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Objective: The aim of this review is to identify, evaluate, and graphically display gaps in the literature related to scarce health resource allocation in humanitarian aid settings., Methods: A systematic search strategy was utilized in MEDLINE (via Ovid), Scopus, EMBASE, CINAHL Complete, and ProQuest Central. Articles were reviewed by 2 reviewers with a third reviewer remedying any screening conflicts. Articles meeting inclusion criteria underwent data extraction to facilitate evaluation of the scope, nature, and quality of experience-based evidence for health resource allocation in humanitarian settings. Finally, articles were mapped on a matrix to display evidence graphically., Results: The search strategy identified 6093 individual sources, leaving 4000 for screening after removal of duplicates. Following full-text screening, 12 sources were included. Mapping extracted data according to surge capacity domains demonstrated that all 4 domains were reflected most of all the staff domain. Much of the identified data was presented without adhering to a clear structure or nomenclature. Finally, the mapping suggested potential incompleteness of surge capacity constructs in humanitarian response settings., Conclusions: Through this review, we identified a gap in evidence available to address challenges associated with scarce resource allocation in humanitarian settings. In addition to presenting the distribution of existing literature, the review demonstrated the relevance of surge capacity and resource allocation principles underpinning the developed framework.

Objective: Pandemics generate such a significant demand for care that traditional triage methods can become saturated. Secondary population-based triage (S-PBT) overcomes this limitation. Although the coronavirus disease (COVID-19) pandemic forced S-PBT into operation internationally during the first year of the pandemic, Australian doctors were spared this responsibility. However, the second wave of COVID-19 provides an opportunity to explore the lived experience of preparing for S-PBT within the Australian context.The aim of this study is to explore the lived experience of preparing to operationalize S-PBT to allocate critical care resources during Australia's second wave of COVID-19 in 2020., Methods: Intensivists and emergency physicians working during the second Victorian COVID-19 surge were recruited by purposive non-random sampling. Semi-structured interviews were hosted remotely, recorded, transcribed, and coded to facilitate a qualitative phenomenological analysis., Results: Six interviews were conducted with an equal mix of intensivists and emergency doctors. Preliminary findings from a thematic analysis revealed 4 themes: (1) threat of resources running; (2) informed decision requiring information; (3) making decisions as we always do; and (4) a great burden to carry., Conclusion: This is the first description of this novel phenomenon within Australia and, in doing so, it identified a lack of preparedness to operationalize S-PBT during the second wave of COVID-19 in Australia.

Objective: The aim of this study was to analyze coronavirus disease 2019 (COVID-19) -related call data at Metro North Public Health Unit, Brisbane Australia, over the 2020 calendar year to assist surge preparedness., Methods: Call data were retrieved by call category or reference to "COVID" in summaries from the call management system at a large metropolitan public health service. Under a mixed-methods approach, qualitative data (caller, call purpose, and call outcome) were categorized with categories arising de novo. Resulting variables were numerically analyzed to identify trends by categories and time., Results: Of the 3468 calls retrieved, 160 duplicates and 26 irrelevant calls were excluded. Of 3282 included calls, general practitioners, followed by the public, contributed the greatest call volumes. Health-care-related callers and the public made 84.2% of calls. Calls most frequently related to patient testing (40.7%) and isolation/quarantine (23.2%). Education provision accounted for 29.4% of all outcomes. A total of 11.8% of all call outcomes involved applying relevant case definitions, and 49.1% of calls were identified as potentially preventable through effective emergency risk communication and targeted call-handling., Conclusions: This study identified key drivers of public health unit phone service use related to the COVID-19 pandemic throughout 2020. The results highlighted where risk perception influenced call volume and provided important insights for future public health preparedness.