Literature DB >> 31270579

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

Hyun Woo Lee1, Yeonkyung Park2, Eun Jin Jang3, Yeon Joo Lee4.   

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.

Entities:  

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

Mesh:

Year:  2019        PMID: 31270579     DOI: 10.1007/s00134-019-05681-3

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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