
NSF Org: |
IIS Division of Information & Intelligent Systems |
Recipient: |
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Initial Amendment Date: | June 12, 2020 |
Latest Amendment Date: | June 12, 2020 |
Award Number: | 2031371 |
Award Instrument: | Standard Grant |
Program Manager: |
Wendy Nilsen
wnilsen@nsf.gov (703)292-2568 IIS Division of Information & Intelligent Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | June 15, 2020 |
End Date: | January 31, 2022 (Estimated) |
Total Intended Award Amount: | $98,566.00 |
Total Awarded Amount to Date: | $98,566.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
105 JESSUP HALL IOWA CITY IA US 52242-1316 (319)335-2123 |
Sponsor Congressional District: |
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Primary Place of Performance: |
IA US 52242-1320 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | COVID-19 Research |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
The goal of this RAPID project is to model decision-making among nurses when they triage patients during the COVID-19 pandemic. Triage nurses act as frontline gatekeepers and perform a difficult balancing act during a pandemic. They must not only ensure that patients who need immediate care get it in a timely manner but must also filter incoming patients to prevent infections and to reduce undue burden on hospital resources. The complexity and risk in their decisions are influenced by how the nurses themselves perceive the risk of a pandemic, and how they associate and project their risk perception with the information a patient provides. Conventional triage decision making criteria, protocols and processes based only on a linear, discrete, ?single-symptom at a time? risk screening approach are woefully inadequate to tackle triage decisions in a pandemic of this scale and complexity. Nurses play a pivotal role in ensuring safe and timely patient care and in limiting the spread of COVID-19-like pandemics. The knowledge gained from this project about decision making and evidence-based practices during crises will benefit organizations worldwide, by proving data on factors that make decision-making. These data can drive training and guidelines development.
Triage nurses routinely make triage decisions about patients. But, during a pandemic, they make particularly complex and risky decisions. Triage decision making criteria and protocols must reflect a deep understanding of how nurses weigh patient symptoms, and match them to disease conditions, while also managing a multitude of complex, interrelated decision constraints, including their own risk perceptions, and limited, uncertain, confounding information, in the midst of a pandemic with major safety consequences. To identify the constraints nurses face when making triaging decisions, and to model the strategies they use when triaging, the project studies triage nurses from two large academic medical centers. The project retrospectively analyzes triage phone calls for patient risk screening, prospectively records screens nurses use as information sources, and interviews nurses about their constraints, strategies, risk perception and cognitive workload. The project maps a nurse?s patient-specific decision-making trajectories to reveal their constraints and how they managed them. Cumulatively, the data is expected to reveal generalizable strategies for triage decisions during catastrophic events.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The process of triaging involves screening patients, assessing the acuity of their medical conditions, and making critical decisions about patient risks. Triaging decisions impact the interventions, treatments, and recommendations that patients must follow. In response to the COVID-19 pandemic, volunteer triage nurses assembled in hospitals around the world to manage the surge in demand for care. They acted as frontline gatekeepers and the first points of contact for potential COVID-19 patients. Based on a patient’s description of their symptoms, triage nurses needed to make lifesaving decisions such as when to call 911, whether to schedule a video visit, whether a hospital visit was necessary, or if a patient could stay home or call back if and when symptoms worsened - such decisions were constrained by changing information and guidelines and limited resources. The complexity of the triaging process during a pandemic increases significantly when symptoms of other known diseases, chronic and acute conditions are confounded with the symptoms of an emergent pathogen. Therefore, it is critical to understand the constraints triage nurses face and the strategies they use to make decisions during a pandemic of this scale and complexity, so that we can design future hospital triaging systems for pandemic readiness. To better understand how triage nurses made decisions, what constraints they faced, what strategies they used to make their decisions, and how they felt doing this work during a pandemic, we conducted interviews, analyzed triage call transcripts, and administered workload surveys in two academic medical centers.
Results show that nurses encountered significant constraints in providing recommendations to patients, especially because the pandemic limited the traditionally available healthcare resources. The nurses could not ask patients to visit the hospital like they could have in pre-pandemic times, so determining the most appropriate next step for the patient was difficult. In effect, triage nurses were no longer fielding simple phone calls to direct patients to specific hospital units for treatment. A major organizational constraint faced by nurses was the need to handle the large and rapid volumes of patient calls while experiencing a high degree of staff shortage. Furthermore, COVID-19 specific triaging protocols were not available, further constraining nurses to use existing respiratory illness triage guidelines for COVID-19. Worse still, the list of symptoms of COVID-19 continually expanded, making it challenging and mentally demanding for the nurses to chart out a clear course of recommendation for the patient. Nurses worked with evolving evidence and ambiguous guidance about COVID, especially at the beginning of the pandemic. Routine triage algorithms became less useful due to COVID-19 symptoms significantly confounding with common flu, cold, asthma, anxiety attacks, and other respiratory or cardiac conditions. Therefore, they had to bank more on their prior expertise and experience to fine-tune and make decisions. Their expertise was found to be lifesaving, sometimes helping to instantly recognize an urgent situation that required a 911 call or an immediate visit to the emergency room. Nurses also balanced limited healthcare resources with patient preferences and needs. They used a variety of information sources, including national, state, and local public health guidance. However, the changing guidelines and the evolving scientific evidence posed significant challenges in making and managing their decisions and added to their time demands. Teamwork and organizational support played important and positive roles in triaging and knowledge sharing. There was considerable variability in how nurses perceived their own risk of getting COVID-19 and in their confidence in managing symptoms if they became COVID positive. In the initial months of the pandemic, triage nurses were fearful of bringing the virus to their family but expressed confidence due to the safety precautions they followed. In general, the nurses experienced significant mental demands, physical fatigue, and workload during the pandemic – they managed a high volume of calls during every surge, leading to significant workload and exhaustion. But they also expressed a great sense of satisfaction in helping patients during this dire time of need.
Project outcomes and findings will benefit triage nurses worldwide by highlighting the important work of triage nurses, showcasing their expertise for better knowledge sharing, and presenting their challenges for better policy making and organizational support and readiness. The project trained a STEM graduate student in solutions to complex and urgent real-world problems by providing interdisciplinary training.
These results show that, as part of enhancing organizational readiness and future preparedness of our healthcare system, designing an effective triaging system requires a tight integration of information technology and human resources, and an effective organization of the work system infrastructure to better aid triage nurses and support a fragile healthcare workforce, including first responders during a pandemic. The results and recommendations from this work will be published in scientific journals and conference proceedings.
Last Modified: 05/29/2022
Modified by: Priyadarshini Pennathur
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