RESUMO
Purpose: With an estimated prevalence of 38%, enteral feeding intolerance (EFI) is common in critically ill patients receiving enteral nutrition (EN), and is associated with higher mortality and longer duration of mechanical ventilation. Various methods have been reported to decrease the incidence of EFI during EN, such as post-pyloric feeding, continuous EN delivery, abdominal massage, and probiotic supplementation. However, several studies reported conflicting results. Inappropriate interventions may cause gastrointestinal (GI) injury. This study aims to design a protocol based on Mukbang videos, which are widely watched online, to detect their effects on the incidence of EFI, nutritional status, incidence of infectious complications, and activities of daily living. Patients and Methods: We will conduct a three-arm, parallel-design, randomized controlled trial that will be implemented in 273 patients from intensive care units. Participants will be randomized into one of the three intervention arms (1:1:1), which will be performed by a research assistant. Participants were allocated to three groups: (a) watching mukbang video, (b) watching a cooking show, and (c) watching a non-food content video. Prior to EN initiation, each participant will watch a ten-minute mukbang video, cookery show, or non-food content video. Conclusion: Mukbang videos show food, expressions of mukbangers and eating sounds. If it effectively reduces the incidence of EFI, leads to greater nutritional status, lower incidence of infectious complications, and a higher level of independence among patients compared with watching cooking videos or non-food content videos, it has broad dissemination potential as a non-invasive, easily assessing, and using method.
RESUMO
PURPOSE: With the increasing prevalence and chronic course of gout, the use of mobile health (mHealth) applications (APPs) for gout self-management is attracting considerable research attention as an effective approach to improving health outcomes. However, there is limited knowledge regarding the self-management support that a mHealth APP for gout should provide to patients according to their needs. The aim of this study was to interview patients with gout and identify their needs with respect to gout self-management support. PATIENTS AND METHODS: We conducted qualitative research using a purposive sampling method from January 2019 to August 2019. Individual face-to-face semi-structured interviews were conducted with patients recruited from West China Hospital in Sichuan, China. The qualitative data were transcribed verbatim and analyzed by thematic analysis. RESULTS: Ten male patients with gout were included in the final analysis. Instrumental, psychological, and relational support emerged as themes describing the needs of patients for gout self-management support. The instrumental support included health education, hospital registration, setting reminders, and shopping. Psychological support referred to helping patients mitigate various negative emotions. Relational support included interactions with healthcare providers and fellow patients. CONCLUSION: The present findings indicate that healthcare providers or companies should develop mHealth APPs for gout self-management based on the needs of patients.