The Web-Based Pain-at-Work Toolkit With Telephone Support for Employees With Chronic or Persistent Pain: Protocol for a Cluster Randomized Feasibility Trial DOI Creative Commons
Holly Blake, Wendy J Chaplin, Elaine Wainwright

et al.

JMIR Research Protocols, Journal Year: 2023, Volume and Issue: 12, P. e51474 - e51474

Published: Oct. 30, 2023

Background Chronic or persistent pain affects one’s ability to work be productive at work, generating high societal and economic burden. However, the provision of work-related advice support for people with chronic is variable lacking. The Pain-at-Work (PAW) Toolkit was cocreated who live pain, health care professionals, employers. It aims increase knowledge about employee rights how access managing a painful condition in workplace provides on lifestyle behaviors that facilitate management pain. Objective We aimed establish feasibility conducting definitive cluster randomized controlled trial comparing PAW telephone calls from an occupational therapist treatment as usual (ie, standard their employer). Our primary outcomes are establishing parameters feasibility, acceptability, usability, safety this digital intervention. will assess candidate secondary outcomes’ test research processes trial. Methods This open-label, parallel 2-arm pragmatic exploratory economics analysis nested qualitative interview study. aim recruit 120 participants least 8 clusters (any type, >10 employees) England. recruitment workplaces occurs via personal approach, individual web based. Eligible vocationally active adults aged ≥18 years internet self-reporting interfering undertake enjoy work. A restricted 1:1 cluster-level randomization used allocate employment settings usual; unblinded group allocation. Following site- individual-level consent, complete web-based baseline survey (time 0), including measures capacity, well-being, resource use. Follow-up performed 3 months 1) 6 2). Feasibility relate recruitment; intervention fidelity (eg, delivery, reach, uptake, engagement); retention; follow-up. Qualitative evaluation 2) mapped Capability, Opportunity, Motivation–Behavior model explore acceptability employees employers, along contextual factors influencing delivery uptake Results Ethics approval obtained March 2023. Trial began June Conclusions first evidence-based supporting self-management study inform design trial, sample size estimation, approaches site identification, selection, final model. Findings future Registration ClinicalTrials.gov NCT05838677; https://clinicaltrials.gov/study/NCT05838677 International Registered Report Identifier (IRRID) DERR1-10.2196/51474

Language: Английский

Rural-Urban Disparities in Mobile Health Application Ownership and Utilization Among Cancer Survivors DOI
Asos Mahmood, Aisha Mahmood, Satish Kedia

et al.

Medical Care, Journal Year: 2024, Volume and Issue: 63(2), P. 111 - 116

Published: Nov. 8, 2024

Objective: Mobile health applications (mHealth apps) can provide care and health-promoting information while contributing to improving cancer survivors’ quality of life outcomes. However, little is known about the rural-urban distribution mHealth app ownership utilization. In this study, we explore characteristics survivors who own use apps examine disparities in utilization among survivors. Methods: We utilized data from “Health Information National Trends Survey–Surveillance, Epidemiology, End Results” pilot fielded 3 U.S. registries (Iowa, New Mexico, California) 2021. Our sample included 942 reported owning a smart device (a smartphone and/or tablet computer). The analyses computing weighted proportions fitting multivariable regression model. Results: Overall, 60.3% using apps, 16.9% resided rural areas. Approximately 45.0% utilizing (vs 63.5% urban survivors). Regression analysis revealed that had 46.0% lower odds compared with their counterparts (adjusted ratio = 0.54; 95% CI: 0.36, 0.80). Conclusions: Rural were less likely usually face structural system-related barriers access affordability. Leveraging technology as tool could potentially contribute delivery for survivors, help address existing informational access.

Language: Английский

Citations

1

Implant Design and Its Applications in the Fixation of Osteoporotic Bones: Newer Technologies in Nails, Plates and External Fixators DOI Creative Commons
Srinivas B. S. Kambhampati, Senthilvelan Rajagopalan, Vineet Thomas Abraham

et al.

Indian Journal of Orthopaedics, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 2, 2024

Osteoporosis, characterised by decreased bone mass and degradation of tissue, poses a major global health concern, particularly for the ageing population. The traditional fixation techniques often fail in osteoporotic bones due to their diminished density strength. Technological advancements orthopaedic implants, specifically nails, plates, external fixators, have emerged address these challenges. Improvements implant design focus on material properties, surface modifications, geometric advancements. Titanium its alloys are favoured biomechanical properties such as lower elastic modulus high strength-to-weight ratio. biodegradable materials like polylactic acid magnesium offer advantage gradual resorption heals. Surface coatings with bioactive drug-eluting surfaces, promote osseointegration enhance Intramedullary (IM) nails evolved stability minimise complications associated fractures. Third fourth-generation incorporate treatments better integration healing. advances screw design, locking mechanisms, flexible axial stimulation improved allowed micromotion, which promotes fracture use complex fractures bones, offers less invasive treatment options adaptable stiffness innovations materials, surgical significantly management Newer technologies, including 3D printing, virtual augmented reality, artificial intelligence, show promise enhancing customization, planning, postoperative outcomes. However, further clinical validation research needed expand applications.

Language: Английский

Citations

1

A participatory process to design an app to improve adherence to anti-osteoporotic therapies: A development and usability study DOI Creative Commons
Alessandra Angelucci, Benedetta Pongiglione, Sara Bernasconi

et al.

Digital Health, Journal Year: 2023, Volume and Issue: 9

Published: Jan. 1, 2023

The aim of the study was to develop an app improve patients' adherence therapy for osteoporosis and test its usability.In Phase I, functions needed medication were identified through a focus group with six patients joint interview two bone specialists. prototype then developed (Phase II) refined after feasibility testing III) 13-25 days by eight patients. Finally, underwent usability IV) 6 months nine other mHealth App Usability Questionnaire (MAUQ) used collect assessment 17 patients.The final version provided information on osteoporosis, allowed contact specialist additional consultation, generated reminder taking medications accompanied feedback adherence. positive but evaluations differed between testing, former displaying significantly (p ≤ .05) better across all MAUQ items.In this study, we tested improving medical therapies in osteoporosis. revealed lower "patient-centered" performance as compared that observed during phase. Future developments include increasing cohort adding technical support testing.

Language: Английский

Citations

3

Deep Bispectral Analysis of Conversational Speech Towards Emotional Climate Recognition DOI
Ghada Alhussein, Mohanad Alkhodari, Ahsan H. Khandoker

et al.

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Journal Year: 2023, Volume and Issue: unknown, P. 170 - 175

Published: Sept. 12, 2023

Peers' conversational speech plays a significant role in shaping the emotional climate (EC) during interactions. Machine-based recognition of EC provides insights into perception conversations by both peers and external observers. In this paper, we propose DeepBispec, novel approach for using deep bispectral analysis. DeepBispec applies windowed analysis to 1D signal. By capturing higher-order spectral correlations, bispectrum magnifies nonlinear characteristics present signals. The estimated $\mathbf{2D}$ -bispectrum magnitude contours, representing these interactions, are transformed colored images fed convolutional neural network (CNN). CNN learns features from enabling it predict valence (V) arousal (A) labels associated with EC. Evaluating on K- EmoCon dataset 10-fold cross-validation, achieve an accuracy 0.789 (A)/0.771 (V), F1 score 0.850 (A)/0.836 area under curve (AUC) 0.812 (A)/0.788 (V). These results surpass existing benchmarks, demonstrating effectiveness improving recognition. introduces innovative analyzing enhanced leveraging CNN, uncovers correlations dynamics This contributes deeper understanding valuable perception.

Language: Английский

Citations

2

The Web-Based Pain-at-Work Toolkit With Telephone Support for Employees With Chronic or Persistent Pain: Protocol for a Cluster Randomized Feasibility Trial DOI Creative Commons
Holly Blake, Wendy J Chaplin, Elaine Wainwright

et al.

JMIR Research Protocols, Journal Year: 2023, Volume and Issue: 12, P. e51474 - e51474

Published: Oct. 30, 2023

Background Chronic or persistent pain affects one’s ability to work be productive at work, generating high societal and economic burden. However, the provision of work-related advice support for people with chronic is variable lacking. The Pain-at-Work (PAW) Toolkit was cocreated who live pain, health care professionals, employers. It aims increase knowledge about employee rights how access managing a painful condition in workplace provides on lifestyle behaviors that facilitate management pain. Objective We aimed establish feasibility conducting definitive cluster randomized controlled trial comparing PAW telephone calls from an occupational therapist treatment as usual (ie, standard their employer). Our primary outcomes are establishing parameters feasibility, acceptability, usability, safety this digital intervention. will assess candidate secondary outcomes’ test research processes trial. Methods This open-label, parallel 2-arm pragmatic exploratory economics analysis nested qualitative interview study. aim recruit 120 participants least 8 clusters (any type, >10 employees) England. recruitment workplaces occurs via personal approach, individual web based. Eligible vocationally active adults aged ≥18 years internet self-reporting interfering undertake enjoy work. A restricted 1:1 cluster-level randomization used allocate employment settings usual; unblinded group allocation. Following site- individual-level consent, complete web-based baseline survey (time 0), including measures capacity, well-being, resource use. Follow-up performed 3 months 1) 6 2). Feasibility relate recruitment; intervention fidelity (eg, delivery, reach, uptake, engagement); retention; follow-up. Qualitative evaluation 2) mapped Capability, Opportunity, Motivation–Behavior model explore acceptability employees employers, along contextual factors influencing delivery uptake Results Ethics approval obtained March 2023. Trial began June Conclusions first evidence-based supporting self-management study inform design trial, sample size estimation, approaches site identification, selection, final model. Findings future Registration ClinicalTrials.gov NCT05838677; https://clinicaltrials.gov/study/NCT05838677 International Registered Report Identifier (IRRID) DERR1-10.2196/51474

Language: Английский

Citations

2