Decision-making In Intensive Care Unit Research Articles

Decisional Satisfaction, Regret, and Conflict Among Parents of Infants with Neurologic Conditions

To characterize decisional satisfaction, regret, and conflict among parents of critically ill infants with neurologic conditions. In this prospective cohort study, we enrolled parents of infants with neurologic conditions in the intensive care unit (ICU). Hospital discharge surveys included the validated Family Satisfaction with the ICU (FS-ICU) decision making subscale, Decision Regret Scale (DRS), and Decisional Conflict Scale (DCS). We defined high satisfaction with decision making as an FS-ICU score ≥75, high decisional regret/conflict as DRS/DCS score >25, and within-couple disagreement as a difference of at least 25 points between scores. We enrolled 61 parents of 40 infants (n=40 mothers, n=21 fathers); 35 mothers and 15 fathers completed surveys. Most mothers reported high satisfaction with decision making (27 of 35; 77%) and low decision regret (28 of 35; 80%); 40% (14 of 35) reported high decisional conflict. Mothers and fathers reported higher decisional conflict in the domains of uncertainty and values clarity compared with the domain of effective decision making (Bonferroni-corrected P<.05). There were no differences in decision outcomes between paired mothers and fathers; however, within any given couple, there were numerous instances of disagreement (7 of 15 for decision regret and 5 of 15 for decisional conflict). Many parents experience decisional conflict even if they ultimately have high satisfaction and low regret, underscoring the need for decision aids targeting uncertainty and values clarity. Couples frequently experience different levels of decisional regret and conflict.

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU.

Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.Objectives: Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ICU admission.Methods: We retrospectively studied 797 patients diagnosed with COVID-19 in Iran and the United Kingdom (U.K.). To find parameters with the highest predictive values, Kolmogorov-Smirnov and Pearson chi-squared tests were used. Several machine learning algorithms, including Random Forest (RF), logistic regression, gradient boosting classifier, support vector machine classifier, and artificial neural network algorithms were utilized to build classification models. The impact of each marker on the RF model predictions was studied by implementing the local interpretable model-agnostic explanation technique (LIME-SP).Results: Among 66 documented parameters, 15 factors with the highest predictive values were identified as follows: gender, age, blood urea nitrogen (BUN), creatinine, international normalized ratio (INR), albumin, mean corpuscular volume (MCV), white blood cell count, segmented neutrophil count, lymphocyte count, red cell distribution width (RDW), and mean cell hemoglobin (MCH) along with a history of neurological, cardiovascular, and respiratory disorders. Our RF model can predict patient outcomes with a sensitivity of 70% and a specificity of 75%. The performance of the models was confirmed by blindly testing the models in an external dataset.Conclusions: Using two independent patient datasets, we designed a machine-learning-based model that could predict the risk of mortality from severe COVID-19 with high accuracy. The most decisive variables in our model were increased levels of BUN, lowered albumin levels, increased creatinine, INR, and RDW, along with gender and age. Considering the importance of early triage decisions, this model can be a useful tool in COVID-19 ICU decision-making.

Quality of life in elderly ICU survivors before the COVID-19 pandemic: a systematic review and meta-analysis of cohort studies

ObjectivesThe influence of age on intensive care unit (ICU) decision-making is complex, and it is unclear if it is based on expected subjective or objective patient outcomes. To address recent...

End-of-Life Decisions in Intensive Care Units in Croatia-Pre COVID-19 Perspectives and Experiences From Nurses and Physicians.

Healthcare professionals working in intensive care units (ICUs) are often involved in end-of-life decision-making. No research has been done so far about these processes taking place in Croatian ICUs. The aim of this study was to investigate the perceptions, experiences, and challenges healthcare professionals face when dealing with end-of-life decisions in ICUs in Croatia. A qualitative study was performed using professionally homogenous focus groups of ICU nurses and physicians (45 in total) of diverse professional and clinical backgrounds at three research sites (Zagreb, Rijeka, Split). In total, six institutions at the tertiary level of healthcare were included. The constant comparative analysis method was used in the analysis of the data. Differences were found between the perceptions and experiences of nurses and physicians in relation to end-of-life decisions. Nurses’ perceptions were more focused on the context and features of immediate care, while physicians’ perceptions also included the wider sociocultural context. However, the critical issues these specific professional groups face when dealing with end-of-life decisions seem to overlap. A high variability of practices, both between individual practitioners and between different organizational units, was omnipresent. The lack of adequate legal, professional, and clinical guidelines was commonly expressed as one of the most critical source of difficulties.

Course and predictors of posttraumatic stress-related symptoms among family members of deceased ICU patients during the first year of bereavement

Background/ObjectiveDeath in intensive care units (ICUs) may increase bereaved family members’ risk for posttraumatic stress disorder (PTSD). However, posttraumatic stress-related symptoms (hereafter as PTSD symptoms) and their precipitating factors were seldom examined among bereaved family members and primarily focused on associations between PTSD symptoms and patient/family characteristics. We aimed to investigate the course and predictors of clinically significant PTSD symptoms among family members of deceased ICU patients by focusing on modifiable quality indicators for end-of-life ICU care.MethodIn this longitudinal observational study, 319 family members of deceased ICU patients were consecutively recruited from medical ICUs from two Taiwanese medical centers. PTSD symptoms were assessed at 1, 3, 6, and 13 months post-loss using the Impact of Event Scale-Revised (IES-R). Family satisfaction with end-of-life care in ICUs was assessed at 1 month post-loss. End-of-life care received in ICUs was documented over the patient’s ICU stay. Predictors for developing clinically significant PTSD symptoms (IES-R score ≥ 33) were identified by multivariate logistic regression with generalized estimating equation modeling.ResultsThe prevalence of clinically significant PTSD symptoms decreased significantly over time (from 11.0% at 1 month to 1.6% at 13 months post-loss). Longer ICU stays (adjusted odds ratio [95% confidence interval] = 1.036 [1.006, 1.066]), financial insufficiency (3.166 [1.159, 8.647]), and reported use of pain medications (3.408 [1.230, 9.441]) by family members were associated with a higher likelihood of clinically significant PTSD symptoms among family members during bereavement. Stronger perceived social support (0.937 [0.911, 0.965]) and having a Do-Not-Resuscitate (DNR) order issued before the patient’s death (0.073 [0.011, 0.490]) were associated with a lower likelihood of clinically significant PTSD symptoms. No significant association was observed for family members’ satisfaction with end-of-life care (0.988 [0.944, 1.034]) or decision-making in ICUs (0.980 [0.944, 1.018]).ConclusionsThe likelihood of clinically significant PTSD symptoms among family members decreased significantly over the first bereavement year and was lower when a DNR order was issued before death. Enhancing social support and facilitating a DNR order may reduce the trauma of ICU death of a beloved for family members at risk for developing clinically significant PTSD symptoms.

Shared decision-making in the ICU from the perspective of physicians, nurses and patients: a qualitative interview study

ObjectiveTo identify views, experiences and needs for shared decision-making (SDM) in the intensive care unit (ICU) according to ICU physicians, ICU nurses and former ICU patients and their close family...

Reasons for physician-related variability in end-of-life decision-making in intensive care.

There is increasing evidence that the individual physician is the main factor influencing variability in end-of-life decision-making in intensive care units. End-of-life decisions are complex and should be adapted to each patient. Physician-related variability is problematic as it may result in unequal assessments that affect patient outcomes. The primary aim of this study was to investigate factors contributing to physician-related variability in end-of-life decision-making. This is a qualitative substudy of a previously conducted study. In-depth thematic analysis of semistructured interviews with 19 critical care specialists from five different Swedish intensive care units was performed. Interviews took place between 1 February 2017 and 31 May 2017. Factors influencing physician-related variability consisted of different assessment of patient preferences, as well as intensivists' personality and values. Personality was expressed mainly through pace and determination in the decision-making process. Personal prejudices appeared in decisions, but few respondents had personally witnessed this. Avoidance of criticism and conflicts as well as individual strategies for emotional coping were other factors that influenced physician-related variability. Many respondents feared criticism for making their assessments, and the challenging nature of end-of-life decision-making lead to avoidance as well as emotional stress. Variability in end-of-life decision-making is an important topic that needs further investigation. It is imperative that such variability be acknowledged and addressed in a more formal and transparent manner. The ethical issues faced by intensivists have recently been compounded by the devastating impact of the COVID-19 pandemic, demonstrating in profound terms the importance of the topic.

Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU

ObjectiveGlycemic control is an important component of critical care. We present a data-driven method for predicting intensive care unit (ICU) patient response to glycemic control protocols while accounting for patient heterogeneity and variations in care.Materials and MethodsUsing electronic medical records (EMRs) of 18 961 ICU admissions from the MIMIC-III dataset, including 318 574 blood glucose measurements, we train and validate a gradient boosted tree machine learning (ML) algorithm to forecast patient blood glucose and a 95% prediction interval at 2-hour intervals. The model uses as inputs irregular multivariate time series data relating to recent in-patient medical history and glycemic control, including previous blood glucose, nutrition, and insulin dosing.ResultsOur forecasting model using routinely collected EMRs achieves performance comparable to previous models developed in planned research studies using continuous blood glucose monitoring. Model error, expressed as mean absolute percentage error is 16.5%–16.8%, with Clarke error grid analysis demonstrating that 97% of predictions would be clinically acceptable. The 95% prediction intervals achieve near intended coverage at 93%–94%.DiscussionML algorithms built on observational data sources, such as EMRs, present a promising approach for personalization and automation of glycemic control in critical care. Future research may benefit from applying a combination of methodologies and data sources to develop robust methodologies that account for the variations seen in ICU patients and difficultly in detecting the extremes of observed blood glucose values.ConclusionWe demonstrate that EMRs can be used to train ML algorithms that may be suitable for incorporation into ICU decision support systems.

The Implementation of Computerized Physician Order Entry in the Intensive Care Unit

Computerized physician order entry (CPOE) has been known as a process of physician orders in an electronic way instead of the traditional paper-based system. CPOE has been included as one of core objectives in the term ‘Meaningful Use’ by Centers for Medicare and Medicaid Services. The U.S. Department of Health and Human Services Office of Inspector General reported 180,000 deaths in the United States in 2008 due to medication errors. The Institute of Medicine reported about 450,000 preventable adverse drug effects which costed additional $3.5 billion. On average, 1.7 medication errors per day and 74.5% errors in parenteral drugs administration were reported in the intensive care unit (ICU). The purpose of this research was to examine the benefits, barriers and risks of CPOE adoption in different ICUs. The methodology for this study was a literature review. Research was conducted by collecting scholarly online database and government websites. On one hand, CPOE could provide patient’s health record regardless of time and place, alerts in drug interactions, and suggest in clinical decisions in ICUs. CPOE could also reduce medication errors and adverse drug events significantly. On the other hand, CPOE could provide better solutions if it would be used with real-time conversation and as per workflow of ICUs. In addition, user satisfaction and sufficient training, were important factors in implementing CPOE with more successful and desired outcomes.

Decision-making in the ICU: An analysis of the ICU admission decision-making process using a '20 Questions' approach.

Deciding to admit a patient into the intensive care unit (ICU) is a high-stakes, high-stress, time-sensitive process. Elucidating the complexities of these decisions can contribute to a more efficient, effective process. To explore physicians' strategic thought processes in ICU triage decisions and identify important factors. Practitioners (N=29) were asked to decide on ICU referrals of two hypothetic cases using a modified '20 Questions' approach. Demographic data, decisions when full information was available, feedback on questions, rating of factors previously identified as important and influence of faith and personality traits were explored. Of the 735 questions asked, 95.92% were patient related. There were no significant differences in interview variables between the two cases or with regard to presentation order. The overall acceptance rate was 68.96%. Refusals were associated with longer interview times (p=0.014), as were lower ICU bed capacity (p=0.036), advancing age of the practitioner (p=0.040) and a higher faith score (p=0.004). Faith score correlated positively with the number of questions asked (p=0.028). There were no significant correlations with personality trait stanines. When full information was available, acceptances for Case A decreased (p=0.003) but increased for Case B (p=0.026). The net reclassification improvement index was -0.138 (p=0.248). Non-subspecialists were more likely to change their decisions (p=0.036). Limiting information to what is considered vital by using a '20 Questions' approach and allowing the receiving practitioner to create the decision frame may assist with ICU admission decisions. Practitioners should consider the metacognitive elements of their decision-making. The study used a novel approach to explore physicians' decision-making process for admitting a patient to the intensive care unit (ICU). Understanding the main factors that influence the decision-making process will allow for streamlining the referral process, more effective selection of patients most likely to benefit from ICU treatment, and prevent inappropriate admissions into the ICU. The findings can also help to improve data capture tools and encourage practitioners to critically reflect on their decision-making processes.

Ethical recommendations for a difficult decision-making in intensive care units due to the exceptional situation of crisis by the COVID-19 pandemic: A rapid review & consensus of experts

In view of the exceptional public health situation caused by the COVID-19 pandemic, a consensus work has been promoted from the ethics group of the Spanish Society of Intensive, Critical Medicine and Coronary Units (SEMICYUC), with the objective of finding some answers from ethics to the crossroads between the increase of people with intensive care needs and the effective availability of means.In a very short period, the medical practice framework has been changed to a ‘catastrophe medicine’ scenario, with the consequent change in the decision-making parameters. In this context, the allocation of resources or the prioritization of treatment become crucial elements, and it is important to have an ethical reference framework to be able to make the necessary clinical decisions. For this, a process of narrative review of the evidence has been carried out, followed by unsystematic consensus of experts, which has resulted in both the publication of a position paper and recommendations from SEMICYUC itself, and the consensus between 18 scientific societies and 5 institutes/chairs of bioethics and palliative care of a framework document of reference for general ethical recommendations in this context of crisis.

How is family involved in clinical care and decision-making in intensive care units? A qualitative study

Background: Involving family members in patient care is considered as a significant dimension of family-centered care in intensive care units (ICUs). Aims: To describe family members’ perceptions and experiences regarding involvement in clinical care delivery and decision-making in ICUs in Iran. Design: A qualitative research method using conventional content analysis. Methods: A total number of 24 participants were selected through purposive sampling method between 2018 and 2019. Each interview also lasted between 30 and 60 min and the inductive data analysis was used. Results: The findings revealed that non-agreed involvement in clinical care delivery and family involvement in decision-making is being implemented on a continuum of paternalistic views. Conclusion: Healthcare providers, particularly nurses, and policy makers can thus exploit these findings to strengthen family involvement in this regard and consequently improve quality of care. Impact statement: A non-agreed approach and paternalistic views along with some barriers can affect family members’ involvement in providing clinical care and making decisions in ICUs in Iran.

Ethical content of expert recommendations for end-of-life decision-making in intensive care units: A systematic review.

Intensive care unit health care professionals must be skilled in providing end-of-life care. Crucial in this kind of care is end-of-life decision-making, which is a complex process involving a variety of stakeholders and requiring adequate justification. The aim of this systematic review is to analyse papers tackling ethical issues in relation to end-of-life decision-making in intensive care units. It explores the ethical positions, arguments and principles. A literature search was conducted in bibliographic databases and grey literature sources for the time period from 1990 to 2019. The constant comparative method was used for qualitative analysis of included papers in order to identify ethical content including ethical positions, ethical arguments, and ethical principles used in decision-making process. In the 15 included papers we have identified a total of 43 ethical positions. Ten positions were identified as substantive, 33 as procedural. Twelve different ethical principles emerged from the ethical arguments. The most frequently used principles are the principles of beneficence, autonomy and nonmaleficence. We have demonstrated that recommendations and guidelines designed specifically by intensive or critical care experts for intensive care units promote similar ethical positions, with minimal dissenting positions.

Evolving concepts in guidelines for analgesic and sedative treatment

In 2018, Society of Critical Care Medicine(SCCM) and Chinese Society of Critical Care Medicine(CSCCM) drawn up guidelines for analgesic and sedative treatment in adult patients in intensive care unit successively.In 2019, emergency group of Chinese Pediatric Society, Chinese Medical Association published the experts′ consensus on sedation and analgesia for children in pediatric intensive care unit of China . The new guidelines have been revised and updated on basis of previous ones.Especially, some new concepts have been gradually implemented.This paper seeked to summarize these new concepts and aid clinicians in clinical decision-making in intensive care unit. Key words: Analgesic; Sedative; Guideline

Perceptions of Collaboration and Satisfaction with Collaboration Regarding Care Decision-Making in Intensive Care Units in Japan: A National Survey

Multi-professional collaboration is being promoted worldwide as a response to the need for sophisticated medical care and for catering to patients’ diverse needs. Patients in Intensive Care Units (ICUs) are seriously ill, and their families may be at risk depending on the patient’s situation. Considering these characteristics of patients and families, there is a strong need for multi-professional collaboration within ICUs. The purpose of this descriptive study was to examine recognition and other factors related to collaboration and satisfaction involving care decisions in Japanese ICUs. A mail survey about collaboration of activities and systems was sent to physicians, clinical engineers, and nurses working in ICUs in Japan, 387 consented to participate in this study. Results showed that satisfaction scores were generally high among the three aforementioned professions, but collaboration scores on deciding care for patients showed significant differences (p < 0.05). The total collaboration score was the highest among physicians (36.7 ± 6.7 points), followed by nurses (32.8 ± 7.4 points), and CEs (32.8 ± 7.4 points). The factors that commonly affected collaboration scores were the satisfaction score and the ability to collaborate with other professionals and set team medical care as a goal. Moreover, it is worth noting that the degree of difficulty in collaboration negatively affected this factor. On the other hand, other factors differed among the three professions, suggesting that the purpose and need for collaboration differ depending on the profession.

Time-limited trials: A qualitative study exploring the role of time in decision-making on the Intensive Care Unit

BackgroundWithholding and withdrawing treatment are deemed ethically equivalent by most Bioethicists, but intensivists often find withdrawing more difficult in practice. This can lead to futile treatment being prolonged. Time-limited trials have been proposed as a way of promoting timely treatment withdrawal whilst giving the patient the greatest chance of recovery. Despite being in UK guidelines, time-limited trials have been infrequently implemented on Intensive Care Units. We will explore the role of time in Intensive Care Unit decision-making and provide a UK perspective on debates surrounding time-limited trials.MethodsThis qualitative study recruited 18 participants (nine doctors, nine nurses) from two Intensive Care Units in North West England for in-depth, one-to-one semi-structured interviews. A thematic analysis was performed of the data.ResultsOur findings show time is utilised by Intensive Care Unit staff in a variety of ways including managing uncertainty when making decisions about a patient’s prognosis or the reversibility of a disease, constructing relationships with patients’ relatives, communicating difficult messages to patients’ relatives, justifying resource allocation decisions to colleagues, and demonstrating compassion towards patients and their families.ConclusionsTime shifts the balance towards greater certainty in Intensive Care Unit decision-making, by demonstrating futility, and can ease the difficult transition for staff and families from active treatment to palliation. However, this requires clear and open communication, both within the Intensive Care Unit team and with the family, being prioritised when time is used in decision-making.

Implementing an intervention to improve decision making around referral and admission to intensive care: Results of feasibility testing in three NHS hospitals.

Rationale, aims, and objectivesDecisions about whether to refer or admit a patient to an intensive care unit (ICU) are clinically, organizationally, and ethically challenging. Many explicit and implicit factors influence these decisions, and there is substantial variability in how they are made, leading to concerns about access to appropriate treatment for critically ill patients. There is currently no guidance to support doctors making these decisions. We developed an intervention with the aim of supporting doctors to make more transparent, consistent, patient‐centred, and ethically justified decisions. This paper reports on the implementation of the intervention at three NHS hospitals in England and evaluates its feasibility in terms of usage, acceptability, and perceived impact on decision making.MethodsA mixed method study including quantitative assessment of usage and qualitative interviews.ResultsThere was moderate uptake of the framework (28.2% of referrals to ICU across all sites during the 3‐month study period). Organizational structure and culture affected implementation. Concerns about increased workload in the context of limited resources were obstacles to its use. Doctors who used it reported a positive impact on decision making, with better articulation and communication of reasons for decisions, and greater attention to patient wishes. The intervention made explicit the uncertainty inherent in these decisions, and this was sometimes challenging. The patient and family information leaflets were not used.ConclusionsWhile it is feasible to implement an intervention to improve decision making around referral and admission to ICU, embedding the intervention into existing organizational culture and practice would likely increase adoption. The doctor‐facing elements of the intervention were generally acceptable and were perceived as making ICU decision making more transparent and patient‐centred. While there remained difficulties in articulating the clinical reasoning behind some decisions, the intervention offers an important step towards establishing a more clinically and ethically sound approach to ICU admission.

THE APPLICATION OF CLINICAL JUDGMENT AND DECISION MAKING OF CRITICAL CARE NURSES IN INTENSIVE CARE UNITS (ICUs)

Background&#x0D; Intensive Care Unit (ICU) is the hospital setting in which applied specific application of clinical decision making and judgement. The critical patient conditions in ICU may drive nurses to make decision and clinical judgement in short period of time. The approach of clinical decision making which appropriate to be applied in the critical circumstances is important to be identified, thus it could become a guidance for novice and expert critical nurses.&#x0D; Aim &#x0D; The aim of this study was to explain how clinical decision making is applied in Intensive Care Unit (ICU) &#x0D; Method&#x0D; A systematic review of 22 articles was carried out, articles were retrieved from CINAHL, MEDLINE, PUBMED and DISCOVERED databases. The articles were critically reviewed and analized to answer this study’s aim.&#x0D; Result&#x0D; The critically review of the articles were categorized in themes: 1) application of Tanner’s clinical judgment model in ICU, 2) Types of decisions in ICU, 3) Theoretical approach: implementation of decision-making in ICU, 4) Case illustration of decision-making scheme in ICU, 5) Influencing factors of decision-making in ICU, 6) Supporting tools for clinical decision-making in ICU, 7) Understanding of attributes and concepts may enhance the quality of the clinical decision-making process in ICU, 8) Implications for nursing education and practice of understanding clinical decision making in ICU.&#x0D; Conclusions&#x0D; Critical care nurses usually combine different techniques in making decisions; analytical methods including the hypothetic-deductive method, pattern recognition, intuition, narrative thinking, and decision analysis theory are potentially applied. Clinical decision activities in ICU appear in many clinical situations, such as intervention decisions, communication decisions, and evaluation decisions. There are several factors influencing clinical decision-making in intensive care units, including nurses’ experience, the patient’s situation, the layout of the ICU, shift work, inter-professional collaboration practice, physical and personnel resources. The application of clinical decision making could be supported by systematic tools, and the nurses’ knowledge about the concepts and attributes used in ICUs affect their clinical decision-making abilities.&#x0D; &#x0D; &#x0D; Keywords: clicinal decision making, critical care nurse, ICU

Physician workload associated with do-not-resuscitate decision-making in intensive care units: an observational study using Cox proportional hazards analysis

BackgroundPhysicians play a substantial role in facilitating communication regarding life-supporting treatment decision-making including do-not-resuscitate (DNR) in the intensive care units (ICU). Physician-related factors including gender, personal preferences to life-supporting treatment, and specialty have been found to affect the timing and selection of life-supporting treatment decision-making. This study aimed to examine the influence of physician workload on signing a DNR order in the ICUs.MethodsThis is retrospective observational study. The medical records of patients, admitted to the surgical ICUs for the first time between June 1, 2011 and December 31, 2013, were reviewed. We used a multivariate Cox proportional hazards model to examine the influence of the physician’s workload on his/her writing a DNR order by adjusting for multiple factors. We then used Kaplan–Meier survival curves with log-rank test to compare the time from ICU admission to DNR orders written for patients for two groups of physicians based on the average number of patients each physician cared for per day during data collection period.ResultsThe hazard of writing a DNR order by the attending physicians who cared for more than one patient per day significantly decreased by 41% as compared to the hazard of writing a DNR order by those caring for fewer than one patient (hazard ratio = 0.59, 95% CI 0.39—0.89, P = .01). In addition, the factors associated with writing a DNR order as determined by the Cox model were non-operative, cardiac failure/insufficiency diagnosis (hazard ratio = 1.71, 95% CI 1.00—2.91, P = .05) and the Therapeutic Intervention Scoring System score (hazard ratio = 1.02, 95% CI 1.00—1.03, P = .03). Physicians who cared for more than one patient per day were less likely to write a DNR order for their patients than those who cared for in average fewer than one patient per day (log-rank chi-square = 5.72, P = .02).ConclusionsOur findings highlight the need to take multidisciplinary actions for physicians with heavy workloads. Changes in the work environmental factors along with stress management programs to improve physicians’ psychological well-being as well as the quality.

Intensive care decision-making: Identifying the challenges and generating solutions to improve inter-specialty referrals to critical care.

Decision-making regarding admission to UK intensive care units is challenging. Demand for beds exceeds capacity, yet the need to provide emergency cover creates pressure to build redundancy into the system. Guidelines to aid clinical decision-making are outdated, resulting in an over-reliance on professional judgement. Although clinicians are highly skilled, there is variability in intensive care unit decision-making, especially at the inter-specialty level wherein cognitive biases contribute to disagreement. This research is the first to explore intensive care unit referral and admission decision-making using the Critical Decision Method interviewing technique. We interviewed intensive care unit (n = 9) and non-intensive care unit (n = 6) consultants about a challenging referral they had dealt with in the past where there was disagreement about the patient's suitability for intensive care unit. We present: (i) a description of the referral pathway; (ii) challenges that appear to derail referrals (i.e. process issues, decision biases, inherent stressors, post-decision consequences) and (iii) potential solutions to improve this process. This research provides a foundation upon which interventions to improve inter-specialty decision-making can be based.