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

Impact of Nurse-Led Digital Education on Perimenopausal Women’s Perception and Practices for Osteoporosis Prevention DOI Creative Commons

Umamaheswari Periyasamy,

Theranirajan Ethiraj,

Shankar Shanmugam Rajendran

et al.

Journal of Pharmacy And Bioallied Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

A BSTRACT Introduction: Osteoporosis represents a significant public health challenge for perimenopausal women, primarily due to hormonal changes, although awareness remains very low. This highlights the need effective education interventions. Digital education, especially those led by nurses, can enhance knowledge and practice through content that is specifically tailored interactive. Objective: study evaluates effectiveness of nurse-led digital program in enhancing osteoporosis prevention practices among women. Results: Using quasi-experimental research design with sample 100 participants, intervention improvements treatment group. Knowledge increased from 32.40% 66.46%, improved 42.40% 73.40%, compared control, which showed fewer changes. Conclusion: The results support use community healthcare address gaps on prevention. Future interventions should consider demographic factors improve effectiveness.

Language: Английский

Citations

0
Exploring emotional climate recognition in peer conversations through bispectral features and affect dynamics DOI Creative Commons
Ghada Alhussein, Mohanad Alkhodari, Ioannis Ziogas

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2025, Volume and Issue: unknown, P. 108695 - 108695

Published: March 1, 2025

Language: Английский

Citations

0
Mobile Health Applications for Self-Management of bone disease with focus on osteoporosis and osteoarthritis: A Systematic Review (Preprint) DOI Creative Commons

Golaleh Karbasi,

Rahimah Ibrahim, Siti Anom Ahmad

et al.

Published: March 13, 2025

BACKGROUND The global aging population is rapidly increasing, with a significant proportion experiencing chronic bone diseases like osteoporosis and osteoarthritis. Mobile health applications (MHAs) have emerged as promising tool for self-management of these conditions. OBJECTIVE This systematic review aimed to evaluate the effectiveness mobile in self-managing diseases, specifically osteoarthritis, by examining their impact on clinical outcomes, patient experiences, identifying research gaps. METHODS Following PRISMA guidelines, comprehensive search was conducted across multiple databases, including Web Science, Scopus, PubMed, Google Scholar. included 18 studies encompassing 1,851 participants, focusing randomized controlled trials, quasi-experimental studies, pre-test post-test research. RESULTS analysis revealed that demonstrate potential managing diseases. Approximately 76% reported improvements pain levels, 94% showed enhanced physical performance. However, identified critical gaps, limited attention social support (only 24% studies) self-efficacy (18% studies). User perceptions were predominantly positive (55.56%), Kaia Hip Knee Pain receiving praise user-friendly interfaces symptom management. CONCLUSIONS show results disease self-management, particularly improving outcomes. future must focus developing more holistic, user-centered approaches address psychological needs, enhance user engagement, conduct rigorous long-term fully realize digital tools.

Language: Английский

Citations

0
Strategies for preventing bone loss in populations with insufficient calcium and vitamin D intake DOI Open Access
Kyung‐Jin Yeum, Se-Young Ju, Uyory Choe

et al.

Nutrition Research and Practice, Journal Year: 2025, Volume and Issue: 19(2), P. 155 - 155

Published: Jan. 1, 2025

Calcium and vitamin D are essential nutrients for maintaining skeletal health, yet deficiencies in these particularly widespread regions such as Asia Africa. Inadequate intake of areas has been associated with diminished bone integrity a rising incidence osteoporosis. This review examines the underlying mechanisms loss driven by calcium deficiencies, emphasizing their crucial roles metabolism. It also presents strategies to improve nutrient intake, fortification staple foods supplementation, along lifestyle modifications including increased physical activity, sun exposure, dietary education, prevent effectively. Special consideration is given vulnerable populations, older adults, individuals limited those restrictions, who at higher risk deficiency. The further evaluates public health strategies, government-initiated educational programs, measures tackling deficiencies. Lastly, it explores future avenues addressing potential role digital tools, personalized nutrition, innovative policies alleviate global burden bone-related diseases.

Language: Английский

Citations

0
A systematic review of menopause apps with an emphasis on osteoporosis DOI Creative Commons
Deborah Paripoorani, Norina Gasteiger, Helen Hawley-Hague

et al.

BMC Women s Health, Journal Year: 2023, Volume and Issue: 23(1)

Published: Sept. 29, 2023

Menopause can significantly hasten bone loss. Mobile phones provide an efficient way to manage, track and understand menopause using apps. A previous review of apps found numerous designed help women manage menopause. However, it did not use validated measures assess the quality focus on content related osteoporosis.This app aligns with updated Preferred Reporting Items for Systematic Reviews Meta-Analysis guidelines. The keywords used search were "menopause" "menopausal". Apps included if they in English, individuals or groups had a lifestyle focus. that looked at other aspects women's health, required external devices, cost download, symptom-tracking excluded. functionality assessed App Rating Scale IMS Institute Healthcare Informatics Functionality score. Data synthesised descriptively.Twenty-eight selected reviewed from 236 screened Apple store Google play store. Only 57% (n = 16) osteoporosis which was educational purpose. readability complex best understood by university graduates. average score 4.57 out 11 is 3.1 5, both need improvement.Existing more input experts improve functionality, simple language. More emphasis specific health problems during menopause, including osteoporosis, required.Not relevant.

Language: Английский

Citations

9
Automatic Gait Classification Model Empowered by Machine Learning for People with and without Osteoporosis Using Smart Walker DOI Creative Commons
Nazia Ejaz, Saad Jawaid Khan, Fahad Azim

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 3874 - 3874

Published: April 30, 2024

Osteoporosis constitutes a significant public health concern necessitating proactive prevention, treatment, and monitoring efforts. Timely identification holds paramount importance in averting fractures alleviating the overall disease burden. The realm of osteoporosis diagnosis has witnessed surge interest machine learning applications. This burgeoning technology excels at recognizing patterns forecasting onset osteoporosis, paving way for more efficacious preventive therapeutic interventions. Smart walkers emerge as valuable tools this context, serving data acquisition platforms datasets tailored to techniques. These datasets, trained discern indicative play pivotal role enhancing diagnostic accuracy. In study, encompassing 40 participants—20 exhibiting robust 20 diagnosed with osteoporosis—data from force sensors embedded handlebars conventional were gathered. A windowing action was used increase size dataset. normalized, k-fold cross-validation applied assess how well our model performs on untrained data. We multiple algorithms create an accurate automatic users’ gait, Random Forest classifier performing best 95.40% To achieve classification accuracy validation dataset, hyperparameters further adjusted training results suggest that learning-based gait parameters could lead accurate, non-laborious, cost-effective, efficient other musculoskeletal disorders. Further research is needed validate these findings.

Language: Английский

Citations

2
Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks DOI
Ghada Alhussein, Mohanad Alkhodari, Ahsan H. Khandoker

et al.

Published: Jan. 1, 2024

Peers' conversation provides a domain of rich emotional information, conveyed not just through facial expressions and gestures, but also their speech itself. This ongoing exchange creates dynamic climate (EC) that influences social interaction behavior, offering valuable insights beyond the content words.Recognition EC could provide an additional source in understating peers' behavior on top actual conversational content.Here, we propose novel approach for speech-based recognition, namely AffECt, by combining complex affect dynamics (AD) with deep features extracted from signals using Temporary Convolutional Neural Networks (TCNNs). AffECt was tested cross-validated data drawn three open datasets, i.e., K-EmoCon, IEMOCAP, SEWA, terms arousal/valence level classification. The experimental results have shown achieves classification accuracy up to 83.3\% 80.2\% arousal valence, respectively, clearly surpassing reported literature, exhibiting robust performance across different languages. Moreover, there is distinct improvement when AD are combined TCNN, compared baseline learning approaches. These demonstrate effectiveness paving way many applications, e.g., patients' group therapy, negotiations, emotion-aware mobile applications.

Language: Английский

Citations

2
A novel fracture liaison service using digital health: impact on mortality in hospitalized elderly osteoporotic fracture patients DOI
Ke Lü, Ya-ming Wu, Qin Shi

et al.

Osteoporosis International, Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 12, 2023

Language: Английский

Citations

5
Effects of an mHealth physical activity intervention to prevent osteoporosis in premenopausal women. A randomized controlled trial DOI
Horacio Sánchez-Trigo, Carol Maher, Job Godino

et al.

Journal of science and medicine in sport, Journal Year: 2023, Volume and Issue: 26(10), P. 545 - 552

Published: Sept. 13, 2023

Language: Английский

Citations

4
Evaluation of an mHealth App on Self-Management of Osteoporosis: Prospective Survey Study DOI Creative Commons
Magnus Bendtsen, Bodil Marie Thuesen Schönwandt, Mette Rubæk

et al.

Interactive Journal of Medical Research, Journal Year: 2024, Volume and Issue: 13, P. e53995 - e53995

Published: Feb. 10, 2024

Background Mobile health (mHealth) technologies can be used for disease-specific self-management, and these are experiencing rapid growth in the care industry. They use mobile devices, specifically smartphone apps, to enhance support medical public practices. In chronic disease management, of apps realm mHealth holds potential improve outcomes. This is also true on osteoporosis, but usage patients’ experiences with underexplored. Objective prospective survey study aimed investigate eHealth literacy Danish patients as well usability acceptability app “My Bones.” Methods Data patient characteristics, knowledge, literacy, usability, were collected using self-administered questionnaires at baseline, 2 months, 6 months. The following validated used: Literacy Questionnaire, System Usability Scale, Service User Technology Acceptability Questionnaire. Results Mean scores ranged from 2.6 3.1, SD ranging 0.5 0.6 across 7 domains. mean (SD) Scale score was 74.7 (14.4), domains 1, 2, Questionnaire 3.4 (1.2), 4.5 (1.1), 4.1 respectively. Conclusions osteoporosis both motivated capable digital services. app’s acceptable, it has reduce visits general practitioner clinics, outcomes, serve a valuable addition regular or social

Language: Английский

Citations

1