search
for
 About Bioline  All Journals  Testimonials  Membership  News


African Health Sciences
Makerere University Medical School
ISSN: 1680-6905
EISSN: 1680-6905
Vol. 9, No. 4, 2009, pp. 247-253
Bioline Code: hs09060
Full paper language: English
Document type: Research Article
Document available free of charge

African Health Sciences, Vol. 9, No. 4, 2009, pp. 247-253

 en Factors influencing time to diagnosis of childhood cancer in Ibadan, Nigeria
James, BO; Ajayi, SO; Ogun, OA & Oladokun, RE

Abstract

Background: Early diagnosis of cancer allows an opportunity for timely treatment while disease burden is in its earliest stages. Unfortunately, late presentation and delayed diagnosis of childhood cancers remains a problem in developing countries.
Objectives: To describe the pre-diagnostic symptomatic intervals and the factors influencing these time intervals in childhood cancer at the University College Hospital, Ibadan, Nigeria.
Methods: Information was obtained from the case notes of children seen between March 2006 and August 2008. Information included socio-demographic variables, stage of the cancer, duration of illness at diagnosis and other health seeking activities.
Results: Sixty-four children (40 males, 24 females) were studied. Median overall lag time was 13.1 weeks; median parent delay was 2 weeks and median health system delay was 8.8 weeks. Median lag times were shortest in acute leukaemia (8.1 weeks) and Wilms' tumour (8.7 weeks) and longest in Hodgkin lymphoma (101.7weeks).
Conclusion: Lag times were longer than those in developed countries. Factors contributing to delayed diagnosis included delayed referral by doctors, seeking health care from alternate sources and financial constraints. Education of parents and physicians on early presentation and early referral for early diagnosis is recommended.

 
© Copyright 2009 - Makerere Medical School, Uganda

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil