Showing 161 - 178 results of 178 for search '"mobile apps"', query time: 0.07s Refine Results
  1. 161

    Tracking Persistent Symptoms in Scotland (TraPSS): a longitudinal prospective cohort study of COVID-19 recovery after mild acute infection by Jane Ormerod, Nicholas F Sculthorpe, Marie McLaughlin, Luke Cerexhe, Eilidh Macdonald, Antonio Dello Iacono, Nilihan E M Sanal-Hayes, Joanne Ingram, Rachel Meach, David Carless, Lawrence D Hayes

    Published 2025-01-01
    “…To understand the complexity of Long-COVID, the importance of symptom surveillance and prospective longitudinal studies is evident.Methods A 9-month longitudinal prospective cohort study was conducted within Scotland (n=287), using a mobile app to determine the proportion of recovered individuals and those with persistent symptoms and common symptoms, and associations with gender and age.Results 3.1% of participants experienced symptoms at month 9, meeting the criteria for Long-COVID, as defined by the National Institute for Health and Care Excellence terminology. …”
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  2. 162
  3. 163

    Associations between physical exercise patterns and pain symptoms in individuals with endometriosis: a cross-sectional mHealth-based investigation by Ipek Ensari, Suzanne Bakken, Sharon Lipsky-Gorman, Emma N Horan, Noémie Elhadad

    Published 2022-07-01
    “…We also examined whether an individual’s typical weekly (ie, habitual) exercise frequency influences (ie, moderates) the relationship between their pain symptoms on a given day (day t) and previous-day (day t-1) exercise.Participants The sample included 90 382 days of data from 1009 participants (~85% non-Hispanic white) living with endometriosis across 38 countries.Study design This was an observational, retrospective study conducted using data from a research mobile app (Phendo) designed for collecting self-reported data on symptoms and self-management of endometriosis.Primary outcome measures The two primary outcomes were the composite day-level pain score that includes pain intensity and location, and the change in this score from previous day (Δ-score). …”
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  4. 164

    Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

    Published 2020-07-01
    “…Further, each additional reward and higher engagement with a mobile app is likely to have a positive total effect on increasing the adherence rate. …”
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  5. 165

    Análise do Conteúdo de Aplicativos Móveis Brasileiros Voltados ao Controle da Pressão Arterial: Uma Busca Sistemática by Eduardo Braghini Johann, Marcelo Baggio, Nicolle Abreu Pauli, Artur Dilli, Rafael Teixeira Ilkiu, Raphael Mendes Ritti-Dias, Aline Mendes Gerage

    Published 2025-02-01
    “…Três revisores independentes analisaram os apps usando a escala de cinco pontos MARS (Mobile App Rating Scale), e também quanto à presença de ferramentas e conteúdos sobre controle da hipertensão. …”
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  6. 166
  7. 167

    Digital Twin Technology in Resolving Polycystic Ovary Syndrome and Improving Metabolic Health: A Comprehensive Case Study by Paramesh Shamanna, MD, Anuj Maheshwari, MD, Ashok Keshavamurthy, MD, Sanjay Bhat, DM, Abhijit Kulkarni, DM, Shivakumar R, MD, Kumar K, MD, Mukulesh Gupta, MD, Mohamed Thajudeen, MD, Ranjita Kulkarni, MD, Shashikiran Patil, MD, Shashank Joshi, DM

    Published 2025-01-01
    “…She was enrolled in the Digital Twin (DT) platform, which uses artificial intelligence and Internet of Things to deliver personalized nutrition by predicting postprandial glucose responses and suggesting alternative foods with lower postprandial glucose response through a mobile app. After 360 days, significant improvements were observed. …”
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  8. 168

    A systematic review of impact of person-centred interventions for serious physical illness in terms of outcomes and costs by Richard Harding, Sridhar Venkatapuram, Alessandra Giusti, Ruwayda Petrus, Liz Gwyther, Lindsay Farrant, I Petersen, Amelia Cook, Kennedy Bashan Nkhoma

    Published 2022-07-01
    “…Some studies reported that interventions had effect in reduction hospital admissions, improving quality of life and reducing costs of care.Technology-based interventions: consisted of mobile phone, mobile app, tablet/computer and video. Although some interventions showed improvements for self-efficacy, hospitalisations and length of stay, quality of life did not improve across most studies.Discussion PCC interventions using self-management have some effects in reducing costs of care and improving quality of life. …”
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  9. 169

    A personal sensing technology enabled service versus a digital psychoeducation control for primary care patients with depression and anxiety: a pilot randomized controlled trial by Colleen Stiles-Shields, Karen M. Reyes, Tanvi Lakhtakia, Shannon R. Smith, Olga E. Barnas, Elizabeth L. Gray, Charles J. Krause, Kaylee P. Kruzan, Mary J. Kwasny, Zara Mir, Sameer Panjwani, Steven K. Rothschild, Lisa Sánchez-Johnsen, Nathan W. Winquist, Emily G. Lattie, Nicholas B. Allen, Madhu Reddy, David C. Mohr

    Published 2024-11-01
    “….), informed by behavioral activation and using passive sensing technology to provide behavioral “insights” and target behaviors associated with mental health symptoms, alongside lay-provider coaching, or (2) Control: the Mood Education mobile app (ME), containing static psychoeducational resources designed to target mental health symptoms. …”
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  10. 170

    Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study by Jian Rong, Chathurangi H Pathiravasan, Yuankai Zhang, Jamie M Faro, Xuzhi Wang, Eric Schramm, Belinda Borrelli, Emelia J Benjamin, Chunyu Liu, Joanne M Murabito

    Published 2024-12-01
    “…We calculated standardized scores for the PROMIS surveys. The Mobile App Rating Scale (MARS) was deployed 30 days after enrollment to obtain participant feedback on app functionality and aesthetics. …”
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  11. 171

    Mobile-based in-home telerehabilitation compared with in-hospital face-to-face rehabilitation for elderly patients after total hip arthroplasty in China's level 1 trauma center: a... by Yang Zhou, Yiming Lyu, Qiaojie Wang, Yanhong Ma, Lihua Huang, Xin Zhang, Xin Zhang

    Published 2025-01-01
    “…The intervention consisted of a 12-week home-based rehabilitation program with video instructions and remote coaching on a mobile APP (TELE group). The PT group received a standard in-hospital rehabilitation intervention assisted by a physical therapist for one month and outpatient clinic for the next two months. …”
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  12. 172

    Reflections of Foster Youth Engaging in the Co-Design of Digital Mental Health Technology: Duoethnography Study by Ifunanya Ezimora, Tylia Lundberg, Dylan Miars, Jeruel Trujeque, Ashley Papias, Margareth V Del Cid, Johanna B Folk, Marina Tolou-Shams

    Published 2025-01-01
    “…ObjectiveThe aim of this paper is to reflect on the experiences of 4 foster youth involved in the co-design of FostrSpace, a mobile app designed through a collaboration among foster youth in the San Francisco Bay Area; clinicians and academics from the Juvenile Justice Behavioral Health research team at the University of California, San Francisco; and Chorus Innovations, a rapid technology development platform specializing in participatory design practices. …”
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  13. 173

    Digital Frequency Customized Relieving Sound for Chronic Subjective Tinnitus Management: Prospective Controlled Study by Dongmei Tang, Yuzhu Peng, Dantong Gu, Yongzhen Wu, Huawei Li

    Published 2025-01-01
    “…ConclusionsOur study suggests that DFCRS is a new promising and noninvasive therapy for chronic tinnitus, and it can be delivered through a mobile app to bring more convenience to patients with tinnitus.…”
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  14. 174

    Women Empowered to Connect With Addiction Resources and Engage in Evidence-Based Treatment (WE-CARE)—an mHealth Application for the Universal Screening of Alcohol, Substance Use, D... by Krystyna Isaacs, Autumn Shifflett, Kajal Patel, Lacey Karpisek, Yi Cui, Maayan Lawental, Golfo Tzilos Wernette, Brian Borsari, Katie Chang, Tony Ma

    Published 2025-02-01
    “…The Women Empowered to Connect with Addiction Resources and Engage in Evidence-based Treatment (WE-CARE) mobile app was developed to test universal screening with women of childbearing age and linkage to care after an anonymous assessment. …”
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  15. 175

    Assessing and Enhancing Nutrition and Physical Activity Environments in Early Childhood Education and Care Centers: Scoping Review of eHealth Tools by Joyce Hayek, Kelsi Dickson, Lynne M Z Lafave

    Published 2025-01-01
    “…The majority targeted nutrition (4 tools, 57%) and were primarily web based (6 tools, 86%), with 1 mobile app (1 tool, 14%). ConclusionsThis scoping review mapped the available eHealth tools designed to improve nutrition or physical activity environments in ECEC settings, highlighting the growing emphasis on web-based tools and the need for psychometric testing. …”
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  16. 176

    Safety of a co-designed cognitive behavioural therapy intervention for people with type 1 diabetes and eating disorders (STEADY): a feasibility randomised controlled trialResearch... by Marietta Stadler, Natalie Zaremba, Amy Harrison, Jennie Brown, Divina Pillay, Jacqueline Allan, Rachael Tan, Salma Ayis, Emmanouela Konstantara, Janet Treasure, David Hopkins, Khalida Ismail

    Published 2025-03-01
    “…STEADY was delivered in 12 sessions by a CBT-trained Diabetes Specialist Nurse through video-conferencing and mobile app. Main outcome at 6 months post-randomisation was feasibility. …”
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  17. 177

    Efficacy of a Mobile Health–Based Behavioral Treatment for Lifestyle Modification in Type 2 Diabetes Self-Management: Greenhabit Randomized Controlled Trial by Ana Maria Ruiz-Leon, Rosa Casas, Sara Castro-Barquero, Sofia Alfaro-González, Petia Radeva, Emilio Sacanella, Francesc Casanovas-Garriga, Ainhoa Pérez-Gesalí, Ramon Estruch

    Published 2025-01-01
    “…They were randomly assigned to 1 of 2 groups: (1) an intervention group (n=61) instructed to use the Greenhabit mobile app alongside standard care, or (2) a control group (n=62) who received advice on maintaining a healthy diet and followed standard care. …”
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  18. 178

    Detection Method of Effective Tillering of Rice in Field Based on Lightweight Ghost-YOLOv8 and Smart Phone by CUI Jiale, ZENG Xiangfeng, REN Zhengwei, SUN Jian, TANG Chen, YANG Wanneng, SONG Peng

    Published 2024-09-01
    “…Based on the lightweight Ghost-YOLOv8 model, a mobile App for effective tiller detection of rice was designed and constructed using the Android Studio development platform and intranet penetration counting.…”
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