Measuring More than Mortality: A scoping review of air ambulance outcome measures in a combined Institutes of Medicine and Donabedian quality framework

Edwards, Kristin H.; FitzGerald, Gerard; Franklin, Richard C.; Edwards, Mark T.

doi:10.1016/j.auec.2020.10.002

Cited by 4 publications

(13 citation statements)

References 36 publications

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“…For older adults, because this outcome is inevitable for participants near the end of life, researchers may want to focus on other patient‐centered outcomes. One important example is quality of life 28 because it often decreases after an ED visit for acute illness but this may be modifiable 29 . Others may include reduction in unpleasant symptoms.…”

Section: Strategies For Inclusion Of Older Adults In Emergency Care R...mentioning

confidence: 99%

Inclusion of older adults in emergency department clinical research: Strategies to achieve a critical goal

Hunold

Goldberg

Caterino

et al. 2021

Academic Emergency Medicine

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There are over 23 million emergency department (ED) visits by older adults (aged 65 years and older) annually 1 and this number is expected to grow because of longer life spans, the aging of baby boomers, 2,3 and the fact that older adults are increasingly seeking care in the ED rather than other settings. 3 In fact, older adults are expected to account for as much as one-third of ED visits by 2030. 4 Medical research across all fields has historically excluded older adults. [5][6][7][8] Of trials published between 1965 and 2015, 33% had arbitrary upper age limits, and 67% reported on subjects younger than those typically afflicted by the disease under study. 7 Older adults can also be systematically excluded without an explicit age

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Section: Strategies For Inclusion Of Older Adults In Emergency Care R...mentioning

confidence: 99%

Inclusion of older adults in emergency department clinical research: Strategies to achieve a critical goal

Hunold

Goldberg

Caterino

et al. 2021

Academic Emergency Medicine

View full text Add to dashboard Cite

show abstract

“…When patients' journey data are pieced together by a unique patient identification (ID), it creates a more complete picture of prehospital and in-hospital emergency care. 5,6 This study will explore whether a previously developed air ambulance quality framework 7,8 is useful when applied to existing air ambulance patients' journeys using outcomes from linked data analysis. It is hypothesized that the framework will help guide prehospital and in-hospital performance reporting and improve the planning and delivery of aeromedical services.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The recently published air ambulance quality framework 8 was developed based on a scoping review which examined air ambulance independent and dependent outcome variables used in the literature. 7,8 However, the framework has not been applied and using linked data should provide better understanding of outcome measures. 7,8 The aeromedical framework combined generally accepted quality measures from the Institutes of Medicine (IOM; Washington, DC USA) 9 and Dr. Avedia Donabedian.…”

Section: Introductionmentioning

confidence: 99%

“…7,8 However, the framework has not been applied and using linked data should provide better understanding of outcome measures. 7,8 The aeromedical framework combined generally accepted quality measures from the Institutes of Medicine (IOM; Washington, DC USA) 9 and Dr. Avedia Donabedian. 10 The six IOM 9 service provision domains included: "Effective," "Efficient," "Safety," "Patient-Centered," "Timely," and "Equitable."…”

Section: Introductionmentioning

confidence: 99%

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Using a Quality Framework to Explore Air Ambulance Patients’ Journey Outcomes in Central Queensland, Australia

Edwards

Franklin

Jones

et al. 2022

Prehosp. Disaster med.

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Introduction: In Australia, aeromedical retrieval provides a vital link for rural communities with limited health services to definitive care in urban centers. Yet, there are few studies of aeromedical patient experiences and outcomes, or clear measures of the service quality provided to these patients. Study Objective: This study explores whether a previously developed quality framework could usefully be applied to existing air ambulance patient journeys (ie, the sequences of care that span multiple settings; prehospital and hospital-based pre-flight, flight transport, after-flight hospital in-patient, and disposition). The study aimed to use linked data from aeromedical, emergency department (ED), and hospital sources, and from death registries, to document and analyze patient journeys. Methods: A previously developed air ambulance quality framework was used to place patient, prehospital, and in-hospital service outcomes in relevant quality domains identified from the Institutes of Medicine (IOM) and Dr. Donabedian models. To understand the aeromedical patients’ journeys, data from all relevant data sources were linked by unique patient identifiers and the outcomes of the resulting analyses were applied to the air ambulance quality framework. Results: Overall, air ambulance referral pathways could be classified into three categories: Intraregional (those retrievals which stayed within the region), Out of Region, and Into Region. Patient journeys and service outcomes varied markedly between referral pathways. Prehospital and in-hospital service variables and patient outcomes showed that the framework could be used to explore air ambulance service quality. Conclusion: The air ambulance quality framework can usefully be applied to air ambulance patient experiences and outcomes using linked data analysis. The framework can help guide prehospital and in-hospital performance reporting. With variations between regional referral pathways, this knowledge will aid with planning within the local service. The study successfully linked data from aeromedical, ED, in-hospital, and death sources and explored the aeromedical patients’ journeys.

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Establishing Outcome Parameters for Helicopter Emergency Medical Services Research in The Netherlands: Results of a Mixed-Methods Delphi Consensus Study

Vianen,

Campfens,

Brouwer-Bergsma

et al. 2024

Prehospital Emergency Care

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Measuring More than Mortality: A scoping review of air ambulance outcome measures in a combined Institutes of Medicine and Donabedian quality framework

Cited by 4 publications

References 36 publications

Inclusion of older adults in emergency department clinical research: Strategies to achieve a critical goal

Inclusion of older adults in emergency department clinical research: Strategies to achieve a critical goal

Using a Quality Framework to Explore Air Ambulance Patients’ Journey Outcomes in Central Queensland, Australia

Establishing Outcome Parameters for Helicopter Emergency Medical Services Research in The Netherlands: Results of a Mixed-Methods Delphi Consensus Study

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