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Palliative Video Consultation and Symptom Distress Among Rural Inpatients

2025· article· en· W4412121607 on OpenAlexaboutno aff
Marie Bakitas, Shena Gazaway, Felicia Underwood, Christiana Ekelem, Vantrice T. Heard, Richard Kennedy, Andrés Azuero, Rodney Tucker, Susan McCammon, Joshua Hauser, Lucas McElwain, Ronit Elk

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
FundersNational Institute of Nursing Research
KeywordsMedicinePalliative carePsychological interventionDistressRandomized controlled trialEmergency departmentFamily medicineQuality of life (healthcare)Intervention (counseling)NursingClinical psychology

Abstract

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Importance: Palliative care has been shown to improve important patient outcomes but is rarely available in small or rural hospitals. Objective: To assess whether culturally based palliative care video consultation could improve symptom distress compared with usual inpatient care without palliative care. Design, Setting, and Participants: Recruitment for this multisite, single-blind randomized clinical trial occurred from July 20, 2020, to December 20, 2023; data collection was completed on January 15, 2024. A community-aided approach was used to recruit inpatients from 3 rural hospitals lacking palliative care services in Alabama, Mississippi, and South Carolina. Self-identified non-Hispanic Black or African American and non-Hispanic White adults aged 55 years or older admitted with a serious chronic illness and a willing caregiver were invited to participate. Randomization was stratified by site and race. Interventions: Participants were randomized 1:1 to Community Tele-Pal, culturally based video consultation by a palliative care specialist followed by research coordinator (RC) contacts 3 and 6 days after video consultation (intervention arm), or to routine hospital care (control arm). Main Outcomes and Measures: The primary outcome was the between-group difference in the change in patient-reported symptom distress from baseline to day 7, assessed by the Edmonton Symptom Assessment Scale (ESAS; range, 0-90; lower scores indicate lower symptom distress). Secondary outcomes were quality of life (QOL; Patient-Reported Outcomes Measurement Information System global physical and mental health mean T scores), resource use (emergency department visits and hospital readmissions), and an exploratory outcome of feeling heard and understood. Results: A total of 209 patients were randomized (104 to usual care; 105 to the intervention); mean (SD) age was 73.3 (8.3) years, 120 (57.4%) were female, 58 (27.8%) were Black or African American, 157 (75.1%) were retired, and 75 (35.9%) had a Palliative Performance Scale score less than 70% (indicating need for functional assistance). On day 7, the mean (SE) ESAS score change from baseline was -11.4 (1.5) points in the intervention group and -7.3 (1.5) points in the control group; the between-group difference in change in ESAS scores was not statistically significant (Westfall d, -0.28; 95% CI, -0.56 to 0.01; P = .055). The mean (SE) day 7 between-group difference in ESAS score of -4.0 (1.8) points met the criteria for a minimal clinically important difference of 3 to 4 points. No between-group differences were observed for QOL, resource use, or feeling heard and understood. Conclusions and Relevance: In this randomized clinical trial, the intervention was not associated with reduced symptom distress at day 7 vs baseline or with improved QOL or reduced resource use compared with usual care. However, the between-group difference in the ESAS score met the criteria for a minimal clinically important difference of 3 to 4 points. Palliative video consultation to reduce health care inequities for hospitalized rural-dwelling individuals may warrant further investigation. Trial Registration: ClinicalTrials.gov Identifier: NCT03767517.

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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.048
GPT teacher head0.398
Teacher spread0.351 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations4
Published2025
Admission routes1
Has abstractyes

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