ArticleBMC cancer2019
Developing a real-time electronic symptom monitoring system for patients after discharge following cancer-related surgery.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 75 citations in OpenAlex.
- Electronic patient-reported outcome systems and capabilities in cancer care: a systematic review.Frontiers in digital health · 2025Pooled it
- Advancing patient-centered cancer care: a systematic review of electronic patient-reported outcome measures.Frontiers in rehabilitation sciences · 2024Pooled it
- Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis.The Lancet. Digital health · 2023Pooled it
- Quality of life during electronic patient-reported outcome (ePRO) monitoring in thoracic surgery patients: a pilot randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Trial
- Enhancing Quadruple Health Outcomes After Thoracic Surgery: Feasibility Pilot Randomized Controlled Trial Using Digital Home Monitoring.JMIR perioperative medicine · 2025Trial
- Effect of digital tools to promote hospital quality and safety on adverse events after discharge.Journal of the American Medical Informatics Association : JAMIA · 2024Trial
- Patterns and Consequences of Care Fragmentation in Post-Surgical Management of Upper Gastrointestinal and Hepatopancreatobiliary Cancers.Annals of surgical oncology · 2026Article
- Evaluation of an AI-assisted digital health follow-up system integrating humanistic care for patients undergoing chemotherapy: a prospective quasi-experimental study.Frontiers in public health · 2026Article
- Article
- Using Machine Learning Approaches on Dynamic Patient-Reported Outcomes to Cluster Cancer Treatment-Related Symptoms.Current oncology (Toronto, Ont.) · 2025Article
- A Qualitative Study of Electronic Patient-Reported Outcome Symptom Monitoring After Thoracic Surgery.The Journal of surgical research · 2024Article
- Development and Feasibility Evaluation of Smart Cancer Care 2.0 Based on Patient-Reported Outcomes for Post-Discharge Management of Patients with Cancer.Cancer research and treatment · 2024Article
- Remote Symptom Monitoring with Clinical Alerts Following Mastectomy: Do Early Symptoms Predict 30-Day Surgical Complications.Annals of surgical oncology · 2024Article
- Feasibility and acceptability of C-PRIME: A health promotion intervention for family caregivers of patients with colorectal cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Exploring the Incorporation of a Novel Cardiotoxicity Mobile Health App Into Care of Patients With Cancer: Qualitative Study of Patient and Provider Perspectives.JMIR cancer · 2023Article
- A Content Framework of a Novel Patient-Reported Outcome Measure for Detecting Early Adverse Events After Major Abdominal Surgery.World journal of surgery · 2023Article
- Development and usability testing of an electronic patient-reported outcome (ePRO) solution for patients with inflammatory diseases in an Advanced Therapy Medicinal Product (ATMP) basket trial.Journal of patient-reported outcomes · 2023Article
- Impact of an Electronic Medical Record-Connected Questionnaire on Efficient Nursing Documentation: Usability and Efficacy Study.JMIR nursing · 2023Article
- Development and pilot study of "Smart Cancer Care": a platform for managing side effects of chemotherapy.BMC health services research · 2023Review
- Managing Critical Patient-Reported Outcome Measures in Oncology Settings: System Development and Retrospective Study.JMIR medical informatics · 2022Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundPatients undergoing major cancer surgery frequently require post-acute care for complications and adverse effects. Enhanced recovery after surgery programmes mean that patients are increasingly discharged home earlier. Symptom/complication detection post-discharge is sub-optimal. Systematic patient monitoring post-discharge following surgery may be optimally achieved through routine electronic patient-reported outcome (ePRO) data capture. ePRO systems that employ clinical algorithms to guide management of patients and automatically alert clinicians of clinically-concerning symptoms can improve patient outcomes and decrease hospital admissions. ePRO systems that provide individually-tailored self-management advice and integrate live ePRO data into electronic health records (EHR) may also advance personalised health and patient-centred care. This study aims to develop a hospital EHR-integrated ePRO system to improve detection and management of complications post-discharge following cancer-related surgery.
methodsThe ePRO system was developed in two phases: (1) Development of a web-based ePRO symptom-report from validated European Organisation for Research and Treatment of Cancer (EORTC) questionnaires, clinical opinion and patient interviews, followed by hospital EHR integration; (2) Development of clinical algorithms triggering symptom severity-dependent patient advice and clinician alerts from: (i) prospectively-collected patient-completed ePRO symptom-report data; (ii) stakeholder meetings; (iii) patient interviews. Patient advice was developed from: (i) clinician-patient telephone consultations and patient interviews; (ii) review of hospital patient information leaflets (PIL) and patient support websites.
resultsPhase 1, including interviews with 18 patients, identified 35 symptom-report items. In phase 2, 130/300 (43%) screened patients were eligible. 61 (47%) consented to participate and 59 (97%) provided 444 complete self-reports. Stakeholder meetings (9 clinicians, 1 patient/public representative) and patient interviews (n = 66) refined advice/alert accuracy. 15 telephone consultations, 7 patient interviews and review of 28 PILs and 3 patient support websites identified 4 themes to inform self-management advice. Comparisons between ePRO symptom-report data, telephone consultations and clinical events/outcomes (n = 27 patients) further refined clinical algorithms.
conclusionsA hospital EHR-integrated ePRO system that alerts clinicians and provides patient self-management advice has been developed to improve the detection and management of problems and complications after discharge following surgery. An ongoing pilot study will inform a multicentre randomised trial to evaluate the effectiveness of the ePRO system compared to usual care.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.