ArticleJCO clinical cancer informatics2025
Implementation of Recovery Tracker: A Postdischarge Electronic Remote Symptom-Monitoring Survey Tool After Major Urologic Oncology Surgeries.
Article in JCO clinical cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- From framework to practice: applying the proteus-practice framework to learn lessons for integrating PROs in clinical care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
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Authors and funding
13 authors.
Funding
Abstract
purposeRemote symptom monitoring shows promise in promoting postdischarge contact between patients and clinicians. Unique strategies may be needed to tailor reach and engagement to specific patient populations. We aimed to assess implementation and effectiveness outcomes of a patient-reported symptom assessment tool (Recovery Tracker [RT]) after major urologic operations. MATERIALS AND
methodsPatients undergoing one of four procedures (2016-2022) at a metropolitan cancer center-radical prostatectomy, nephrectomy, radical cystectomy, and retroperitoneal lymph node dissection for testicular cancer-were included in the study. Electronic delivery of RT was embedded in routine perioperative patient care. Outcomes were assessed according to the reach, effectiveness, adoption, implementation, and maintenance framework. Descriptive statistics was reported for reach, effectiveness, and adoption; a linear mixed-effects model for implementation; and a general additive model and fixed-effects meta-analysis for maintenance.
resultsThe cohort comprised 8,934 patients. Reach, defined as patients correctly receiving the survey, was 98% overall, with 81% (95% CI, 80 to 82) of patients completing at least one survey and the majority completing >7. The median time to completion was <2 minutes and improved as patients completed more surveys (
conclusionImplementing a daily electronic survey after hospital discharge after major urologic surgeries is feasible and used often by patients.
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