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

Technologies in Home-Based Digital Rehabilitation: Scoping Review DOI Creative Commons
A.R. Arntz, F. Parkes Weber, Marietta Handgraaf

et al.

JMIR Rehabilitation and Assistive Technologies, Journal Year: 2023, Volume and Issue: 10, P. e43615 - e43615

Published: May 25, 2023

Background Due to growing pressure on the health care system, a shift in rehabilitation home settings is essential. However, efficient support for home-based lacking. The COVID-19 pandemic has further exacerbated these challenges and affected individuals professionals during rehabilitation. Digital (DR) could To develop implement DR solutions that meet clients’ needs ease it necessary provide an overview of existing, relevant, future shaping constantly evolving market technologies DR. Objective In this scoping review, we aimed identify digital DR, predict new or emerging trends, report influences Methods review followed framework Arksey O’Malley, with improvements made by Levac et al. A literature search was performed PubMed, Embase, CINAHL, PsycINFO, Cochrane Library. spanned January 2015 2022. bibliometric analysis included references, co-occurrence identified full-text all reviews filtered trends gray supplemented results revealed development Results total 2437 records were 95 analysis, 40 as result search. Sensors, robotic devices, gamification, virtual augmented reality, mobile apps are already used DR; however, artificial intelligence machine learning, exoskeletons, represent trends. Advantages disadvantages displayed technologies. led increased use remote approaches but not Conclusions Multiple tools available implemented some face limitations application learning be instrumental redesigning addressing sector particular. show need feasible effective adhere conditions, regardless exceptional situations such pandemic.

Language: Английский

Citations

38
Self-management of everyday female health: The role of self-care agency, patient-centered communication, and technology features in the intention to adopt period-tracking apps DOI
Qiwei Wu, Elizabeth Babin Pask

Social Science & Medicine, Journal Year: 2025, Volume and Issue: 370, P. 117851 - 117851

Published: Feb. 14, 2025

Language: Английский

Citations

1
The Added Value of Face-to-Face Supervision to a Therapeutic Exercise-Based App in the Management of Patients with Chronic Low Back Pain: A Randomized Clinical Trial DOI Creative Commons
José Javier López-Marcos, María José Díaz‐Arribas, Juan Antonio Valera‐Calero

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(2), P. 567 - 567

Published: Jan. 16, 2024

Low back pain (LBP) is a significant global health challenge due to its high prevalence, and chronicity recurrence rates, with projections suggesting an increase in the next years population growth aging. The chronic recurrent nature of LBP, responsible for percentage lived disability, underscores need effective management strategies, including self-management strategies advocated by current guidelines, empower patients potentially improve healthcare efficiency clinical outcomes. Therefore, aim this study was analyze added value face-to-face visits LBP undergoing program based on therapeutic exercises intensity, quality life treatment adherence satisfaction. A randomized trial conducted, allocating 49 into experimental group mobile (mHealth) app usage sessions active control without sessions. Pain disability were assessed at baseline, 4 weeks postintervention 12 postintervention. Patients' satisfaction end study. multivariate general model revealed no statistically time × interaction any outcome (

Language: Английский

Citations

5
Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses DOI Creative Commons

Shufang Sun,

Otto Simonsson, Stephen T. McGarvey

et al.

The Lancet Digital Health, Journal Year: 2024, Volume and Issue: 6(11), P. e857 - e870

Published: Sept. 26, 2024

Language: Английский

Citations

5
Influence of the intelligent knee osteoarthritis lifestyle app (iKOALA) on knee joint pain DOI Creative Commons
R. Stevenson, Enhad A. Chowdhury,

J. J. A. Lobo

et al.

BMC Musculoskeletal Disorders, Journal Year: 2024, Volume and Issue: 25(1)

Published: Jan. 24, 2024

Abstract Background The intelligent knee osteoarthritis lifestyle app (iKOALA) has been co-developed with target users to extend the support for physical activity (PA) and musculoskeletal health, beyond short-term structured rehabilitation, using personalised PA guidance, education, social support. purpose of this study was assess preliminary effectiveness usability iKOALA digital intervention on indices (MSK) symptoms, levels in a broad range individuals (KOA) over 12 weeks inform design larger randomised controlled trial. Methods Thirty-eight (33 female) participants living UK mean (SD) age 58 (± 9) years diagnosed radiographically or clinically KOA completed 12-week user trial iKOALA. Participants an in-app questionnaire which intelligently recommended suitable strengthening aerobic based activities individuals. Throughout trial, wore monitor were given access functions within (physical reminders, information symptom tracking as well forums) them maintaining their plan. MSK chronic symptoms quality life (MSK-HQ) acute (confidence, fatigue, mood, pain during day/night, sleep ability walk) week prior starting following completion Results Physical consistent total daily steps 9102 3514) 1, 9576 4214) 6 9596 3694) 12. Group changes all scores MSK-HQ (pre 33.1 (7.6) vs. post 40.2 (7.6)) score improved significantly ( p < .001, 95% CI [-8.89, -5.16]) period. Conclusions maintained at high level throughout weeks. Significant improvements also observed. Efforts ensure more generalised reach amongst sex socioeconomic status clinical are warranted.

Language: Английский

Citations

4
Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity DOI Open Access
Giulia Di Martino, Carlo della Valle, Marco Centorbi

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2024, Volume and Issue: 21(2), P. 233 - 233

Published: Feb. 16, 2024

The rapid evolution of technologies is a key innovation in the organisation and management physical activities (PA) sports. increase benefits opportunities related to adoption for both promotion healthy lifestyle chronic diseases evident. In field telehealth, these devices provide personalised recommendations, workout monitoring injury prevention. study aimed an overview landscape technology application PA organised promote active lifestyles improve disease management. This review identified specific areas focus selection articles: utilisation mobile APPs technological enhancing weight loss, improving cardiovascular health, managing diabetes cancer preventing osteoporosis cognitive decline. A multifactorial intervention delivered via APPs, which integrates while diet or promoting social interaction, unquestionably more effective than singular intervention. main finding through app usage associated with “behaviour change techniques”. Even when individuals stop using APP, they often maintain structured suggested habits initially provided by APP. Various concerns regarding excessive use need be addressed.

Language: Английский

Citations

4
Digital Health Technologies for Metabolic Disorders in Older Adults: A Scoping Review Protocol DOI Creative Commons
Panitda Huynh, Elgar Fleisch, Michael Brändle

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 27, 2024

Abstract Introduction Metabolic disorders (type 2 diabetes, insulin resistance, hyperglycemia, obesity, hyperlipidemia, hypertension, nonalcoholic fatty liver disease, and metabolic syndrome) are leading causes of mortality disability worldwide disproportionately affect older adults relative to those younger. Digital health technologies (DHTs), such as patient monitoring, digital diagnostics, therapeutics, emerge promising tools for navigating in day-to-day life. However, their role targeting disorders, particularly among a key demographic adults, is not yet fully understood. Thus, this work aims scope the use DHTs managing adults. Methods Analysis We will conduct scoping review following recommended framework by Arksey O’Malley (1). Our search focus on three primary concepts: DHTs, plan five online databases—Cochrane, Embase, PubMed, Scopus, Web Science—to identify original research articles published between January 2014 2024. Two reviewers independently screen inclusion based predetermined criteria, separate reviewer resolve conflicts. Data be extracted using standardized form, findings synthesized reported qualitatively quantitatively. Ethics dissemination No ethics approval required protocol review, data used only from studies with appropriate approval. Results disseminated peer-reviewed publication. This has been preregistered OSF Repository at: https://osf.io/9s8fm . Strengths limitations study To our knowledge, first landscape apply DHT Ecosystem Categorization more overview empirical literature across multiple databases follow rigorous reporting guidelines. Consistent nature reviews, does include an assessment quality included studies, involves English, non-peer reviewed industry reports, which may also provide relevant information. Since pre-existing definition focuses various pre-defined major conditions, there exists possibility that we comprehensively capture all possible instances

Language: Английский

Citations

4
Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review DOI Creative Commons
Peter Lee, Heepyung Kim, M. Sami Zitouni

et al.

JMIR mhealth and uhealth, Journal Year: 2022, Volume and Issue: 10(11), P. e40797 - e40797

Published: Nov. 15, 2022

As a form of the Internet Things (IoT)-gateways, smart helmet is one core devices that offers distinct functionalities. The development helmets connected to IoT infrastructure helps promote health and safety in various fields. In this regard, we present comprehensive analysis technology its main characteristics applications for safety.

Language: Английский

Citations

18
Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach DOI Creative Commons
Sofia B. Dias,

Y. Oikonomidis,

José Alves Diniz

et al.

Frontiers in Nutrition, Journal Year: 2022, Volume and Issue: 9

Published: July 1, 2022

The ubiquitous nature of smartphone ownership, its broad application and usage, along with interactive delivery timely feedback are appealing for health-related behavior change interventions via mobile apps. However, users' perspectives about such apps vital in better bridging the gap between their design intention effective practical usage. In this vein, a modified technology acceptance model (mTAM) is proposed here, to explain relationship when using an AI-based app personalized nutrition healthy living, namely, PROTEIN, mTAM constructs toward physical activity habits. particular, online survey data from 85 users PROTEIN within period 2 months were subjected confirmatory factor analysis (CFA) regression (RA) reveal constructs, i.e., perceived usefulness (PU), ease use (PEoU), novelty (PN), personalization (PP), usage attitude (UA), (UI) (BC), as expressed acceptance/rejection six related hypotheses (H1-H6), respectively. resulted CFA-related parameters, loading (FL) p-value, average variance extracted (AVE), composite reliability (CR), RA results, have shown that all H1-H6 can be accepted (p < 0.001). it was found that, cases, FL > 0.5, CR 0.7, AVE indicating items/constructs framework good convergent validity. Moreover, adjusted coefficient determination (R2) range 0.224-0.732, justifying positive effect PU, PEoU, PN, PP on UA, turn positively affects UI, leading BC. Additionally, hierarchical RA, significant prediction BC UA UI used mediating variable identified. explored provides means explaining role each construct functionality supportive tool improve living by adopting dietary findings herein offer insights references formulating new strategies policies collaboration among designers, developers, scientists, nutritionists, activity/exercise physiology experts, marketing experts design/development change.

Language: Английский

Citations

17
Self-management in heart failure using mHealth: A content validation DOI Creative Commons
Martina Fernández‐Gutiérrez, Pilar Bas‐Sarmiento, Antonio Jesús Marín Paz

et al.

International Journal of Medical Informatics, Journal Year: 2023, Volume and Issue: 171, P. 104986 - 104986

Published: Jan. 6, 2023

To describe the development of a mobile health application -mICardiApp- designed by multidisciplinary professional team and patients with heart failure to evaluate its content validity.Critical reviews literature, semi-structured interviews patients, user stories guided application. These contents were refined validated through modified Delphi process. An expert panel healthcare social care professionals together academics evaluated two validity indicators, relevance, adequacy, provided narrative feedback. The app each screen was determined calculating Content Validity Index (CVI). Similarly, Adequacy (AI) analyzed.The developed is composed 8 topics: (1) available resources, (2) cardiac rehabilitation, (3) control signs symptoms, (4) emotional support, (5) learning having fun, (6) medication, (7) nutrition, (8) physical activity. results demonstrated high CVI screens full app. 57 59 in reached an excellent ≥ 0.70 for both relevance except 2 screens. Average Method 0.851.mICardiApp presented as improve literacy self-management multimorbidity failure, proven validation.

Language: Английский

Citations

11