Design of a Training Model for Remote Management of Patients Hospitalized at Home

• Published in: Journal of medical and biological engineering Vol. 40; no. 4; pp. 610 - 617
• Main Authors: Abril-Jiménez, Patricia, Merino-Barbancho, Beatriz, Lombroni, Ivana, Villanueva-Mascato, Samanta, Mallo, Irene, Vera-Muñoz, Cecilia, Arredondo, María Teresa, Fico, Giuseppe
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2020; Springer Nature B.V
• Subjects: Biomedical Engineering and Bioengineering; Cell Biology; Engineering; Health care; Hospitalization; Imaging; Medical personnel; Original; Original Article; Patients; Physicians; Radiology; Telemedicine; Training; Workability; Hospitalization at Home; Professionals training; ICT
• ISSN: 1609-0985; 2199-4757; 2199-4757
• DOI: 10.1007/s40846-020-00553-4

Purpose Hospitalization at Home (HaH) has proven to be more efficient and effective than conventional one, but it also requires a higher number of resources and specialised personnel. Information technologies can make this process scalable and allow physicians and nurses to deliver remote healthcare services for patients hospitalized at home. However, a correct and satisfactory usage of technology requires an adequate training of professionals and patients. This paper describes a new model for training healthcare professionals on managing remote ICT-based services for Hospitalization at Home. Methods The model was defined based on mix-method that combined the PICO model and a User Centred Design methodology, oriented to identify and discover the healthcare professionals needs and the training instruments in the literature that directly involved these professionals. These aspects were used in the definition and development of the assessment framework of the proposed training model. Results A training model for healthcare professionals focused on achieving an effective uptake of complex digital interventions such as Hospitalization at Home was defined. The selected mix-method led to the identification of four different blocks, that were considered as the main areas to include in a training programme. The model identifies measurable elements for assessing acceptability, workability increment and integration into daily clinical practice outcomes, as well as for evaluating the proposed training content and its outcomes. Conclusions The proposed training model highlights the key aspects of training health professionals to favour an effective and successful implementation of complex technological healthcare interventions in the context of ICT-based HaH ICT.