ArticleAdvances in radiation oncology2024
Impact of Severe Winter Weather on Operations of a Radiation Oncology Department.
Article in Advances in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Predictors of radiotherapy non-compliance in a large public cancer center in the Philippines.Ecancermedicalscience · 2026Article
- Saving lives, saving earth: hypofractionation and carbon footprint.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: During winter 2022, western New York faced 2 major storms with blizzard conditions and record-breaking snowfall. The severe weather resulted in power outages and travel bans. This study investigates the impact of these conditions on patient adherence to radiation therapy. Combining data from a large academic center and its satellite clinic, this single-center study sheds light on the challenges faced by cancer care facilities during severe weather and proposes suggestions to prevent and mitigate harm done by severe weather. Methods and Materials: In this study, data were collected using the MOSAIQ Record and Verify system (v. 2.81) to generate deidentified reports of scheduled and treated patients. The treatment adherence rate was calculated by dividing the number of patients treated by the total number of patients scheduled. Data were specifically collected for patients undergoing treatment on linear accelerators at a primary academic center and a satellite facility. The study focused on working days from November 1, 2022, to March 31, 2023, excluding weekends and holidays (as treatments are not routinely scheduled). Severe weather days were identified using advisories from the National Weather Service and the local institution, including specific periods in November, December, and January. Results: In the study, 15,010 scheduled treatment visits were recorded across the academic center and the satellite clinic. The mean daily treatment adherence rate was 91.7%. Severe weather conditions led to a significant reduction in adherence, with rates dropping to 77.8%. Adherence rates during nonsevere weather days were notably higher at 93.9%. Statistical analysis confirmed the substantial influence of severe weather on adherence ( Conclusion: As a part of operational planning, it is important to be aware how severe weather can impact treatment adherence. Study findings underscore the importance of proactive measures to ensure patient access to health care services during adverse weather events and highlight the broader significance of incorporating consideration of social determinants of health into contingency planning for maintaining treatment continuity.
Identifiers
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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.