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Starvaggi CA, Travaglini N, Aebi C, Romano F, Steiner I, Sauter TC, Keitel K. www.coronabambini.ch: Development and usage of an online decision support tool for paediatric COVID-19-testing in Switzerland: a cross-sectional analysis. BMJ Open 2023; 13:e063820. [PMID: 36927586 PMCID: PMC10030280 DOI: 10.1136/bmjopen-2022-063820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
OBJECTIVES To describe the development and usage of www.coronabambini.ch as an example of a paediatric electronic public health application and to explore its potential and limitations in providing information on disease epidemiology and public health policy implementation. DESIGN We developed and maintained a non-commercial online decision support tool, www.coronabambini.ch, to translate the Swiss Federal Office of Public Health (FOPH) paediatric (age 0-18 years) COVID-19 guidelines around testing and school/daycare attendance for caregivers, teachers and healthcare personnel. We analysed the online decision tool as well as a voluntary follow-up survey from October 2020 to September 2021 to explore its potential as a surveillance tool for public health policy and epidemiology. PARTICIPANTS 68 269 users accessed and 52 726 filled out the complete online decision tool. 3% (1399/52 726) filled out a voluntary follow-up. 92% (18 797/20 330) of users were parents. RESULTS Certain dynamics of the pandemic and changes in testing strategies were reflected in the data captured by www.coronabambini.ch, for example, in terms of disease epidemiology, gastrointestinal symptoms were reported more frequently in younger age groups (13% (3308/26 180) in children 0-5 years vs 9% (3934/42 089) in children ≥6 years, χ2=184, p≤0.001). As a reflection of public health policy, the proportion of users consulting the tool for a positive contact without symptoms in children 6-12 years increased from 4% (1415/32 215) to 6% (636/9872) after the FOPH loosened testing criteria in this age group, χ2=69, p≤0.001. Adherence to the recommendation was generally high (84% (1131/1352)) but differed by the type of recommendation: 89% (344/385) for 'stay at home and observe', 75% (232/310) for 'school attendance'. CONCLUSIONS Usage of www.coronabambini.ch was generally high in areas where it was developed and promoted. Certain patterns in epidemiology and adherence to public health policy could be depicted but selection bias was difficult to measure showing the potential and challenges of digital decision support as public health tools.
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Affiliation(s)
- Carl Alessandro Starvaggi
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Inselspital University Hospital, Bern, Switzerland
| | | | - Christoph Aebi
- Department of Pediatrics, Inselspital University Hospital, Bern, Switzerland
| | - Fabrizio Romano
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Inselspital University Hospital, Bern, Switzerland
| | - Isabelle Steiner
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Inselspital University Hospital, Bern, Switzerland
| | | | - Kristina Keitel
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Inselspital University Hospital, Bern, Switzerland
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Michel J, Mettler A, Stuber R, Müller M, Ricklin ME, Jent P, Hautz WE, Sauter TC. Effects and utility of an online forward triage tool during the SARS-CoV-2 pandemic: a mixed method study and patient perspectives, Switzerland. BMJ Open 2022; 12:e059765. [PMID: 35820749 PMCID: PMC9274020 DOI: 10.1136/bmjopen-2021-059765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To assess the effects (quantitatively) and the utility (qualitatively) of a COVID-19 online forward triage tool (OFTT) in a pandemic context. DESIGN A mixed method sequential explanatory study was employed. Quantitative data of all OFTT users, between 2 March 2020 and 12 May 2020, were collected. Second, qualitative data were collected through key informant interviews (n=19) to explain the quantitative findings, explore tool utility, user experience and elicit recommendations. SETTING The working group e-emergency medicine at the emergency department developed an OFTT, which was made available online. PARTICIPANTS Participants included all users above the age of 18 that used the OFTT between 2 March 2020 and 12 May 2020. INTERVENTION An OFTT that displayed the current test recommendations of the Federal Office of Public Health on whether someone needed testing for COVID-19 or not. No diagnosis was provided. RESULTS In the study period, 6272 users consulted our OFTT; 40.2% (1626/4049) would have contacted a healthcare provider had the tool not existed. 560 participants consented to a follow-up survey and provided a valid email address. 31.4% (176/560) participants returned a complete follow-up questionnaire. 84.7% (149/176) followed the recommendations given. 41.5% (73/176) reported that their fear was allayed after using the tool. Qualitatively, seven overarching themes emerged namely (1) accessibility of tool, (2) user-friendliness of tool, (3) utility of tool as an information source, (4) utility of tool in allaying fear and anxiety, (5) utility of tool in medical decision-making (6) utility of tool in reducing the potential for onward transmissions and (7) utility of tool in reducing health system burden. CONCLUSION Our findings demonstrated that a COVID-19 OFTT does not only reduce the health system burden but can also serve as an information source, reduce anxiety and fear, reduce potential for cross infections and facilitate medical decision-making.
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Affiliation(s)
- Janet Michel
- Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Annette Mettler
- Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Raphael Stuber
- Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Martin Müller
- Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Meret E Ricklin
- Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Philipp Jent
- Department of Infectious Diseases, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Wolf E Hautz
- Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
- Centre for Educational Measurement, University of Oslo, Oslo, Norway
| | - Thomas C Sauter
- Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
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Squeri B, Gayton M, Huang J, Chavez S, Souffront K. Meeting the Challenges of COVID-19: Evaluation of Nurse-Led Changes to Telephonic Assessment. Home Healthc Now 2022; 40:214-222. [PMID: 35777943 DOI: 10.1097/nhh.0000000000001081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The early months of the COVID-19 pandemic caused suspension of physician home visits at our NYC home-based primary care practice as well as disruptions in community-based services homebound patients rely on. This produced gaps in care for a vulnerable patient population that is considered underserved and medically and socially complex. Telephone triage nurses at Mount Sinai Visiting Doctors Program responded to these gaps in care with targeted enhancements to telephonic patient assessment: creating an encrypted email address to receive photographs, the use of two Epic dot phrases to screen and educate regarding COVID-19, assessment of patients' ability to complete a video visit, the reassessment of goals of care, and the assessment of changes in home care services. We surveyed 15 attending physicians in our practice to evaluate primary care providers' opinions regarding changes in nurse telephone triage and how helpful they were in managing patients at home during the early pandemic. We found enhancements to nurse telephone triage were viewed by physicians as beneficial, valuable, and improved patient care. Physicians found changes improved timeliness of care, could improve self-management, helped avoid transfer to emergency department, and helped manage patient care at home. As the pandemic continues and telehealth becomes more widely used, nurse telephone triage may be adaptable to help care for a variety of patient populations during future public health emergencies.
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Tozzi AE, Gesualdo F, Urbani E, Sbenaglia A, Ascione R, Procopio N, Croci I, Rizzo C. Digital Surveillance Through an Online Decision Support Tool for COVID-19 Over One Year of the Pandemic in Italy: Observational Study. J Med Internet Res 2021; 23:e29556. [PMID: 34292866 PMCID: PMC8366755 DOI: 10.2196/29556] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/14/2021] [Accepted: 07/18/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Italy has experienced severe consequences (ie, hospitalizations and deaths) during the COVID-19 pandemic. Online decision support systems (DSS) and self-triage applications have been used in several settings to supplement health authority recommendations to prevent and manage COVID-19. A digital Italian health tech startup, Paginemediche, developed a noncommercial, online DSS with a chat user interface to assist individuals in Italy manage their potential exposure to COVID-19 and interpret their symptoms since early in the pandemic. OBJECTIVE This study aimed to compare the trend in online DSS sessions with that of COVID-19 cases reported by the national health surveillance system in Italy, from February 2020 to March 2021. METHODS We compared the number of sessions by users with a COVID-19-positive contact and users with COVID-19-compatible symptoms with the number of cases reported by the national surveillance system. To calculate the distance between the time series, we used the dynamic time warping algorithm. We applied Symbolic Aggregate approXimation (SAX) encoding to the time series in 1-week periods. We calculated the Hamming distance between the SAX strings. We shifted time series of online DSS sessions 1 week ahead. We measured the improvement in Hamming distance to verify the hypothesis that online DSS sessions anticipate the trends in cases reported to the official surveillance system. RESULTS We analyzed 75,557 sessions in the online DSS; 65,207 were sessions by symptomatic users, while 19,062 were by contacts of individuals with COVID-19. The highest number of online DSS sessions was recorded early in the pandemic. Second and third peaks were observed in October 2020 and March 2021, respectively, preceding the surge in notified COVID-19 cases by approximately 1 week. The distance between sessions by users with COVID-19 contacts and reported cases calculated by dynamic time warping was 61.23; the distance between sessions by symptomatic users was 93.72. The time series of users with a COVID-19 contact was more consistent with the trend in confirmed cases. With the 1-week shift, the Hamming distance between the time series of sessions by users with a COVID-19 contact and reported cases improved from 0.49 to 0.46. We repeated the analysis, restricting the time window to between July 2020 and December 2020. The corresponding Hamming distance was 0.16 before and improved to 0.08 after the time shift. CONCLUSIONS Temporal trends in the number of online COVID-19 DSS sessions may precede the trend in reported COVID-19 cases through traditional surveillance. The trends in sessions by users with a contact with COVID-19 may better predict reported cases of COVID-19 than sessions by symptomatic users. Data from online DSS may represent a useful supplement to traditional surveillance and support the identification of early warning signals in the COVID-19 pandemic.
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Affiliation(s)
- Alberto Eugenio Tozzi
- Multifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Francesco Gesualdo
- Multifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | | | | | | | | | - Ileana Croci
- Multifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Caterina Rizzo
- Clinical Pathways and Epidemiology Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
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Koonin LM, Sliger K, Kerr J, Bullen-Austin L, Graeden E, Farris K, Ionta C, Krause D, Patel A. CDC's Flu on Call Simulation: Testing a National Helpline for Use During an Influenza Pandemic. Health Secur 2021; 18:392-402. [PMID: 33107763 DOI: 10.1089/hs.2019.0152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
During an influenza pandemic, healthcare facilities are likely to be filled to capacity, leading to delays in seeing a provider and obtaining treatment. Flu on Call is a collaborative effort between the US Centers for Disease Control and Prevention and partners to develop a toll-free telephone helpline to reduce the burden on healthcare facilities and improve access to antivirals for people who are ill during an influenza pandemic. This study tested the feasibility of Flu on Call during a 1-day simulation using a severe pandemic scenario. Trained volunteer actors placed calls to the helpline using prepared scripts that were precoded for an expected outcome ("disposition") of the call. Scripts represented callers who were ill, those calling for someone else who was ill, and callers who were only seeking information. Information specialists and medical professionals managed the calls. Results demonstrated that Flu on Call may effectively assist callers during a pandemic, increase access to antiviral prescriptions, and direct patients to the appropriate level of care. Overall, 84% of calls exactly matched the expected call disposition; few calls (2%) were undermanaged (eg, the caller was ill but not transferred to a medical professional or received advice from the medical professional that was less intensive than what was warranted). Callers indicated a high level of satisfaction (83% reported their needs were met). Because of the high volume of calls that may be received during a severe pandemic, the Flu on Call platform should evolve to include additional triage channels (eg, through internet, chat, and/or text access).
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Affiliation(s)
- Lisa M Koonin
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Kellye Sliger
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Justin Kerr
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Lisa Bullen-Austin
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Ellie Graeden
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Kevin Farris
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Christopher Ionta
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Diane Krause
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
| | - Anita Patel
- Lisa M. Koonin, DrPH, MN, MPH, was Deputy Director at the time this study was conducted; and Anita Patel, PharmD, MS, is Senior Advisor, Pandemic Medical Care and Countermeasures Lead; both in the Influenza Coordination Unit, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA. Kellye Sliger, MPH, is an Epidemiologist; Kevin Farris, MAEd, is Health Communication, Preparedness, and Training Manager; and Diane Krause, MS-MPH is a Health Education Specialist; all at Oak Ridge Associated Universities, Oak Ridge, TN. Justin Kerr, PhD, is Head of Research; and Ellie Graeden, PhD, is Chief Executive Officer; both at Talus Analytics, Boulder, CO. Lisa Bullen-Austin is Senior Vice President, Vigilant Watch Integration Inc, Stafford, VA. Christopher Ionta is Senior Business Process Analyst with SRA International/CSRA, Inc., Atlanta, GA
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Hautz WE, Exadaktylos A, Sauter TC. Online forward triage during the COVID-19 outbreak. Emerg Med J 2020; 38:106-108. [PMID: 33310732 PMCID: PMC7735070 DOI: 10.1136/emermed-2020-209792] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 11/07/2020] [Accepted: 11/11/2020] [Indexed: 11/03/2022]
Abstract
Health systems face major challenges during the COVID-19 pandemic with new information and challenges emerging daily and frequently changing guidelines. Online forward triage tools (OFTTs) provide useful information, direct patients and free physician resources.We implemented an OFTT targeted at the current pandemic, adapted the content and goals and assessed its effects. The OFTT was implemented on 2 March 2020 and modified regularly based on the revised testing criteria issued by the Swiss Federal Office of Public Health. After testing criteria liberalised, a chatbot tool was set up on 9 April 2020 to assess urgency of testing, referral to available testing sites and need for emergency care.In the first 40 days of the OFTT, there were more than 17 300 visitors and 69.8% indicated they would have contacted the healthcare system if the online test had not been available. During the initial week of operation, using the conservative testing strategy, 9.1% of visitors received recommendations to be tested, which increased to 36.0% of visitors after a change in testing criteria on 9 March 2020. Overall, since the implementation of the tool, 26.27% of all users of the site have been directed to obtain testing. The Chatbot tool has had approximately 50 consults/day.Setting up an OFTT should be considered as part of local strategies to cope with the COVID-19 pandemic. It may ease the burden on the healthcare system, reassure patients and inform authorities. To account for the dynamic development of the pandemic, frequent adaptation of the tool is of great importance. Further research on clinical outcomes of OFTT is urgently needed.
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Affiliation(s)
- Wolf E Hautz
- Department of Emergency Medicine, Inselspital University Hospital Bern, Bern, Switzerland
| | | | - Thomas C Sauter
- Department of Emergency Medicine, Inselspital University Hospital Bern, Bern, Switzerland
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Reforma LG, Duffy C, Collier ARY, Wylie BJ, Shainker SA, Golen TH, Herlihy M, Lydeard A, Zera CA. A multidisciplinary telemedicine model for management of coronavirus disease 2019 (COVID-19) in obstetrical patients. Am J Obstet Gynecol MFM 2020; 2:100180. [PMID: 32838271 PMCID: PMC7381396 DOI: 10.1016/j.ajogmf.2020.100180] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/24/2020] [Accepted: 07/11/2020] [Indexed: 12/26/2022]
Abstract
Background The COVID-19 pandemic caused by the SARS-CoV-2 has increased the demand for inpatient healthcare resources; however, approximately 80% of patients with COVID-19 have a mild clinical presentation and can be managed at home. Objective This study aimed to describe the feasibility and clinical and process outcomes associated with a multidisciplinary telemedicine surveillance model to triage and manage obstetrical patients with known exposures and symptoms of COVID-19. Study Design We implemented a multidisciplinary telemedicine surveillance model with obstetrical physicians and nurses to standardize ambulatory care for obstetrical patients with confirmed or suspected COVID-19 based on the symptoms or exposures at an urban academic tertiary care center with multiple hospital-affiliated and community-based practices. All pregnant or postpartum patients with COVID-19 symptoms, exposures, or hospitalization were eligible for inclusion in the program. Patients were assessed by means of regular nursing phone calls and were managed according to illness severity. Patient characteristics and clinical and process outcomes were abstracted from the electronic medical record. Results A total of 135 patients were enrolled in the multidisciplinary telemedicine model from March 17 to April 19, 2020, of whom 130 were pregnant and 5 were recently postpartum. In this study, 116 of 135 patients (86%) were managed solely in the outpatient setting and did not require an in-person evaluation; 9 patients were ultimately admitted after ambulatory or urgent evaluations, and 10 patients were observed after hospital discharge. Although only 50% of the patients were tested secondary to limitations in ambulatory testing, 1 in 3 of those patients received positive results for SARS-CoV-2 (N=22, 16% of entire cohort). Patients were enrolled in the telemedicine model for a median of 7 days (interquartile range, 4-8) and averaged 1 phone call daily, resulting in 891 nursing calls and 20 physician calls over 1 month. Conclusion A multidisciplinary telemedicine surveillance model for outpatient management of obstetrical patients with COVID-19 symptoms and exposures is feasible and resulted in rates of ambulatory management similar to those seen in nonpregnant patients. A centralized model for telemedicine surveillance of obstetrical patients with COVID-19 symptoms may preserve inpatient resources and prevent avoidable staff and patient exposures, particularly in centers with multiple ambulatory practice settings.
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Affiliation(s)
- Liberty G Reforma
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Cassandra Duffy
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Ai-Ris Y Collier
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Blair J Wylie
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Scott A Shainker
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Toni H Golen
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Mary Herlihy
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Aisling Lydeard
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
| | - Chloe A Zera
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA
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Jensen T, Holgersen MG, Jespersen MS, Blomberg SN, Folke F, Lippert F, Christensen HC. Strategies to Handle Increased Demand in the COVID-19 Crisis: A Coronavirus EMS Support Track and a Web-Based Self-Triage System. PREHOSP EMERG CARE 2020; 25:28-38. [PMID: 32870754 DOI: 10.1080/10903127.2020.1817212] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND In emergencies, such as the COVID-19 pandemic, there is an increased need for contact with emergency medical services (EMS), and call volume might surpass capacity. The Copenhagen EMS operates two telephone line the 1-1-2 emergency number and the 1813 medical helpline. A separate coronavirus support track was implemented on the 1813 medical helpline and a web-based self-triage (web triage) system was created to reduce non-emergency call volume. The aim of this paper is to present call volume and the two measures implemented to handle the increased call volume to the Copenhagen EMS. METHODS This is a cross sectional observational study. Call volume and queue time is presented in the first month of the COVID-19 pandemic (27th of February 2020 to 27th of march) and compared to the equivalent month from the year before (2019). Descriptive statistics are conducted on call volumes and queue times and spearman's rank correlation test are performed to test correlation between web triage and call volume. RESULTS Total EMS call volume increase by 23.3% between 2019 and 2020 (92.670 vs. 114,250). The 1-1-2 emergency line total call volume increase by 4.4% (8,4942 vs. 8,870) and the 1813 medical helpline increased by 25.1% (84.176 vs. 105.380). The coronavirus support track handled 21,063 calls. The 1813 medical helpline queue time was a mean of 02 minutes and 23 seconds (CI: 2.22-2.25) in 2019 and 12 minutes and 2 seconds (CI 11:55-12:09) in 2020 (P < 0.001). The web triage was used 10,894 times. No correlation between call volume and web triage usage was seen. CONCLUSIONS In the first month of the ongoing COVID-19 pandemic a significant increase in call volume was observed in the 1813 medical helpline compared to 2019. A large number of calls were handled by the additional coronavirus track and diverted away from the regular tracks of the 1813 medical helpline. This likely contributed to mitigating increased call volumes and queue times. The web triage was widely used but no significant correlation was seen with 1813 medical helpline call volume. Other EMS organizations can learn from this to enhance capacity in a future epidemics.
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Medical Student Mobilization During a Pandemic: The Ochsner Clinical School Response to COVID-19. Ochsner J 2020; 20:146-150. [PMID: 32612468 PMCID: PMC7310173 DOI: 10.31486/toj.20.0069] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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Hick JL, Hanfling D, Wynia MK, Pavia AT. Duty to Plan: Health Care, Crisis Standards of Care, and Novel Coronavirus SARS-CoV-2. NAM Perspect 2020; 2020:202003b. [PMID: 34532682 DOI: 10.31478/202003b] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- John L Hick
- Hennepin Healthcare and University of Minnesota
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Adhikari BB, Koonin LM, Mugambi ML, Sliger KD, Washington ML, Kahn EB, Meltzer MI. Estimating Weekly Call Volume to a National Nurse Telephone Triage Line in an Influenza Pandemic. Health Secur 2019; 16:334-340. [PMID: 30339099 DOI: 10.1089/hs.2018.0061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Telephone nurse triage lines, such as the Centers for Disease Control and Prevention's (CDC) Flu on Call®, a national nurse triage line, may help reduce the surge in demand for health care during an influenza pandemic by triaging callers, providing advice about clinical care and information about the pandemic, and providing access to prescription antiviral medication. We developed a Call Volume Projection Tool to estimate national call volume to Flu on Call® during an influenza pandemic. The tool incorporates 2 influenza clinical attack rates (20% and 30%), 4 different levels of pandemic severity, and different initial "seed numbers" of cases (10 or 100), and it allows variation in which week the nurse triage line opens. The tool calculates call volume by using call-to-hospitalization ratios based on pandemic severity. We derived data on nurse triage line calls and call-to-hospitalization ratios from experience with the 2009 Minnesota FluLine nurse triage line. Assuming a 20% clinical attack rate and a case hospitalization rate of 0.8% to 1.5% (1968-like pandemic severity), we estimated the nationwide number of calls during the peak week of the pandemic to range from 1,551,882 to 3,523,902. Assuming a more severe 1957-like pandemic (case hospitalization rate = 1.5% to 3.0%), the national number of calls during the peak week of the pandemic ranged from 2,909,778 to 7,047,804. These results will aid in planning and developing nurse triage lines at both the national and state levels for use during a future influenza pandemic.
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Affiliation(s)
- Bishwa B Adhikari
- Bishwa B. Adhikari, PhD, is a Senior Economist; Michael L. Washington, PhD, is a Health Scientist; Emily B. Kahn, PhD, is a Senior Epidemiologist; and Martin I. Meltzer, PhD, is Senior Health Economist/Distinguished Consultant; all at the National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Lisa M. Koonin, DrPH, MN, MPH, is Deputy Director, Influenza Coordination Unit, National Center for Immunization & Respiratory Diseases, CDC, Atlanta. Melissa L. Mugambi, PhD, is Assistant Professor, Department of Global Health, University of Washington , Seattle, WA. Kellye D. Sliger, MPH, is an Epidemiologist, Oak Ridge Associated Universities, Oak Ridge, TN. The authors are solely responsible for the content of this article; the views presented do not necessarily represent the official views of the Centers for Disease Control and Prevention. The authors have no conflicts of interest
| | - Lisa M Koonin
- Bishwa B. Adhikari, PhD, is a Senior Economist; Michael L. Washington, PhD, is a Health Scientist; Emily B. Kahn, PhD, is a Senior Epidemiologist; and Martin I. Meltzer, PhD, is Senior Health Economist/Distinguished Consultant; all at the National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Lisa M. Koonin, DrPH, MN, MPH, is Deputy Director, Influenza Coordination Unit, National Center for Immunization & Respiratory Diseases, CDC, Atlanta. Melissa L. Mugambi, PhD, is Assistant Professor, Department of Global Health, University of Washington , Seattle, WA. Kellye D. Sliger, MPH, is an Epidemiologist, Oak Ridge Associated Universities, Oak Ridge, TN. The authors are solely responsible for the content of this article; the views presented do not necessarily represent the official views of the Centers for Disease Control and Prevention. The authors have no conflicts of interest
| | - Melissa L Mugambi
- Bishwa B. Adhikari, PhD, is a Senior Economist; Michael L. Washington, PhD, is a Health Scientist; Emily B. Kahn, PhD, is a Senior Epidemiologist; and Martin I. Meltzer, PhD, is Senior Health Economist/Distinguished Consultant; all at the National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Lisa M. Koonin, DrPH, MN, MPH, is Deputy Director, Influenza Coordination Unit, National Center for Immunization & Respiratory Diseases, CDC, Atlanta. Melissa L. Mugambi, PhD, is Assistant Professor, Department of Global Health, University of Washington , Seattle, WA. Kellye D. Sliger, MPH, is an Epidemiologist, Oak Ridge Associated Universities, Oak Ridge, TN. The authors are solely responsible for the content of this article; the views presented do not necessarily represent the official views of the Centers for Disease Control and Prevention. The authors have no conflicts of interest
| | - Kellye D Sliger
- Bishwa B. Adhikari, PhD, is a Senior Economist; Michael L. Washington, PhD, is a Health Scientist; Emily B. Kahn, PhD, is a Senior Epidemiologist; and Martin I. Meltzer, PhD, is Senior Health Economist/Distinguished Consultant; all at the National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Lisa M. Koonin, DrPH, MN, MPH, is Deputy Director, Influenza Coordination Unit, National Center for Immunization & Respiratory Diseases, CDC, Atlanta. Melissa L. Mugambi, PhD, is Assistant Professor, Department of Global Health, University of Washington , Seattle, WA. Kellye D. Sliger, MPH, is an Epidemiologist, Oak Ridge Associated Universities, Oak Ridge, TN. The authors are solely responsible for the content of this article; the views presented do not necessarily represent the official views of the Centers for Disease Control and Prevention. The authors have no conflicts of interest
| | - Michael L Washington
- Bishwa B. Adhikari, PhD, is a Senior Economist; Michael L. Washington, PhD, is a Health Scientist; Emily B. Kahn, PhD, is a Senior Epidemiologist; and Martin I. Meltzer, PhD, is Senior Health Economist/Distinguished Consultant; all at the National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Lisa M. Koonin, DrPH, MN, MPH, is Deputy Director, Influenza Coordination Unit, National Center for Immunization & Respiratory Diseases, CDC, Atlanta. Melissa L. Mugambi, PhD, is Assistant Professor, Department of Global Health, University of Washington , Seattle, WA. Kellye D. Sliger, MPH, is an Epidemiologist, Oak Ridge Associated Universities, Oak Ridge, TN. The authors are solely responsible for the content of this article; the views presented do not necessarily represent the official views of the Centers for Disease Control and Prevention. The authors have no conflicts of interest
| | - Emily B Kahn
- Bishwa B. Adhikari, PhD, is a Senior Economist; Michael L. Washington, PhD, is a Health Scientist; Emily B. Kahn, PhD, is a Senior Epidemiologist; and Martin I. Meltzer, PhD, is Senior Health Economist/Distinguished Consultant; all at the National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Lisa M. Koonin, DrPH, MN, MPH, is Deputy Director, Influenza Coordination Unit, National Center for Immunization & Respiratory Diseases, CDC, Atlanta. Melissa L. Mugambi, PhD, is Assistant Professor, Department of Global Health, University of Washington , Seattle, WA. Kellye D. Sliger, MPH, is an Epidemiologist, Oak Ridge Associated Universities, Oak Ridge, TN. The authors are solely responsible for the content of this article; the views presented do not necessarily represent the official views of the Centers for Disease Control and Prevention. The authors have no conflicts of interest
| | - Martin I Meltzer
- Bishwa B. Adhikari, PhD, is a Senior Economist; Michael L. Washington, PhD, is a Health Scientist; Emily B. Kahn, PhD, is a Senior Epidemiologist; and Martin I. Meltzer, PhD, is Senior Health Economist/Distinguished Consultant; all at the National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Lisa M. Koonin, DrPH, MN, MPH, is Deputy Director, Influenza Coordination Unit, National Center for Immunization & Respiratory Diseases, CDC, Atlanta. Melissa L. Mugambi, PhD, is Assistant Professor, Department of Global Health, University of Washington , Seattle, WA. Kellye D. Sliger, MPH, is an Epidemiologist, Oak Ridge Associated Universities, Oak Ridge, TN. The authors are solely responsible for the content of this article; the views presented do not necessarily represent the official views of the Centers for Disease Control and Prevention. The authors have no conflicts of interest
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Abstract
INTRODUCTION Older adults are disproportionately affected by disaster. Frail elders, individuals with chronic diseases, conditions, or disabilities, and those who live in long-term care facilities are especially vulnerable. Purpose The purpose of this integrative review of the literature was to describe the system-wide knowledge and skills that multi-disciplinary health care providers need to provide appropriate care for the elderly during domestic-humanitarian and disaster-relief efforts. Data sources A systematic search protocol was developed in conjunction with a research librarian. Searches of PubMed, CINAHL, and PsycINFO were conducted using terms such as Disaster, Geological Processes, Aged, Disaster Planning, and Vulnerable Populations. Forty-six articles met criteria for inclusion in the review. CONCLUSIONS Policies and guidance regarding evacuating versus sheltering in place are lacking. Tenets of elderly-focused disaster planning/preparation and clarification of legal and ethical standards of care and liability issues are needed. Functional capacity, capabilities, or impairments, rather than age, should be considered in disaster preparation. Older adults should be included in disaster planning as population-specific experts. Implications for Practice A multifaceted approach to population-specific disaster planning and curriculum development should include consideration of the biophysical and psychosocial aspects of care, ethical and legal issues, logistics, and resources.
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Fain BA, Koonin LM, Stoto MA, Shah UA, Cooper SR, Piltch-Loeb RN, Kellermann AL. Facilitating access to antiviral medications and information during an influenza pandemic: engaging with the public on possible new strategies. Biosecur Bioterror 2014; 12:8-19. [PMID: 24552360 DOI: 10.1089/bsp.2013.0058] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Antiviral medications can decrease the severity and duration of influenza, but they are most effective if started within 48 hours of the onset of symptoms. In a severe influenza pandemic, normal channels of obtaining prescriptions and medications could become overwhelmed. To assess public perception of the acceptability and feasibility of alternative strategies for prescribing, distributing, and dispensing antivirals and disseminating information about influenza and its treatment, the Institute of Medicine, with technical assistance from the Centers for Disease Control and Prevention (CDC), convened public engagement events in 3 demographically and geographically diverse communities: Fort Benton, MT; Chattanooga, TN; and Los Angeles, CA. Participants were introduced to the issues associated with pandemic influenza and the challenges of ensuring timely public access to information and medications. They then discussed the advantages and disadvantages of 5 alternative strategies currently being considered by the CDC and its partners. Participants at all 3 venues expressed high levels of acceptance for each of the proposed strategies and contributed useful ideas to support their implementation. This article discusses the key findings from these sessions.
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Koonin LM, Hanfling D. Broadening Access to Medical Care During a Severe Influenza Pandemic: The CDC Nurse Triage Line Project. Biosecur Bioterror 2013; 11:75-80. [DOI: 10.1089/bsp.2013.0012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Lisa M. Koonin
- Lisa M. Koonin, MN, MPH, is Senior Advisor and Lead, Pandemic Medical Care and Countermeasures Task Force, Influenza Coordination Unit, Office of Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA. Dan Hanfling, MD, is Special Advisor, Emergency Preparedness and Response, Inova Health System, Falls Church, VA; Clinical Professor, Department of Emergency Medicine, George Washington University, Washington, DC; and Contributing Scholar, Center for Biosecurity of UPMC, Baltimore, MD
| | - Dan Hanfling
- Lisa M. Koonin, MN, MPH, is Senior Advisor and Lead, Pandemic Medical Care and Countermeasures Task Force, Influenza Coordination Unit, Office of Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA. Dan Hanfling, MD, is Special Advisor, Emergency Preparedness and Response, Inova Health System, Falls Church, VA; Clinical Professor, Department of Emergency Medicine, George Washington University, Washington, DC; and Contributing Scholar, Center for Biosecurity of UPMC, Baltimore, MD
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Satisfaction and public health cost of a statewide influenza nurse triage line in response to pandemic H1N1 influenza. PLoS One 2013; 8:e50492. [PMID: 23335953 PMCID: PMC3546035 DOI: 10.1371/journal.pone.0050492] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2012] [Accepted: 10/23/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The 2009 H1N1 pandemic strained healthcare systems. There was a need for supportive services, rapid antiviral access, and minimization of unnecessary healthcare contacts particularly face-to-face interactions. In response, the Minnesota Department of Health (MDH) launched a telephone-based nurse triage line (NTL) called the Minnesota FluLine coordinating all major MN healthcare systems with NTLs to form a single toll-free number triage service. Callers were evaluated for symptoms of influenza-like illness (ILI) and were prescribed an antiviral if indicated, using nurse administered protocols. METHODS To determine caller outcomes, associated healthcare seeking, and satisfaction a telephone survey of Minnesota FluLine callers was conducted using a 5% random sample of those who completed the protocol and those who did not. RESULTS Of 6,122 callers with ILI who began the nurse protocol administered by the contract NTL, 1,221 people were contacted for the survey and 325 agreed to participate; response rate was 26%. Of those who completed the nurse protocol 73% said they would have sought healthcare without the Minnesota FluLine, 89% reported the service was moderately or very helpful, and 91% reported being satisfied or very satisfied. Of those not completing the protocol, 50% reported the service was moderately or very helpful and 50% reported being satisfied or very satisfied. 72% of qualitative responses to open-ended questions were positive regarding the MN FluLine. Cost to MDH for operating the Minnesota FluLine service was $331,226 to service 27,391 callers ($12.09/call). DISCUSSION The Minnesota FluLine diverted patients with mild ILI symptoms away from acute care visits at low cost and had a high rate of satisfaction among callers. Early intervention likely prevented morbidity and possibly additional cases. NTLs are powerful and flexible tools for pandemic response and should be considered as an important tool for future emergency responses.
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