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Record W3036727184 · doi:10.9778/cmajo.20190193

Quality of clinicians’ conversations with patients and families before and after implementation of the Serious Illness Care Program in a hospital setting: a retrospective chart review study

2020· review· en· W3036727184 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCMAJ Open · 2020
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsHamilton Health SciencesMcMaster UniversityTrillium Health Centre
Fundersnot available
KeywordsMedicineIntervention (counseling)Retrospective cohort studyQuality of life (healthcare)Emergency departmentEmergency medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

<h3>Background:</h3> Seriously ill patients in hospital have indicated that better communication with practitioners is vital for improving care. The aim of this study was to assess whether the quality of conversations about serious illness improved after implementation of the Serious Illness Care Program (SICP). <h3>Methods:</h3> In this retrospective chart review study, we evaluated patients who were admitted to a medical ward at Hamilton General Hospital, had a stay of at least 48 hours, and were at risk for a lengthy stay or increased need for community-based services (inter-RAI Emergency Department Screener score of 5 or 6). The SICP study period was from Mar. 1, 2017, to Jan. 19, 2018. We used a validated codebook to assess the quality of documented conversations regarding serious illness for eligible patients before (usual care [control group]) and after SICP implementation (intervention group), specifically examining the following domains: patients’ values and goals, understanding of prognosis and illness, end-of-life care planning, and code status or desire for other life-sustaining treatments. <h3>Results:</h3> The study sample included 56 patients in the control group and 56 patients in the intervention group. The overall quality of documented conversations about serious illness was significantly higher in the intervention group than in the control group (<i>p</i> &lt; 0.001) and was significantly higher in the subdomains of values and goals (<i>p</i> &lt; 0.001), understanding of prognosis and illness (<i>p</i> &lt; 0.001) and life-sustaining treatments (<i>p</i> = 0.03) but not end-of-life care planning (<i>p</i> = 0.48). <h3>Interpretation:</h3> Implementation of the SICP in a hospital setting was associated with higher quality of documented conversations regarding serious illness with patients at high risk for clinical or functional deterioration. The SICP is transferable and adaptable to a hospital setting, and was associated with an increase in adherence to best practices compared to usual care.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.339
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.487
Teacher spread0.408 · 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