OBJECTIVE To assess the impact of implementing long-stay beds for patients of low complexity and high dependency in small hospitals on the performance of an emergency referral tertiary hospital.METHODS For this longitudinal study, we identified hospitals in three municipalities of a regional department of health covered by tertiary care that supplied 10 long-stay beds each. Patients were transferred to hospitals in those municipalities based on a specific protocol. The outcome of transferred patients was obtained by daily monitoring. Confounding factors were adjusted by Cox logistic and semiparametric regression.RESULTS Between September 1, 2013 and September 30, 2014, 97 patients were transferred, 72.1% male, with a mean age of 60.5 years (SD = 1.9), for which 108 transfers were performed. Of these patients, 41.7% died, 33.3% were discharged, 15.7% returned to tertiary care, and only 9.3% tertiary remained hospitalized until the end of the analysis period. We estimated the Charlson comorbidity index – 0 (n = 28 [25.9%]), 1 (n = 31 [56.5%]) and ≥ 2 (n = 19 [17.5%]) – the only variable that increased the chance of death or return to the tertiary hospital (Odds Ratio = 2.4; 95%CI 1.3;4.4). The length of stay in long-stay beds was 4,253 patient days, which would represent 607 patients at the tertiary hospital, considering the average hospital stay of seven days. The tertiary hospital increased the number of patients treated in 50.0% for Intensive Care, 66.0% for Neurology and 9.3% in total. Patients stayed in long-stay beds mainly in the first 30 (50.0%) and 60 (75.0%) days.CONCLUSIONS Implementing long-stay beds increased the number of patients treated in tertiary care, both in general and in system bottleneck areas such as Neurology and Intensive Care. The Charlson index of comorbidity is associated with the chance of patient death or return to tertiary care, even when adjusted for possible confounding factors.
Fundamento: Cerca de 40% dos pacientes com infarto agudo do miocárdio com supradesnível do segmento ST (IAMCSST) no Brasil não recebem terapia de reperfusão. Objetivo: A utilização de uma rede de telemedicina baseada no WhatsApp ® poderia aumentar a porcentagem de pacientes que recebem terapia de reperfusão. Métodos: Estudo transversal do tipo antes e depois da organização de uma rede de telemedicina para envio e análise do eletrocardiograma através do WhatsApp® dos pacientes suspeitos de IAMCSST oriundos dos 25 municípios integrantes do Departamento Regional de Saúde de Ribeirão Preto (DRS−XIII), para hospital terciário que poderia autorizar a transferência imediata do paciente utilizando o mesmo sistema. O desfechos analisados foram a porcentagem de pacientes que receberam terapia de reperfusão e a taxa de mortalidade intra-hospitalar. Considerou-se valor de p <0,05 como estatisticamente significativo. Resultados: Foram comparados 82 pacientes antes desta rede (1º de fevereiro de 2016 a 31 de janeiro de 2018) com 196 pacientes depois da implantação da mesma (1º de fevereiro de 2018 a 31 de janeiro de 2020). Após a implantação da rede, houve aumento significativo da proporção de pacientes que receberam terapia de reperfusão (60% vs. 92%), risco relativo (RR): 1,594 [intervalo de confiança (IC)
Background Emergency department (ED) crowding is a frequent situation. To decrease this overload, patients without a life-threating condition are transferred to wards that offer ED support. This study aimed to evaluate if implementing a rapid response team (RRT) triggered by the modified early warning score (MEWS) in high-risk wards offering ED support is associated with decreased in-hospital mortality rate. Methods A before-and-after cross-sectional study compared in-hospital mortality rates before and after implementation of an RRT triggered by the MEWS ≥4 in two wards of a tertiary hospital that offer ED support. Results We included 6863 patients hospitalized in these wards before RRT implementation from July 2015 through June 2017 and 6944 patients hospitalized in these same wards after RRT implementation from July 2018 through June 2020. We observed a statistically significant decrease in the in-hospital mortality rate after intervention, 449 deaths/6944 hospitalizations [6.47% (95% confidence interval (CI) 5.91%– 7.07%)] compared to 534 deaths/6863 hospitalizations [7.78% (95% CI 7.17–8.44)] before intervention; with an absolute risk reduction of -1.31% (95% CI -2.20 –-0.50). Conclusion RRT trigged by the MEWS≥4 in high-risk wards that offer ED support was found to be associated with a decreased in-hospital mortality rate. A further cluster-randomized trial should evaluate the impact of this intervention in this setting.
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