Barriers and facilitators in the implementation of mobilization robots in hospitals from the perspective of clinical experts and developers

Task-oriented robotic rehabilitation for back mobility and functioning in a post-intensive care unit obese patient: A case report

BackgroundIntensive care unit (ICU) acquired weakness is a detrimental condition characterized by muscle weakness, difficulty in weaning from mechanical ventilation, impaired mobility, and functional limitations, severely affecting overall quality of life. Obese patients face additional challenges due to obesity-related factors that exacerbate the negative effects of immobilization. Rehabilitation interventions have emerged as a crucial component of post-ICU care, but the rehabilitation management of obese patients remains challenging.Objectiveto present the impact of implementing Walker View 3.0 SCX technology in post-intensive care unit rehabilitation of obese patient.MethodsA 69-year-old Caucasian man with a BMI of 44.8 kg/m2 was referred to the Cardiopulmonary Rehabilitation Unit at Alessandria Hospital, Italy, following an ICU admission for pneumonia. After a comprehensive multidisciplinary evaluation, the patient underwent an intensive rehabilitation program including physical exercises and a personalized dietary plan. A task-oriented robotic rehabilitation was added, utilizing the Walker View 3.0 SCX, for 30 min/day, 5 days/week. The robotic rehabilitation program focused on sit-to-stand mobility with weight support initially and progressed to a weight-supported robotic treadmill.ResultsThe patient showed clear improvements in physical function, muscle strength, and independence in activity of daily living (Barthel Index improved from 15 to 70, De Morton Mobility Index improved from 8 to 39, Medical Research Council Strength improved from 17 to 40, Functional Ambulation Classification score improved from 0 to 3, Handgrip Strength Test improved from 8.8 kg to 39.4 kg). Managed by a single physiotherapist, this approach showed positive results in enhancing functional outcomes, with potential benefits in reducing operator time and assistance costs.ConclusionsIntegrating task-oriented robotic rehabilitation with Walker View 3.0 SCX showed promising outcomes for obese patients post-ICU. Personalized interventions with weight-bearing capabilities and real-time feedback optimized post-ICU care, enhancing functional outcomes, and potentially reducing operator time and assistance costs. Further research with larger samples is needed to validate the broader applicability and cost-effectiveness of robotic rehabilitation technologies in obese patients with ICU-acquired weakness.

New colleague or gimmick hurdle? A user-centric scoping review of the barriers and facilitators of robots in hospitals

Healthcare systems are confronted with a multitude of challenges, including the imperative to enhance accessibility, efficiency, cost-effectiveness, and the quality of healthcare delivery. These challenges are exacerbated by current healthcare personnel shortages, prospects of future shortfalls, insufficient recruitment efforts, increasing prevalence of chronic diseases, global viral concerns, and ageing populations. To address this escalating demand for healthcare services, healthcare systems are increasingly adopting robotic technology and artificial intelligence (AI), which promise to optimise costs, improve working conditions, and increase the quality of care. This article focuses on deepening our understanding of the barriers and facilitators associated with integrating robotic technologies in hospital environments. To this end, we conducted a scoping literature review to consolidate emerging themes pertaining to the experiences, viewpoints perspectives, and behaviours of hospital employees as professional users of robots in hospitals. Through screening 501 original research articles from Web-of-Science, we identified and reviewed in full-text 40 pertinent user-centric studies of the integration of robots into hospitals. Our review revealed and analysed 14 themes in-depth, of which we identified seven as barriers and seven as facilitators. Through a structuring of the barriers and facilitators, we reveal a notable misalignment between these barriers and facilitators: Finding that organisational aspects are at the core of most barriers, we suggest that future research should investigate the dynamics between hospital employees as professional users and the procedures and workflows of the hospitals as institutions, as well as the ambivalent role of anthropomorphisation of hospital robots, and emerging issues of privacy and confidentiality raised by increasingly communicative robots. Ultimately, this perspective on the integration of robots in hospitals transcends debates on the capabilities and limits of the robotic technology itself, shedding light on the complexity of integrating new technologies into hospital environments and contributing to an understanding of possible futures in healthcare innovation.

Robot-assisted early mobilization for intensive care unit patients: Feasibility and first-time clinical use

BACKGROUND

Early mobilization is only carried out to a limited extent in the intensive care unit. To address this issue, the robotic assistance system VEMOTION® was developed to facilitate (early) mobilization measures more easily. This paper describes the first integration of robotic assistance systems in acute clinical intensive care units.

OBJECTIVE

Feasibility test of robotic assistance in early mobilization of intensive care patients in routine clinical practice.

SETTING

Two intensive care units guided by anesthesiology at a German university hospital.

PARTICIPANTS

Patients who underwent elective surgery with postoperative treatment in the intensive care unit and had an estimated ventilation time over 48 h.

METHODS

Participants underwent robot-assisted mobilization, scheduled for twenty-minute sessions twice a day, ten times or one week, conducted by nursing staff under actual operational conditions on the units. No randomization or blinding took place. We assessed data regarding feasible cutoff points (in brackets): the possibility of enrollment (x ≥ 50 %), duration (pre- and post-setup (x ≤ 25 min), therapy duration (x = 20 min), and intervention-related parameters (number of mobilizing professionals (x ≤ 2), intensity of training, events that led to adverse events, errors or discontinuation). Mobilizing professionals rated each mobilization regarding their physical stress (x ≤ 3) and feasibility (x ≥ 4) on a 7 Point Likert Scale. An estimated sample size of at least twenty patients was calculated. We analyzed the data descriptively.

RESULTS

Within 6 months, we screened thirty-two patients for enrollment. 23 patients were included in the study and 16 underwent mobilization using robotic assistance, 7 dropped out (enrollment eligibility = 69 %). On average, 1.9 nurses were involved per therapy unit. Participants received 5.6 robot-assisted mobilizations in mean. Pre- and post-setup had a mean duration of 18 min, therapy a mean of 21 min. The robot-assisted mobilization was started after a median of 18 h after admission to the intensive care unit. We documented two adverse events (pain), twelve errors in handling, and seven unexpected events that led to interruptions or discontinuation. No serious adverse events occurred. The mobilizing nurses rated their physical stress as low (mean 2.0 ± 1.3) and the intervention as feasible (mean 5.3 ± 1.6).

CONCLUSIONS

Robot-assisted mobilization was feasible, but specific safety measures should be implemented to prevent errors. Robotic-assisted mobilization requires process adjustments and consideration of unit staffing levels, as the intervention does not save staff resources or time.

REGISTRATION

clinicaltrials.org TRN: NCT05071248; Date: 2021/10/08; URL https://clinicaltrials.gov/ct2/show/NCT05071248.

TWEETABLE ABSTRACT

Robot-assisted early mobilization in intensive care patients is feasible and no adverse event occurred.