Evidence map›Paper›PMID 42908819›Full record

ArticleFrontiers in oncology2026

Calendar-defined missed-workday gaps in radiotherapy: a site- and phase-stratified audit with linkage sensitivity analyses.

Runhong Lei, Yongping Zheng, Yi Chen, Haitao Sun, Ang Qu, Ping Jiang

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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Runhong LeiDepartment of Radiation Oncology, Peking University Third Hospital, Beijing, China.
Yongping ZhengDepartment of Radiation Oncology, Peking University Third Hospital, Beijing, China.
Yi ChenDepartment of Radiation Oncology, Peking University Third Hospital, Beijing, China.
Haitao SunDepartment of Radiation Oncology, Peking University Third Hospital, Beijing, China.
Ang QuDepartment of Radiation Oncology, Peking University Third Hospital, Beijing, China.
Ping JiangDepartment of Radiation Oncology, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Missed treatment workdays can prolong overall treatment time and may reduce tumor control, yet routine audits often conflate weekends, statutory holidays, and departmentally accepted rest schedules with untreated institutional workdays. Methods: We quantified calendar-defined missed-workday gaps-inter-fraction intervals containing ≥1 untreated institutional workday after excluding routine rest days-among patients with first treatment between June 2021 and December 2025 who were linkable between the MOSAIQ radiotherapy information system and the institutional oncology database (1,319 patients; 1,342 episodes). A locked stratified sample of 100 algorithm-positive gaps underwent documentation-based chart review as unplanned relevant (UR) or planned/appropriate (PA). We analyzed linkage sensitivity, opportunity-adjusted site rates with patient-clustered confidence intervals (CIs), opportunity-offset Poisson generalized estimating equations (GEE) including calendar year, and episode-clustered phase GEE. Results: Under the documentation-based chart-review rule, 92 of 100 algorithm-positive gaps were labeled UR (17 department/equipment; 75 patient-factor) and 8 PA. Gaps occurred in 638/1,342 episodes (47.5%; patient-level 48.0%). Linked versus unlinked prevalence was 48.2% versus 51.7% (absolute difference -3.4 percentage points, 95% CI -11.2 to 4.4; P = 0.435). Among subgroups with ≥50 episodes, head and neck had the highest prevalence (75.3%) and breast the lowest (41.3%); opportunity-adjusted rates were 5.63 (cluster-bootstrap 95% CI 4.76-6.52) versus 2.63 (2.36-2.92) per 100 opportunities. Opportunity-offset Poisson GEE with calendar year gave a head-and-neck versus breast incidence rate ratio (IRR) of 2.99 (95% CI 2.18-4.11). An exploratory phase GEE (29,763 intervals; 1,323 clusters) showed a late versus early odds ratio (OR) of 1.31 (95% CI 1.12-1.54; P = 0.0009; absolute rates 2.8% vs 3.6%); after site, year, and intent adjustment, the OR was 1.32 (95% CI 1.12-1.57). Conclusions: This operational audit of institutional workdays without recorded treatment-rather than clinically confirmed unplanned interruptions-shows frequent gaps after excluding routine rest. Most reviewed positives received patient-factor labels under a documentation rule. Calendar-aware auditing may support departmental monitoring; priority-based compensation remains a proposed application.

Indexed as

calendar-defined missed workdayMOSAIQoperational auditoverall treatment timeradiotherapy quality assurancetreatment continuity

Identifiers

PMID42908819
PMCPMC13683152

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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.