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Qual Manag Health Care ; 27(1): 24-29, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29280904

RESUMO

BACKGROUND: Mass casualty incidents may increase patient volume suddenly and dramatically, requiring hospitals to expeditiously manage bed inventories to release acute care beds for disaster victims. Electronic patient tracking systems combined with unit walk-throughs can identify patients for rapid discharge. The New York City (NYC) Department of Health and Mental Hygiene's 2013 Rapid Patient Discharge Assessment (RPDA) aimed to determine the maximum number of beds NYC hospitals could make available through rapid patient discharge and to characterize discharge barriers. METHODS: Unit representatives identified discharge candidates within normal operations in round 1 and additional discharge candidates during a disaster scenario in round 2. Descriptive statistics were performed. RESULTS: Fifty-five NYC hospitals participated in the RPDA exercise; 45 provided discharge candidate counts in both rounds. Representatives identified 4225 patients through the RPDA: among these, 1138 (26.9%) were already confirmed for discharge; 1854 (43.9%) were round 1 discharge candidates; and 1233 (29.2%) were round 2 discharge candidates. These 4225 patients represented 21.4% of total bed capacity. Frequently reported barriers included missing prescriptions for aftercare or discharge orders. CONCLUSION: The NYC hospitals could implement rapid patient discharge to clear one-fifth of occupied inpatient beds for disaster victims, given they address barriers affecting patients' safe and efficient discharge.


Assuntos
Planejamento em Desastres/organização & administração , Serviço Hospitalar de Emergência/organização & administração , Incidentes com Feridos em Massa/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Capacidade de Resposta ante Emergências/estatística & dados numéricos , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Criança , Pré-Escolar , Feminino , Hospitais Urbanos/organização & administração , Humanos , Lactente , Recém-Nascido , Masculino , Pessoa de Meia-Idade , Cidade de Nova Iorque , Sistemas de Identificação de Pacientes/organização & administração , Adulto Jovem
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