Background: The transformation in global demography and the shortage of health care workers require innovation and efficiency in the field of health care. Digital technology can help improve the efficiency of health care. The Mercury Advance SMARTcare solution is an example of digital technology. The system is connected to a hybrid mattress and is able to detect patient movement, based on which the air pump either starts automatically or sends a notification to the app. Barriers to the adoption of the system are unknown, and it is unclear if the solution will be able to support health care workers in their work. Objective: This study aims to gain insight into health care workers’ expectations of factors that could either hamper or support the adoption of the Mercury Advance SMARTcare unit connected to a Mercury Advance mattress to help prevent patients from developing pressure injuries in hospitals and long-term care facilities. Methods: We conducted a generic qualitative study from February to December 2022. Interviews were conducted, and a focus group was established using an interview guide of health care workers from both the United Kingdom and the Netherlands. Thematic analysis was performed by 2 independent researchers. Results: A total of 14 participants took part in the study: 6 (43%) participants joined the focus group, and 8 (57%) participants took part in the individual interviews. We identified 13 factors based on four themes: (1) factors specifically related to SMARTresponse, (2) vision on innovation, (3) match with health care activities, and (4) materials and resources involved. Signaling function, SMARTresponse as prevention, patient category, representatives, and implementation strategy were identified as facilitators. Perception of patient repositioning, accessibility to pressure injury aids, and connectivity were identified as barriers. Conclusions: Several conditions must be met to enhance the adoption of the Mercury Advance SMARTcare solution, including the engagement of representatives during training and a reliable wireless network. The identified factors can be used to facilitate the implementation process. JMIR Nursing 2024;7:e47992
Background: The substitution of healthcare is a way to control rising healthcare costs. The Primary Care Plus (PC+) intervention of the Dutch ‘Blue Care’ pioneer site aims to achieve this feat by facilitating consultations with medical specialists in the primary care setting. One of the specialties involved is dermatology. This study explores referral decisions following dermatology care in PC+ and the influence of predictive patient and consultation characteristics on this decision. Methods: This retrospective study used clinical data of patients who received dermatology care in PC+ between January 2015 and March 2017. The referral decision following PC+, (i.e., referral back to the general practitioner (GP) or referral to outpatient hospital care) was the primary outcome. Stepwise logistic regression modelling was used to describe variations in the referral decisions following PC+, with patient age and gender, number of PC+ consultations, patient diagnosis and treatment specialist as the predicting factors. Results: A total of 2952 patients visited PC+ for dermatology care. Of those patients with a registered referral, 80.2% (N = 2254) were referred back to the GP, and 19.8% (N = 558) were referred to outpatient hospital care. In the multivariable model, only the treating specialist and patient’s diagnosis independently influenced the referral decisions following PC+. Conclusion: The aim of PC+ is to reduce the number of referrals to outpatient hospital care. According to the results, the treating specialist and patient diagnosis influence referral decisions. Therefore, the results of this study can be used to discuss and improve specialist and patient profiles for PC+ to further optimise the effectiveness of the initiative.
It is essential to look for new forms of care, with an emphasis on Prevention, Relocation and Replacement (Health & Care Knowledge and Innovation Agenda 2020-2030). Especially when it comes to Alcohol Use Disorder (AUD). Globally, more than 5% of all illness and injury are attributable to AUD. Treatment is challenging; 47-75% of AUD patients who are clinically detoxified relapse within one year. Recovry aims to prevent an unhealthy lifestyle due to (alcohol) addiction by developing and testing a Virtual Reality (VR) self-prevention tool (relocating and replacing care treatment). Although research shows that VR is used successfully in health care and in the treatment of alcohol addiction, especially through the creation of presence, it has not been tested for effectiveness and implementation (as an adjuvant in a clinical post-detoxification phase of an AUD- therapy). The question of whether virtual-humans should be used in a VR treatment and whether 3600 recorded VR or computer generated (CG) VR should be selected before. The use of a virtual human in VR has expected advantages (more effect) but also disadvantages (more costs). The expected advantages and disadvantages of 360o VR (cheaper, faster, more personal) and CG VR (more flexible and interactive) also cause choice and implementation problems. Recovry is the first project in which a VR tool is (further) developed in which an AUD treatment can (and will) be tested for the effect and effectiveness of adding virtual humans in CG and 360o VR environments as part of preventive care for patients with an AUD. This project thus serves as a prelude to cooperation in the Netherlands around a more effective implementation of VR in the (self) care system and thus the active and independent integration of former AUD patients in society (“more people, less patients”).
