Determinants of late detection and advanced-stage diagnosis of breast cancer in Nigeria

Autor: Anthony Ajiboye, John Agboola, Julius Gbenga Olaogun, Olusola Aanuoluwapo Akanbi, Ademola Adeyeye, Saliu Oguntola, GA Rahman, Olalekan Olasehinde, HJ Akande, Oluwafemi Fatudimu, Omobolaji O. Ayandipo, Oladapo Adedayo Kolawole, SA Olatoke, A C Etonyeaku, Olayide Agodirin, Olufemi Habeeb, Aba Katung
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Health Knowledge
Attitudes
Practice
Delayed Diagnosis
Epidemiology
medicine.medical_treatment
Health Care Providers
Cancer Treatment
Surveys and Questionnaires
Breast Tumors
Medicine and Health Sciences
Medicine
Mastectomy
Aged
80 and over
Multidisciplinary
Obstetrics
Cancer Risk Factors
Middle Aged
Oncology
Disease Progression
Female
Research Article
Adult
medicine.medical_specialty
Patients
Science
Nigeria
Breast Neoplasms
Surgical and Invasive Medical Procedures
Young Adult
Breast cancer
Diagnostic Medicine
Statistical significance
Breast Cancer
Cancer Detection and Diagnosis
Humans
Socioeconomic status
Aged
Surgical Excision
business.industry
Advanced stage
Cancer
Breast Self-Examination
Cancers and Neoplasms
Odds ratio
medicine.disease
Health Care
Age Groups
Relative risk
Medical Risk Factors
People and Places
Population Groupings
business
Zdroj: PLoS ONE, Vol 16, Iss 11, p e0256847 (2021)
PLoS ONE
PLoS ONE, Vol 16, Iss 11 (2021)
ISSN: 1932-6203
Popis: Late detection of Breast cancer(BC) and progressing with advanced-stage diagnosis after early detection contribute differently to the challenges of managing BC in Africa. Understanding the difference may improve cancer education programs and their effectiveness. Objective To describe the risk factors for late detection and advanced-stage diagnosis among patients who detected their BC early. Method Using secondary data, we analyzed the impact of socio-demographic factors, premorbid experience, BC knowledge, and health-seeking pattern on the risk of late detection and advanced-stage diagnosis after early BC detection. Test of statistical significance in SPSS and EasyR was set at 5% using Sign-test, chi-square tests (of independence and goodness of fit), odds ratio, or risk ratio as appropriate. Result Most socio-demographic factors did not affect detection size or risk of disease progression in the 405 records analyzed. High BC knowledge, p-value = 0.001, and practicing breast self-examination (BSE) increased early detection, p-value = 0.04, with a higher probability (OR 1.6 (95% CI 1.1–2.5) of detecting Conclusion Strategies to increase BC knowledge and BSE may help BC downstaging, especially among women with common barriers to early diagnosis.
Databáze: OpenAIRE
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