Evidence map›Paper›PMID 41781445›Full record

ArticleScientific reports2026

A qualitative study exploring critical care survivors' and their clinicians' shared experiences of navigating a fragmented care system.

Saira Nazeer, Georgia Mathieson, Zudin Puthucheary, Timothy J Stephens

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Saira NazeerAdult Critical Care Unit, Royal London Hospital, London, UK. saira.nazeer1@nhs.net.
Georgia MathiesonAdult Critical Care Unit, Royal London Hospital, London, UK.
Zudin PuthuchearyAdult Critical Care Unit, Royal London Hospital, London, UK.
Timothy J StephensAdult Critical Care Unit, Royal London Hospital, London, UK.

Funding

Barts Charity G-002208
6 · The paper itself

Abstract

Recovery following a critical illness is challenging. Follow-up clinic provision is standard of care, but the effectiveness of services remain unclear, with some data demonstrating limited or potential detrimental effects. While the patients' perspective has been described previously, no studies combine with clinician experience. We explored this combined experience to understand modifiable factors in effective delivery of critical care follow-up services. We conducted a single-centre qualitative interview study in a large UK adult critical care service as part of an evaluation of a pilot follow-up service. Semi-structured interviews with sixteen patients and seven clinicians were analysed using reflexive thematic analysis. Patients experienced uncertainty, fragmented care, and psychological distress as immediate, ongoing challenges marked by a lack of guidance and support. Clinicians described the same broad issues but perceived them somewhat differently, as reflecting the inherent unpredictability of recovery, and caused by delayed presentation of needs, and the constraints imposed by complex care systems. By combining patient and clinician perspectives, our study identifies mismatches in expectations, timing of support, and perceived responsibility. Our data highlight the need for systemic improvements in follow-up care and the importance of integrated social and healthcare services to ensure that patients receive timely and comprehensive support.

Indexed as

Critical CareCritical IllnessSurvivorsAdultAgedFemaleHumansMaleMiddle AgedQualitative ResearchUnited KingdomClinical decision makingCritical care recoveryIntegrated health and social care

Identifiers

PMID41781445
PMCPMC13076627

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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.