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1.
Digit Health ; 10: 20552076241257082, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39070895

RESUMEN

Introduction: Breast cancer often leads to cancer-related cognitive impairment (CRCI), which includes both objective and subjective cognitive deficits. While psychosocial interventions benefit quality of life and distress reduction, their impact on cognitive deficits is uncertain. This study evaluates the integration of a cognitive module into a digital psychosocial intervention for breast cancer patients. Methods: In this randomized controlled trial (RCT), 88 recently diagnosed breast cancer (BC) patients will receive the ICOnnecta't program (control group) - a digital stepped intervention addressing a variety of psychosocial needs. The experimental group (n = 88) will receive ICOnnecta't plus a cognitive module. Assessments at baseline, 3, 6, and 12 months will measure the interventions' impact on cognition, emotional distress, medication adherence, quality of life, post-traumatic stress, work functioning and healthcare experience. Feasibility and cost-utility analyses will also be conducted. Results: The cognitive module includes three levels. The first level contains a cognitive screening using FACT-Cog Perceived Cognitive Impairment (PCI). Patients with PCI <54 progress to a cognitive psychoeducational campus (Level 2) with content on cognitive education, behavioural strategies and mindfulness. Patients with persistent or worsened PCI (≥6) after 3 months move to Level 3, an online cognitive training through CogniFit software delivered twice a week over 12 weeks. Conclusions: This study assesses whether integrating a cognitive module into a digital psychosocial intervention improves objective and subjective cognition in breast cancer patients. Secondary outcomes explore cognitive improvement's impact on psychosocial variables. The research will contribute to testing efficacious approaches for detecting and addressing cognitive dysfunction in breast cancer patients. Trial registration: ClinicalTrials.gov, NCT06103318. Registered 26 October 2023, https://classic.clinicaltrials.gov/ct2/show/NCT06103318?term=serra-blasco&draw=2&rank=4.

2.
Internet Interv ; 32: 100620, 2023 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-37273934

RESUMEN

Background: Receiving a diagnosis of lung cancer is an emotional event, not least because it is usually diagnosed at advanced stages with limited life expectancy. Although evidence-based educational, emotional, and social interventions exist, they reach few patients and usually when it is too late. Objective: This project will be carried out in a comprehensive center for cancer care and health research, aiming to study the efficacy, costs, and utility of an eHealth ecosystem to meet the psychosocial needs of patients with advanced lung cancer. Method: We will enroll 76 patients with advanced lung cancer into an eHealth ecosystem of stepped and personalized psychosocial care for 9 months. These patients will be compared with another 76 receiving usual care in a non-inferiority randomized controlled trial. The following main outcomes will be measured every 3 months: emotional distress, spirituality, demoralization, quality of life, and medication adherence. Secondary outcomes will include symptomatology, health education, cost-utility analyses, usability and satisfaction with the platform, and time to detect emotional needs and provide care. Baseline differences between groups will be measured with the Student t-test or chi-square test, as appropriate. We will then compare the main outcomes between groups over time using multilevel linear models, report effect sizes (Hedges' g), and assess non-inferiority. The cost-utility of both interventions will be considered in terms of quality adjusted life years and quality of life given the costs of providing each treatment. Discussion: This randomized controlled trial should provide new evidence on the efficacy and cost-utility of an eHealth ecosystem to deliver personalized and timely psychosocial care to patients with advanced lung cancer. Trial registration: ClinicalTrials.gov ID "NCT05497973".

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