Evidence map›Paper›PMID 35940628›Full record

ReviewBMJ global health2022

A pyramid model to describe changing decision making under high uncertainty during the COVID-19 pandemic.

Joerg Haier, Maximilian Mayer, Juergen Schaefers, Siegfried Geyer, Denise Feldner

Abstract readReview
In one paragraph

Review in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Joerg HaierComprehensive Cancer Center Hannover, Hannover Medical School, Hannover, Germany haier.joerg@mh-hannover.de.ORCID 0000-0002-1278-9438
Maximilian MayerCenter for Advanced Security, Strategic and Integration Studies, University of Bonn, Bonn, Germany.
Juergen SchaefersComprehensive Cancer Center Hannover, Hannover Medical School, Hannover, Germany.
Siegfried GeyerInstitute for Sociology, Hannover Medical School, Hannover, Germany.
Denise FeldnerBridgehead Advisors, Strategic Advisory Think Tank, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic put healthcare systems, hospitals and medical personal under great pressure. Based on observations in Germany, we theorise a general model of rapid decision-making that makes sense of the growing complexity, risks and impact of missing evidence. While adapting decision-making algorithms, management, physicians, nurses and other healthcare professionals had to move into uncharted territory while addressing practical challenges and resolving normative (legal and ethical) conflicts. During the pandemic, this resulted in decisional uncertainties for healthcare professionals. We propose an idealised risk-based model that anticipates these shifts in decision-making procedures and underlying value frameworks. The double pyramid model visualises foreseeable procedural adaptations. This does not only help practitioners to secure operational continuity in a crisis but also contributes to improving the conceptual underpinnings of the resilience of healthcare during the next pandemic or similar future crises situations.

Indexed as

COVID-19Delivery of Health CareHealth PersonnelHumansPandemicsUncertaintyControl strategiesCOVID-19Health systemsPublic Health

Identifiers

PMID35940628
PMCPMC9364040

What OpenQuestion holds

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LicenceCC BY-NC
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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.