Olayide Agodirin, Samuel Olatoke, Ganiyu Rahman, Julius Olaogun, Oladapo Kolawole, John Agboola, Olalekan Olasehinde, Aba Katung, Omobolaji Ayandipo, Amarachukwu Etonyeaku, Anthony Ajiboye, Soliu Oguntola, Oluwafemi Fatudimu
{"title":"Impact of Primary Care Delay on Progression of Breast Cancer in a Black African Population: A Multicentered Survey.","authors":"Olayide Agodirin, Samuel Olatoke, Ganiyu Rahman, Julius Olaogun, Oladapo Kolawole, John Agboola, Olalekan Olasehinde, Aba Katung, Omobolaji Ayandipo, Amarachukwu Etonyeaku, Anthony Ajiboye, Soliu Oguntola, Oluwafemi Fatudimu","doi":"10.1155/2019/2407138","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Reports are scanty on the impact of long primary care interval in breast cancer. Exploratory reports in Nigeria and other low-middle-income countries suggest detrimental impact. The primary aim was to describe the impact of long primary care interval on breast cancer progression, and the secondary aim was to describe the factors perceived by patients as the reason(s) for long intervals.</p><p><strong>Method: </strong>Questionnaire-based survey was used in 9 Nigerian tertiary institutions between May 2017 and July 2018. The study hypothesis was that the majority of patients stayed >30 days, and the majority experienced stage migration in primary care interval. Assessment of the impact of the length of interval on tumor stage was done by survival analysis technique, and clustering analysis was used to find subgroups of the patient journey.</p><p><strong>Results: </strong>A total of 237 patients presented to primary care personnel with tumor ≤5cm (mean 3.4±1.2cm). A total of 151 (69.3%, 95% CI 62.0-75.0) stayed >30 days in primary care interval. Risk of stage migration in primary care interval was 49.3% (95% CI 42.5%-56.3%). The most common reasons for long intervals were symptom misinformation and misdiagnosis. Clustering analysis showed 4 clusters of patients' experience and journey: long interval due to distance, long interval due to misinformation, long interval due to deliberate delaying, and not short interval-prepared for treatment.</p><p><strong>Conclusion: </strong>The majority of patients stayed longer than 30 days in primary care interval. Long primary care interval was associated with a higher risk of stage migration, and more patients reported misinformation and misdiagnosis as reasons for a long interval.</p>","PeriodicalId":15366,"journal":{"name":"Journal of Cancer Epidemiology","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2019-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2019/2407138","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cancer Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2019/2407138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 14
Abstract
Background: Reports are scanty on the impact of long primary care interval in breast cancer. Exploratory reports in Nigeria and other low-middle-income countries suggest detrimental impact. The primary aim was to describe the impact of long primary care interval on breast cancer progression, and the secondary aim was to describe the factors perceived by patients as the reason(s) for long intervals.
Method: Questionnaire-based survey was used in 9 Nigerian tertiary institutions between May 2017 and July 2018. The study hypothesis was that the majority of patients stayed >30 days, and the majority experienced stage migration in primary care interval. Assessment of the impact of the length of interval on tumor stage was done by survival analysis technique, and clustering analysis was used to find subgroups of the patient journey.
Results: A total of 237 patients presented to primary care personnel with tumor ≤5cm (mean 3.4±1.2cm). A total of 151 (69.3%, 95% CI 62.0-75.0) stayed >30 days in primary care interval. Risk of stage migration in primary care interval was 49.3% (95% CI 42.5%-56.3%). The most common reasons for long intervals were symptom misinformation and misdiagnosis. Clustering analysis showed 4 clusters of patients' experience and journey: long interval due to distance, long interval due to misinformation, long interval due to deliberate delaying, and not short interval-prepared for treatment.
Conclusion: The majority of patients stayed longer than 30 days in primary care interval. Long primary care interval was associated with a higher risk of stage migration, and more patients reported misinformation and misdiagnosis as reasons for a long interval.
期刊介绍:
Journal of Cancer Epidemiology is a peer-reviewed, open access journal that publishes original research articles, review articles, case reports, and clinical studies in all areas of cancer epidemiology.