Intensive care unit length of stay is reduced by protocolized family support intervention: a systematic review and meta-analysis

Intensive Care Med. 2019 Aug;45(8):1072-1081. doi: 10.1007/s00134-019-05681-3. Epub 2019 Jul 3.

Abstract

Purpose: This study aimed to elucidate the impact of protocolized family support intervention on length of stay (LOS) in the intensive care unit (ICU) through a systematic review and meta-analysis.

Methods: Medline, EMBASE, the Cochrane Central Register of Controlled Trials, and other web-based databases were referenced since inception until November 26, 2018. We included randomized-controlled trials wherein protocolized family support interventions were conducted for enhanced communication and shared medical decision-making. LOS (in days) and mortality were evaluated using a random-effects model, and adjusted LOS was estimated using a mixed-effects model.

Results: We included seven randomized-controlled trials with 3477 patients. Protocolized family support interventions were found to significantly reduce the ICU LOS {mean difference = - 0.89 [95% confidence interval (CI) = - 1.50 to - 0.27]} and hospital LOS [mean difference = - 3.78 (95% CI = - 5.26 to - 2.29)]; the results of the mixed-effect model showed that they significantly reduced ICU LOS after adjusting for the therapeutic goal [mean difference = - 1.30 (95% CI = - 2.35 to - 0.26)], methods of measurement [mean difference = - 0.89 (95% CI = - 1.55 to - 0.22)], and timing of intervention [mean difference = - 1.05 (95% CI = - 2.05 to - 0.05)]. Similar results were found after adjusting for patients' disease severity [mean difference = - 1.21 (95% CI = - 2.03 to - 0.39)] and the trim-and-fill method [mean difference = - 0.86 (95% CI = - 1.44 to - 0.28)]. There was no difference in mortality rate in ICU and hospital between the protocolized intervention and control groups.

Conclusions: Protocolized family support intervention for enhanced communication and shared decision-making with the family reduced ICU LOS in critically ill patients without impacting mortality.

Keywords: Critical care; Decision support techniques; Decision-making; Intensive care units; Professional-family relations.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Clinical Protocols / standards*
  • Family / psychology*
  • Humans
  • Intensive Care Units / organization & administration
  • Intensive Care Units / trends*
  • Length of Stay / trends*
  • Randomized Controlled Trials as Topic / statistics & numerical data
  • Social Support*