Time intervals experienced between first symptom recognition and pathologic diagnosis of breast cancer in Addis Ababa, Ethiopia: a cross-sectional study.

Alem Gebremariam, Adamu Addissie, Alemayehu Worku, Mathewos Assefa, Lydia E Pace, Eva Johanna Kantelhardt, Ahmedin Jemal
Author Information
  1. Alem Gebremariam: Public Health, Adigrat University College of Medicine and Health Sciences, Adigrat, Ethiopia alemg25@gmail.com. ORCID
  2. Adamu Addissie: Preventive Medicine, Addis Ababa University School of Public Health, Addis Ababa, Ethiopia.
  3. Alemayehu Worku: Preventive Medicine, Addis Ababa University School of Public Health, Addis Ababa, Ethiopia.
  4. Mathewos Assefa: Radiotherapy Center, Addis Ababa University School of Medicine, Addis Ababa, Ethiopia.
  5. Lydia E Pace: Medicine, Brigham and Women's Hospital, Boston, Massachuset, USA.
  6. Eva Johanna Kantelhardt: Institute for Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany. ORCID
  7. Ahmedin Jemal: Surveillance and Health Services Research, American Cancer Society, Atlanta, Georgia, USA.

Abstract

OBJECTIVES: This study aimed to estimate the magnitude of patient and diagnostic delays and associated factors among women with breast cancer in Addis Ababa.
DESIGN: This is a cross-sectional study.
SETTINGS AND PARTICIPANTS: All women newly diagnosed with breast cancer in seven major healthcare facilities in Addis Ababa (n=441) were included in the study.
MAIN OUTCOMES AND MEASURES: Patient interval (time from recognition of first symptom to medical consultation) and diagnostic interval (time from first consultation to diagnosis). Patient intervals >90 days and diagnostic intervals >30 days were considered delays, and associated factors were determined using multivariable Poisson regressions with robust variance.
RESULTS: Thirty-six percent (95% CI [31.1%, 40.3%]) of the patients had patient intervals of >90 days, and 69% (95% CI [64.6%, 73.3%]) of the patients had diagnostic intervals of >30 days. Diagnostic interval exceeded 1 year for 18% of patients. Ninety-five percent of the patients detected the first symptoms of breast cancer by themselves, with breast lump (78.0%) as the most common first symptom. Only 8.0% were concerned about cancer initially, with most attributing their symptoms to other factors. In the multivariable analysis, using traditional medicine before consultation was significantly associated with increased prevalence of patient delay (adjusted prevalence ratio (PR) = 2.13, 95% CI [1.68, 2.71]). First consultation at health centres (adjusted PR = 1.19, 95% CI [1.02, 1.39]) and visiting ≥4 facilities (adjusted PR = 1.24, 95% CI [1.10, 1.40]) were associated with higher prevalence of diagnostic delay. However, progression of symptoms before consultation (adjusted PR = 0.73, 95% CI [0.60, 0.90]) was associated with decreased prevalence of diagnostic delay.
CONCLUSIONS: Patients with breast cancer in Addis Ababa have prolonged patient and diagnostic intervals. These underscore the need for public health programme to increase knowledge about breast cancer symptoms and the importance of early presentation and early diagnosis among the general public and healthcare providers.

Keywords

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MeSH Term

Adult
Age Factors
Aged
Breast
Breast Neoplasms
Cross-Sectional Studies
Delayed Diagnosis
Educational Status
Ethiopia
Female
Humans
Middle Aged
Poisson Distribution
Risk Factors
Surveys and Questionnaires
Time Factors

Word Cloud

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