An Internet-delivered Cognitive-Behavioral Therapy (iCBT) for Prolonged Grief Disorder (PGD) in adults: A multiple-baseline single-case experimental design study
Resumen: The death of a loved one has physical, psychological, and social consequences. Between 9.8 and 21.5 % of people who lose a loved one develop Prolonged Grief Disorder (PGD). Internet- and computer-based interventions (i.e., Internet-delivered Cognitive-Behavioral Therapy, iCBT) are cost-effective and scalable alternatives that make it possible to reach more people with PGD. The main goal of the present investigation was to examine the effect and feasibility (usability and satisfaction) of an iCBT (GROw program) for adults with PGD. A secondary objective was to detect adherence to the app (Emotional Monitor) used to measure daily grief symptoms. The study had a single-case multiple-baseline AB design with six participants. The GROw program is organized sequentially in eight modules, and it is based on the dual-process model of coping with bereavement. Evaluations included a pre-to-post treatment assessment of depression, grief symptoms, and typical grief beliefs, along with daily measures of symptom frequency and intensity on the Emotional Monitor App. Treatment opinions and adherence to the App were also collected. Efficacy data were calculated using a Nonoverlap of All Pairs (NAP) analysis and Reliable Change Index (RCI). The mean age of the sample was 29.5 years (SD = 8.19). Two participants dropped out of the study. Adherence to the App varied across patients (4.8 % -77.8 %). Most participants (75 %) showed a clinically significant change (recovered) in depression, and 50 % obtained a clinically significant improvement (recovered) in symptoms of loss and typical beliefs in complicated grief. The participants reported high usability and satisfaction with the treatment content and format. In sum, the GROw program was very well accepted and generally feasible, and it has strong potential for treating PGD. The results support scaling up the treatment by using more complex designs with larger samples (i.e., randomized controlled trials comparing GROw with active conditions). © 2022 The Authors
Idioma: Inglés
DOI: 10.1016/j.invent.2022.100558
Año: 2022
Publicado en: INTERNET INTERVENTIONS-THE APPLICATION OF INFORMATION TECHNOLOGY IN MENTAL AND BEHAVIOURAL HEALTH 29 (2022), 100558 [11 pp]
ISSN: 2214-7829

Factor impacto JCR: 4.3 (2022)
Categ. JCR: HEALTH CARE SCIENCES & SERVICES rank: 25 / 106 = 0.236 (2022) - Q1 - T1
Categ. JCR: PSYCHOLOGY, CLINICAL rank: 28 / 131 = 0.214 (2022) - Q1 - T1
Categ. JCR: PSYCHIATRY rank: 61 / 154 = 0.396 (2022) - Q2 - T2
Categ. JCR: MEDICAL INFORMATICS rank: 13 / 31 = 0.419 (2022) - Q2 - T2

Factor impacto CITESCORE: 6.0 - Medicine (Q1)

Factor impacto SCIMAGO: 1.033 - Health Informatics (Q2)

Financiación: info:eu-repo/grantAgreement/ES/ISCIII/CB06-03-0052
Financiación: info:eu-repo/grantAgreement/ES/MCIU/RTI2018-100993-B-100
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Psicolog.Evolut.Educac (Dpto. Psicología y Sociología)

Creative Commons Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. No puede utilizar el material para una finalidad comercial. Si remezcla, transforma o crea a partir del material, no puede difundir el material modificado.


Exportado de SIDERAL (2024-03-18-14:40:42)


Visitas y descargas

Este artículo se encuentra en las siguientes colecciones:
Artículos



 Registro creado el 2022-10-06, última modificación el 2024-03-19


Versión publicada:
 PDF
Valore este documento:

Rate this document:
1
2
3
 
(Sin ninguna reseña)