ICU sedation, delirium & recovery

Exploring the effectiveness of eHealth interventions in treating Post Intensive Care Syndrome (PICS) outcomes: a systematic review

Crit CarePublished Systematic review

Authors' conclusion

Our systematic review highlighted the promising contributions of eHealth with preliminary support for the feasibility of interventions in the early stages of post-critical care rehabilitation.

Study context

Population
Patients with PICS outcomes after critical care13 studies
Comparison
eHealth interventions targeting PICS outcomes
Outcome
Effectiveness of eHealth interventions on PICS outcomes
Methodological detailsMixed Method Appraisal Tool quality assessment, Medline, CINAHL, PsycINFO, Embase, Scopus searched 30th January 2010 to 12th February 2024
  • Mixed Method Appraisal Tool quality assessment
  • Medline, CINAHL, PsycINFO, Embase, Scopus searched 30th January 2010 to 12th February 2024

Pooled result

As reported in the abstract

  • Psychological-domain interventions suggest generally positive effects; results underpowered and preliminary
  • Cognitive domain least targeted; no intervention targeted all three domains
  • Study duration, delivery format and outcome measures varied considerably

Further pooled results

Feasibility and acceptability

All studies concluded feasible; most did not assess acceptability
Acceptability facilitators: usability, perceived usefulness; main barrier: sensitivity to mental health and cognitive issues

Study characteristics

No studies reported a theory of behavioural change; one study co-produced with patients or carers
1
Most studies in early post-discharge phase (< 3 months) with feasibility as primary outcome

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Original publication

Exploring the effectiveness of eHealth interventions in treating Post Intensive Care Syndrome (PICS) outcomes: a systematic review. Crit Care. Published 27 September 2024. doi:10.1186/s13054-024-05089-6

Composed by AI from the published abstract and checked against it. How Briefs are made →

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