Abstract 51: Breast Biopsy Report Abstraction Process From A Community And Hospital Based Screening And Treatment Programme In A Lmic (Kenya) Between January 2017 – December 2019

Purpose: There is no standardized way of reporting the pathological lab results therefore there is inadequate reporting in Low- and Middle-Income Countries like Kenya. Proper documentation of the lab results is key in providing appropriate care to breast cancer patients, policymaking, designing, implementing, and evaluating cancer control activities. There is need to standardize reporting of the pathological breast cancer lab results. Methods: The biopsy results for all the Africa Breast and Cervical Cancer Program (ABCCP) in Kenya patients seen between the year 2017 to 2019 were received, photocopied, and filed in box files. Biopsy reporting was done by various pathologists within the country. To standardize the reporting, a data abstraction questionnaire was developed from Protocol for the Examination of Resection Specimens From Patients With Invasive Carcinoma of the Breast (7th Edition, 2012) adapted from the American College of Pathologists programmed into an Open Data Kit. Raw abstracted data was verified against corresponding images to identify misclassifications by the consultant. Sensitivity and specificity for correct classification by the clinical and non-clinical research assistants was calculated and evaluated. Results: A total of 1490 records were abstracted in 3 weeks, out of which 529 records were breast biopsy results. On average, the research assistants abstracted 83 (42 - 195) records. The research assistants were able to correctly classify 284 cases as malignant and 202 cases as benign with a Sensitivity of 92% and Specificity of 92%. Upon review of the data by the consultant, the total misclassified records were 18 benign classified as malignant and 25 malignant cases classified as benign. There was no statistically significant difference (p = 0.1125) in the classifications between the clinical and non-clinical abstraction staff. Conclusion: There was high sensitivity and specificity on correctly classifying the biopsy results for both well trained clinical and non-clinical staff. Citation Format: Stephen Karuru Maina, Emmah Achieng, Hussein Elias, Kibet Kibor, Chite Asirwa. Breast Biopsy Report Abstraction Process From A Community And Hospital Based Screening And Treatment Programme In A Lmic (Kenya) Between January 2017 – December 2019 [abstract]. In: Proceedings of the 9th Annual Symposium on Global Cancer Research; Global Cancer Research and Control: Looking Back and Charting a Path Forward; 2021 Mar 10-11. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2021;30(7 Suppl):Abstract nr 51.