Evidence map›Paper›PMID 39334262›Full record

SynthesisCritical care (London, England)2024

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

Daniel Jie Lai, Zhao Liu, Elaine Johnston, Lisa Dikomitis, Teresa D'Oliveira, Sukhi Shergill

Abstract readSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Daniel Jie LaiCanterbury Christ Church University, Canterbury, UK.
Zhao LiuSchool of Computing, University of Kent, Canterbury, UK.
Elaine JohnstonMaidstone and Tunbridge Wells NHS Trust, Kent, UK.
Lisa DikomitisKent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, UK.
Teresa D'Oliveira *Canterbury Christ Church University, Canterbury, UK.
Sukhi Shergill *Kent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, UK. sukhi.shergill@kcl.ac.uk.

Funding

National Institute of Health and Care Research, Applied Research Collaboration Kent, Surrey, and Sussex NIHR-INF-2685
6 · The paper itself

Abstract

backgroundIt remains unclear how to optimise critical care rehabilitation to reduce the constellation of long-term physical, psychological and cognitive impairments known as Post Intensive Care Syndrome (PICS). Possible reasons for poor recovery include access to care and delayed treatment. eHealth could potentially aid in increasing access and providing consistent care remotely. Our review aimed to evaluate the effectiveness of eHealth interventions on PICS outcomes.

methodsStudies reporting eHealth interventions targeting Post Intensive Care Syndrome outcomes, published in Medline, CINAHL, PsycINFO, Embase, and Scopus from 30th January 2010 to 12th February 2024, were included in the review. Study eligibility was assessed by two reviewers with any disagreements discussed between them or resolved by a third reviewer. Study quality and risk of bias were assessed using the Mixed Method Appraisal Tool. Further to the identification of effective strategies, our review also aimed to clarify the timeline of recovery considered and the outcomes or domains targeted by the interventions.

resultsThirteen studies were included in our review. Study duration, eHealth intervention delivery format, and outcome measures varied considerably. No studies reported a theory of behavioural change and only one study was co-produced with patients or carers. Most studies were conducted in the early post-discharge phase (i.e., < 3 months) and had feasibility as a primary outcome. The cognitive domain was the least targeted and no intervention targeted all three domains. Interventions targeting the psychological domain suggest generally positive effects. However, results were underpowered and preliminary. Though all studies were concluded to be feasible, most studies did not assess acceptability. In studies that did assess acceptability, the main facilitators of acceptability were usability and perceived usefulness, and the main barrier was sensitivity to mental health and cognitive issues.

conclusionOur 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. Future research should focus on demonstrating effectiveness, acceptability, the cognitive domain, and multi-component interventions.

Indexed as

TelemedicineCritical CareCritical IllnessHumansIntensive Care UnitsCritical careCritical care rehabilitationCritical IllnessDigital health technologiesEHealthPost-intensive care syndrome

Identifiers

PMID39334262
PMCPMC11428403

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.