Maximizing the Role of Emergency Medical Services in COVID-19 Response

The Centers for Disease Control and Prevention define six intervals of a pandemic: (1) investigation of cases, (2) recognition of the increased potential for ongoing transmission, (3) initiation of a pandemic wave, (4) acceleration of a pandemic wave, (5) deceleration of a pandemic wave and (6) preparation for future pandemic waves. Each of these stages has eight domains. Following China’s COVID-19 outbreak announcement, Israel’s National Emergency Medical Services (EMS) Organization immediately began working in conjunction with the Ministry of Health (MOH) to address the threat of the COVID-19 outbreak. This article will describe how a national EMS organization acted according to these pandemic intervals and domains. In the initial stages, EMS managed a checkpoint in the international airport voluntarily testing people for febrile symptoms. Calls to the dispatch centers that aroused the suspicion of COVID-19 resulted in EMS transport to the hospital with protective gear. During the period of first exposure, the scope of the medical emergency number was increased to include questions concerning coronavirus, telemedicine, and home sampling by protected EMS workers. In the contagion stages, epidemiological tests were conducted by the MOH and EMS began operating dedicated telephone triage, mass drive-through sampling, and finally, administration of vaccinations.

Factors associated with undertriage in patients classified by the need to visit a hospital by telephone triage: a retrospective cohort study

Background Prehospital telephone triage stratifies patients into five categories, “need immediate hospital visit by ambulance,” “need to visit a hospital within 1 hour,” “need to visit a hospital within 6 hours,” “need to visit a hospital within 24 hours,” and “do not need a hospital visit” in Japan. However, studies on whether present and past histories cause undertriage are limited in patients triaged as need an early hospital visit. We investigated factors associated with undertriage by comparing patient assessed to be appropriately triaged with those assessed undertriaged. Methods We included all patients classified by telephone triage as need to visit a hospital within 1 h and 6 h who used a single after-hours house call (AHHC) medical service in Tokyo, Japan, between November 1, 2019, and November 31, 2020. After home consultation, AHHC doctors classified patients as grade 1 (treatable with over-the-counter medications), 2 (requires hospital or clinic visit), or 3 (requires ambulance transportation). Patients classified as grade 2 and 3 were defined as appropriately triaged and undertriaged, respectively. Results We identified 10,742 eligible patients triaged as need to visit a hospital within 1 h and 6 h, including 10,479 (97.6%) appropriately triaged and 263 (2.4%) undertriaged patients. Multivariable logistic regression analyses revealed patients aged 16–64, 65–74, and ≥ 75 years (adjusted odds ratio [OR], 2.40 [95% confidence interval {CI} 1.71–3.36], 8.57 [95% CI 4.83–15.2], and 14.9 [95% CI 9.65–23.0], respectively; reference patients aged < 15 years); those with diabetes mellitus (2.31 [95% CI 1.25–4.26]); those with dementia (2.32 [95% CI 1.05–5.10]); and those with a history of cerebral infarction (1.98 [95% CI 1.01–3.87]) as more likely to be undertriaged. Conclusions We found that older adults and patients with diabetes mellitus, dementia, or a history of cerebral infarction were at risk of undertriage in patients triaged as need to visit a hospital within 1 h and 6 h, but further studies are needed to validate these findings.

The impact of the Covid-19 pandemic on care of women with ectopic pregnancy in a tertiary London hospital

Background: In response to the COVID-19 pandemic, a central London tertiary referral hospital’s nurse-led Early Pregnancy & Acute Gynaecology Unit (EPAGU) suspended its walk-in service in favour of a telephone triage system with scheduled appointments. Objective: To assess if the pandemic and this adaptation to clinical services had an impact on the presentation, management and complication rate of ectopic pregnancies. Materials and Methods: A retrospective review was performed of ectopic pregnancies diagnosed in the EPAGU between 5th of March 2020 – 15th of July 2020 (pandemic) and 5th of March 2019 – 15th of July 2019 (pre-pandemic). Main outcome measures: Ultrasound findings, patient demographics, serum hCG concentrations, operative findings and complications. Results: There was a 36% reduction in attendances to the unit during the pandemic. Allowing for this, there was no significant difference in the diagnosis rate between the two periods. There was no significant difference in the gestation at diagnosis, serum hCG concentration or volume of mass at presentation. There was also no significant difference in rate of surgical intervention or complications including rupture of fallopian tube, haemoperitoneum or need for blood transfusion. Conclusion: This study suggests this is a safe means of caring for women with ectopic pregnancies which does not limit management options nor lead to higher complication rates. What is new: Other EPAGUs may choose to adopt a telephone triage system with reassurance of its safety.

Towards enhanced telephone triage for chest pain: a Delphi study to define life-threatening conditions that must be identified

Background Improving telephone triage for patients with chest pain has been identified as a national research priority. However, there is a lack of strong evidence to define the life-threatening conditions (LTCs) that telephone triage ought to identify. Therefore, we aimed to build consensus for the LTCs associated with chest pain that ought to be identified during telephone triage for emergency calls. Methods We conducted a Delphi study in three rounds. Twenty experts in pre-hospital care and emergency medicine experience from the UK were invited to participate. In round I, experts were asked to list all LTCs that would require priority 1, 2, and 4 ambulance responses. Round II was a ranking evaluation, and round III was a consensus round. Consensus level was predefined at > = 70%. Results A total of 15 participants responded to round one and 10 to rounds two and three. Of 185 conditions initially identified by the experts, 26 reached consensus in the final round. Ten conditions met consensus for requiring priority 1 response: oesophageal perforation/rupture; ST elevation myocardial infarction; non-ST elevation myocardial infarction with clinical compromise (defined, also by consensus, as oxygen saturation < 90%, heart rate < 40/min or systolic blood pressure < 90 mmHg); acute heart failure; cardiac tamponade; life-threatening asthma; cardiac arrest; tension pneumothorax and massive pulmonary embolism. An additional six conditions met consensus for priority 2 response, and three for priority 4 response. Conclusion Using expert consensus, we have defined the LTCs that may present with chest pain, which ought to receive a high-priority ambulance response. This list of conditions can now form a composite primary outcome for future studies to derive and validate clinical prediction models that will optimise telephone triage for patients with a primary complaint of chest pain.

Breastfeeding Telephone Triage and Advice

Created by a leading breastfeeding and phone care practitioner, this newly revised problem-solver helps nurses, lactation professionals, and other medical staff confidently advise breastfeeding mothers. It is ideal for use with the acclaimed Pediatric Telephone Protocols.

ABCD Approach At The #7119 Center, Telephone Triage System in Tokyo, Japan; A Retrospective Cohort Study

Background The algorithm and protocol of the #7119 telephone triage in Tokyo, Japan, had been originally established and consists of three steps. In this study, we investigated the outcome of patients treated with physiological abnormality (ABCD approach: A, airway; B, breathing; C, circulation, and D, dysfunction of central nervous system) in step 2 during the #7119 telephone triage and clarified the meaning of evaluation of this approach. Methods We retrospectively reviewed data from the Tokyo Fire Department from January 2016 to December 2017. Almost all the patients triaged using the ABCD approach were transferred to the hospital by ambulance and assigned severity by a physician. We divided patients into groups with combinations of 15 patterns including A, B, C, D, AB, AC, AD, BC, BD, CD, ABC, ABD, ACD, BCD, and ABCD. We compared the proportion of severe cases in each group using a Fisher's exact test, followed by residual analysis.. Results We analyzed 13,793 cases triaged using the ABCD approach. In this analysis, 31% of total cases were assessed as severe cases. Groupwise analysis showed that the proportion of severe cases was significantly higher in the AD, BC, CD, ABD, and ABCD groups, while it was significantly less in the C and AB groups than in the total cases. Conclusion At the #7119 telephone triage, we can pick up the severe cases by the ABCD approach. This may contribute to the prompt transportation of severe patients to hospitals by dispatching ambulance cars using the #7119 telephone triage methods.

SP10.1.4 COVID as a driver of innovation: getting the right patient to the right place at the right time. A novel Registrar-led approach to minimising unnecessary footfall in the Surgical Assessment Unit of a District General Hospital

Aim To give shielding Registrars opportunities to innovate and lead service development through telephone triage of Surgical Assessment Unit (SAU) referrals from General Practitioners and Nurse Practitioners. Prior to the COVID pandemic, referrals were taken by Nurse Coordinators. Increasing call volumes put pressure on the department and disrupted clinical duties. Furthermore, referrers often expressed difficulties in contacting SAU staff. Methods During the study, referral calls were diverted for triage by the hospital switchboard. Three outcomes were offered: Clinical advice, ‘Hot Clinic’ (HC) appointment or urgent SAU review. Prospective referral data (15/6-31/7/2020) and retrospective non-triage data (15/6-1/7/2019) were gathered. Triage effects were measured by outcome comparison with non-triage data and the associated financial implications calculated. Stakeholder feedback questionnaires were distributed. Results Non-triage data showed 56% of patients reviewed in SAU were sent home and 44% admitted, compared to 23.6% and 28.1% of referrals during the 2020 study period. Furthermore, 28.4% of admissions were avoided by triage. Only 3.1% of triaged patients presented to Emergency Department within 7 days of the triage conversation. Almost half of these had been reviewed in SAU following triage and discharged the same day. HC availability was limited during the triage study. In view of reduced admissions and overall cost savings of £8330.62/week, expanding these clinics may prove cost neutral. Triage was universally popular with stakeholders. Data will inform future development of Urgent and Emergency Care at our hospital. Conclusions Traditional ways of working should be challenged. Novel approaches can be cost effective & positively impact patient care.