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Aim: Mobile applications represent promising tools in management of chronic diseases, both for patients and healthcare professionals, and especially in oncology. Among the large number of mobile health (mhealth) applications available in mobile stores, it could be difficult for users to identify the most relevant ones. This study evaluated the business model and the scientific validation for mobile applications related to oncology.
Methods: A systematic review was performed over the two major marketplaces. Purpose, scientific validation, and source of funding were evaluated according to the description of applications in stores. Results were stratified according to targeted audience (general population/patients/healthcare professionals).
Results: Five hundred and thirty-nine applications related to oncology were identified: 46.8% dedicated to healthcare professionals, 31.5% to general population, and 21.7% to patients. A lack of information about healthcare professionals' involvement in the development process was noted since only 36.5% of applications mentioned an obvious scientific validation. Most apps were free (72.2%) and without explicit support by industry (94.2%).
Conclusions: There is a need to enforce independent review of mhealth applications in oncology. The economic model could be questioned and the source of funding should be clarified. Meanwhile, patients and healthcare professionals should remain cautious about applications' contents. Key messages A systematic review was performed to describe the mobile applications related to oncology and it revealed a lack of information on scientific validation and funding. Independent scientific review and the reporting of conflicts of interest should be encouraged. Users, and all health professionals, should be aware that health applications, whatever the quality of their content, do not actually embrace such an approach.
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http://dx.doi.org/10.1080/07853890.2016.1195010 | DOI Listing |
J Eval Clin Pract
September 2025
Pediatric Allergy and Immunology Department, Akdeniz University Hospital, Akdeniz University, Antalya, Türkiye.
Aims And Objectives: To evaluate the efficacy of YoungAsthma, a nurse-led, web-based mHealth intervention on asthma control and self-efficacy among adolescents with asthma utilizing decision tree analysis.
Background: Asthma is a prevalent chronic condition in pediatric populations, necessitating sustained management for optimal disease control.
Design: A randomized controlled clinical trial.
ACS Appl Mater Interfaces
September 2025
University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China.
The development of ultrablack coatings with exceptional absorption (>98%) has historically faced significant scientific and engineering challenges, primarily due to limitations in material selection, structural design, and practical durability. Considering the difficulties in practical applications of ultrablack materials with micro/nano structures and the limitations of planar ultrablack coatings in optical performance, we introduce an innovative integration of conventional planar ultrablack coatings with a specifically engineered trilayer antireflection architecture. This hybrid system incorporates a refractive index distribution (1.
View Article and Find Full Text PDFLight Sci Appl
September 2025
State Key Laboratory of Flexible Electronics, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NUPT), Nanjing, 210023, China.
As the demand for edge platforms in artificial intelligence increases, including mobile devices and security applications, the surge in data influx into edge devices often triggers interference and suboptimal decision-making. There is a pressing need for solutions emphasizing low power consumption and cost-effectiveness. In-sensor computing systems employing memristors face challenges in optimizing energy efficiency and streamlining manufacturing due to the necessity for multiple physical processing components.
View Article and Find Full Text PDFZhonghua Jie He He Hu Xi Za Zhi
September 2025
Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory He
Cough is a common symptom of many respiratory diseases, and parameters such as frequency, intensity, type and duration play important roles in disease screening, diagnosis and prognosis. Among these, cough frequency is the most widely applied metric. In current clinical practice, cough severity is primarily assessed based on patients' subjective symptom descriptions in combination with semi-structured questionnaires.
View Article and Find Full Text PDFZhonghua Jie He He Hu Xi Za Zhi
September 2025
Pulmonary and Critical Care Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
To explore the feasibility and accuracy of predicting respiratory tract infections (RTIs) using physiological data obtained from consumer-grade smartwatches. The study used smartwatches and paired mobile applications to continuously collect physiological parameters while participants slept. A personalized baseline model was established using multi-day data, followed by the construction of RTIs risk prediction algorithm based on deviations from physiological parameter trends.
View Article and Find Full Text PDF