Radiotherapy waiting time in Northern Nigeria: experience from a resource limited setting

4 Sep 2020
Nuhu Tumba, Sunday Adeyemi Adewuyi, Kelechi Eguzo, Adeniyi Adenipekun, Rasaaq Oyesegun

Background: Access and availability of radiotherapy treatment is limited in most low- and middle-income countries, which leads to long waiting times and poor clinical outcomes. The aim of our study is to determine the magnitude of waiting times for radiotherapy in a resource-limited setting.

Methods: This is a retrospective cohort study of patients with the five most commonly treated cancers managed with radiotherapy between 2010 and 2014. Data includes diagnosis, patients’ demographics and treatment provided. The waiting time was categorised into intervals (1) between diagnosis and first radiation consultation (2) First consultation to radiotherapy treatment (3) Decision-to-treat to treatment and (4) Diagnosis to treatment.

Results: A total of 258 cases were involved, including cervical (50%; 129/258), breast (27.5%; 71/258), nasopharynx (12.8%; 33/258), colorectal (5%; 13/258) and prostate cancers (4.7%; 12/258). Mean age was 48 (±12.9) years. Treatment with radical intent comprised 67% (178/258) of cases, while 33% (80/258) had palliative treatment. The median time from diagnosis to first radiation consultation was 40 (IQR 17–157.75) days for all the patients, with prostate cancer having the longest time – 305 days (IQR 41–393.8). The median time between the first radiation oncology consultations and first radiotherapy treatment was 130.5 (IQR 14–211.5) days; cervical cancer patients waited a median of 139 (IQR 13–195.5) days. The median time between diagnosis and first radiotherapy for breast cancer patients was 329 (IQR 207–464) days, compared to 213 (IQR 101.5–353.5) days for all the patients.

Conclusion: The study shows that waiting time for radiotherapy in Nigeria was generally longer than what is recommended internationally. This reflects the need to improve access to radiotherapy in order to improve cancer treatment outcomes in resource-limited settings.