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Hospital-Based Physicians' Intubation Decisions and Associated Mental Models when Managing a Critically and Terminally Ill Older Patient.
Haliko, Shannon; Downs, Julie; Mohan, Deepika; Arnold, Robert; Barnato, Amber E.
Afiliação
  • Haliko S; Department of Critical Care Medicine, Hoag Hospital, Newport Beach, CA, USA.
  • Downs J; Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Mohan D; Department of Critical Care Medicine and Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
  • Arnold R; Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Barnato AE; Dartmouth Institute, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Med Decis Making ; 38(3): 344-354, 2018 04.
Article em En | MEDLINE | ID: mdl-29166565
ABSTRACT

BACKGROUND:

Variation in the intensity of acute care treatment at the end of life is influenced more strongly by hospital and provider characteristics than patient preferences.

OBJECTIVE:

We sought to describe physicians' mental models (i.e., thought processes) when encountering a simulated critically and terminally ill older patient, and to compare those models based on whether their treatment plan was patient preference-concordant or preference-discordant.

METHODS:

Seventy-three hospital-based physicians from 3 academic medical centers engaged in a simulated patient encounter and completed a mental model interview while watching the video recording of their encounter. We used an "expert" model to code the interviews. We then used Kruskal-Wallis tests to compare the weighted mental model themes of physicians who provided preference-concordant treatment with those who provided preference-discordant treatment.

RESULTS:

Sixty-six (90%) physicians provided preference-concordant treatment and 7 (10%) provided preference-discordant treatment (i.e., they intubated the patient). Physicians who intubated the patient were more likely to emphasize the reversible and emergent nature of the patient situation (z = -2.111, P = 0.035), their own comfort (z = -2.764, P = 0.006), and rarely focused on explicit patient preferences (z = 2.380, P = 0.017).

LIMITATIONS:

Post-decisional interviewing with audio/video prompting may induce hindsight bias. The expert model has not yet been validated and may not be exhaustive. The small sample size limits generalizability and power.

CONCLUSIONS:

Hospital-based physicians providing preference-discordant used a different mental model for decision making for a critically and terminally ill simulated case. These differences may offer targets for future interventions to promote preference-concordant care for seriously ill patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Assistência Terminal / Padrões de Prática Médica / Atitude do Pessoal de Saúde / Cuidados Críticos / Tomada de Decisão Clínica Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Assistência Terminal / Padrões de Prática Médica / Atitude do Pessoal de Saúde / Cuidados Críticos / Tomada de Decisão Clínica Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article