https://doi.org/10.1016/j.ijans.2022.100432Get rights and content The clinical decision-making approach is an ongoing process in the nursing clinical setting and has an impact on the survival of the patient under their care. To assess clinical decision-making approaches among hospital nurses. An institutional-based cross-sectional study was conducted from March 20 to April 4, 2018. A single population proportion formula for sample size determination and stratified sampling technique was used to select the study participants. The data was gathered using a pretested, structured, self-administered questionnaire and trained data collectors. The data was analyzed using SPSS version 20. To explain the study variables, frequency tables, figures, and percentages were used. Bivariable and multivariable logistic regressions were used to see the association between independent and dependent variables. Among the total participants, 44.3% had intuitive and 55.7% had analytical decision-making approaches. Being at a higher educational level (aOR = 3.49, 95 % CI (1.45, 13.16)), having 10 years experience, having a high workload (aOR = 0.54, 95 % CI (0.37,0.42)) and having training (aOR = 3.11, 95 % CI (1.83, 5.28)) were significantly associated with intuitive clinical decision making. The intuitive decision-making approach was lower as compared to most of the previous studies. Variables such as higher experience, the high workload in the working unit, and talking training in clinical decision-making were significantly associated with the intuitive decision-making approach. Therefore, policymakers ought to implement the standard nurse-to-patient ratio and design training on how to handle the patient in different situations to achieve a good decision-making approach. Intuitive decision-making CCT Cognitive Continuum Theory CDM SPSS Statistical Package for Social Science Software UOGCSH University Gondar Comprehensive Specialized Hospital This website uses cookies. By continuing to use this website you are giving consent to cookies being used. For information on cookies and how you can disable them visit our Privacy and Cookie Policy. Got it, thanks!
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Nurse identification of patient deterioration is critical, particularly during the COVID-19 pandemic, as patients can deteriorate quickly. While the literature has shown that nurses rely on intuition to make decisions, there is limited information on what sources of data experienced nurses utilize to inform their intuition. The objectives of this study were to identify sources of data that inform nurse decision-making related to recognition of deteriorating patients, and explore how COVID-19 has impacted nurse decision-making.
In this qualitative study, experienced nurses voluntarily participated in focused interviews. During focused interviews, expert nurses were asked to share descriptions of memorable patient encounters, and questions were posed to facilitate reflections on thoughts and actions that hindered or helped their decision-making. They were also asked to consider the impact of COVID-19 on nursing and decision-making. Interviews were transcribed verbatim, study team members reviewed transcripts and coded responses, and organized key findings into themes.
Several themes related to decision-making were identified by the research team, including: identifying patient care needs, workload management, and reflecting on missed care opportunities to inform learning. Participants (n = 10) also indicated that COVID-19 presented a number of unique barriers to nurse decision-making.
Findings from this study indicate that experienced nurses utilize several sources of information to inform their intuition. It is apparent that the demands on nurses in response to pandemics are heightened. Decision-making themes drawn from participants’ experiences can to assist nurse educators for training nursing students on decision-making for deteriorating patients and how to manage the potential barriers (e.g., resource constraints, lack of family) associated with caring for patients during these challenging times prior to encountering these issues in the clinical environment. Nurse practice can utilize these findings to increase awareness among experienced nurses on recognizing how pandemic situations can impact to their decision-making capability. Citation: Anton N, Hornbeck T, Modlin S, Haque MM, Crites M, Yu D (2021) Identifying factors that nurses consider in the decision-making process related to patient care during the COVID-19 pandemic. PLoS ONE 16(7): e0254077. https://doi.org/10.1371/journal.pone.0254077 Editor: Manuel Fernández-Alcántara, Universitat d’Alacante, SPAIN Received: March 5, 2021; Accepted: June 21, 2021; Published: July 2, 2021 Copyright: © 2021 Anton et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: Data cannot be shared publicly because of subject identifiable information. Data are available from the Purdue Institutional Data Access / Ethics Committee (contact via ) for researchers who meet the criteria for access to confidential data. Funding: DY, TH, and MH received a grant funded by the National Science Foundation (Grant #: IIS-1928661) to support this work. www.https://www.nsf.gov/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist. In hospital settings, the failure to identify deteriorating patients can lead to delays in appropriate patient care [1–3], which can cause increased morbidity and mortality [4, 5]. A recent qualitative study of surgical intensive care unit (ICU) nurses found that their ability to quickly identify deteriorating patients led to the early deployment of the rapid response team [6]. Early nurse intervention to manage patient deterioration may be particularly critical in managing patients suffering from the SARS-CoV-2-causing Coronavirus Disease 19 (COVID-19). Patients suffering from COVID-19 can deteriorate quickly requiring rapid decision-making and responses from health care providers [7]. Although it is known that nurses routinely make accurate, life-saving decisions, it is less well known what sources of information nurses utilize in their clinical decision-making. Investigators have shown that expert nurses possess both an understanding of specific disease processes and a broad holistic understanding of acute patient care situations [8]. Based on their wealth of experience, expert nurses may utilize intuitive or subconscious decision-making processes to quickly grasp complex clinical situations, rapidly and confidently come to an accurate assessment and provide safe quality care to patients [9, 10]. According to Benner et al. (1992), the application of the Dreyfus model of skill acquisition to clinical nursing practice has helped explain how nurse decision-making develops over time [11, 12]. The authors suggest that over time, nurses transition from reliance on abstract principles to use of past experiences to guide performance. Expert nurses shift from reliance on rule-based thinking (e.g., checklists or rigid protocols) to using intuition, therefore the expert nurse is able to attend selectively to details of increasingly complex situations [11]. However, the literature also emphasizes the importance of nurses’ critical thinking in their decision-making processes. Shoulders et al. (2014) define the nursing process as the thought process used to collect information, assess that information, and solve patient care problems [13]. Upon systematically gathering data, nurses utilize critical thinking to interpret that data and identify task-relevant data to focus on during the assessment process. Nurses may also utilize critical thinking in their analysis of the reliability of important information and as a method to validate initial judgments in the assessment process [14]. It is important to note that according to the Cognitive Continuum Theory, decision-making is executed using a combination of intuition and critical thinking processes and fluctuates depending on the demands of the task (e.g., if adequate time or information is available to afford critical thinking) [15]. While research has shown that experienced nurses rely on a combination of intuition and critical thinking, few studies have attempted to identify what specific factors or sources of data inform experienced nurse decision-making when caring for deteriorating patients. Furthermore, there is a dearth of research on how immense disruptions caused by the onset of global pandemics can affect nurse clinical decision-making. Accordingly, the purposes of this study were to:
The ultimate goal of this qualitative study is to synthesize key aspects of experienced nurse intuition and decision-making that can be disseminated to nurses in training and to provide understanding of how pandemics can influence these processes. In order to achieve the aims of this study, interviews were conducted virtually with experienced nurses. Inclusion criteria for the study consisted of practicing nurses (i.e., no longer in training), who were in clinical practice at the time of interviews (i.e., not full-time academic appointment). Exclusion criteria included nurses still in training or who were non-clinical. In-depth, semi-structured interviews with nurses focused on two areas: 1) decision-making in the context of deteriorating patient recognition, and 2) the impact of COVID-19 on nurse decision-making capabilities. This study was approved by the Institutional Review Board (IRB-2020-11) and met university safety standards for conducting research during COVID-19.
Nurses with diverse backgrounds (e.g., ICU, emergency department, etc.) were invited to participate via email. Prior to the interviews, participants were provided with general information about the purpose of the study, specific examples of questions were provided to participants during recruitment, and informed consent was obtained from each participant electronically. The stopping criteria for participant recruitment was when data saturation was reached (i.e., no new information was gathered from the participants) [16]. No repeat interviews were carried out. All participants were interviewed after April 2020.
Participants provided demographic information using a REDCap survey system including age, gender, nursing and other degrees obtained, years of clinical experience, clinical specialty, bed size of the hospital, and the average number of hours worked per week.
Due to COVID-19 restrictions about face-to-face meetings and increased work demands for nurses, we hosted virtual interviews with small groups of 1–3 participants. Regardless of group size, the interviewer deliberately solicited responses to each question from each participant to prevent individuals from dominating group interviews and allow all participants to respond. While we intended to utilize a snowball sampling approach to participant recruitment, the increased work demands for nurses during the COVID-19 pandemic prevented our team from accruing an adequate sample size, as participants’ colleagues were unable to participate due to time constraints. We instead relied on purposive sampling that targeted nurses who were known to the research team and who were experienced (i.e., more than 5 years of clinical experience) and had substantial nursing education. All participants engaged in virtual focused interviews conducted via Webex (Cisco Webex, Cisco Systems, Milpitas, California), which were moderated by an expert qualitative researcher for 60–90 minutes. Aside from participants and researchers, no one else was present during the focused interviews. Each focused interview began with introductions and an overview of the purpose of the study. At this time, the interviewer shared details about her role at the university as faculty and her research interests in decision-making. Participants were then asked to share a description of their most memorable patient encounter. Additional questions were then posed to elicit clinical examples of a patient who was stable and deteriorated or a patient who was unstable but returned to being stable. Prompts were utilized to facilitate reflection on their thoughts and actions that helped or hindered their decision-making. The first two interviews our team conducted occurred in April of 2020, and the COVID-19 pandemic had already significantly affected healthcare systems in the United States. During these interviews, both participants discussed the impact of COVID-19 on nursing practice. Accordingly, our team felt questions about how nurse decision-making had been affected by the pandemic were important to include in our study. In all remaining interviews, nurses were asked to consider the impact of COVID-19 on nursing and their decision-making capabilities. The finalized interview guide can be found in S1 Appendix.
All interviews were audio-recorded, and field notes were taken during and after each interview. Recordings were de-identified and professionally transcribed verbatim. Transcriptions and findings were not made available to participants for comment or correction, as we aimed to maintain a robust data set and avoid artificially deriving consensus among participant responses if agreement was not obtained naturally. Utilizing a qualitative description approach [17], and an inductive content analysis process, each interview transcription was reviewed by study team members (i.e., including clinical subject matter experts and human factors engineers) individually and collectively after each interview. Qualitative description is a process of discovering and understanding phenomena or perspectives from a target population [18]. Qualitative description is particularly useful in healthcare-based studies, as this approach seeks to understand the perspective of those experiencing key phenomena and provides a direct description of the phenomena according to participants. In the present study, each transcript was reviewed carefully and key themes were highlighted and assigned a code. Transcripts were then carefully reviewed again and meaningful codes were grouped into themes and sub-themes. This process was iterative, as themes were refined further or removed upon subsequent analyses of additional transcripts. NVivo 12 (QSR International, Melbourne, Australia) was used as a data repository to sort codes, themes, and complete an analysis of participants’ responses based on common words to identify which participants used similar terminology [19, 20]. In order to increase the rigor of our findings, our team utilized a triangulation approach to our analysis (i.e., as defined by Lincoln & Guba, 1985) [21]. Triangulation among our interdisciplinary study team included regular virtual meetings to reach consensus about a coding framework, to aggregate codes into themes, and identify sub-themes. Data saturation was reached with 10 participants, as no new themes emerged from the final interview. A total of 10 nurses (100% females) participated in the focused interviews (Fig 1). No prospective participants refused to participate or dropped out from the study. Units where nurses spend the majority of their time were: primary care (n = 1), intensive care unit (n = 3), palliative care (n = 1), long-term care (n = 2), medical-surgical acute care(n = 2), and risk analysis (n = 1).
Findings from the focused interviews established fundamental components of nurse decision-making, and also emphasized the complex tradeoffs between systems-level barriers (e.g., available resources) and the provision of safe and quality care to patients. Themes and subthemes are presented in Fig 2. Through holistic information gathering (i.e., assessing the patient, listening to patients and their families, and critically evaluating clinical findings), experienced nurses are able to narrow the scope of possible clinical problems the patient may be experiencing and rapidly identify their needs. Due to their extensive experience managing myriad presenting patients, experienced nurses possess substantial knowledge that allows them to quickly identify subtle changes in a patient’s status, and to effectively identify patient care needs. Importance of patient assessment. Experienced nurses recognize the importance of performing a thorough patient assessment and utilizing observational skills to obtain critical patient information.
Holistic approach to patient assessment. Beyond physical observations, experienced nurses consider the effects of the patient’s environment outside the care setting.
Identifying potential risks and considering the big picture. Experienced nurses also know to expect the unexpected and can use their foundation and experiences to consider the big picture of patient care.
Establishing relationships with patients and families. Experienced nurses recognize the importance of the patient’s perspective when obtaining information about their status. The patient and their family often knowingly and unknowingly share clinical information that may relate (i.e., directly or indirectly) to their acute illness or a change in status, which nurses use in their assessment of patients.
Experienced nurses are able to prioritize and bundle their care tasks based on the needs of their patients. Accordingly, this prioritization of tasks and information allows nurses the ability to retain all critical information, which enhances the effectiveness of their decision-making processes. Prioritizing critical information. Experienced nurses in the present study describe the development of cognitive schema to help them prioritize critical information and pull relevant information from long-term memory to support their decision-making processes.
Bundling care tasks. Experienced nurses bundle their face-to-face care tasks allowing them to spend more time in rooms with patients. Given the importance nurses place on building rapport with patients and gathering information through listening to information provided by patients and their families, bundling care tasks may allow for more time to potentially observe patient status changes.
Experienced nurses seek to learn from their patient experiences through critical reflection of unforeseen events or errors during care interventions, case reviews, medical researching, and debriefing with other members of the care team.
The rapid emergence of COVID-19 has had wide-ranging effects on nurses’ ability to deliver patient care. The effects of the pandemic on decision-making reported by experienced nurses ranged from the individual or intrapersonal factors (e.g., maintaining awareness for rapidly changing patient status), the interpersonal level (e.g., the inability to gather information from patient families), and to the systems level (e.g., availability of personal protective equipment (PPE) to facilitate direct contact with patients). Findings are summarized as a work system model (Fig 3) by adapting the Systems Engineering Initiative for Patient Safety (SEIPS) model [22, 23]. The original model posits that multiple work-system elements (i.e., people, environment, tasks, technology/tools, and organizational factors) interact and influence healthcare processes. Importantly, we have adapted the SEIPS model to focus on key aspects relevant to nurse decision-making that emerged through our thematic analysis. Specifically, we divided the “people” domain into interpersonal and intrapersonal factors, and have focused the “processes” on “identifying care needs”, as we feel this better captures the impact of different domains on nurses’ decision-making, and ultimately, their ability to identify care needs for patients. This theme focuses on key macro organizational effects of COVID-19 on nurses’ ability to deliver safe, quality care. Specifically, it describes organizational resources that affect nurses’ ability to make effective and timely decisions. These factors include things such as physical resources (e.g., PPE) that enable interactions with infected patients and the ability to deliver care in the clinical environment, as well as time resources to sufficiently identify care needs and treat patients. Resource availability refers to the availability of key resources, such as technology (e.g., respiratory ventilators), PPE (e.g., N-95 masks), and staff that has changed as a result of the high prevalence of COVID-19 and the high demand for these resources. Experienced nurses find that greater resource availability enhances their decision-making ability, as nurses are able to spend more time with their patients if they do not need to strictly ration PPE, they can recognize potential patient complications or deterioration if technology is available, and additional staff coverage can compensate for staff who contract COVID-19. Unfortunately, due to the abrupt onset of pandemics, PPE is extremely scarce. Nurses now must choose between conservation of supplies and patient monitoring which can potentially reduce their ability to administer care.
Time spent with patients is critical for nurse decision-making as it affords nurses more opportunities to observe changes and collect information, which informs their ability to identify potential issues and respond. A surprising finding on the impact of COVID-19 is on time resources. Prior to the pandemic, time spent interacting with families represented a significant time allocation for nurses on care delivery. Since the onset of COVID-19 and the elimination of family visitors, nurses may experience more time availability to directly interact with patients, as additional time is needed to observe changes and recognize health abnormalities in COVID-19-infected patients.
However, there is also the possibility that due to COVID-19, nurses must spend more time donning and doffing PPE and following COVID-19-related protocols than before. This time requirement could ultimately offset the additional time afforded by restrictions to family and visitors that would normally demand nurses’ attention.
Technology is a resource whose availability can significantly impact the quality of care. The integration of various physiological sensors and monitors into the electronic medical record (EMR) can allow for automatic charting and trending data to be extracted by nurses, which can give them in-depth insight into how a patient’s status has evolved since their arrival at the hospital. This is particularly helpful to document trends in COVID patient status.
Interpersonal factors refer to the key individuals or groups of people who are involved in the COVID-19 care process mentioned by experienced nurses in the interviews. The healthcare team consists of providers who care for patients, specifically nurses and physicians. Under normal conditions and depending on the patient’s situation, they may have a support system consisting of family members present throughout their stay in the hospital. As a result of COVID-19, families are unable to be in the healthcare facility with the patient. Thus, families play a smaller role in the care process than usual. Although this is a change due to necessity and not choice, the nurses in this study find that the absence of family members in the COVID-19 restricted care setting prevents nurses from having an additional source of information about potential changes in patient status. Additionally, the lack of family presence can also result in patients experiencing negative emotional states.
The heightened workload associated with COVID-19 has also put a strain on staff interpersonal relationships. For nurses in leadership positions, they must be mindful about acknowledging the contributions of team members.
Intrapersonal factors refer to key psychological or experiential traits of persons that can ultimately contribute to clinical care outcomes. Experienced nurses highlight the importance of situation awareness and close monitoring of patient status, including vital signs and behavior, particularly during COVID-19, as patient status can change rapidly.
Nurses report that despite the stressful care environment that COVID-19 presents, their care teams maintain a more determined and grateful mindset and an overall comradery with other members of the care team that helps them maintain a positive disposition, accomplish the tasks required for effective patient care, and enable them to more easily recognize patient issues.
However, not all healthcare environments are positive. In situations and settings where there is failure or extreme exhaustion when caring for COVID-19 patients and dealing with protocols related to COVID-19 (e.g., PPE), nurse morale suffers. Therefore, it is likely that patient care can be compromised due to disengagement.
The goals of the present study were to identify what elements contribute to experienced nurse decision-making when caring for deteriorating patients and explore how the COVID-19 pandemic has impacted nurse decision-making. In summary, we found that experienced nurses are cognizant of the importance of conducting a thorough patient assessment and consulting trends in patients’ health status that are documented in the EMR, but also consider factors in their patients’ environment (i.e., socio-economic status, living situation, etc.) that could be impacting their health and presenting illness. Furthermore, experienced nurses gather information from communicating with patients and their families. All of these factors help nurses maintain a perspective on the “big picture” and identify risks to their patients’ health based on all of the aforementioned factors. The experienced nurses in this study referenced their ability to systematically work through this multitude of factors quickly, and utilize critical thinking to accept or deny information based on its credibility or pertinence. This finding is supported by the literature on critical thinking in nurse decision-making, as the use of critical thinking for data verification and analysis is an important cognitive skill for nurse effectiveness [13, 14]. Furthermore, participating nurses reported that, through experience, they have learned to rapidly process this information to consider the potential reasons for patient deterioration. While critical thinking is assuredly a component of this analysis, it is likely combined with experience-derived intuition to rapidly rule out reasons for patient deterioration in the assessment process. Utilizing the Cognitive Continuum Theory [15], we can better understand that experienced nurses likely use a combination of critical thinking and intuition in their decision-making processes. Experienced nurses also highlighted the importance of workload management in their ability to make effective clinical decisions. Working memory is a cognitive system responsible for the temporary storage of information used in complex cognitive actions including learning, reasoning, and comprehension [24]. However, this system has finite capacity limits. Cognitive load refers to the demands imposed on working memory, which, if excessive, can exceed an individual’s capacity and lead to undesired consequences [25]. For example, cognitive overload can reduce an individual’s sensitivity to task-relevant information, slow their decision-making, and reduce their capacity to attend to task-relevant verbal information [26, 27]. Nurses are faced with inherently high cognitive load in their work, and experienced nurses in this study reported utilizing cognitive schema to “stack” and prioritize critical patient care information, which effectively transitions information from working memory to long-term memory and allows them to incorporate large amounts of information in their decision-making process. Furthermore, cognitive schema also allows experienced nurses to pull relevant information from their long-term memory to help make effective decisions. Conversely, novice nurses may not have developed cognitive schema to manage patients due to their inexperience, which leads to inhibited working memory and high cognitive load in the clinical environment [28]. Helping nurses manage their workload effectively is paramount for educators, as high cognitive load can lead nurses to a failure in situation awareness and recognition of deteriorating patients in a timely manner [29]. However, due to COVID-19, nurses are currently being forced to significantly adapt their practice, and it is important to consider the potentially deleterious effects pandemics can have on their decision-making. Preventing patient families from being in hospitals due to COVID presents a double-edged sword to nurses. While nurses are not being asked to “run errands” for families, which can be time-consuming, they are losing a vital source of information to inform their decision-making. We also found that PPE restrictions were limiting the amount of face-to-face contact they were able to have with patients, which again represents the loss of a vital source of patient information. Failure to recognize deteriorating patients has been highlighted in the literature as one of the leading causes of poor patient outcomes when they are hospitalized, and leads to significantly higher morbidity and mortality due to delays in provision of timely and appropriate care [1–5]. This is particularly true during pandemics, as the experienced nurses interviewed in the current study highlighted the importance of recognizing rapidly deteriorating COVID patients in being able to effectively treat them. That being said, if nurses are limited in their ability to have direct contact with patients due to PPE restrictions or losing families as a source of patient data, they may miss important markers of patient status changes and fail to recognize patient deterioration. It is clear that the demands on nurses in response to pandemics are heightened. Nurses are required to care for critically sick patients that could rapidly deteriorate [30]. Therefore, nurses can easily experience heightened stress, fatigue due to staff constraints (i.e., other nurses becoming ill and not being able to work, and a high number of patients per nurse), and even burnout. These factors could, in turn, negatively impact nurses’ awareness and vigilance of patient status, which has been shown to negatively impact nurses’ ability to identify critical status changes and appropriately escalate care protocols [31]. Also, due to the unique clinical challenges that caring for COVID-19 patients can present, even experienced nurses are not able to rely on intuition to inform their decision-making. The Dreyfus model of skill acquisition indicates that as a healthcare provider gains experience, they increasingly rely on intuition to make expeditious clinical decisions [11]. However, given the novelty of COVID-19, experienced nurses may not be able to rely on their previously-developed skills to care for these patients, and they could be susceptible for cognitive overload that can impedes their awareness and decision-making. There were some limitations with this study. First, our team utilized a purposive sampling approach for study participants, which can potentially bias results due to under-representation of nursing in general, and a lack of generalizability of findings. Our team did aim to conduct snowball sampling and recruit participants who were colleagues of initial participants, but were unknown to the researchers. However, due to the COVID-19 pandemic and the resulting workforce demands for clinical nurses, our team was unable to accrue an adequate sample size relying on snowball sampling only. We were instead forced to rely on a more purposive sampling approach, and several participants were known to the researchers. This approach allowed us to purposely sample very experienced nurses (i.e., 8 of 10 participants had more than 10 years of experience), whose responses may provide valuable insights on the factors that impact nurse decision-making and how nurses have had to adapt due to the COVID-19 pandemic. Another limitation of this study was our seemingly homogenous study sample. All interviewed nurses were female, and the majority of respondents were between 40–49 years of age with MSN degrees. However, as we previously detailed, it was our intention to recruit experienced nurses to reflect on their clinical experiences caring for deteriorating patients, which is why our study sample is older. Furthermore, the fact that all participants in our study were female is reflective of national nursing employment trends, as the National Sample Survey of Registered Nurses conducted by the United States Health Resources and Services Administration in 2018 found that only 9.6% of registered nurses in the country were male [32]. The participating nurses in our study were diverse, however, in their nursing specialties and work setting (i.e., hospital size), which adds to the generalizability of our findings. Lastly, we did not solicit participant feedback on emerging themes or their specific responses to questions for clarification, which some may perceive to limit trustworthiness in our data. In regards to the trustworthiness or rigor of our findings, Lincoln and Guba (1985) suggest that in naturalistic studies, there are several techniques that are appropriate to establish validity, reliability, and objectivity [21]. These techniques include member checks, triangulation, and prolonged engagement, among others. According to the authors, member checks, or the process of continuously soliciting reactions of participants to the investigator’s reconstruction of data themes based on responses is the most important technique for establishing trustworthiness [33]. However, Sandelowski (1993) contends that member checks are designed to achieve consensus among participants on key response themes, and any attempt to increase reliability through forced consensus typically leads to diminished validity of findings [34]. Instead of utilizing member checks, our team aimed to establish trustworthiness through triangulation among sources of data and members of our research team when analyzing responses. While typically considered to be a method for establishing validity in a qualitative data set [21], this perspective assumes that triangulation between multiple sources will overcome weaknesses with certain components of the data set [35]. Conversely, our team utilized triangulation to develop a robust sample of responses from diverse nurse participants and multiple perspectives during data analysis. Our participants represented various experience levels, clinical specialties, and work settings, and our research team was constructed of nurse educators with experience in qualitative methodology and clinical education, and human factors engineers with expertise studying DM in healthcare. Thus, we are confident that our triangulation approach has allowed our data to represent multiple viewpoints from the respondent and researcher perspective. Currently, our team is in the process of obtaining validity evidence of the findings in the current study by studying nurse decision-making in simulated clinical situations. We have recruited experienced nurses to participate in two simulated cases, one being involving caring for patients suffering from COVID-19, and are utilizing objective approaches to study decision-making including eye-tracking and electroencephalogram (EEG). We hope the data obtained in this simulation-based study confirms our findings about the sources of information nurses utilize in decision-making, and the challenges nurses face when caring for patients during pandemics. Decision-making themes drawn from our participants’ experiences can assist nurse educators training nursing students on decision-making. An interprofessional partnership between nurse educators, experienced practicing nurses, and bioengineering can develop technology to assist in training novice nurses to manage potential barriers (e.g., resource constraints, lack of family) associated with caring for patients during challenging times prior to encountering care issues in the clinical environment where the patient is ultimately at risk for injury. Nursing practice can utilize these findings to increase awareness among experienced nurses on recognizing how pandemic situations can impact to their decision-making capability. https://doi.org/10.1371/journal.pone.0254077.s001 (DOCX)
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