Evidence map›Paper›PMID 41053862›Full record

SynthesisCritical care (London, England)2025

Post-intensive care unit clinics: models and implementation - a systematic review.

Sourav Chatterjee, Swagata Tripathy, Subhasish Nayak, Reena Chakravarty, Parnandi Bhaskar Rao

Abstract readSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sourav ChatterjeeDepartment of Anaesthesiology and Critical Care, AIIMS, Bhubaneswar, India.
Swagata TripathyDepartment of Anaesthesiology and Critical Care, AIIMS, Bhubaneswar, India. tripathyswagata@gmail.com.
Subhasish NayakDepartment of Anaesthesiology and Critical Care, AIIMS, Bhubaneswar, India.
Reena ChakravartyDepartment of Anaesthesiology and Critical Care, AIIMS, Bhubaneswar, India.
Parnandi Bhaskar RaoDepartment of Anaesthesiology and Critical Care, AIIMS, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in critical care have shifted the focus from survival alone to addressing Post-Intensive Care Syndrome (PICS), which includes persistent physical, cognitive, and psychological challenges after discharge from the intensive care unit (ICU). While post-ICU clinics have been established in high-income countries (HICs), their adoption in low- and middle-income countries (LMICs) remains limited, with structured follow-up care still under development.

objectiveTo systematically review models of post-ICU clinics, examine barriers and facilitators to their implementation, and explore their potential applicability in LMICs.

methodsThis review was prospectively registered with PROSPERO (CRD42024536147) and conducted according to PRISMA guidelines. A comprehensive search of Medline, Embase, and CINAHL was completed on April 24, 2024. Studies published after 2000 describing adult post-ICU clinic models addressing PICS were included. Nineteen studies-comprising randomized controlled trials, observational studies, and quasi-experimental designs-met inclusion criteria. Risk of bias was assessed using the Joanna Briggs Institute checklists. Thematic synthesis was guided by the Consolidated Framework for Implementation Research (CFIR).

resultsThree primary models emerged: (1) hospital-based physical interviews (2), hybrid models incorporating both in-person and telehealth consultations, and (3) fully remote models using telehealth or home visits. Telehealth/home-visit models reported the highest mean attendance (88.7%), followed by hybrid (59%) and physical interview models (51.9%). Common barriers included resource constraints, transportation difficulties, limited awareness, inadequate insurance coverage, and poor interdisciplinary coordination. Facilitators included flexible scheduling, early stakeholder engagement, multidisciplinary team involvement, and use of telehealth technologies. While hybrid models appeared promising for LMICs due to their balance of accessibility and comprehensiveness, the evidence for clinical outcome benefit remains inconclusive, and questions about cost-effectiveness and sustainability persist.

conclusionHybrid post-ICU clinic models may offer a feasible pathway for improving follow-up care in LMICs, especially when tailored to local constraints. However, their implementation must consider significant barriers, particularly related to funding and infrastructure, and be guided by emerging but still limited evidence on long-term patient outcomes. These findings aim to inform cautious, context-specific development of post-ICU care strategies in resource-limited settings.

Indexed as

Critical IllnessHumansIntensive Care UnitsBarriersClinic modelsCritical careFacilitatorsPost-intensive care syndrome

Identifiers

PMID41053862
PMCPMC12502439

What OpenQuestion holds

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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.