Organization of rehabilitation care in Portuguese intensive care units

Rev Bras Ter Intensiva. 2018 Mar;30(1):57-63. doi: 10.5935/0103-507x.20180011.
[Article in English, Portuguese]

Abstract

Objective: To describe the different rehabilitation care models in practice in Portuguese adult intensive care units.

Methods: A simple observational (cross-sectional) study was conducted through an online survey sent to the head nurses or individuals responsible for the 58 adult intensive care units that are part of the database of the Sociedade Portuguesa de Cuidados Intensivos.

Results: We identified three models of organization of rehabilitation care: care provided by the staff of the intensive care unit (22.9%), care provided by specialized external teams (25.0%), and a mixture of the previous models, combining the two situations (52.1%). In the first model, the care was provided mainly by nurses with specialization in rehabilitation and, in the second model, the care was provided by physiotherapists. No significant differences were found between the models regarding the availability of care, in hours/day or days/week (p = 0.268 and 0.994, respectively), or results such as length of hospital stay in intensive care, ventilation time, or mortality rate in the unit (p = 0.418, 0.923, and 0.240, respectively).

Conclusion: The organization of rehabilitation care in Portuguese intensive care units is unique and heterogeneous. Despite different care organization models, the availability of hours of care is similar, as are the overall results observed in patients.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Critical Care / methods
  • Critical Care / organization & administration*
  • Cross-Sectional Studies
  • Health Care Surveys
  • Hospital Mortality
  • Humans
  • Intensive Care Units / organization & administration*
  • Length of Stay
  • Models, Organizational*
  • Patient Care Team / organization & administration
  • Portugal
  • Rehabilitation / methods
  • Rehabilitation / organization & administration*
  • Respiration, Artificial / statistics & numerical data