RESUMO
OBJECTIVE: Dysglycemia influences hospital outcomes and resource utilization. Clinical decision support (CDS) holds promise for optimizing care by overcoming management barriers. This study assessed the impact on hospital length of stay (LOS) of an alert-based CDS tool in the electronic medical record that detected dysglycemia or inappropriate insulin use, coined as gaps in care (GIC). RESEARCH DESIGN AND METHODS: Using a 12-month interrupted time series among hospitalized persons aged ≥18 years, our CDS tool identified GIC and, when active, provided recommendations. We compared LOS during 6-month-long active and inactive periods using linear models for repeated measures, multiple comparison adjustment, and mediation analysis. RESULTS: Among 4,788 admissions with GIC, average LOS was shorter during the tool's active periods. LOS reductions occurred for all admissions with GIC (-5.7 h, P = 0.057), diabetes and hyperglycemia (-6.4 h, P = 0.054), stress hyperglycemia (-31.0 h, P = 0.054), patients admitted to medical services (-8.4 h, P = 0.039), and recurrent hypoglycemia (-29.1 h, P = 0.074). Subgroup analysis showed significantly shorter LOS in recurrent hypoglycemia with three events (-82.3 h, P = 0.006) and nonsignificant in two (-5.2 h, P = 0.655) and four or more (-14.8 h, P = 0.746). Among 22,395 admissions with GIC (4,788, 21%) and without GIC (17,607, 79%), LOS reduction during the active period was 1.8 h (P = 0.053). When recommendations were provided, the active tool indirectly and significantly contributed to shortening LOS through its influence on GIC events during admissions with at least one GIC (P = 0.027), diabetes and hyperglycemia (P = 0.028), and medical services (P = 0.019). CONCLUSIONS: Use of the alert-based CDS tool to address inpatient management of dysglycemia contributed to reducing LOS, which may reduce costs and improve patient well-being.
Assuntos
Sistemas de Apoio a Decisões Clínicas , Diabetes Mellitus , Hiperglicemia , Hipoglicemia , Humanos , Adolescente , Adulto , Tempo de Internação , HospitaisRESUMO
Sepsis mortality may be improved by early recognition and appropriate treatment based on evidence-based guidelines. An intervention was developed that focused on earlier identification of sepsis, early antimicrobial administration, and an educational program that was disseminated throughout all hospital units and services. There were 1331 patients with sepsis during the intervention period and 1401 patients with sepsis during the control period. After controlling for expected mortality, patients in the intervention period had 30% lower odds of dying (odds ratio = 0.70, 95% confidence interval [CI] = 0.57 to 0.84). They also had 1.07 fewer days on average in the intensive care unit (95% CI = -1.98 to -0.16), 2.15 fewer hospital days (95% CI = -3.45 to -0.86), and incurred on average $1949 less in hospital costs, although the effect on costs was not statistically significant. Continued incremental improvement and sustainment is anticipated through organizational oversight, continued education, and initiation of an automated electronic sepsis alert function.
Assuntos
Capacitação em Serviço/organização & administração , Unidades de Terapia Intensiva/organização & administração , Melhoria de Qualidade/organização & administração , Sepse/terapia , Centros Médicos Acadêmicos/organização & administração , Algoritmos , Anti-Infecciosos/administração & dosagem , Protocolos Clínicos , Comorbidade , Prática Clínica Baseada em Evidências , Feminino , Preços Hospitalares , Mortalidade Hospitalar , Humanos , Unidades de Terapia Intensiva/economia , Tempo de Internação , Masculino , Pacotes de Assistência ao Paciente , Sepse/mortalidade , Resultado do TratamentoRESUMO
STUDY OBJECTIVE: We investigate the effect of admission process policies on patient flow in the emergency department (ED). METHODS: We surveyed an advisory panel group to determine approaches to admission process policies and classified them as admission decision is made by the team of providers (attending physicians, residents, physician extenders) (type 1) or attending physicians (type 2) on the admitting service, team of providers (type 3), or attending physicians (type 4) in the ED. We developed discrete-event simulation models of patient flow to evaluate the potential effect of the 4 basic policy types and 2 hybrid types, referred to as triage attending physician consultation and remote collaborative consultation on key performance measures. RESULTS: Compared with the current admission process policy (type 1), the alternatives were all effective in reducing the length of stay of admitted patients by 14% to 26%. In other words, patients may spend 1.4 to 2.5 hours fewer on average in the ED before being admitted to internal medicine under a new admission process policy. The improved flow of admitted patients decreased both the ED length of stay of discharged patients and the overall length of stay by up to 5% and 6.4%, respectively. These results are framed in context of teaching mission and physician experience. CONCLUSION: An efficient admission process can reduce waiting times for both admitted and discharged ED patients. This study contributed to demonstrating the potential value of leveraging admission process policies and developing a framework for pursuing these policies.