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Treatment outcomes and its associated factors among breast cancer patients at Kitui Referral Hospital
OBJECTIVES: Despite breast cancer treatment outcomes being relatively poor or heterogeneous among breast cancer patients, there was a paucity of data in the African settings, especially in Kenya. Hence, this study aimed to determine treatment outcomes among breast cancer patients at Kitui Referral H...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744162/ https://www.ncbi.nlm.nih.gov/pubmed/35024144 http://dx.doi.org/10.1177/20503121211067857 |
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author | Wambua, Mwendwa Dickson Degu, Amsalu Tegegne, Gobezie T |
author_facet | Wambua, Mwendwa Dickson Degu, Amsalu Tegegne, Gobezie T |
author_sort | Wambua, Mwendwa Dickson |
collection | PubMed |
description | OBJECTIVES: Despite breast cancer treatment outcomes being relatively poor or heterogeneous among breast cancer patients, there was a paucity of data in the African settings, especially in Kenya. Hence, this study aimed to determine treatment outcomes among breast cancer patients at Kitui Referral Hospital. METHODS: A hospital-based retrospective cohort study design was conducted among adult patients with breast cancer. All eligible breast cancer patients undergoing treatment from January 2015 to June 2020 in the study setting were included. Hence, a total of 116 breast cancer patients’ medical records were involved in the study. Patients’ medical records were retrospectively reviewed using a predesigned data abstraction tool. The data were entered, cleaned, and analyzed using SPSS (Statistical Package for Social Sciences) version 26 software. Descriptive analysis—such as percentage, frequency, mean, and figures—was used to present the data. Kaplan–Meier survival analysis was used to estimate the mean survival estimate across different variables. A Cox regression analysis was employed to determine factors associated with mortality. RESULTS: The study showed that the overall survival and mortality rate was 62.9% (73) and 37.1% (43), respectively. The regression analysis showed that patients who had an advanced stage of disease had a 3.82 times risk of dying (crude hazard ratio= 3.82, 95% confidence interval = 1.5–9.8) than an early stage of the disease. Besides, patients with distant metastasis had 4.4 times more hazards of dying than (crude hazard ratio = 4.4, 95% confidence interval = 2.1–9.4) their counterparts. CONCLUSION: The treatment outcome of breast cancer patients was poor, and its overall mortality among breast cancer patients was higher in the study setting. In the multivariate Cox regression analysis, the tumor size was the only statistically significant predictor of mortality among breast cancer patients. Stakeholders at each stage should, therefore, prepare a relevant strategy to improve treatment outcomes. |
format | Online Article Text |
id | pubmed-8744162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87441622022-01-11 Treatment outcomes and its associated factors among breast cancer patients at Kitui Referral Hospital Wambua, Mwendwa Dickson Degu, Amsalu Tegegne, Gobezie T SAGE Open Med Original Research Article OBJECTIVES: Despite breast cancer treatment outcomes being relatively poor or heterogeneous among breast cancer patients, there was a paucity of data in the African settings, especially in Kenya. Hence, this study aimed to determine treatment outcomes among breast cancer patients at Kitui Referral Hospital. METHODS: A hospital-based retrospective cohort study design was conducted among adult patients with breast cancer. All eligible breast cancer patients undergoing treatment from January 2015 to June 2020 in the study setting were included. Hence, a total of 116 breast cancer patients’ medical records were involved in the study. Patients’ medical records were retrospectively reviewed using a predesigned data abstraction tool. The data were entered, cleaned, and analyzed using SPSS (Statistical Package for Social Sciences) version 26 software. Descriptive analysis—such as percentage, frequency, mean, and figures—was used to present the data. Kaplan–Meier survival analysis was used to estimate the mean survival estimate across different variables. A Cox regression analysis was employed to determine factors associated with mortality. RESULTS: The study showed that the overall survival and mortality rate was 62.9% (73) and 37.1% (43), respectively. The regression analysis showed that patients who had an advanced stage of disease had a 3.82 times risk of dying (crude hazard ratio= 3.82, 95% confidence interval = 1.5–9.8) than an early stage of the disease. Besides, patients with distant metastasis had 4.4 times more hazards of dying than (crude hazard ratio = 4.4, 95% confidence interval = 2.1–9.4) their counterparts. CONCLUSION: The treatment outcome of breast cancer patients was poor, and its overall mortality among breast cancer patients was higher in the study setting. In the multivariate Cox regression analysis, the tumor size was the only statistically significant predictor of mortality among breast cancer patients. Stakeholders at each stage should, therefore, prepare a relevant strategy to improve treatment outcomes. SAGE Publications 2022-01-08 /pmc/articles/PMC8744162/ /pubmed/35024144 http://dx.doi.org/10.1177/20503121211067857 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Wambua, Mwendwa Dickson Degu, Amsalu Tegegne, Gobezie T Treatment outcomes and its associated factors among breast cancer patients at Kitui Referral Hospital |
title | Treatment outcomes and its associated factors among breast cancer
patients at Kitui Referral Hospital |
title_full | Treatment outcomes and its associated factors among breast cancer
patients at Kitui Referral Hospital |
title_fullStr | Treatment outcomes and its associated factors among breast cancer
patients at Kitui Referral Hospital |
title_full_unstemmed | Treatment outcomes and its associated factors among breast cancer
patients at Kitui Referral Hospital |
title_short | Treatment outcomes and its associated factors among breast cancer
patients at Kitui Referral Hospital |
title_sort | treatment outcomes and its associated factors among breast cancer
patients at kitui referral hospital |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744162/ https://www.ncbi.nlm.nih.gov/pubmed/35024144 http://dx.doi.org/10.1177/20503121211067857 |
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