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1.
JAMA Psychiatry ; 79(8): 746-747, 2022 08 01.
Artículo en Inglés | MEDLINE | ID: covidwho-1981520
2.
Pediatrics ; 150(1)2022 07 01.
Artículo en Inglés | MEDLINE | ID: covidwho-1833780

RESUMEN

BACKGROUND: Automated sepsis alerts in pediatric emergency departments (EDs) can identify patients at risk for sepsis, allowing for earlier intervention with appropriate therapies. The impact of the COVID-19 pandemic on the performance of pediatric sepsis alerts is unknown. METHODS: We performed a retrospective cohort study of 59 335 ED visits before the pandemic and 51 990 ED visits during the pandemic in an ED with an automated sepsis alert based on systemic inflammatory response syndrome criteria. The sensitivity, specificity, negative predictive value, and positive predictive value of the sepsis algorithm were compared between the prepandemic and pandemic phases and between COVID-19-negative and COVID-19-positive patients during the pandemic phase. RESULTS: The proportion of ED visits triggering a sepsis alert was 7.0% (n = 4180) before and 6.1% (n = 3199) during the pandemic. The number of sepsis alerts triggered per diagnosed case of hypotensive septic shock was 24 in both periods. There was no difference in the sensitivity (74.1% vs 72.5%), specificity (93.2% vs 94.0%), positive predictive value (4.1% vs 4.1%), or negative predictive value (99.9% vs 99.9%) of the sepsis alerts between these periods. The alerts had a lower sensitivity (60% vs 73.3%) and specificity (87.3% vs 94.2%) for COVID-19-positive versus COVID-19-negative patients. CONCLUSIONS: The sepsis alert algorithm evaluated in this study did not result in excess notifications and maintained adequate performance during the COVID-19 pandemic in the pediatric ED setting.


Asunto(s)
COVID-19 , Sepsis , COVID-19/diagnóstico , COVID-19/epidemiología , Niño , Servicio de Urgencia en Hospital , Humanos , Pandemias , Estudios Retrospectivos , Sepsis/diagnóstico , Sepsis/epidemiología
3.
PLoS One ; 16(12): e0261115, 2021.
Artículo en Inglés | MEDLINE | ID: covidwho-1574235

RESUMEN

BACKGROUND: The United States is experiencing a drug addiction and overdose crisis, made worse by the COVID-19 pandemic. Relative to other types of health services, addiction treatment and overdose prevention services are particularly vulnerable to disaster-related disruptions for multiple reasons including fragmentation from the general medical system and stigma, which may lead decisionmakers and providers to de-prioritize these services during disasters. In response to the COVID-19 pandemic, U.S. states implemented multiple policies designed to mitigate disruptions to addiction treatment and overdose prevention services, for example policies expanding access to addiction treatment delivered via telehealth and policies designed to support continuity of naloxone distribution programs. There is limited evidence on the effects of these policies on addiction treatment and overdose. This evidence is needed to inform state policy design in future disasters, as well as to inform decisions regarding whether to sustain these policies post-pandemic. METHODS: The overall study uses a concurrent-embedded design. Aims 1-2 use difference-in-differences analyses of large-scale observational databases to examine how state policies designed to mitigate the effects of the COVID-19 pandemic on health services delivery influenced addiction treatment delivery and overdose during the pandemic. Aim 3 uses a qualitative embedded multiple case study approach, in which we characterize local implementation of the state policies of interest; most public health disaster policies are enacted at the state level but implemented at the local level by healthcare systems and local public health authorities. DISCUSSION: Triangulation of results across methods will yield robust understanding of whether and how state disaster-response policies influenced drug addiction treatment and overdose during the COVID-19 pandemic. Results will inform policy enactment and implementation in future public health disasters. Results will also inform decisions about whether to sustain COVID-19 pandemic-related changes to policies governing delivery addiction and overdose prevention services long-term.


Asunto(s)
COVID-19 , Atención a la Salud/métodos , Sobredosis de Droga/tratamiento farmacológico , Trastornos Relacionados con Sustancias/terapia , Desastres , Sobredosis de Droga/mortalidad , Política de Salud , Servicios de Salud , Humanos , Evaluación de Procesos y Resultados en Atención de Salud , Estados Unidos
4.
Radiol Case Rep ; 16(10): 3024-3028, 2021 Oct.
Artículo en Inglés | MEDLINE | ID: covidwho-1313396

RESUMEN

We present 3 cases reporting the normal appearance of the post COVID-19 vaccination on shoulder MRI exams. All 3 patients were imaged 1 to 5 days post-vaccination for unrelated MSK shoulder symptoms, and none reported any symptoms besides mild shoulder discomfort for a day or 2 following vaccine administration. All 3 patients demonstrated characteristic deltoid edema, quadrilateral space region edema and axillary nodal prominence. Vessel prominence with t2 and t1 increased signal draining to the approximate location of the quadrilateral space and axilla was an associated feature. The normal appearance of the covid-19 vaccine on shoulder MRI has not been previously described, and recognition by the radiologist will prevent erroneous differential diagnosis, unnecessary medical workups, and detract from the clinically relevant pathological imaging findings in patients with shoulder pain.

5.
J Med Internet Res ; 23(7): e29240, 2021 07 26.
Artículo en Inglés | MEDLINE | ID: covidwho-1302085

RESUMEN

BACKGROUND: Telemedicine has been deployed by health care systems in response to the COVID-19 pandemic to enable health care workers to provide remote care for both outpatients and inpatients. Although it is reasonable to suspect telemedicine visits limit unnecessary personal contact and thus decrease the risk of infection transmission, the impact of the use of such technology on clinician workflows in the emergency department is unknown. OBJECTIVE: This study aimed to use a real-time locating system (RTLS) to evaluate the impact of a new telemedicine platform, which permitted clinicians located outside patient rooms to interact with patients who were under isolation precautions in the emergency department, on in-person interaction between health care workers and patients. METHODS: A pre-post analysis was conducted using a badge-based RTLS platform to collect movement data including entrances and duration of stay within patient rooms of the emergency department for nursing and physician staff. Movement data was captured between March 2, 2020, the date of the first patient screened for COVID-19 in the emergency department, and April 20, 2020. A new telemedicine platform was deployed on March 29, 2020. The number of entrances and duration of in-person interactions per patient encounter, adjusted for patient length of stay, were obtained for pre- and postimplementation phases and compared with t tests to determine statistical significance. RESULTS: There were 15,741 RTLS events linked to 2662 encounters for patients screened for COVID-19. There was no significant change in the number of in-person interactions between the pre- and postimplementation phases for both nurses (5.7 vs 7.0 entrances per patient, P=.07) and physicians (1.3 vs 1.5 entrances per patient, P=.12). Total duration of in-person interactions did not change (56.4 vs 55.2 minutes per patient, P=.74) despite significant increases in telemedicine videoconference frequency (0.6 vs 1.3 videoconferences per patient, P<.001 for change in daily average) and duration (4.3 vs 12.3 minutes per patient, P<.001 for change in daily average). CONCLUSIONS: Telemedicine was rapidly adopted with the intent of minimizing pathogen exposure to health care workers during the COVID-19 pandemic, yet RTLS movement data did not reveal significant changes for in-person interactions between staff and patients under investigation for COVID-19 infection. Additional research is needed to better understand how telemedicine technology may be better incorporated into emergency departments to improve workflows for frontline health care clinicians.


Asunto(s)
COVID-19/diagnóstico , COVID-19/prevención & control , Servicio de Urgencia en Hospital/organización & administración , Personal de Salud/organización & administración , Telemedicina , Flujo de Trabajo , COVID-19/epidemiología , Infección Hospitalaria/prevención & control , Humanos , Pandemias , SARS-CoV-2 , Factores de Tiempo
6.
Disaster Med Public Health Prep ; 16(5): 1792-1794, 2022 10.
Artículo en Inglés | MEDLINE | ID: covidwho-1149640

RESUMEN

OBJECTIVES: Summer camp can positively affect self-esteem and social skills. Most United States summer camps did not open during 2020 because of concerns about severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). Our objective is to describe exclusion strategies successfully used by 2 summer camps in Maine. METHODS: Before camp arrival, all attendees were asked to quarantine at home for 14 d and perform a daily symptom checklist. Salivary specimens were submitted by mail for SARS-COV-2 PCR testing 4 d before arrival, and again 4 d after arrival. At camp, multiple layers of nonpharmaceutical interventions (NPIs) were used. RESULTS: A total of 717 (96.7%) prospective attendees underwent remotely supervised saliva collection; 4 were positive and did not come to camp. Among the 20 who did not submit a sample, 3 did not come to camp; the other 17 underwent screening and a rapid antigen test for SARS-COV-2 immediately upon arrival and before reporting to communal living spaces; all were negative. All campers and staff were re-tested by salivary polymerase chain reaction 4 d after arrival, and all were negative. CONCLUSIONS: We demonstrate that it is possible to safely operate overnight camps during a pandemic, thus supporting the continued physical and socioemotional growth of children, using multiple layers of NPIs.


Asunto(s)
COVID-19 , SARS-CoV-2 , Niño , Humanos , Estados Unidos , Maine/epidemiología , Estudios Prospectivos , COVID-19/epidemiología , Pandemias
7.
Am J Prev Med ; 59(3): 445-448, 2020 09.
Artículo en Inglés | MEDLINE | ID: covidwho-598912

RESUMEN

INTRODUCTION: This study aims to quantify out-of-pocket spending associated with respiratory hospitalizations for conditions similar to those caused by coronavirus disease 2019 and to compare out-of-pocket spending differences among those enrolled in consumer-directed health plans and in traditional, low-deductible plans. METHODS: This study used deidentified administrative claims from the OptumLabs Data Warehouse (January 1, 2016-August 31, 2019) to identify patients with a respiratory hospitalization. It compared unadjusted out-of-pocket spending among consumer-directed health plan enrollees with that among traditional plan enrollees using difference of mean significance tests and repeated the analysis separately by age category and calendar year quarter. These data were collected on a rolling basis by OptumLabs and were analyzed in March 2020. RESULTS: Commercially insured consumer-directed health plan enrollees had significantly higher out-of-pocket spending than traditional plan enrollees, and these differences were largest among younger populations. The largest difference in out-of-pocket spending occurred during the first half of the year. CONCLUSIONS: Consumer-directed health plan enrollees may experience differential financial burden from a hospitalization related to coronavirus disease 2019. Although some insurers are waiving cost-sharing payments for coronavirus disease 2019 treatment, self-insured employers remain exempt. As of now, policy responses may be insufficient to reduce the financial burden on consumer-directed health plans enrollees with respiratory hospitalizations related to coronavirus disease 2019.


Asunto(s)
Infecciones por Coronavirus/terapia , Planes de Asistencia Médica para Empleados/economía , Gastos en Salud/estadística & datos numéricos , Hospitalización/economía , Neumonía Viral/terapia , Adolescente , Adulto , Factores de Edad , COVID-19 , Niño , Preescolar , Infecciones por Coronavirus/economía , Seguro de Costos Compartidos , Humanos , Lactante , Recién Nacido , Persona de Mediana Edad , Pandemias/economía , Neumonía Viral/economía , Estados Unidos , Adulto Joven
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