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Impact of geographical cohorting, multidisciplinary rounding and incremental case management support on hospital length of stay and readmission rates: a propensity weighted analysis.
Jolly Graham, Aubrey; Platt, Alyssa; Knutsen, Kristian; Fletcher, Emily; Gallagher, David.
Afiliación
  • Jolly Graham A; Hospital Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
  • Platt A; Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
  • Knutsen K; Performance Services, Duke University Health System, Durham, North Carolina, USA.
  • Fletcher E; Hospital Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
  • Gallagher D; Hospital Medicine, Duke University School of Medicine, Durham, North Carolina, USA david.gallagher@duke.edu.
BMJ Open Qual ; 13(2)2024 May 23.
Article en En | MEDLINE | ID: mdl-38782488
ABSTRACT
Hospital length of stay (LOS) in the USA has been increasing since the start of the COVID-19 pandemic, with numerous negative outcomes, including decreased quality of care, worsened patient satisfaction and negative financial impacts on hospitals. While many proposed factors contributing to prolonged LOS are challenging to modify, poor coordination of care and communication among clinical teams can be improved.Geographical cohorting of provider teams, patients and other clinical staff is proposed as a solution to prolonged LOS and readmissions. However, many studies on geographical cohorting alone have shown no significant impact on LOS or readmissions. Other potential benefits of geographical cohorting include improved quality of care, learning experience, communication, teamwork and efficiency.This paper presents a retrospective study at Duke University Hospital (DUH) on the General Medicine service, deploying a bundled intervention of geographical cohorting of patients and their care teams, twice daily multidisciplinary rounds and incremental case management support. The quality improvement study found that patients in the intervention arm had 16%-17% shorter LOS than those in the control arms, and there was a reduction in 30-day hospital readmissions compared with the concurrent control arm. Moreover, there was some evidence of improved accuracy of estimated discharge dates in the intervention arm.Based on these findings, the health system at DUH recognised the value of geographical cohorting and implemented additional geographically based medicine units with multidisciplinary rounds. Future studies will confirm the sustained impact of these care transformations on hospital throughput and patient outcomes, aiming to reduce LOS and enhance the quality of care provided to patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Readmisión del Paciente / Manejo de Caso / COVID-19 / Tiempo de Internación Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: BMJ Open Qual Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Readmisión del Paciente / Manejo de Caso / COVID-19 / Tiempo de Internación Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: BMJ Open Qual Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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