Abstract
Background
Radiotherapy remains one of the most critical components of modern cancer management,
relying on accurate and continuous dose delivery over a planned course of treatment.
However, in many hospitals—particularly in resource-limited environments—unplanned
interruptions often occur due to equipment malfunction, maintenance delays, or electricity
issues. These disruptions not only compromise treatment quality but also contribute to
emotional distress among patients and additional workload for healthcare professionals.
Objective
The purpose of this study was to examine how radiotherapy machine downtime affects
patient treatment schedules, tumor control outcomes, and psychological well-being. The
study also aimed to assess the impact on technologists’ workflow, stress levels, and overall
service delivery.
Methods
Data were collected from patients who experienced delays caused by machine breakdowns,
along with responses from radiotherapy technologists working in a public-sector hospital.
Key parameters included duration of treatment interruption, tumor location, prescribed
radiation dose, and patient-reported anxiety levels. A cross-sectional survey among
technologists evaluated machine failure frequency, backlog management, and
communication challenges. Literature findings were reviewed to compare the local impact
with broader evidence.
Results
Frequent downtime resulted in treatment delays ranging from 1 to 10 days. Interruptions had
a noticeable negative effect on treatment outcomes, particularly in cancers of the head and
neck, cervix, and breast, where continuous fractionation is crucial. Extended gaps were
linked to reduced tumor control probability and higher risk of tumor regrowth. Patients
frequently reported anxiety and fear of disease progression during delays.
From the technologists’ viewpoint, machine downtime led to heavy workloads once
treatments resumed, difficulties in rescheduling patients, and increased emotional stress.
Communication gaps and patient dissatisfaction were also observed.
Conclusion
Radiotherapy machine downtime has significant implications for both clinical outcomes and
workflow efficiency. Consistent preventive maintenance, reliable technical support, and
effective communication between staff and patients are essential to reduce treatment gaps.
Establishing backup systems and clear contingency plans can improve operational stability
and support better patient care in low-resource radiotherapy centers.
Keywords:
Radiotherapy, Machine downtime, Treatment interruption, Workflow management,
Tumor control, Patient anxiety, Technologist stress, Low-resource settings.