Evidence map›Paper›PMID 32533522›Full record

ArticleMemory & cognition2020

Choice and consequence: A naturalistic analysis of least-worst decision-making in critical incidents.

Neil Shortland, Laurence Alison, Lisa Thompson, Chloe Barrett-Pink, Lauren Swan

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Memory & cognition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Decision-Making During High-Risk Events: A Systematic Literature Review.Journal of cognitive engineering and decision making · 2023
    Article
  5. "Frontiers in psychology · 2023
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Neil ShortlandCriminology and Justice Studies, University of Massachusetts Lowell, Lowell, MA, USA. neil_Shortland@uml.edu.ORCID 0000-0001-9496-4852
Laurence AlisonInstitute for Risk and Uncertainty, University of Liverpool, Liverpool, UK.
Lisa ThompsonCriminology and Justice Studies, University of Massachusetts Lowell, Lowell, MA, USA.
Chloe Barrett-PinkInstitute for Risk and Uncertainty, University of Liverpool, Liverpool, UK.
Lauren SwanInstitute for Risk and Uncertainty, University of Liverpool, Liverpool, UK.
University of Liverpool · GBUniversity of Massachusetts Lowell · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals responsible for decision-making during critical incidents must wrestle with uncertainty, complexity, time pressure, and accountability. Critical incidents are defined as rare events where demand outstrips resources and where there are high stakes, uncertainty, and dynamic and ever-shifting elements that frustrate clear predictions. This paper argues that critical-incident decision-making is highly complex because many critical incidents have no such analogue, and thus there is no prior experience to draw upon. Further, while prescriptive models argue for a selection of a "best" outcome, rarely in critical incidents is there a "best" outcome and, instead, more likely a "least-worst" one. Most options are high risk, most will carry negative consequences, and many will be immutable and irreversible once committed to. This paper analyzes data collected from critical decision method interviews with members of the United States Armed Forces to explore the psychological processes of making (or not making) least-worst decisions in high-consequence situations. Specifically, and based on thematic analysis of interviews with those who have made least-worst decisions while serving as part of the Armed Forces, we identify a host of exogenous (external to the incident such as resources, political agendas) and endogenous factors (features of the incident itself-size, scale, duration) that affect the decision-making process. These factors have, to date, not been factored into theoretical models of how high-stakes decisions are made under conditions of uncertainty.

Indexed as

Decision MakingHumansUncertaintyChoiceDecision inertiaDecision-makingLeast-worst decisionsUncertainty

Identifiers

PMID32533522
OpenAlexW3035575480

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.