98%
921
2 minutes
20
Purpose: The use of mobile health (mHealth) technologies to augment patient care enables providers to communicate remotely with patients enhancing the quality of care and patient engagement. Few studies evaluated predictive factors of its acceptance and subsequent implementation, especially in medically underserved populations.
Methods: A cross-sectional study of 151 cancer patients was conducted at an academic medical center in the USA. A trained interviewer performed structured interviews regarding the barriers and facilitators of patients' current and desired use of mHealth technology for healthcare services.
Results: Of the 151 participants, 35.8% were male and ages ranged from 21 to 104 years. 73.5% of participants currently have daily access to internet, and 68.2% currently own a smartphone capable of displaying mobile applications. Among all participants, acceptability of a daily mHealth application was significantly higher in patients with a college-level degree (OR 2.78, CI 1.25-5.88) and lower in patients > 80 years of age (OR 0.05, CI 0.01-0.23). Differences in acceptability when adjusted for current smartphone use and daily access to internet were nonsignificant. Among smartphone users, the desire to increase cancer knowledge was associated with a higher likelihood of utilizing a mHealth application (OR 261.53, CI 10.13-6748.71).
Conclusion: The study suggests that factors such as age, educational achievement, and access to internet are significant predictors of acceptability of a mHealth application among cancer patients. Healthcare organizations should consider these factors when launching patient engagement platforms.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00520-020-05393-1 | DOI Listing |
J Med Internet Res
September 2025
Department of Precision Medicine, Faculty of Health, Medicine and Life Sciences, Maastricht University, Universiteitssingel 40, Maastricht, 6229 ER, The Netherlands, 31 433883549.
Background: Making informed decisions about clinical trial participation can be overwhelming for patients due to the complexity of trial information, potential risks and benefits, and the emotional burden of a recent diagnosis. Patient decision aids (PDAs) simplify this process by providing clear information on treatment options, empowering patients to actively participate in shared decision-making with their doctors. While PDAs have shown promise in various health care contexts, their use in clinical trials, particularly in the form of trial-specific patient decision aids (tPDAs), remains underused.
View Article and Find Full Text PDFBMJ Open
September 2025
Pharmacy Department, St John of God University Hospital, Dublin, Ireland.
Objectives: To address the lack of accurate and accessible mental health medicines-information resources for children, young people and their parents/guardians using design thinking to co-design free-to-use, video resources tailored to this audience.
Design: A multiphase qualitative case study using the Double Diamond model of Design Thinking: Discover, Define, Develop and Deliver. This included iterative prototyping, thematic analysis and public and patient involvement throughout.
J Affect Disord
September 2025
Department of Psychology, Indiana University Indianapolis, 402 N. Blackford St., LD 100E, Indianapolis, IN, USA. Electronic address:
Background: Integrating digital mental health into collaborative care could address multiple mental health factors. To determine the longer-term effects of modernized collaborative care for depression on overlapping mental health factors, we analyzed data from the eIMPACT trial.
Methods: Primary care patients with depression and elevated cardiovascular disease risk (N = 216, Mage: 59 years, 78 % female, 50 % Black, 46 % with income <$10,000/year) were randomized to 12 months of the eIMPACT intervention (modernized collaborative care involving internet cognitive-behavioral therapy [iCBT], telephonic CBT, and/or select antidepressants) or usual primary care for depression.
Ann N Y Acad Sci
September 2025
BioAnalyt, Teltow, Germany.
Big data analytics have shown great potential to improve decision-making in health, including disease surveillance and healthcare delivery. This scoping review explores how big data supports decision-making in large-scale food fortification (LSFF) and biofortification across the food value chain. Following PRISMA guidelines, we analyzed open-access peer-reviewed literature and gray literature from 2012 to 2022.
View Article and Find Full Text PDFJMIR Form Res
September 2025
Department of Medicine, Duke Global Health Institute, Duke University, Durham, NC, United States.
Background: The global penetration of mobile phones has offered novel opportunities for communicating health-related information to individuals. A low-cost system that facilitates autonomous communication with individuals via mobile phones holds potential for expanding the reach of health messaging in settings with human resource and infrastructure limitations.
Objective: We sought to design a flexible, low-code system using open-source software that could be adapted to different contexts and technical environments and accommodate a wide range of automation needs.