharias iv Computer science applications Ciências biológicas i Ciência da computação
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: maria.ferre@urv.cat nuria.albacar@urv.cat nuria.albacar@urv.cat aida.valls@urv.cat carme.ferre@urv.cat
Identificador de l'autor: 0000-0003-2600-1362 0000-0001-8306-8702 0000-0001-8306-8702 0000-0003-3616-7809 0000-0002-5307-1553 0000-0001-5229-0394
Data d'alta del registre: 2024-07-27
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01445-6
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Bmc Medical Informatics And Decision Making. 21 (1): 74-
Referència de l'ítem segons les normes APA: Ferré-Bergadà Maria; Valls Aida; Raigal-Aran Laia; Lorca-Cabrera Jael; Albacar-Ribóo Nuria; Lluch-Canut Teresa; Ferré-Grau Carme (2021). A method to determine a personalized set of online exercises for improving the positive mental health of a caregiver of a chronically ill patient. Bmc Medical Informatics And Decision Making, 21(1), 74-. DOI: 10.1186/s12911-021-01445-6
DOI de l'article: 10.1186/s12911-021-01445-6
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2021
Tipus de publicació: Journal Publications