Objectives: Implementation of guideline-recommended depression screening in oncology presents numerous challenges. Implementation strategies that are responsive to local context may be critical elements of adoption and sustainment. We evaluated barriers and facilitators to implementation of a depression screening program for breast cancer patients in a community medical oncology setting as part of a cluster randomized controlled trial.
Methods: Guided by the Consolidated Framework for Implementation Research, we employed qualitative methods to evaluate clinician, administrator, and patient perceptions of the program using semi-structured interviews. We used a team-coding approach for the data; thematic development focused on barriers and facilitators to implementation using a grounded theory approach. The codebook was refined through open discussions of subjectivity and unintentional bias, coding, and memo applications (including emergent coding), and the hierarchical structure and relationships of themes.
Results: We conducted 20 interviews with 11 clinicians/administrators and 9 patients. Five major themes emerged: (1) gradual acceptance and support of the intervention and workflow; (2) compatibility with system and personal norms and goals; (3) reinforcement of the value of and need for adaptability; (4) self-efficacy within the nursing team; and (5) importance of identifying accountable front-line staff beyond leadership "champions."
Conclusions: Findings suggest a high degree of acceptability and feasibility due to the selection of appropriate implementation strategies, alignment of norms and goals, and a high degree of workflow adaptability. These findings will be uniquely helpful in generating actionable, real-world knowledge to inform the design, implementation, and sustainment of guideline-recommended depression screening programs in oncology.
Trial Registration: ClinicalTrials.gov #NCT02941614.
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http://dx.doi.org/10.1007/s00520-023-07922-0 | DOI Listing |
Sensors (Basel)
January 2025
Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100084, China.
The objective identification of depression using physiological data has emerged as a significant research focus within the field of psychiatry. The advancement of wearable physiological measurement devices has opened new avenues for the identification of individuals with depression in everyday-life contexts. Compared to other objective measurement methods, wearables offer the potential for continuous, unobtrusive monitoring, which can capture subtle physiological changes indicative of depressive states.
View Article and Find Full Text PDFSensors (Basel)
January 2025
University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia.
Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diagnosis and treatment rates remain low due to its diverse and often overlapping clinical manifestations. In this context, electroencephalography (EEG) has gained attention as a potential objective tool for diagnosing depression. This study aimed to evaluate the effectiveness of EEG in identifying MDD by analyzing 140 EEG recordings from patients diagnosed with depression and healthy volunteers.
View Article and Find Full Text PDFJ Clin Med
January 2025
Faculty of Nursing and Department of Community Health Sciences, Cumming School of Medicine, Alberta Health Services, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada.
Preterm birth, even for moderate or late preterm infants (MLPIs), is associated with longer-term developmental challenges. Family Integrated Care (FICare) models of care, like Alberta FICare, aim to improve outcomes by integrating parents into neonatal care during hospitalization. This follow-up study examined the association between models of care (Alberta FICare versus standard care) and risk of child developmental delay at 18 months corrected age (CA) and explored the influences of maternal psychosocial distress.
View Article and Find Full Text PDFJ Clin Med
January 2025
Graduate School of Health Sciences, Gunma University, Maebashi 371-8514, Japan.
The Beck Depression Inventory-II (BDI-II) is a widely used patient-reported outcome (PRO) tool designed to screen for depressive symptoms and assess their severity. In recent years, with advancements in digital technology, the BDI-II has been adapted for use as an electronic PRO (ePRO) tool. However, to the best of our knowledge, the reliability of the smartphone version of the BDI-II has not been thoroughly investigated.
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