Adverse Events in Intensive Care and Continuing Care Units During Bed-Bath Procedures: The Prospective Observational NURSIng during critical carE (NURSIE) Study

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.

Design and implementation of an automatic nursing assessment system based on CDSS technology

BACKGROUND

Various quantitative and quality assessment tools are currently used in nursing to evaluate a patient's physiological, psychological, and socioeconomic status. The results play important roles in evaluating the efficiency of healthcare, improving the treatment plans, and lowing relevant clinical risks. However, the manual process of the assessment imposes a substantial burden and can lead to errors in digitalization. To fill these gaps, we proposed an automatic nursing assessment system based on clinical decision support system (CDSS). The framework underlying the CDSS included experts, evaluation criteria, and voting roles for selecting electronic assessment sheets over paper ones.

METHODS

We developed the framework based on an expert voting flow to choose electronic assessment sheets. The CDSS was constructed based on a nursing process workflow model. A multilayer architecture with independent modules was used. The performance of the proposed system was evaluated by comparing the adverse events' incidence and the average time for regular daily assessment before and after the implementation.

RESULTS

After implementation of the system, the adverse nursing events' incidence decreased significantly from 0.43 % to 0.37 % in the first year and further to 0.27 % in the second year (p-value: 0.04). Meanwhile, the median time for regular daily assessments further decreased from 63 s to 51 s.

CONCLUSIONS

The automatic assessment system helps to reduce nurses' workload and the incidence of adverse nursing events.

[Preparing student nurses for critical care placements, a quasi-experimental mixed study]

Weaving a link between the academic pathway in nursing schools and health care facilities. To co-create a new and adaptive training for nursing students called to do a placement in an intensive care unit. To facilitate their integration and reduce their apprehension in a highly technical clinical environment. These are the goals of the Préparéa workshops implemented within the regional teaching and training center for health professions at the Toulouse University Hospital.

The effect of extended continuous nursing strategy applied to patients with mild brain injury on their quality of life and self-efficacy

Postoperative rehabilitation of craniocerebral injury requires a long process and has many complications. In addition, patients with severe craniocerebral injury are usually accompanied by impaired nervous system function, which will affect the patients’ normal life and work in a period of time after surgery. Reasonable rehabilitation nursing plays an active role in restructuring central nervous system function and coordinating muscle and joint activities. Since the rehabilitation of cerebral trauma is a long process, how to ensure the patients to carry out limb and brain function as well as self-care ability and self-care skills according to the rehabilitation exercise plan and intervention measures formulated before discharge has aroused hot debate. This study analyzed the impact of out-of-hospital continuous nursing strategy applied to patients with mild cerebral trauma on their quality of life and self-efficacy level.