Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
1.
Psychol Health Med ; 24(4): 414-428, 2019 04.
Artículo en Inglés | MEDLINE | ID: mdl-30372132

RESUMEN

Emergency medicine is one of the medical fields with the highest rates of physician burnout. Research demonstrates hospitalists believe increasing workloads contribute to decreases in patient safety and satisfaction, and increases in morbidity and mortality. Our objective was to identify if emergency physicians who believe workload impacts patient care also experience worse rates of burnout symptoms. This two-phase study used an online survey with cross-sectional design distributed to emergency medicine physicians following the New Jersey American College of Emergency Physicians (NJ ACEP) Scientific Assembly in May 2016 and members of the ACEP Well-Being Committee and Wellness Section in December 2016. Respondents felt the greatest workload burdens by being '…unable to fully discuss treatment options or answer questions of a patient or family member' or leading to 'Delay in admitting or discharging patients.' Excessive workload also contributed to respondents having to 'Admit to hospital instead of discharge' and resulted in 'Worsened patient satisfaction.' The 'Emotional Exhaustion' domain of the Maslach Burnout Inventory was the most highly affected by the perceived effects of workload on patient outcomes and 'Personal Accomplishment' was least affected. This research highlights the perception that workload contributing to patient harm may be associated with emergency medicine burnout.


Asunto(s)
Agotamiento Profesional/psicología , Servicio de Urgencia en Hospital , Médicos/psicología , Carga de Trabajo/psicología , Estudios Transversales , Femenino , Humanos , Satisfacción en el Trabajo , Masculino , Persona de Mediana Edad , Encuestas y Cuestionarios
2.
J Emerg Med ; 49(6): 893-900, 2015 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-26409680

RESUMEN

BACKGROUND: Emergency department (ED) and hospital crowding adversely impacts patient care. Although reduction methods for duration of stay in the ED have been explored, few focus on medical intensive care unit (MICU) patients. OBJECTIVE: To quantify duration of stay or mortality changes associated with a policy intervention that changed the role of an MICU resident to "screen" and write MICU admission orders in the ED to instead meet the patient and write orders in the MICU if there was an available bed. The intervention moved "screening" bed management-appropriateness discussions to the MICU attending or fellow level. METHODS: We performed a retrospective before and after study at an urban, level 1 trauma center of adults admitted to the MICU from the ED during the first 6 months in 2009 before, and the corresponding 6 months in 2010, after the intervention. We collected demographics, ED, MICU, and hospital duration of stay, duration of mechanical ventilation, Acute Physiology and Chronic Health Evaluation (APACHE) scores, and mortality from electronic medical records. Linear models compared duration of stay differences; logistic regression compared in-hospital mortality. T-tests assessed APACHE score changes before and after the policy change. Analyses were adjusted for age and sex. RESULTS: We included 498 patients, average age 66 years (±18), 52% male. Hospital duration of stay decreased 18% from 6.8 to 5.6 days (unadjusted p = 0.029). MICU duration of stay decreased from 3.5 to 3.3 days (unadjusted p = 0.34) and ED duration of stay from arrival to physical transfer decreased 40 min (375 to 324 min; unadjusted p = 0.006). Mortality and APACHE scores were unchanged. CONCLUSIONS: A streamlined admission intervention from the ED to the MICU was associated with decreased ED and hospital duration of stay without altering mortality.


Asunto(s)
Servicio de Urgencia en Hospital/organización & administración , Unidades de Cuidados Intensivos/organización & administración , Tiempo de Internación/estadística & datos numéricos , Política Organizacional , Admisión del Paciente/estadística & datos numéricos , APACHE , Anciano , Aglomeración , Femenino , Mortalidad Hospitalaria , Humanos , Masculino , Respiración Artificial/estadística & datos numéricos , Estudios Retrospectivos , Centros Traumatológicos
4.
Acad Emerg Med ; 20(11): 1171-9, 2013 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-24238321

RESUMEN

OBJECTIVES: There has been a steady increase in emergency department (ED) patient volume and wait times. The desire to maintain or decrease costs while improving throughput requires novel approaches to patient flow. The break-out session "Interventions to Improve the Timeliness of Emergency Care" at the June 2011 Academic Emergency Medicine consensus conference "Interventions to Assure Quality in the Crowded Emergency Department" posed the challenge for more research of the split Emergency Severity Index (ESI) 3 patient flow model. A split ESI 3 patient flow model divides high-variability ESI 3 patients from low-variability ESI 3 patients. The study objective was to determine the effect of implementing a split ESI 3 flow model has on patient length of stay (LOS) for discharged patients. METHODS: This was a retrospective chart review at an urban academic ED seeing over 70,000 adult patients a year. Cases consisted of adults who presented from 9 a.m. to 11 p.m. from June 1, 2011, to December 31, 2011, and were discharged. Controls were patients who presented on the same times and days, but in 2010. Visit descriptors included age, race, sex, ESI score, and first diagnosis. The first diagnosis was coded based on methods used by the Agency for Healthcare Research and Quality to codify International Classification of Diseases, ninth version, into disease groups. Linear models compared log-transformed LOS for cases and controls. A front-end ED redesign involved creating guidelines to split ESI 3 patients into low and high variability, a hybrid sort/triage registered nurse, an intake area consisting of an internal results waiting room, and a treatment area for patients after initial assessment. The previous low-acuity area (ESI 4s and 5s) began to see low-variability ESI 3 patients as well. This was done without additional beds. The intake area was staffed with an attending emergency physician (EP), a physician assistant (PA), three nurses, two medical technicians, and a scribe. RESULTS: There was a 5.9% decrease, from 2.58 to 2.43 hours, in the geometric mean of LOS for discharged patients from 2010 to 2011 (95% confidence interval CI = 4.5% to 7.2%; 2010, n = 20,215; 2011, n = 20,653). Abdominal pain was the most common diagnostic grouping (2010, n = 2,484; 2011, n = 2,464) with a reduction in LOS of 12.9%, from 4.37 to 3.8 hours (95% CI = 10.3% to 15.3%). CONCLUSIONS: A split ESI 3 patient flow model improves door-to-discharge LOS in the ED.


Asunto(s)
Aglomeración , Servicio de Urgencia en Hospital/organización & administración , Tiempo de Internación/estadística & datos numéricos , Modelos Organizacionales , Alta del Paciente/estadística & datos numéricos , Índice de Severidad de la Enfermedad , Triaje/métodos , Adulto , Anciano , Estudios de Casos y Controles , Eficiencia Organizacional , Femenino , Hospitales Urbanos , Humanos , Masculino , Cuerpo Médico de Hospitales/estadística & datos numéricos , Persona de Mediana Edad , Estudios Retrospectivos , Estados Unidos
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA