Alyshah Kaba

Dr. Alyshah Kaba


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
16 July 2019 in Advances in Simulation
Verified
Journal Article
Open access
PDF file
AKAlyshah Kaba
Alyshah Kaba
SBSue Barnes
Sue Barnes
Development and reconstruction of new healthcare facilities and spaces has the potential for latent safety threats to emerge, specifically unintentional harm that could affect actual patients once the facility opens, such as missing equipment, inefficient setup, or insufficient space for procedures. Process-orientated simulation and testing is a novel innovation in healthcare. The aim of process-orientated simulations and debriefing is to examine the process of care, rather than the outcome of care. These simulations, which take place in actual patient care settings and environments prior to occupancy, are an emerging strategy that can be used to test new environments and new healthcare facilities to ensure that the spaces created match the needs of the staff and administration, while proactively identifying latent safety threats prior to delivering patient care. In turn, these simulations can be also be used as part of the new site orientation and training plan. The aim of this paper is to examine a case study describing the use of the novel innovation of process-orientated simulations to test the opening of a new 300-bed healthcare facility.

6 May 2019 in HERD: Health Environments Research & Design Journal
Verified
Journal Article
Closed access
PDF file
MDMirette Dubé
Mirette Dubé
JSJonas Shultz
Jonas Shultz
SBSue Barnes
Sue Barnes
BPBobbi Pascal
Bobbi Pascal
AKAlyshah Kaba
Alyshah Kaba
Purpose: The aim of this article is to outline overall goals, recommendations, and provide practical How-To strategies for developing and facilitating patient safety and system integration (PSSI) simulations for healthcare team members and organizations. Background: Simulation is increasingly being used as a quality improvement tool to better understand the tasks, environments, and processes that support the delivery of healthcare services. These PSSI simulations paired with system-focused debriefing can occur prior to implementing a new process or workflow to proactively identify system issues. They occur as part of a continuous cycle of quality improvement and have unique considerations for planning, implementation, and delivery of healthcare. Method: The Delphi technique was used to develop the recommendations and How-To strategies to guide those interested in conducting a PSSI simulations. The Delphi technique is a structured communication technique and systematic process of gathering information from a group of identified experts through a series of questionnaires to gain consensus regarding judgments on complex processes, where precise information is not available in the literature. The Delphi technique permitted an iterative and multistaged approach to transform expert opinions into group consensus. Results: The goals, recommendations, and How-To strategies include a focus on project management, stakeholder engagement, sponsorship, scenario design, prebriefing and debriefing, and evaluation metrics. The intent is to proactively identify system issues and disseminate actionable findings. Conclusions: This article highlights salient features to consider when using simulation as a strategy and tool for patient safety and quality improvement.

29 April 2021 in Advances in Simulation
Verified
Journal Article
Open access
PDF file
MDMirette Dubé
Mirette Dubé
GPGlenn Posner
Glenn Posner
KSKimberly Stone
Kimberly Stone
MWMarjorie White
Marjorie White
AKAlyshah Kaba
Alyshah Kaba
JRJennifer Reid
Jennifer Reid
Healthcare organizations strive to deliver safe, high-quality, efficient care. These complex systems frequently harbor gaps, which if unmitigated, could result in harm. Systems-focused simulation (SFS) projects, which include systems-focused debriefing (SFD), if well designed and executed, can proactively and comprehensively identify gaps and test and improve systems, enabling institutions to improve safety and quality before patients and staff are placed at risk.The previously published systems-focused debriefing framework, Promoting Excellence and Reflective Learning in Simulation (PEARLS) for Systems Integration (PSI), describes a systematic approach to SFD. It includes an essential “pre-work” phase, encompassing evidence-informed steps that lead up to a SFD. Despite inclusion in the PSI framework, a detailed description of the pre-work phase, and how each component facilitates change management, was limited.The goal of this paper is to elucidate the PSI “Pre-work” phase, everything leading up to the systems-focused simulation and debriefing. It describes how the integration of project and change management principles ensures that a comprehensive collection of safety and quality issues are reliably identified and captured.

14 February 2017 in Advances in Simulation
Verified
Journal Article
Open access
PDF file
JJJessica Jones
Jessica Jones
MWMatthew Wilkins
Matthew Wilkins
JCJeff Caird
Jeff Caird
AKAlyshah Kaba
Alyshah Kaba
ACAdam Cheng
Adam Cheng
IMIrene W. Y. Ma
Irene W. Y. Ma
Interruptions are common in the healthcare setting. This experimental study compares the effects of interruptions on simulated performances of central venous catheterization during a highly versus minimally complex portion of the task. Twenty-six residents were assigned to interruptions during tasks that are (1) highly complex: establishing ultrasound-guided venous access (experimental group, n = 15) or (2) minimally complex: skin cleansing (control group, n = 11). Primary outcomes were (a) performance scores at three time points measured with a validated checklist, (b) time spent on the respective tasks, and (c) number of attempts to establish venous access. Repeated measure analyses of variances of performance scores over time indicated no main effect of time or group. The interaction between time and group was significant: F (2, 44) = 4.28, p = 0.02, and partial eta2 = 0.16, indicating a large effect size. The experimental group scores decreased steadily over time, while the control group scores increased with time. The experimental group required longer to access the vein (148 s; interquartile range (IQR) 60 to 361 vs. 44 s; IQR 27 to 133 s; p = 0.034). Median number of attempts to establish venous access was higher in the experimental group (2, IQR 1–7 vs. 1, IQR 1–2; p = 0.03). Interruptions during a highly complex task resulted in a consistent decrement in performance scores, longer time required to perform the task, and a higher number of venous access attempts than interruptions during a minimally complex tasks. We recommend avoiding interrupting trainees performing bedside procedures.

1 February 2017 in American Journal of Infection Control
Verified
Journal Article
Closed access
AKAlyshah Kaba
Alyshah Kaba
ABAndrea Baumann
Andrea Baumann
CKCamille Kolotylo
Camille Kolotylo
NANoori Akhtar-Danesh
Noori Akhtar-Danesh

22 November 2022 in International Journal of Healthcare Simulation
Verified
Journal Article
Open access
PDF file
AKAlyshah Kaba
Alyshah Kaba
TCTheresa Cronin
Theresa Cronin
WTWalter Tavares
Walter Tavares
THTanya Horsley
Tanya Horsley
VGVincent J Grant
Vincent J Grant
MDMirette Dube
Mirette Dube
Historically simulation-based education (SBE) has primarily focused on program development and delivery as a means for improving the effectiveness of team behaviours; however, these programs rarely embed formal evaluations of the programs themselves. Logic models can provide simulation programs with a systematic framework by which organizations and their evaluators can begin to understand complex interprofessional teams and their programs to determine inputs, activities, outputs and outcomes. By leveraging their use, organizational leaders of simulation programs can contribute to both demonstrating value and impact to healthcare teams, in addition to establishing a growing culture of evaluation at any health system level. This case study describes a complex program evaluation for improving team effectiveness outputs and outcomes across more than one simulation program, discipline, speciality, department in the largest health authority in Canada and provides considerations for other simulation programs globally to advance the science of program evaluation within the SBE community. Historically simulation-based education (SBE) has primarily focused on program development and delivery as a means for improving the effectiveness of team behaviours; however, these programs rarely embed formal evaluations of the programs themselves. Logic models can provide simulation programs with a systematic framework by which organizations and their evaluators can begin to understand complex interprofessional teams and their programs to determine inputs, activities, outputs and outcomes. By leveraging their use, organizational leaders of simulation programs can contribute to both demonstrating value and impact to healthcare teams, in addition to establishing a growing culture of evaluation at any health system level. This case study describes a complex program evaluation for improving team effectiveness outputs and outcomes across more than one simulation program, discipline, speciality, department in the largest health authority in Canada and provides considerations for other simulation programs globally to advance the science of program evaluation within the SBE community.