ReviewBMJ global health2024
Prepared for the polycrisis? The need for complexity science and systems thinking to address global and national evidence gaps.
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.
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.
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.
Who cites it
7 citing papers in PubMed.
- Justice at the interface: advancing community and health system resilience through intersectionality theory.Health policy and planning · 2026Article
- Advancing health policy and systems research and analysis: new frontiers, renewed relevance.Health policy and planning · 2026Article
- Towards a coherent global health architecture: perspectives on integrating global health security and universal health coverage through diplomacy and governance reforms.Health policy and planning · 2026Article
- Mental health in the time of polycrisis: geopolitical determinants and modern psychiatry.Frontiers in psychiatry · 2026Article
- Determinants of enduring major depressive episodes in the youth population of Hong Kong: The roles of comorbid psychopathology and stressful life events.Psychological medicine · 2025Article
- A systemic risk assessment methodological framework for the global polycrisis.Nature communications · 2025Review
- Towards equitable partnerships in global health research: experiences from Ethiopia, Uganda, Lao PDR and Vietnam.BMJ global health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
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
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What OpenQuestion holds
Registered trials
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.