Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Objective: Beliefs and perceptions about pain intervention effectiveness when initiating a therapy may influence long-term engagement. This study examines how early perceived effectiveness of complementary and integrative health therapies impacts long-term engagement in a pragmatic trial context.
Participants: Veterans with chronic musculoskeletal pain participating in a pragmatic trial of provider-delivered complementary and integrative health therapies (acupuncture, chiropractic care, or massage therapy) used alone compared to combining those therapies with self-care therapies (yoga, Tai Chi/Qigong, or meditation). This analysis focuses on 1713 participants using self-care therapies at baseline.
Setting: 18 Veterans Healthcare Administration Medical Facilities.
Design: Prospective cohort study.
Methods: Predictors of total self-care complementary and integrative health therapy sessions over a 6-month assessment period were assessed using linear regression to determine how strongly perceptions of initial therapy effectiveness was associated with total utilization. Perception of initial therapy effectiveness was assessed at study entry across four domains (pain, mental health, fatigue, and general well-being).
Results: In total, 56% (1032/1713) of Veterans reported a positive perceived effectiveness of their recent complementary and integrative health therapy use at study initiation. Older individuals and those using meditation were more likely to report early positive perceptions. Mean number of therapy sessions over the 6-month study was 11 (range 1 to 168). Early positive perceptions had a small effect on overall use, increasing mean sessions by 2.5 (1.3 to 3.6). Other factors such as recent physical therapy use and distance to primary care explained more variation in total utilization.
Conclusions: Pragmatic pain trials should examine factors associated with engagement across assigned treatment protocols, especially if any of the treatment protocols being tested are sensitive to long-term engagement.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11548863 | PMC |
| http://dx.doi.org/10.1093/pm/pnae070 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Beyond BMI: Practical Guide for Clinicians to Integrate the Lancet Commission's Obesity Framework and King's Obesity Staging System.
Clin Obes
September 2025
Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland.
Body mass index (BMI) on its own is a poor diagnostic and staging tool for obesity because it does not measure health status. The newly published Lancet Clinical Obesity Criteria (LCOC) for defining clinical obesity distinguish preclinical and clinical obesity based on organ or tissue dysfunction. The King's Obesity Staging System (KOSS) goes further and incorporates biomedical, psychosocial, and economic factors while offering a practical, holistic, and health domain-specific assessment of obesity's impact.
View Article and Find Full Text PDFDeciphering cellular heterogeneity: Breakthroughs and prospects of single-cell-level SERS analysis in precision medicine.
Methods
September 2025
Gynaecology and Obstetrics, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Heilongjiang 150081, PR China. Electronic address:
Single-cell surface-enhanced Raman scattering (SERS) has emerged as a powerful tool for precision medicine owing to its label-free detection, ultrasensitivity, and unique molecular fingerprinting. Unlike conventional bulk analysis, it enables detailed characterization of cellular heterogeneity, with particular promise in circulating tumor cell (CTC) identification, tumor microenvironment (TME) metabolic profiling, subcellular imaging, and drug sensitivity assessment. Coupled with microfluidic droplet systems, SERS supports high-throughput single-cell analysis and multiparametric screening, while integration with complementary modalities such as fluorescence microscopy and mass spectrometry enhances temporal and spatial resolution for monitoring live cells.
View Article and Find Full Text PDFLesion Asymmetry Screening Assisted Global Awareness Multi-view Network for Mammogram Classification.
IEEE Trans Med Imaging
September 2025
Mammography is a primary method for early screening, and developing deep learning-based computer-aided systems is of great significance. However, current deep learning models typically treat each image as an independent entity for diagnosis, rather than integrating images from multiple views to diagnose the patient. These methods do not fully consider and address the complex interactions between different views, resulting in poor diagnostic performance and interpretability.
View Article and Find Full Text PDFToward Foundational Model for Sleep Analysis Using a Multimodal Hybrid-Self-Supervised Learning Framework.
IEEE Trans Cybern
September 2025
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective.
View Article and Find Full Text PDFBackground And Aims: Trait-based approaches have advanced our understanding of plant strategies, yet they often focus on leaf-level traits, overlooking the functional roles of stem anatomy and twig characteristics. We investigated intraspecific trait variation in Salix flabellaris, an alpine dwarf shrub, along climatic gradients in the Himalayas. Our goal was to identify distinct axes of trait variation related to stem, twig, and leaf traits, assess their environmental drivers, and evaluate population-specific growth responses to recent climate change.
View Article and Find Full Text PDF