Tesfaw Aragaw, Demis Solomon, Munye Tigabu, Ashuro Zemachu
Department of Public Health, Debre Tabor University, College of Health Sciences, Debre Tabor, Ethiopia.
Department of Pediatrics and neonatal Nursing, Debre Tabor University, College of Health Sciences, Debre Tabor, Ethiopia.
J Multidiscip Healthc. 2020 Nov 2;13:1391-1401. doi: 10.2147/JMDH.S275157. eCollection 2020.
Unlike developed countries, there is high mortality of breast cancer in low- and middle-income countries associated with prolonged patient delays and advanced stage presentations. However, evidence-based information about patient delay in presentation and contributing factors to diagnosis of breast cancer in Ethiopia is scarce.
Institution-based cross-sectional study was conducted at oncology units of the University of Gondar and Felege Hiwot specialized hospitals. A total of 371 female breast cancer patients who were newly diagnosed from September 2019 to April 30, 2020 were included. Data were entered using EPI info version 7.2 and analyzed in SPSS version 23. Descriptive statistics was used to summarize socio-demographic and clinical characteristic of the patients. Multivariable logistic regression at a -value<0.05 significance level was used to identify predictors of patient delay.
A total of 281 (75.7%) patients had long patient delay of ≥90 days (3 months) with the average patient delay time of 8 months, and advanced stage diagnosis was found on 264 (71.2%) of patients. The median age of patients was 40 years. Rural residence (AOR=3.72; 95% CI=1.82-7.61), illiterate (AOR=3.8; 95% CI=1.71-8.64), having a painless wound (AOR=3.32; 95% CI=1.93, 5.72), travel distance ≥5 km (AOR=1.66; 95% CI=1.09-3.00), having no lump/swelling in the armpit (AOR=6.16; 95% CI=2.80-13.54), and no history of any breast problem before (AOR=2.46; 95% CI=(1.43-4.22) were predictors for long patient delay.
Long patient delay and advanced stage diagnosis of breast cancer are higher in our study. Travel distance ≥5 km, rural residence, no history of any breast problem before, having no lump/swelling in the arm pit, a painless lump in the breast, and being illiterate were important predictors for patient delay. Therefore, public awareness programs about breast cancer should be designed to prevent patient delay in presentation and to promote early detection of cases before advancement.
与发达国家不同,低收入和中等收入国家的乳腺癌死亡率很高,这与患者就诊延迟时间长和就诊时处于晚期有关。然而,关于埃塞俄比亚患者就诊延迟及乳腺癌诊断影响因素的循证信息匮乏。
在贡德尔大学和费莱格·希沃特专科医院的肿瘤科开展基于机构的横断面研究。纳入2019年9月至2020年4月30日新诊断的371例女性乳腺癌患者。数据使用EPI info 7.2版本录入,并在SPSS 23版本中进行分析。描述性统计用于总结患者的社会人口学和临床特征。在显著性水平α<0.05下,采用多变量逻辑回归来确定患者延迟的预测因素。
共有281例(75.7%)患者就诊延迟时间长达90天及以上(3个月),平均就诊延迟时间为8个月,264例(71.2%)患者诊断为晚期。患者的中位年龄为40岁。农村居民(调整后比值比[AOR]=3.72;95%置信区间[CI]=1.82 - 7.61)、文盲(AOR=3.8;95% CI=1.71 - 8.64)、有无痛性肿物(AOR=3.32;95% CI=1.93,5.72)、出行距离≥5公里(AOR=1.66;95% CI=1.09 - 3.00)、腋窝无肿块/肿胀(AOR=6.16;95% CI=2.80 - 13.54)以及既往无任何乳腺问题史(AOR=2.46;95% CI=(1.43 - 4.22)是就诊延迟时间长的预测因素。
在我们的研究中,患者就诊延迟时间长和乳腺癌晚期诊断的情况较为常见。出行距离≥5公里、农村居民、既往无任何乳腺问题史、腋窝无肿块/肿胀、乳腺有无痛性肿块以及文盲是患者就诊延迟的重要预测因素。因此,应设计有关乳腺癌的公众意识项目,以防止患者就诊延迟,并促进在病情进展前早期发现病例。