ReviewBMJ global health2024
Building resilient surgical systems that can withstand external shocks.
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 5 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
5 citing papers in PubMed.
- 30-day postoperative mortality and the effects of hospital preparedness during the COVID-19 pandemic: a pooled analysis of prospective international cohort studies.The Lancet regional health. Europe · 2026Article
- Perceptions of facilitators, barriers and adaptations for provision of obstetric fistula surgery and care: a qualitative descriptive study of service providers in selected hospitals in Busoga sub-region, eastern Uganda.Frontiers in global women's health · 2026Article
- Relationship of timing of surgical intervention on clinical outcomes in adults with inguinal hernias: a retrospective observational study in hospitals of northern West Bank.Annals of medicine and surgery (2012) · 2025Article
- Resilience amidst conflict: the pivotal role of Sudanese surgical residents and the Sudan medical specialization board in sustaining surgical training.Annals of medicine and surgery (2012) · 2025Article
- Strengthening health systems through surgery.BMJ global health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When surgical systems fail, there is the major collateral impact on patients, society and economies. While short-term impact on patient outcomes during periods of high system stress is easy to measure, the long-term repercussions of global crises are harder to quantify and require modelling studies with inherent uncertainty. When external stressors such as high-threat infectious disease, forced migration or climate-change-related events occur, there is a resulting surge in healthcare demand. This, directly and indirectly, affects perioperative pathways, increasing pressure on emergency, critical and operative care areas. While different stressors have different effects on healthcare systems, they share the common feature of exposing the weakest areas, at which point care pathways breakdown. Surgery has been identified as a highly vulnerable area for early failure. Despite efforts by the WHO to improve preparedness in the wake of the SARS-CoV-2 pandemic, measurement of healthcare investment and surgical preparedness metrics suggests that surgical care is not yet being prioritised by policy-makers. Investment in the 'response' phase of health system recovery without investment in the 'readiness' phase will not mitigate long-term health effects for patients as new stressors arise. This analysis aims to explore how surgical preparedness can be measured, identify emerging threats and explore their potential impact on surgical services. Finally, it aims to highlight the role of high-quality research in developing resilient surgical systems.
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Identifiers
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.