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U.K. Intensivists' Preferences for Patient Admission to ICU: Evidence From a Choice Experiment.
Bassford, Christopher R; Krucien, Nicolas; Ryan, Mandy; Griffiths, Frances E; Svantesson, Mia; Fritz, Zoe; Perkins, Gavin D; Quinton, Sarah; Slowther, Anne-Marie.
Afiliación
  • Bassford CR; Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Krucien N; University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.
  • Ryan M; Health Economics Research Unit, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom.
  • Griffiths FE; Health Economics Research Unit, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom.
  • Svantesson M; Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Fritz Z; University Health Care Research Center, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
  • Perkins GD; Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Quinton S; The Healthcare Improvement Studies (THIS) Institute, Cambridge University, Cambridge, United Kingdom.
  • Slowther AM; Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Crit Care Med ; 47(11): 1522-1530, 2019 11.
Article en En | MEDLINE | ID: mdl-31385883
ABSTRACT

OBJECTIVES:

Deciding whether to admit a patient to the ICU requires considering several clinical and nonclinical factors. Studies have investigated factors associated with the decision but have not explored the relative importance of different factors, nor the interaction between factors on decision-making. We examined how ICU consultants prioritize specific factors when deciding whether to admit a patient to ICU.

DESIGN:

Informed by a literature review and data from observation and interviews with ICU clinicians, we designed a choice experiment. Senior intensive care doctors (consultants) were presented with pairs of patient profiles and asked to prioritize one of the patients in each task for admission to ICU. A multinomial logit and a latent class logit model was used for the data analyses.

SETTING:

Online survey across U.K. intensive care.

SUBJECTS:

Intensive care consultants working in NHS hospitals. MEASUREMENTS AND MAIN

RESULTS:

Of the factors investigated, patient's age had the largest impact at admission followed by the views of their family, and severity of their main comorbidity. Physiologic measures indicating severity of illness had less impact than the gestalt assessment by the ICU registrar. We identified four distinct decision-making patterns, defined by the relative importance given to different factors.

CONCLUSIONS:

ICU consultants vary in the importance they give to different factors in deciding who to prioritize for ICU admission. Transparency regarding which factors have been considered in the decision-making process could reduce variability and potential inequity for patients.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Admisión del Paciente / Actitud del Personal de Salud / Triaje / Toma de Decisiones Clínicas / Unidades de Cuidados Intensivos / Cuerpo Médico de Hospitales Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Crit Care Med Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Admisión del Paciente / Actitud del Personal de Salud / Triaje / Toma de Decisiones Clínicas / Unidades de Cuidados Intensivos / Cuerpo Médico de Hospitales Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Crit Care Med Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido