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1.
Mayo Clin Proc ; 96(5): 1165-1174, 2021 05.
Artigo em Inglês | MEDLINE | ID: mdl-33958053

RESUMO

OBJECTIVE: To estimate the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in health care personnel. METHODS: The Mayo Clinic Serology Screening Program was created to provide a voluntary, two-stage testing program for SARS-CoV-2 antibodies to health care personnel. The first stage used a dried blood spot screening test initiated on June 15, 2020. Those participants identified as reactive were advised to have confirmatory testing via a venipuncture. Venipuncture results through August 8, 2020, were considered. Consent and authorization for testing was required to participate in the screening program. This report, which was conducted under an institutional review board-approved protocol, only includes employees who have further authorized their records for use in research. RESULTS: A total of 81,113 health care personnel were eligible for the program, and of these 29,606 participated in the screening program. A total of 4284 (14.5%) of the dried blood spot test results were "reactive" and warranted confirmatory testing. Confirmatory testing was completed on 4094 (95.6%) of the screen reactive with an overall seroprevalence rate of 0.60% (95% CI, 0.52% to 0.69%). Significant variation in seroprevalence was observed by region of the country and age group. CONCLUSION: The seroprevalence for SARS-CoV-2 antibodies through August 8, 2020, was found to be lower than previously reported in other health care organizations. There was an observation that seroprevalence may be associated with community disease burden.


Assuntos
Anticorpos Antivirais/sangue , Teste Sorológico para COVID-19 , COVID-19 , Transmissão de Doença Infecciosa/estatística & dados numéricos , Pessoal de Saúde/estatística & dados numéricos , SARS-CoV-2 , Centros Médicos Acadêmicos , Adulto , COVID-19/sangue , COVID-19/epidemiologia , COVID-19/terapia , Teste Sorológico para COVID-19/métodos , Teste Sorológico para COVID-19/estatística & dados numéricos , Feminino , Humanos , Imunoglobulina G/sangue , Masculino , Pessoa de Meia-Idade , Saúde Pública/métodos , SARS-CoV-2/imunologia , SARS-CoV-2/isolamento & purificação , Estudos Soroepidemiológicos , Análise Espaço-Temporal , Estados Unidos/epidemiologia
3.
J Emerg Med ; 50(5): 784-90, 2016 May.
Artigo em Inglês | MEDLINE | ID: mdl-26826767

RESUMO

BACKGROUND: Physician in triage and rotational patient assignment are different front-end processes that are designed to improve patient flow, but there are little or no data comparing them. OBJECTIVE: To compare physician in triage with rotational patient assignment with respect to multiple emergency department (ED) operational metrics. METHODS: Design-Retrospective cohort review. Patients-Patients seen on 23 days on which we utilized a physician in triage with those patients seen on 23 matched days when we utilized rotational patient assignment. RESULTS: There were 1,869 visits during physician in triage and 1,906 visits during rotational patient assignment. In a simple comparison, rotational patient assignment was associated with a lower median length of stay (LOS) than physician in triage (219 min vs. 233 min; difference of 14 min; 95% confidence interval [CI] 5-27 min). In a multivariate linear regression incorporating multiple confounders, there was a nonsignificant reduction in the geometric mean LOS in rotational patient assignment vs. physician in triage (204 min vs. 217 min; reduction of 6.25%; 95% CI -3.6% to 15.2%). There were no significant differences between groups for left before being seen, left subsequent to being seen, early (within 72 h) returns, early returns with admission, or complaint ratio. CONCLUSIONS: In a single-site study, there were no statistically significant differences in important ED operational metrics between a physician in triage model and a rotational patient assignment model after adjusting for confounders.


Assuntos
Tempo de Internação/estatística & dados numéricos , Papel do Médico , Avaliação de Processos em Cuidados de Saúde/métodos , Triagem/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Serviço Hospitalar de Emergência/organização & administração , Feminino , Humanos , Modelos Lineares , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Triagem/normas , Triagem/estatística & dados numéricos
4.
Ann Emerg Med ; 67(2): 206-15, 2016 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-26452721

RESUMO

STUDY OBJECTIVE: We compare emergency department (ED) operational metrics obtained in the first year of a rotational patient assignment system (in which patients are assigned to physicians automatically according to an algorithm) with those obtained in the last year of a traditional physician self-assignment system (in which physicians assigned themselves to patients at physician discretion). METHODS: This was a pre-post retrospective study of patients at a single ED with no financial incentives for physician productivity. Metrics of interest were length of stay; arrival-to-provider time; rates of left before being seen, left subsequent to being seen, early returns (within 72 hours), and early returns with admission; and complaint ratio. RESULTS: We analyzed 23,514 visits in the last year of physician self-assignment and 24,112 visits in the first year of rotational patient assignment. Rotational patient assignment was associated with the following improvements (percentage change): median length of stay 232 to 207 minutes (11%), median arrival to provider time 39 to 22 minutes (44%), left before being seen 0.73% to 0.36% (51%), and complaint ratio 9.0/1,000 to 5.4/1,000 (40%). There were no changes in left subsequent to being seen, early returns, or early returns with admission. CONCLUSION: In a single facility, the transition from physician self-assignment to rotational patient assignment was associated with improvement in a broad array of ED operational metrics. Rotational patient assignment may be a useful strategy in ED front-end process redesign.


Assuntos
Tomada de Decisões , Serviço Hospitalar de Emergência/organização & administração , Triagem/métodos , Algoritmos , Serviço Hospitalar de Emergência/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Humanos , Tempo de Internação/estatística & dados numéricos , Satisfação do Paciente , Avaliação de Processos em Cuidados de Saúde , Estudos Retrospectivos , Fatores de Tempo , Recusa do Paciente ao Tratamento/estatística & dados numéricos , Listas de Espera , Carga de Trabalho
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