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

Background 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. Objectives To explore physicians’ strategic thought processes in ICU triage decisions and identify important factors. Methods 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. Results 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). Conclusion 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. Contributions of the study 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.

[1]  P. Gopalan,et al.  Decision‐making in ICU – A systematic review of factors considered important by ICU clinician decision makers with regard to ICU triage decisions , 2019, Journal of critical care.

[2]  L. Fuchs,et al.  The association between the patient and the physician genders and the likelihood of intensive care unit admission in hospital with restricted ICU bed capacity , 2018, QJM : monthly journal of the Association of Physicians.

[3]  D. Matamis,et al.  The impact of healthcare professionals’ personality and religious beliefs on the decisions to forego life sustaining treatments: an observational, multicentre, cross-sectional study in Greek intensive care units , 2017, BMJ Open.

[4]  D. N. Forte,et al.  Factors potentially associated with the decision of admission to the intensive care unit in a middle-income country: a survey of Brazilian physicians , 2017, Revista Brasileira de terapia intensiva.

[5]  A. Smith,et al.  An observational study of critical care physicians' assessment and decision‐making practices in response to patient referrals , 2017, Anaesthesia.

[6]  Philippe N. Tobler,et al.  Cognitive biases associated with medical decisions: a systematic review , 2016, BMC Medical Informatics and Decision Making.

[7]  Mark Nunnally,et al.  ICU Admission, Discharge, and Triage Guidelines: A Framework to Enhance Clinical Operations, Development of Institutional Policies, and Further Research , 2016, Critical care medicine.

[8]  C. Carvalho,et al.  Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study , 2016, Critical Care.

[9]  Joseph Dahine,et al.  The Perceived Likelihood of Outcome of Critical Care Patients and Its Impact on Triage Decisions: A Case-Based Survey of Intensivists and Internists in a Canadian, Quaternary Care Hospital Network , 2016, PloS one.

[10]  R. Wise,et al.  Analysis of referrals and triage patterns in a South African metropolitan adult intensive care service. , 2015, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[11]  Thomas Loveday,et al.  Expert and competent non-expert visual cues during simulated diagnosis in intensive care , 2014, Front. Psychol..

[12]  Edward R Fishkin,et al.  Factors Influencing Triage Decisions in Patients Referred for ICU Admission , 2013, Journal of clinical medicine research.

[13]  M. Zeelenberg,et al.  How comparing decision outcomes affects subsequent decisions: The carry-over of a comparative mind-set , 2011, Judgment and Decision Making.

[14]  A. Sherman,et al.  Measuring religious faith in cancer patients: reliability and construct validity of the Santa Clara strength of religious faith questionnaire , 2001, Psycho-oncology.

[15]  R. Nori,et al.  Individual differences and reasoning: a study on personality traits. , 2010, British journal of psychology.

[16]  Stuart A Read,et al.  Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices , 2009 .

[17]  M. Pencina,et al.  Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.

[18]  J. Scribante,et al.  National audit of critical care resources in South Africa - unit and bed distribution. , 2007, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[19]  M. Barrick,et al.  Construct, Item, and Method Bias of Cognitive and Personality Tests in South Africa , 2005 .

[20]  C. Sprung,et al.  Intensive care physicians’ attitudes concerning distribution of intensive care resources , 2004, Intensive Care Medicine.

[21]  D. Goldhill,et al.  Intensive care admission decisions for a patient with limited survival prospects: a questionnaire and database analysis , 2004, Intensive Care Medicine.

[22]  K. Wallston,et al.  The Development of a Brief Version of the Santa Clara Strength of Religious Faith Questionnaire , 2002 .

[23]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[24]  R. Wyer,et al.  The Comparative Mind-Set FromAnimalComparisonstoIncreasedPurchaseIntentions , 2008 .

[25]  D. Consonni,et al.  Physicians' perceptions and attitudes regarding inappropriate admissions and resource allocation in the intensive care setting. , 2006, British journal of anaesthesia.

[26]  D. Teather,et al.  Expert/Novice differences in Diagnostic Medical Cognition-A Review of the Literature , 1999 .

[27]  Viktor Mikhaĭlovich Glushkov,et al.  An Introduction to Cybernetics , 1957, The Mathematical Gazette.