Rehabilitation and Social Determinants of Health in Critical Illness Recovery Literature: A Systematic Review
Bibliographic record
Abstract
OBJECTIVES: Patients who survive critical illness navigate arduous and disparate recovery pathways that include referrals and participation in community-based rehabilitation services. Examining rehabilitation pathways during recovery is crucial to understanding the relationship on patient-centered outcomes. Furthermore, an understanding of social determinants of health (SDOH) in relation to outcomes and rehabilitation use will help ensure equitable access for future care. Therefore, there is a need to define and understand patient care pathways, specifically rehabilitation after discharge, through a SDOH lens after surviving a critical illness to improve long-term outcomes. DATA SOURCES: MEDLINE, PubMed, Web of Science Core Collection (Clarivate), the CINAHL, and the Physiotherapy Evidence Database. STUDY SELECTION AND DATA EXTRACTION: A systematic review of the literature was completed examining literature from inception to March 2024. Articles were included if post-hospital rehabilitation utilization was reported in adult patients who survived critical illness. Discharge disposition was examined as a proxy for rehabilitation pathways. Patients were grouped by patient diagnosis for grouped analysis and reporting of data. Two independent researchers reviewed manuscripts for inclusion and data were extracted by one reviewer using Covidence. Both reviewers used the Newcastle-Ottawa Scale to assess risk of bias. DATA SYNTHESIS: Of 72 articles included, only four articles reported detailed rehabilitation utilization. The majority of the studies included were cohort studies (91.7%) with most articles using a retrospective design (56.9%). The most common patient population was acute respiratory diagnoses (51.4%). Most patients were discharged directly home from the hospital (75.4%). Race/ethnicity was the most frequently reported SDOH (43.1%) followed by insurance status (13.9%) and education (13.9%). CONCLUSIONS: The small number of articles describing rehabilitative utilization allows for limited understanding of rehabilitation pathways following critical illness. The reporting of detailed rehabilitation utilization and SDOH are limited in the literature but may play a vital role in the recovery and outcomes of survivors of critical illness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.075 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".