Evidence map›Paper›PMID 39266018›Full record

ReviewBMJ global health2024

Prepared for the polycrisis? The need for complexity science and systems thinking to address global and national evidence gaps.

Aku Kwamie, Sara Causevic, Goran Tomson, Ali Sie, Rainer Sauerborn, Kumanan Rasanathan, Ole Petter Ottersen

Abstract readReview
In one paragraph

Review in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

7 authors.

Aku KwamieAlliance for Health Policy and Systems Research, World Health Organization, Geneva, GE, Switzerland kwamiea@who.int.ORCID http://orcid.org/0000-0003-0998-4985
Sara CausevicDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Goran TomsonDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Stockholm, Sweden.
Ali SieCentre de Recherche en Sante de Nouna, Nouna, Boucle du Mouhoun, Burkina Faso.
Rainer SauerbornInstitute for Global Health, Heidelberg University, Heidelberg, Germany.
Kumanan RasanathanAlliance for Health Policy and Systems Research, World Health Organization, Geneva, GE, Switzerland.
Ole Petter OttersenMedical Faculty, Sustainable Health Unit, University of Oslo, Oslo, Norway.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The Sustainable Development Goals are far off track. The convergence of global threats such as climate change, conflict and the lasting effects of the COVID-19 pandemic-among others-call for better data and research evidence that can account for the complex interactions between these threats. In the time of polycrisis, global and national-level data and research evidence must address complexity. Viewed through the lens of 'systemic risk', there is a need for data and research evidence that is sufficiently representative of the multiple interdependencies of global threats. Instead, current global published literature seems to be dominated by correlational, descriptive studies that are unable to account for complex interactions. The literature is geographically limited and rarely from countries facing severe polycrisis threats. As a result, country guidance fails to treat these threats interdependently. Applied systems thinking can offer more diverse research methods that are able to generate complex evidence. This is achievable through more participatory processes that will assist stakeholders in defining system boundaries and behaviours. Additionally, applied systems thinking can draw on known methods for hypothesising, modelling, visualising and testing complex system properties over time. Application is much needed for generating evidence at the global level and within national-level policy processes and structures.

Indexed as

COVID-19Global HealthSARS-CoV-2Climate ChangeEvidence GapsHumansPandemicsSustainable DevelopmentSystems AnalysisCOVID-19Global HealthStudy design

Identifiers

PMID39266018
PMCPMC11429278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.