Evidence map›Paper›PMID 42224222›Full record

Trial reportJAMA network open2026

Digital Self-Management of Symptoms and Quality of Life for Patients With Advanced Cancer: A Randomized Clinical Trial.

Wing-Lok Chan, Inda Sung Soong, Mei-Ying Lim, Winnie Wing-Yan Tin, Steven Wai-Kwan Siu, Jeffrey Ng, Carmen Leung, Alex Leung, Yin-Ling Tai, Ching-Mei Lam and 6 more

Registry-linked trialAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07475312 (SUPPORT+ Digital Self-Management and Clinical Support for Patients With Advanced Cancer in the Community), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07475312 naactive not recruitingnot on this map

SUPPORT+ Digital Self-Management and Clinical Support for Patients With Advanced Cancer in the Community: A Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2023 to 2026Enrolled633ConditionsPalliative Care, Advanced CancerArmsSUPPORT+ Digital Symptom Monitoring and Clinical Support
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Wing-Lok ChanDepartment of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region (SAR).
Inda Sung SoongDepartment of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR.
Mei-Ying LimDepartment of Clinical Oncology, Princess Margaret Hospital, Hong Kong SAR.
Winnie Wing-Yan TinDepartment of Clinical Oncology, Tuen Mun Hospital, Hong Kong SAR.
Steven Wai-Kwan SiuDepartment of Clinical Oncology, Queen Mary Hospital, Hong Kong SAR.
Jeffrey NgDepartment of Medicine and Geriatrics, Haven of Hope Hospital, Hong Kong SAR.
Carmen LeungDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR.
Alex LeungDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR.
Yin-Ling TaiDepartment of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region (SAR).
Ching-Mei LamDepartment of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region (SAR).
Li-Yu HouDepartment of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region (SAR).
Raymond LoDepartment of Medicine, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR.
Victor Ho-Fun LeeDepartment of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region (SAR).
Kwok-Keung YuenDepartment of Clinical Oncology, Queen Mary Hospital, Hong Kong SAR.
Dora KwongDepartment of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region (SAR).
Rina HuiCentre of Cancer Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Patients with advanced cancer experience substantial symptom burden that impairs health-related quality of life (HRQOL) and contributes to emergency department (ED) visits and hospitalizations. Evidence for application (app)-facilitated palliative care interventions remains limited. Objective: To evaluate whether an app-facilitated palliative care intervention integrating digital symptom monitoring with nurse-led clinical follow-up can improve outcomes among patients with advanced cancer. Design, Setting, and Participants: This multicenter randomized clinical trial was conducted at 6 palliative care clinics in Hong Kong from January 25, 2023, to February 5, 2025. Community-dwelling adults with advanced solid cancer who were no longer receiving systemic anticancer treatment were randomized 1:1 to digital symptom monitoring plus usual care or usual care alone and followed up for 18 weeks. Intervention: Digital symptom monitoring combined weekly symptom reporting using the Integrated Palliative Care Outcome Scale, automated self-management guidance, and nurse-led follow-up for severe symptom alerts. Main Outcomes and Measures: The primary outcome was change in HRQOL as measured by EuroQol 5-dimension 5-level (EQ-5D-5L) assessment. Secondary outcomes included self-efficacy (6-item Self-Efficacy for Managing Chronic Disease Scale), Eastern Cooperative Oncology Group performance status (ECOG PS), ED visits, and hospitalizations. Results: Among 1214 randomized participants (590 to digital symptom monitoring and 624 to usual care; median age, 78 [range, 31-103] years; 617 [50.8%] male), including 821 caregivers (67.6%) as application users, HRQOL was better maintained with digital symptom monitoring at week 18. Mean changes from baseline favored the intervention compared with usual care for EQ-5D-5L utility (0.49 to 0.52 vs 0.50 to 0.38; mean difference in change, -0.15 [95% CI, -0.21 to -0.10]; P < .001) and EQ-5D visual analogue scale (63.16 to 65.72 vs 63.87 to 59.69; mean difference, -6.09 [95% CI, -8.67 to -3.51] points; P < .001). Self-efficacy was better maintained with the digital symptom monitoring intervention (5.29 to 5.34 vs 5.43 to 4.87; mean difference, -0.53 [95% CI, -0.78 to -0.27]; P < .001). Deterioration in ECOG PS (44 of 367 [12.0%] vs 66 of 379 [17.4%]; odds ratio [OR], 1.22 [95% CI, 0.83-1.79]; P = .31) and ED utilization (74 of 367 [20.2%] vs 97 of 379 [25.6%]; OR, 1.27 [95% CI, 0.97-1.67]; P = .09) were similar between groups. Hospitalization outcomes favored digital symptom monitoring, including fewer participants with worsening unplanned hospitalization episodes (63 of 367 [17.2%] vs 108 of 379 [28.5%]; OR, 1.59 [95% CI, 1.21-2.10]; P = .001) and fewer inpatient days during follow-up (mean [SD], 3.4 [8.9] vs 7.3 [15.5]). Conclusions and Relevance: In this randomized clinical trial of patients with advanced cancer, an app-facilitated palliative care intervention helped maintain HRQOL and self-efficacy and reduced acute care use compared with usual care. Trial Registration: ClinicalTrials.gov Identifier: NCT07475312.

Indexed as

NeoplasmsPalliative CareQuality of LifeSelf-ManagementAdultAgedDigital HealthFemaleHong KongHumansMaleMiddle AgedRemote Patient MonitoringSymptom Burden

Identifiers

PMID42224222
PMCPMC13227317

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Registered trials

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.