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Randomized trial of a telehealth post-discharge supportive care intervention for hospitalized patients with advanced cancer.

2025· article· en· W4414893303 on OpenAlexaboutno aff
Daniel E. Lage, Kathryn Post, Evanna Jin, Max G. Hernand, Carlisle E. W. Topping, Annemarie D. Jagielo, Kara Olivier, Elizabeth Krueger, Laurie S. Miller, Caroline Kuhlman, Erika Meneely, Dana Haggett, A. Franceschelli, Nora Horick, Ryan David Nipp, Lara Traeger, Areej El‐Jawahri, Joseph A. Greer, Jennifer S. Temel

Bibliographic record

VenueJCO Oncology Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
FundersConquer Cancer Foundation
KeywordsTelehealthRandomized controlled trialPsychological interventionDistressIntervention (counseling)Health carePatient satisfactionTelemedicine

Abstract

fetched live from OpenAlex

355 Background: Hospitalized patients with advanced cancer face a challenging post-discharge care transition due to their high symptom burden. Post-discharge interventions are needed to address the unique needs of this population. Methods: We conducted a randomized controlled trial of CONTINUUM (Continuity of Care Under Management by video visits), a post-discharge telehealth intervention for patients with advanced solid tumors. The primary aim was to assess the effect of CONTINUUM on the Patient Activation Measure-13 (PAM-13), a measure of patients’ confidence in managing their health condition, which is associated with decreased health care utilization. From 12/2021-01/2025, we approached English-speaking patients with advanced solid tumors during their first unplanned hospitalization since advanced cancer diagnosis who were preparing for discharge to home without hospice. Enrolled patients were randomized 1:1 to CONTINUUM or usual care. Those assigned to CONTINUUM received a telehealth visit with an oncology nurse practitioner within 3 business days of hospital discharge to address symptoms, in addition to usual scheduled oncology appointments. Patients in the control group attended their usual appointments. Participants completed questionnaires at baseline and 10-20 days post-discharge. Secondary outcomes included physical symptoms (Edmonton Symptom Assessment System-physical [ESAS-p]), psychological distress (Patient Health Questionnaire-4[PHQ-4]), satisfaction with communication (Consumer Assessment of Healthcare Providers and Systems Communication Subscale [CAHPS]), and 30-day hospital readmissions. We used analysis of covariance to assess the between-group differences in post-discharge outcomes, adjusting for baseline scores, and Fisher’s exact test to compare the proportion with hospital readmission. Results: Of 286 enrolled patients (mean age: 64.5 years; 50.0% female; 85.3% White; 46.2% gastrointestinal cancers), the most common reason for admission was symptom management (62.5%). Patient activation declined between time points in both groups, but post-discharge PAM-13 scores did not differ between intervention and control group (adjusted mean: 62.5 vs. 65.3, respectively, p = 0.162). Physical and psychological symptoms did not differ between groups (ESAS-p adjusted mean: 26.6 vs. 25.1, P = 0.368; PHQ-4 adjusted mean: 2.7 vs. 2.3, p = 0.245). CAHPS scores were similar between groups (unadjusted mean: 18.9 vs. 18.8, p = 0.839). We found no significant difference in the 30-day hospital readmission rates (27.7% vs. 29.2%, p = 0.794). Conclusions: CONTINUUM did not improve patient-reported outcomes or hospital readmission rates in recently hospitalized patients with advanced cancer. Future studies should explore targeted home-based and longitudinal interventions to enhance post-discharge care for this patient population. Clinical trial information: NCT05142345 .

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.384
Teacher spread0.374 · 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 designRandomized trial
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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Citations1
Published2025
Admission routes1
Has abstractyes

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