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Resilience in Survivors of Critical Illness in the Context of the Survivors’ Experience and Recovery

2016· article· en· W2345746030 on OpenAlexaff
Jason H. Maley, Isabel Brewster, Iris Mayoral, Renata Siruckova, Sarah F. Adams, Kelley A. McGraw, Angela Piech, Michael E. Detsky, Mark E. Mikkelsen

Bibliographic record

VenueAnnals of the American Thoracic Society · 2016
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsUniversity of TorontoUniversity Health NetworkMount Sinai Hospital
FundersNational Institutes of HealthNational Institute of Nursing ResearchNational Heart, Lung, and Blood InstituteUniversity of Pennsylvania
KeywordsMedicineContext (archaeology)AnxietyQuality of life (healthcare)Depression (economics)Psychological resilienceIntensive careClinical psychologyPsychiatryGerontologyPsychologyIntensive care medicineNursing

Abstract

fetched live from OpenAlex

RATIONALE: Post-intensive care syndrome (PICS), defined as new or worsening impairment in cognition, mental health, or physical function after critical illness, is an important development in survivors. Although studies to date have focused on the frequency of these impairments, fundamental questions remain unanswered regarding the survivor experience and the impact of the critical illness event on survivor resilience and recovery. OBJECTIVES: To examine the association between resilience and neuropsychological and physical function and to contextualize these findings within the survivors' recovery experience. METHODS: We conducted a mixed-methods pilot investigation of resilience among 43 survivors from two medical intensive care units (ICUs) within an academic health-care system. We interviewed survivors to identify barriers to and facilitators of recovery in the ICU, on the medical ward, and at home, using qualitative methods. We used a telephone battery of standardized tests to examine resilience, neuropsychological and physical function, and quality of life. We examined PICS in two ways. First, we identified how frequently survivors were impaired in one or more domains 6-12 months postdischarge. Second, we identified how frequently survivors reported that neuropsychological or physical function was worse. MEASUREMENTS AND MAIN RESULTS: Resilience was low in 28% of survivors, normal in 63% of survivors, and high in 9% of survivors. Resilience was inversely correlated with self-reported executive dysfunction, symptoms of anxiety, depression, and post-traumatic stress disorder, difficulty with self-care, and pain (P < 0.05). PICS was present in 36 survivors (83.7%; 95% confidence interval, 69.3-93.2%), whereas 23 survivors (53.5%; 95% confidence interval, 37.6-68.8%) reported worsening of neuropsychological or physical function after critical illness. We identified challenges along the recovery path of ICU survivors, finding that physical limitations and functional dependence were the most frequent challenges experienced in the ICU, medical ward, and on return to home. Spiritual and family support facilitated recovery. CONCLUSIONS: Resilience was inversely correlated with neuropsychological impairment, pain, and difficulty with self-care. PICS was present in most survivors of critical illness, and 54% reported neuropsychological or physical function to be worse, yet resilience was normal or high in most survivors. Survivors experienced many challenges during recovery, while spiritual and family support facilitated recovery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0010.002
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.386
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations167
Published2016
Admission routes1
Has abstractyes

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