scholarly journals Measuring Health Equity in Emergency Care Using Routinely Collected Data: A Systematic Review

Health Equity ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 801-817
Author(s):  
Kevin Morisod ◽  
Xhyljeta Luta ◽  
Joachim Marti ◽  
Jacques Spycher ◽  
Mary Malebranche ◽  
...  
2017 ◽  
Vol 34 (11) ◽  
pp. 711-719 ◽  
Author(s):  
Maria Clara de Magalhães-Barbosa ◽  
Jaqueline Rodrigues Robaina ◽  
Arnaldo Prata-Barbosa ◽  
Claudia de Souza Lopes

2021 ◽  
pp. 1357633X2110101
Author(s):  
Aditi Mitra ◽  
Rubina Veerakone ◽  
Kathleen Li ◽  
Tyler Nix ◽  
Andrew Hashikawa ◽  
...  

Introduction The impact of telemedicine on the access and quality of paediatric emergency care remains largely unexplored because most studies to date are focused on adult emergency care. We performed a systematic review of the literature to determine if telemedicine is effective in improving quality of paediatric emergency care with regards to access, process measures of care, appropriate disposition, patient-centred outcomes and cost-related outcomes. Methods We developed a systematic review protocol in accordance with PRISMA (Preferred Reporting Items for Systematic Review) guidelines. We included studies that evaluated the impact of synchronous and asynchronous forms of telemedicine on patient outcomes and process measures in the paediatric emergency care setting. Inclusion criteria were study setting, study design, intervention type, age, outcome measures, publication year and language. Results Overall, 1.9% (28/1434) studies met study inclusion and exclusion criteria. These studies revealed that telemedicine increased accuracy of patient assessment in the pre-clinical setting, improved time-to disposition, guided referring emergency department (ED) physicians in performing appropriate life-saving procedures and led to cost savings when compared to regular care. Studies focused on telepsychiatry demonstrated decreased length of stay (LOS), transfer rates and improved patient satisfaction scores. Discussion Our comprehensive review revealed that telemedicine enhances paediatric emergency care, enhances therapeutic decision-making and improves diagnostic accuracy, and reduces costs. Specifically, telemedicine has its most significant impact on LOS, access to specialized care, cost savings and patient satisfaction. However, there was a relative lack of randomized control trials, and more studies are needed to substantiate its impact on morbidity and mortality.


BMJ Open ◽  
2016 ◽  
Vol 6 (5) ◽  
pp. e010609 ◽  
Author(s):  
Aaron M Orkin ◽  
Jeffrey D Curran ◽  
Melanie K Fortune ◽  
Allison McArthur ◽  
Emma J Mew ◽  
...  

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Jamie Miles ◽  
Janette Turner ◽  
Richard Jacques ◽  
Julia Williams ◽  
Suzanne Mason

Abstract Background The primary objective of this review is to assess the accuracy of machine learning methods in their application of triaging the acuity of patients presenting in the Emergency Care System (ECS). The population are patients that have contacted the ambulance service or turned up at the Emergency Department. The index test is a machine-learning algorithm that aims to stratify the acuity of incoming patients at initial triage. This is in comparison to either an existing decision support tool, clinical opinion or in the absence of these, no comparator. The outcome of this review is the calibration, discrimination and classification statistics. Methods Only derivation studies (with or without internal validation) were included. MEDLINE, CINAHL, PubMed and the grey literature were searched on the 14th December 2019. Risk of bias was assessed using the PROBAST tool and data was extracted using the CHARMS checklist. Discrimination (C-statistic) was a commonly reported model performance measure and therefore these statistics were represented as a range within each machine learning method. The majority of studies had poorly reported outcomes and thus a narrative synthesis of results was performed. Results There was a total of 92 models (from 25 studies) included in the review. There were two main triage outcomes: hospitalisation (56 models), and critical care need (25 models). For hospitalisation, neural networks and tree-based methods both had a median C-statistic of 0.81 (IQR 0.80-0.84, 0.79-0.82). Logistic regression had a median C-statistic of 0.80 (0.74-0.83). For critical care need, neural networks had a median C-statistic of 0.89 (0.86-0.91), tree based 0.85 (0.84-0.88), and logistic regression 0.83 (0.79-0.84). Conclusions Machine-learning methods appear accurate in triaging undifferentiated patients entering the Emergency Care System. There was no clear benefit of using one technique over another; however, models derived by logistic regression were more transparent in reporting model performance. Future studies should adhere to reporting guidelines and use these at the protocol design stage. Registration and funding This systematic review is registered on the International prospective register of systematic reviews (PROSPERO) and can be accessed online at the following URL: https://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42020168696 This study was funded by the NIHR as part of a Clinical Doctoral Research Fellowship.


PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0225414 ◽  
Author(s):  
Gabrielle S. Logan ◽  
Andrea Pike ◽  
Bethan Copsey ◽  
Patrick Parfrey ◽  
Holly Etchegary ◽  
...  

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S7-S8
Author(s):  
A. Orkin ◽  
J. Curran ◽  
S. Ritchie ◽  
S. van de Velde ◽  
D. VanderBurgh

Introduction: The World Health Organization recommends emergency care training for laypeople in low-resource settings, but the effects of these programs on patient outcomes and community health have not been systematically reviewed. Our objective was to identify the individual and community health effects of educating laypeople to deliver emergency care in low-resource settings. Methods: We conducted a systematic review to address this question: in low-resource populations (P), does emergency care education for laypeople (I) confer any measurable effect on patient morbidity and mortality, or community capacity and resilience for emergency health conditions (O), in comparison with no training or other education(C)? We searched 12 electronic databases and grey literature for quantitative studies. We conducted duplicate and independent title and abstract screening, methodological and outcomes extraction, and study quality assessment using the Effective Public Health Practice Tool. We developed a narrative summary of findings. (PROSPERO: CRD42014009685) Results: We reviewed 16,017 abstracts and 372 full-text papers. 38 met inclusion criteria. Most topically relevant papers were excluded because they assessed educational outcomes. Cardiopulmonary resuscitation training (6 papers) improved cardiac arrest survival and enhanced capacity to respond to cardiac arrest in rural Norway, Denmark and commercial aircraft operations. A public education campaign in remote Denmark improved absolute cardiac arrest survival by 5.4% (95%CI 2-12). Lay trauma training (12 papers) reduced absolute injury mortality and improved community capacity in Iraq, Cambodia, Iran and Indigenous New Zealand communities. A trauma care program in Iraq and Cambodia reduced absolute mortality by 25% (95%CI 17.2-33). Education for mothers on paediatric fevers in Ethiopia was associated with 40% relative reductions in under-5 mortality (95%CI 29.2-50.6). Similar training improved access to care for paediatric malnutrition, malaria, pneumonia, and gastrointestinal disease in Nigeria, Kenya, Senegal, Burkina Faso, Mali, and India (13 papers). Overdose education and naloxone distribution was associated with reductions in opioid overdose deaths (3 papers), including in Massachusetts where high-uptake communities for overdose education had significantly lower overdose fatality rates than no-uptake communities (rate ratio 0.54, 95%CI 0.39-0.76). Community education improved measures of access to emergency care for remote Indigenous populations in Canada, Alaska and Nepal (3 papers) and adolescent mental health capacity in Australia (1 paper). Studies were of low or medium quality. Conclusion: In addition to established interventions for injury and cardiac arrest, emergency care training can improve community capacity in underserviced populations, and save lives in opioid overdose, paediatric infectious disease and malnutrition.


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