Measles Outbreak Included Four Office-Visit Transmissions

Introduction: Telemedicine is an increasingly prevalent component of medical practice. In otolaryngology, there is the potential for telemedicine services to be performed in conjunction with device use, such as with a nasolaryngoscope. This study evaluates the reliability of remote examinations of the upper airway through an iPhone recording using a coupling device attached to a nasopharyngolaryngoscope (NPL). Methods: A prospective, blinded study was performed for pediatric patients requiring an NPL during an office visit. The NPL was performed using a coupling device attached to a smartphone to record the examination. A second, remote otolaryngologist then evaluated the recorded examination. Both otolaryngologists evaluated findings of anatomic sites including nasopharynx, oropharynx, base of tongue, larynx including subsites of epiglottis, arytenoids, aryepiglottic folds, false vocal cords, true vocal cords, patency of airway, and diagnostic impression, all of which were documented through a survey. Results of the survey were evaluated through inter-rater agreement using the κ statistic. Results: Forty-five patients underwent an NPL, all of which were included in the study. The average age was 4.9 years. The most common complaint requiring NPL was noisy breathing (n = 16). The inter-rater agreement for overall diagnosis was 0.74 with 80% percent agreement, rated as “good.” Other anatomic subsites with “good” or better inter-rater agreement were nasopharynx (0.75), oropharynx (0.75), and true vocal cords (0.71), with strong percentage agreement of 89%, 91%, and 87%, respectively. Both users of the adaptor found the recording setup to run smoothly. Conclusion: A telemedicine device for NPL use demonstrates strong diagnostic accuracy across providers and good overall evaluation. It holds potential for use in remote settings.

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Use of a Multidisciplinary Incident Command System in Response to Measles Outbreak in Maryland

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.1184 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s502-s504

Author(s):

Taylor McIlquham ◽

Anna Sick-Samuels ◽

Carrie Billman ◽

Jennifer Andonian ◽

Melissa Dudley ◽

...

Keyword(s):

The United States ◽

Johns Hopkins Hospital ◽

Occupational Health Services ◽

Becton Dickinson ◽

Distributed Resources ◽

Incident Command System ◽

Secondary Transmission ◽

Incident Command ◽

Measles Outbreak ◽

Triage Algorithm

Background: Measles is a highly contagious virus that reemerged in 2019 with the highest number of reported cases in the United States since 1992. Beginning in March 2019, The Johns Hopkins Hospital (JHH) responded to an influx of patients with concern for measles as a result of outbreaks in Maryland and the surrounding states. We report the JHH Department of Infection Control and Hospital Epidemiology (HEIC) response to this measles outbreak using a multidisciplinary measles incident command system (ICS). Methods: The JHH HEIC and the Johns Hopkins Office of Emergency Management established the HEIC Clinical Incident Command Center and coordinated a multipronged response to the measles outbreak with partners from occupational health services, microbiology, the adult and pediatric emergency departments, marketing and communication and local and state public health departments. The multidisciplinary structure rapidly developed, approved, and disseminated tools to improve the ability of frontline providers to quickly identify, isolate, and determine testing needs for patients suspected to have measles infection and reduce the risk of secondary transmission. The tools included a triage algorithm, visitor signage, staff and patient vaccination guidance and clinics, and standard operating procedures for measles evaluation and testing. The triage algorithms were developed for phone or in-person and assessed measles exposure history, immune status, and symptoms, and provided guidance regarding isolation and the need for testing. The algorithms were distributed to frontline providers in clinics and emergency rooms across the Johns Hopkins Health System. The incident command team also distributed resources to community providers to reduce patient influx to JHH and staged an outdoor measles evaluation and testing site in the event of a case influx that would exceed emergency department resources. Results: From March 2019 through June 2019, 37 patients presented with symptoms or concern for measles. Using the ICS tools and algorithms, JHH rapidly identified, isolated, and tested 11 patients with high suspicion for measles, 4 of whom were confirmed positive. Of the other 26 patients not tested, none developed measles infection. Exposures were minimized, and there were no secondary measles transmissions among patients. Conclusions: Using the ICS and development of tools and resources to prevent measles transmission, including a patient triage algorithm, the JHH team successfully identified, isolated, and evaluated patients with high suspicion for measles while minimizing exposures and secondary transmission. These strategies may be useful to other institutions and locales in the event of an emerging or reemerging infectious disease outbreak.Funding: NoneDisclosures: Aaron Milstone reports consulting for Becton Dickinson.

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After Action Review of the 2019 measles outbreak in Clark County, Washington, U.S.A

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.598 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

M Stoto ◽

R Piltch-Loeb ◽

R Wolfe ◽

R Albrandt ◽

A Melnick

Keyword(s):

Public Health ◽

Religious Community ◽

Local Health ◽

Mutual Aid ◽

Social Distancing ◽

Clark County ◽

After Action Review ◽

Measles Outbreak ◽

Health Practitioners ◽

Public Health Practitioners

Abstract Issue Clark County experienced a measles outbreak that challenged public health authorities. Description of the practice: We conducted a formal After Action Review with state and local health officials, school officials, and others to identify lessons for public health practitioners facing future outbreaks. Results Following the early identification of measles in a child who had recently arrived from Ukraine, active surveillance identified 71 confirmed cases, most in unvaccinated persons under 18 years of age. 4,138 contacts were traced and public health personnel made daily monitoring calls to 816. 53 potential exposure sites in healthcare facilities, schools and other public places were identified and communicated to the public. As a social distancing measure, unvaccinated students, teachers, and staff were excluded from schools in which exposure had occurred. Ascertaining susceptibility status was challenging. The national anti-vaccination sentiment and a parallel outbreak in a New York religious community created challenges in representing community risk while avoiding stigmatization of a community in which the first reported case was identified. Rather than respond to every false claim on social media, the health department developed talking points about emerging issues and engaged the community in dialogue. Lessons Responding to the measles outbreak required innovative approaches to surveillance and contact tracing, social distancing (school exclusions), and emergency risk communication. The response required extensive coordinated efforts of the county and state health departments, school systems, and many other organizations. Mutual aid enabled an influx of resources but managing the surge of responders proved challenging. Key messages Public health emergencies require effective emergency management practices. Carefully conducted After Action Reviews of health emergencies can help public health practitioners identify challenges and innovative practices.

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Remote heart failure management using a multiparameter implantable cardioverter-defibrillator alert: the multicentric RE-HEART registry

European Heart Journal ◽

10.1093/ehjci/ehaa946.3465 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

J De Juan Baguda ◽

J.J Gavira Gomez ◽

M Pachon Iglesias ◽

L Pena Conde ◽

J.M Rubin Lopez ◽

...

Keyword(s):

Heart Failure ◽

Implantable Cardioverter Defibrillator ◽

Median Duration ◽

Office Visit ◽

Active Phase ◽

Cardiac Resynchronization ◽

Office Visits ◽

Icd Implantation ◽

Cardioverter Defibrillator ◽

Clinical Events

Abstract Background The HeartLogic algorithm combines multiple implantable cardioverter-defibrillator (ICD)-based sensors into an index for prediction of impending heart failure (HF) decompensation. In patients with ICD and cardiac resynchronization therapy ICD remotely monitored at 13 Spanish centers, we analyzed the association between clinical events and HeartLogic alerts and we described the use of the algorithm for the remote management of HF. Methods The association between clinical events and HeartLogic alerts was studied in the blinded phase (from ICD implantation to alert activation – no clinical actions taken in response to alerts) and in the following active phase (after alert activation – clinicians automatically notified in case of alert). Results We enrolled a total of 215 patients (67±13 years old, 77% male, 53% with ischemic cardiomyopathy) with ICD (19%) or CRT-D (81%). The median duration of the blinded phase was 8 [3–12] months. In this phase, the HeartLogic index crossed the threshold value (set by default to 16) 34 times in 20 patients. HeartLogic alerts were associated with 6 HF hospitalizations and 5 unplanned in-office visits for HF. Five additional HeartLogic threshold crossings were not associated with overt HF events, but occurred at the time of changes in drug therapy or of other clinical events. The rate of unexplained alerts was 0.25 alert-patient/year. The median time spent in alert was longer in the case of HF hospitalizations than of in-office visits (75 [min-max: 30–155] days versus 39 [min-max: 5–105] days). The maximum HeartLogic index value was 38±15 in the case of hospitalizations and 24±7 in that of minor HF events. The median duration of the following active phase was 5 [2–10] months. After HeartLogic activation, 40 alerts were reported in 26 patients. Twenty-seven (68%) alerts were associated with multiple HF- or non-HF related conditions or changes in prescribed HF therapy. Multiple actions were triggered by these alerts: HF hospitalization (4), unscheduled in-office visits (8), diuretics increase (8), change in other cardiovascular drugs (5), device reprogramming (2), atrial fibrillation ablation (1), patient education on therapy adherence (2). The rate of unexplained alerts not followed by any clinical action was 0.13 alert-patient/year. These alerts were managed remotely (device data review and phone contact), except for one alert that generated an unscheduled in-office visit. Conclusions HeartLogic index was frequently associated with HF-related clinical events. The activation of the associated alert allowed to remotely detect relevant clinical conditions and to implement clinical actions. The rate of unexplained alerts was low, and the work required in order to exclude any impending decompensation did not constitute a significant burden for the centers. Funding Acknowledgement Type of funding source: None

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Hospital Preparedness for a Community Measles Outbreak in Ribeirao Preto, Brazil

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.814 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s253-s253

Author(s):

Silvia Fonseca ◽

Ivana Lucca ◽

Franceliana Sgobi ◽

Andre Fioravante ◽

Alexandre Celia ◽

...

Keyword(s):

Tertiary Care ◽

Maculopapular Rash ◽

Sao Paulo ◽

Suspected Case ◽

Care Hospital ◽

São Paulo ◽

Measles Outbreak ◽

Hospital Infection Control ◽

Hospital Preparedness ◽

Measles Vaccination

Background: Measles was considered eradicated in Brazil in 2016, but the virus reemerged in the country in 2018, causing large outbreaks. Ribeirao Preto has been measles free since 1997, but the outbreak in Sao Paulo City, 180 miles away in June 2019, alerted us to the possibility of measles patients coming to our emergency room (ER). The preparedness challenge was considerable: most healthcare workers (HCWs) had never seen a measles case before, and confirmatory measles laboratory tests were not readily available to us. Objective: To describe the hospital preparedness for the coming community measles outbreak. Methods: Hospital So Francisco is a 170-bed, general, tertiary-care hospital with 10,000 ER visits monthly. Measles preparedness consisted of measles training classes for HCWs, and flow charts with pictures and measles information in every ER office, also sent to HCW cell phones. We also designated areas for suspected measles patients for prompt medical evaluation; and we implemented mass measles vaccination for all hospital HCWs regardless of vaccination status, excluding pregnant or immunosuppressed HCWs. We considered a measles suspected case any person with fever, 1 of 3 symptoms (cough, coryza or conjunctivitis), and a generalized maculopapular rash with head-to-toe distribution. All contacts for suspected cases were recommended to obtain a measles vaccination. Detection of viral RNA in a biological sample and or a positive IgM result in serum was used to confirm a clinically suspected case. The study period spanned July 2019 to September 2019. Results: Measles training occurred for 3 weeks in July–August and reached 200 HCWs. The measles vaccination was offered July 23 to August 15; 1,362 HCWs were already vaccinated (93% of target population). In total, 35 clinical suspected measles cases were seen in the ER, and 3 of these were HCWs who had received the measles vaccine in their incubation period. Also, 3 patients were admitted to the hospital and 1 to the intensive care unit; there were no deaths. Overall, 8 patients had laboratory-confirmed measles, and 1,343 community contacts of these patients were vaccinated. We did not detect measles transmission to inpatients or to other HCWs after mass vaccination began. In the same period, Sao Paulo state had >7,000 laboratory-confirmed measles cases and 12 deaths. Conclusions: Community measles outbreaks are a challenge for the hospital infection control team, and they can potentially disrupt the daily activities in the hospital. We were able to adequately prepare for the largest state outbreak in 20 years without secondary cases or deaths.Funding: NoneDisclosures: None

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Development and Evaluation of a Prediabetes Decision Aid in Primary Care: Examining Patient-Reported Outcomes by Language Preference and Educational Attainment

The Science of Diabetes Self-Management and Care ◽

10.1177/26350106211009189 ◽

2021 ◽

Vol 47 (3) ◽

pp. 216-227

Author(s):

Keerthi Bandi ◽

Maria C. Vargas ◽

Azucena Lopez ◽

Kenzie A. Cameron ◽

Ronald T. Ackermann ◽

...

Keyword(s):

Educational Attainment ◽

Decision Aid ◽

Patient Reported Outcomes ◽

Office Visit ◽

Decisional Conflict ◽

Language Preference ◽

Intention To Adopt ◽

Patient Reported ◽

Evidence Based Treatments ◽

Almost All

Purpose The purpose of this study was to examine the development and preliminary effectiveness of a novel Prediabetes Decision Aid on adoption of intensive lifestyle interventions (ILIs) and metformin. Little research has focused on increasing uptake of these evidence-based treatments, especially among non-English speakers and those with low educational attainment. Methods Investigators developed an English and Spanish decision aid displaying information about type 2 diabetes (T2DM) risk and treatments to prevent T2DM and prompting patients to identify next steps for management. This pilot study was a single-arm, pretest-posttest trial of 40 adult patients with prediabetes, obesity, and ≥1 office visit within the prior 12 months. Participants reviewed this tool briefly with a study team member, and data were collected on 3 coprimary outcomes: knowledge about T2DM risk, decisional conflict, and intention to adopt treatment. Exploratory outcomes included subsequent documentation of prediabetes in chart notes and adoption of ILIs or metformin. Results Almost all participants were women, with nearly half expressing Spanish language preference and low educational attainment. A nonsignificant increase in knowledge was observed across all subgroups. Decisional conflict was significantly reduced from pretest to posttest and was similar between subgroups defined by language preference and educational attainment. While intention to adopt ILIs increased across all subgroups, this change was only significant among Spanish speakers and participants with low educational attainment. At 6 months, 17 participants had subsequent provider documentation of prediabetes, and 12 adopted ILIs or metformin. Conclusions The decision aid improved patient-reported outcomes and promoted treatment adoption in a diverse patient sample.

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