Literature DB >> 31495000

Perceptions and experiences of perioperative nurses and nurse anaesthetists in robotic-assisted surgery.

Zohreh Schuessler1, Anne Scott Stiles2, Peggy Mancuso3.   

Abstract

AIMS AND
OBJECTIVES: To explore the perceptions and experiences of perioperative nurses and Certified Registered Nurse Anaesthetists (CRNAs) in robotic-assisted laparoscopic surgery (RALS). The objective was to identify the factors that affect nursing care of patients who undergo robotic-assisted laparoscopic surgery (RALS).
BACKGROUND: The rapid introduction of technological innovations into the healthcare system has created new challenges for perioperative nurses. RALS affects the physical and interpersonal context of the surgical team's work and subsequent patient outcomes. Despite significant changes to the workflow for perioperative nurses and CRNAs, there is little research focusing on the nurses' experience and their challenges with RALS.
DESIGN: A qualitative descriptive study.
METHOD: Semi-structured interview questions guided data collection. A total of seventeen participants including six preoperative and postoperative nurses, seven intraoperative nurses, and four CRNAs in the United States were interviewed. The interviews were conducted between 26 April-24 June 2018. Data were analysed using thematic analysis, and the COREQ checklist was used to report data collection, analysis and the results.
RESULTS: Three major themes and two categories within each theme were identified: (a) surgical innovation: nurse perception and workflow; (b) interprofessional practice: teamwork and standards; and (c) outcome: patient outcomes and system outcomes.
CONCLUSIONS: The findings indicate that RALS has the potential to improve patient outcomes when performed in a timely fashion by skilled surgeons, and efficient, well-trained surgical teams. For patients to experience full benefits of RALS, patient characteristics, the underlying reason for surgery, and cost must be considered. RELEVANCE TO CLINICAL PRACTICE: The results of this study highlight the necessity of promoting factors that improve the surgical team training and practice for RALS and will ultimately impact patient outcomes.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  conventional laparoscopic surgery; nursing; open surgery; patient outcomes; robotic-assisted laparoscopic surgery

Mesh:

Year:  2019        PMID: 31495000     DOI: 10.1111/jocn.15053

Source DB:  PubMed          Journal:  J Clin Nurs        ISSN: 0962-1067            Impact factor:   3.036


  5 in total

Review 1.  Work-system interventions in robotic-assisted surgery: a systematic review exploring the gap between challenges and solutions.

Authors:  Falisha Kanji; Ken Catchpole; Eunice Choi; Myrtede Alfred; Kate Cohen; Daniel Shouhed; Jennifer Anger; Tara Cohen
Journal:  Surg Endosc       Date:  2021-01-04       Impact factor: 4.584

2.  Practical value of hierarchical teaching combined with simulation scenario training for operating-room nurses.

Authors:  Min Zhang; Li Fan; Yanling Zhou
Journal:  Am J Transl Res       Date:  2021-03-15       Impact factor: 4.060

3.  Application of a two-dimensional code video in neurosurgery device manipulation training for growing nurses in operating room.

Authors:  Min Liu; Xuan Li; Fei Yin; Chen Yi
Journal:  Gland Surg       Date:  2021-12

4.  Effect assessment of the application value of evidence-based nursing intervention in operating room nursing: A protocol for a systematic review and meta-analysis.

Authors:  You Zhou; Xin Li
Journal:  Medicine (Baltimore)       Date:  2021-08-13       Impact factor: 1.817

Review 5.  Robotic surgery in emergency setting: 2021 WSES position paper.

Authors:  Nicola de'Angelis; Jim Khan; Francesco Marchegiani; Giorgio Bianchi; Filippo Aisoni; Daniele Alberti; Luca Ansaloni; Walter Biffl; Osvaldo Chiara; Graziano Ceccarelli; Federico Coccolini; Enrico Cicuttin; Mathieu D'Hondt; Salomone Di Saverio; Michele Diana; Belinda De Simone; Eloy Espin-Basany; Stefan Fichtner-Feigl; Jeffry Kashuk; Ewout Kouwenhoven; Ari Leppaniemi; Nassiba Beghdadi; Riccardo Memeo; Marco Milone; Ernest Moore; Andrew Peitzmann; Patrick Pessaux; Manos Pikoulis; Michele Pisano; Frederic Ris; Massimo Sartelli; Giuseppe Spinoglio; Michael Sugrue; Edward Tan; Paschalis Gavriilidis; Dieter Weber; Yoram Kluger; Fausto Catena
Journal:  World J Emerg Surg       Date:  2022-01-20       Impact factor: 5.469

  5 in total

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