Health Care Workers' Expectations of the Mercury Advance SMARTcare Solution to Prevent Pressure Injuries: Individual and Focus Group Interview Study.

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.

Games to support teaching clinical reasoning in health professions education: a scoping review.

INTRODUCTION: Given the complexity of teaching clinical reasoning to (future) healthcare professionals, the utilization of serious games has become popular for supporting clinical reasoning education. This scoping review outlines games designed to support teaching clinical reasoning in health professions education, with a specific emphasis on their alignment with the 8-step clinical reasoning cycle and the reflective practice framework, fundamental for effective learning. METHODS: A scoping review using systematic searches across seven databases (PubMed, CINAHL, ERIC, PsycINFO, Scopus, Web of Science, and Embase) was conducted. Game characteristics, technical requirements, and incorporation of clinical reasoning cycle steps were analyzed. Additional game information was obtained from the authors. RESULTS: Nineteen unique games emerged, primarily simulation and escape room genres. Most games incorporated the following clinical reasoning steps: patient consideration (step 1), cue collection (step 2), intervention (step 6), and outcome evaluation (step 7). Processing information (step 3) and understanding the patient's problem (step 4) were less prevalent, while goal setting (step 5) and reflection (step 8) were least integrated. CONCLUSION: All serious games reviewed show potential for improving clinical reasoning skills, but thoughtful alignment with learning objectives and contextual factors is vital. While this study aids health professions educators in understanding how games may support teaching of clinical reasoning, further research is needed to optimize their effective use in education. Notably, most games lack explicit incorporation of all clinical reasoning cycle steps, especially reflection, limiting its role in reflective practice. Hence, we recommend prioritizing a systematic clinical reasoning model with explicit reflective steps when using serious games for teaching clinical reasoning.

Factors That Influence the Use of eHealth in Home Care: Scoping Review and Cross-sectional Survey.

BACKGROUND: In home care, eHealth implementation requires health care professionals and home care clients to change their behavior because they have to incorporate the use of eHealth into their daily routines. Knowledge of factors that influence the use of eHealth in home care is needed to optimize implementation strategies. However, a comprehensive overview of such factors is lacking. OBJECTIVE: The aims of this study were to (1) provide insight into the types of eHealth that are used and preferred in home care and (2) identify factors that influence the use of eHealth in home care according to health care professionals and home care clients. METHODS: A scoping review and online, cross-sectional survey were conducted sequentially. The survey was conducted among Dutch health care professionals with a nursing background who were working for a home care organization at the time. The capability, opportunity, motivation, behavior (COM-B) model, which posits that for any behavior (B) to occur, a person must have the capability (C), opportunity (O), and motivation (M) to perform the behavior, was used to identify influencing factors. The use of a theoretical model may contribute to a better understanding of how to achieve and sustain behavior change in clinical practice. RESULTS: We included 30 studies in the scoping review. The most frequently studied type of eHealth was a telecommunication/telemonitoring system. The survey was completed by 102 participants. The most frequently used types of eHealth were electronic health records, social alarms, and online client portals. A health app was the most frequently preferred type of eHealth. We identified 22 factors that influence the use of eHealth in home care according to health care professionals and home care clients. Influencing factors were organized into the components of the COM-B model, namely capability (n=6), opportunity (n=10), and motivation (n=6). We found that there is no single influencing factor that is key to the complexity of eHealth implementation. CONCLUSIONS: Different types of eHealth are used, and many types of eHealth are preferred by health care professionals. The identified factors that influence the use of eHealth in home care relate to all components of the COM-B model. These factors need to be addressed and embedded in implementation strategies of eHealth to optimize the use of eHealth in home care.

Educational intervention to increase nurses' knowledge, self-efficacy and usage of telehealth: A multi-setting pretest-posttest study.

The widespread use of telehealth, providing healthcare remotely, is hampered by various barriers. Dutch nurses currently working in practice never received education in this new way of healthcare delivery. Education is frequently suggested as a strategy to overcome barriers in telehealth use. However, the nature and effectiveness of such education has not yet been specified and tested in practice. In a previous study, we identified 14 nursing telehealth activities and accompanying competencies. In the current study, we established the effectiveness of training in these competencies on nurses' subjective knowledge, self-efficacy and usage of telehealth. A two-day tailored training program in nursing telehealth activities was evaluated in a Dutch context among 37 participants across three settings: (a) twelve primary care (PC), (b) fourteen homecare (HC) and (c) eleven hospital (H) nurses. In each team, telehealth knowledge significantly increased during the training sessions. In each team, nurses' telehealth self-efficacy also significantly increased 6-10 weeks after the training. After the training, the number of remote consultations increased from 2 to 12 in primary care, 12 to 35 in homecare and decreased from 28 to 17 in the hospital setting. We conclude that training nurses in telehealth activities contributes to their knowledge and self-efficacy.

Needs, barriers and facilitators of older adults towards eHealth in general practice: a qualitative study.

BACKGROUND: The strain on health care services is increasing due to an ageing population and the increasing prevalence of chronic health conditions. eHealth could contribute to optimise effective and efficient care to older adults with one or more chronic health conditions in the general practice. AIM: The aim of this study was to identify the needs, barriers and facilitators amongst community-dwelling older adults (60+) suffering from one or more chronic health conditions, in using online eHealth applications to support general practice services. METHODS: A qualitative study, using semi-structured followed by think-aloud interviews, was conducted in the Netherlands. The semi-structured interviews, supported by an interview guide were conducted and analysed thematically. The think-aloud method was used to collect data about the cognitive process while the participant was completing a task within online eHealth applications. Verbal analysis according to the Chi approach was conducted to analyse the think-aloud interviews. FINDINGS: A total of n = 19 older adults with a mean age of 73 years participated. The ability to have immediate contact with the GP on important health issues was identified as an important need. Identified barriers were non-familiarity with the online eHealth applications and a mismatch of user health needs. The low computer experience resulted in non-familiarity with the online eHealth applications. Faltering applications resulted in participants refusing to participate in the use of online eHealth applications. Convenience, efficiency and the instant availability of eHealth via applications were identified as important facilitators. CONCLUSION: To improve the use and acceptability of eHealth applications amongst older adults in the general practice, the applications should be tailored to meet individual needs. More attention should be given to improving the user-friendliness of these applications and to the promotion of the benefits such as facilitating older adults independent living for longer.