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Preliminary study for the evaluation of barriers and support factors for the use of robotic systems in intensive care units (Project MobiStaR)

Conditions
Evaluation of barriers and support factors for the use of robotic systems in intensive care units
Registration Number
DRKS00023848
Lead Sponsor
MU Klinikum
Brief Summary

Not available

Detailed Description

Not available

Recruitment & Eligibility

Status
Complete
Sex
All
Target Recruitment
40
Inclusion Criteria

Expert survey - The experts research or develop robotic systems for health-promoting, non-invasive areas in the inpatient setting, have been working in this field for at least three years, have tested or implemented at least one of their developments in a clinical setting and are proficient in German or English. In the clinical setting, the experts have professional experience of at least three years in an intensive care unit in a German-speaking country and are proficient in German or English. The experts belong to the professional groups nursing, physiotherapy and medicine. Physicians already have an additional qualification in the field of intensive care medicine or are currently in the process of obtaining this qualification. After five years of working in intensive care units, nurses and physiotherapists are considered experts in early mobilization, even without additional qualifications. Early mobilization is performed as standard according to guideline S2e Positioning therapy and early mobilization. The experts have already gained experience with robotic systems in intensive care units, preferably in early mobilization. The intensive care units are in an inpatient setting.
Group discussions - Included are nurses with advanced training in anesthesia and intensive care and/or nurses with at least three years of professional experience in an intensive care unit. In addition, the persons have a contract of employment at the LMU Klinikum.
Problem-centered interviews - Ward managers who have at least three years of management experience in an intensive care unit and an employment contract at the LMU Klinikum are included.
Also included are specialists in a leading position and physiotherapists with at least three years of professional experience in an intensive care unit and an employment contract at the LMU Klinikum.

Exclusion Criteria

Expert survey - persons who do not have the professional qualification or required work experience with robotic systems and do not speak German or English. Persons whose work experience with robotic systems is related to service automation or emotion are excluded as well as employees of the institutions of the research consortium.
Group discussions: Excluded are nursing professionals who have less than three years of work experience in an intensive care unit or who work in the MobiStaR project team. Nurses who are not employed at the LMU Klinikum are also excluded.
Problem-centered interviews:
Excluded are persons who are part of the project team, have less than three years of management experience in intensive care units as nurses or specialists, or are still undergoing further training as specialists. Physiotherapists with less than three years of experience in intensive care units are also excluded. Persons who are not employed by the LMU Klinikum are also excluded.

Study & Design

Study Type
observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Identifying barriers and supporting factors for the integration of a robotic system for early mobilization in the clinical setting as well as the current state of the hospital
Secondary Outcome Measures
NameTimeMethod
Recording of the handling of technical developments and contextual factors related to the setting, identification of current early mobilization techniques used by intensive care patients and the identification of knowledge about early mobilization from the professional groups (nursing, medicine and physiotherapy). Furthermore, inclusion and exclusion criteria for early mobilization of intensive care patients in intensive care units will be identified.
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