Injury
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Though the disease burden addressable by prehospital and out-of-hospital emergency care(OHEC) spans communicable diseases, maternal conditions, chronic conditions and injury, the single largest disability-adjusted life year burden contributor is injury, primarily driven by road traffic injuries(RTIs). Establishing OHEC for RTIs and other common emergencies in low- and middle-income countries(LMICs) where the injury burden is disproportionately greatest is a logical first step toward more comprehensive emergency medical services(EMS). However, with limited efforts to formalize and expand existing informal bystander care networks, there is a lack of consensus on how to develop and maintain bystander-driven Tier-1 EMS systems in LMICs. Resultantly, Tier-1 EMS development is fragmented among non-governmental organizations and the public sector globally. ⋯ Consensus is necessary to avoid duplicative and disorganized efforts due to the fragmented nature of parallel Tier-1 EMS efforts globally. A Delphi-like multi-round expert discussion among the members of the largest collaboration between organizations directing Tier-1 EMS programs globally generated relevant priorities to direct future efforts.
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Injury is a leading cause of health loss in Aotearoa me Te Waipounamu (New Zealand; NZ). The NZ Trauma Registry was established in 2015 to monitor outcomes in those experiencing severe injury and to identify ways of improving the quality of care for these patients. Few NZ studies have assessed outcomes in trauma patients using patient-reported outcome measures (PROMs) despite increasing recognition that the impacts of injury are better understood through PROMs. ⋯ Those commonly associated with outcomes were age, hospital length of stay, adequacy of household income, and participants' expectations regarding recovery from injury. Further research examining recovery expectations in trauma patients to determine which factors contribute to formulating recovery expectations, and the potential impact of recovery expectations on treatment and rehabilitation, would be of value. Should expectations, at least in part, influence HRQoL outcomes, then routinely collecting data on patients' recovery expectations, adequacy of household income and potential barriers to treatment and rehabilitation, could help inform post-hospital treatment plans, and identify those who may require additional support following discharge from hospital.