Physicians' cognitive approach to prognostication after cardiac arrest. (April 2022)
- Record Type:
- Journal Article
- Title:
- Physicians' cognitive approach to prognostication after cardiac arrest. (April 2022)
- Main Title:
- Physicians' cognitive approach to prognostication after cardiac arrest
- Authors:
- Steinberg, Alexis
Grayek, Emily
Arnold, Robert M.
Callaway, Clifton
Fischhoff, Baruch
Krishnamurti, Tamar
Mohan, Deepika
White, Douglas B.
Elmer, Jonathan - Abstract:
- Abstract: Objective: Elucidate how physicians formulate a neurological prognosis after cardiac arrest and compare differences between experts and general providers. Methods: We performed semi-structured interviews with experts in post-arrest care and general physicians. We created an initial model and interview guide based on professional society guidelines. Two authors independently coded interviews based on this initial model, then identified new topics not included in it. To describe individual physicians' cognitive approach to prognostication, we created a graphical representation. We summarized these individual "mental models" into a single overall model, as well as two models stratified by expertise. Results: We performed 36 interviews (17 experts and 19 generalists), most of whom practice in Europe (23) or North America (12). Participants described their approach to prognosis formulation as complex and iterative, with sequential and repeated data acquisition, interpretation, and prognosis formulation. Eventually, this cycle results in a final prognosis and treatment recommendation. Commonly mentioned factors were diagnostic test performance, time from arrest, patient characteristics. Participants also discussed factors rarely discussed in prognostication research including physician and hospital characteristics. We found no substantial differences between experts and general physicians. Conclusion: Physicians' cognitive approach to neurologic prognostication isAbstract: Objective: Elucidate how physicians formulate a neurological prognosis after cardiac arrest and compare differences between experts and general providers. Methods: We performed semi-structured interviews with experts in post-arrest care and general physicians. We created an initial model and interview guide based on professional society guidelines. Two authors independently coded interviews based on this initial model, then identified new topics not included in it. To describe individual physicians' cognitive approach to prognostication, we created a graphical representation. We summarized these individual "mental models" into a single overall model, as well as two models stratified by expertise. Results: We performed 36 interviews (17 experts and 19 generalists), most of whom practice in Europe (23) or North America (12). Participants described their approach to prognosis formulation as complex and iterative, with sequential and repeated data acquisition, interpretation, and prognosis formulation. Eventually, this cycle results in a final prognosis and treatment recommendation. Commonly mentioned factors were diagnostic test performance, time from arrest, patient characteristics. Participants also discussed factors rarely discussed in prognostication research including physician and hospital characteristics. We found no substantial differences between experts and general physicians. Conclusion: Physicians' cognitive approach to neurologic prognostication is complex and influenced by many factors, including some rarely considered in current research. Understanding these processes better could inform interventions designed to aid physicians in prognostication. … (more)
- Is Part Of:
- Resuscitation. Volume 173(2022)
- Journal:
- Resuscitation
- Issue:
- Volume 173(2022)
- Issue Display:
- Volume 173, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 173
- Issue:
- 2022
- Issue Sort Value:
- 2022-0173-2022-0000
- Page Start:
- 112
- Page End:
- 121
- Publication Date:
- 2022-04
- Subjects:
- Cardiac arrest -- Prognostication -- Decision-making -- Hypoxic-ischemic injury
Resuscitation -- Periodicals
Resuscitation -- Periodicals
Réanimation -- Périodiques
Electronic journals
616.025 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03009572 ↗
http://www.resuscitationjournal.com/ ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03009572 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/03009572 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.resuscitation.2022.01.001 ↗
- Languages:
- English
- ISSNs:
- 0300-9572
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 7785.420000
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