Aims: The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) trial tested a collaborative care model including electronic clinical decision support (CDS) for treating diabetes and depression in India. We aimed to assess which features of this clinically and cost-effective intervention were associated with improvements in diabetes and depression measures.
Methods: Post-hoc analysis of the INDEPENDENT trial data (189 intervention participants) was conducted to determine each intervention feature's effect: 1. Collaborative case reviews between expert psychiatrists and the care team; 2. Patient care-coordinator contacts; and 3. Clinicians' CDS prompt modifications. Primary outcome was baseline-to-12-months improvements in diabetes control, blood pressure, cholesterol, and depression. Implementer interviews revealed barriers and facilitators of intervention success. Joint displays integrated mixed methods' results.
Results: High baseline HbA1c≥ 74.9 mmol/mol (9%) was associated with 5.72 fewer care-coordinator contacts than those with better baseline HbA1c (76.8 mmol/mol, 9.18%, p < 0.001). Prompt modification proportions varied from 38.3% (diabetes) to 1.3% (LDL). Interviews found that providers' and participants' visit frequencies were preference dependent. Qualitative data elucidated patient-level factors that influenced number of clinical contacts and prompt modifications explaining their lack of association with clinical outcomes.
Conclusion: Our mixed methods approach underlines the importance of the complementarity of different intervention features. Qualitative findings further illuminate reasons for variations in fidelity from the core model.
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http://dx.doi.org/10.1016/j.pcd.2024.02.001 | DOI Listing |
Sci Rep
December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States.
Background: Anxiety disorders are common in alcohol use disorder (AUD) treatment patients. Such co-occurring conditions ("comorbidity") have negative prognostic implications for AUD treatment outcomes, yet they commonly go unaddressed in standard AUD care. Over a decade ago, we developed and validated a cognitive behavioral therapy intervention to supplement standard AUD care that, when delivered by trained therapists, improves outcomes in comorbid patients.
View Article and Find Full Text PDFHealth Expect
February 2025
Osteopathy Sciences Research Unit (URSO), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Objective: Chronic musculoskeletal pain (CMSP) is frequent in chronic diseases, decreasing the quality of life of these patients. In a survey conducted in Belgium in 2019, chronic pain was named by patients as the main factor of complexity in their lives. The objective of our research was to provide elements to understand why and how CMSP contributes to the complexity of these people's lives.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Except for a few countries, comprehensive all-cause surveillance for bacteremia is not part of mandatory routine public health surveillance. We argue that time has come to include automated surveillance for bacteremia in the national surveillance systems, and explore diverse approaches and challenges in establishing bacteremia monitoring. Assessed against proposed criteria, surveillance for bacteremia should be given high priority.
View Article and Find Full Text PDFBMJ Neurol Open
December 2024
Institute for Health Services Research and Clinical Epidemiology, Philipps University Marburg, Marburg, Germany.
Introduction: People with Parkinson's disease (PwPD) experience a wide range of motor and non-motor symptoms that have a significant impact on their health and quality of life. Effective care management for PwPD involves monitoring symptoms at home, involving specialised multidisciplinary care providers and enhancing self-management skills. This study protocol describes the process evaluation within a randomised clinical trial to assess the implementation and its impact on patient health outcomes of ParkProReakt-a proactive, multidisciplinary, digitally supported care model for community-dwelling PwPD.
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