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Int J Qual Health Care ; 31(9): 682-690, 2019 Nov 30.
Article in English | MEDLINE | ID: mdl-31125084

ABSTRACT

OBJECTIVES: Describe the time elapsed from the diagnosis to treatment with chemotherapy for patients with breast and lung cancer at public and private hospitals in Buenos Aires. DESIGN: Retrospective cohort study. SETTING: Three public and three private academic hospitals in Buenos Aires. PARTICIPANTS: Patients with breast (n = 168) or lung cancer (n = 100) diagnosis treated with chemotherapy. MAIN OUTCOMES MEASURES: Clinical and sociodemographic data were collected in a stratified sample. We used the Kaplan-Meier estimator to analyse the time elapsed and the log rank test to compare both groups. RESULTS: For breast cancer patients, median time elapsed between diagnosis and treatment with chemotherapy was 76 days (95% CI: 64-86) in public and 60 days (95% CI: 52-65) in private hospitals (P = 0.0001). For adjuvant and neoadjuvant treatments, median time was 130 (95% CI: 109-159) versus 64 (95% CI: 56-73) days (P < 0.0001) and 57 days (95% CI: 49-75) versus 26 (95% CI: 16-41) days, respectively (P = 0.0002). There were no significant differences in the time from first consultation to diagnosis. In patients with lung cancer, median time from diagnosis to treatment was 71 days (95% CI: 60-83) in public hospitals and 31 days (95% CI: 24-39) in private hospitals (P = 0.0002). In the metastatic setting, median time to treatment was 63 days (95% CI: 45-83) in public and 33 (95% CI: 26-44) days in private hospitals (P = 0.005). CONCLUSIONS: There are significant disparity in the access to treatment with chemotherapy for patients in Buenos Aires, Argentina.


Subject(s)
Breast Neoplasms/drug therapy , Health Services Accessibility/statistics & numerical data , Lung Neoplasms/drug therapy , Time-to-Treatment/statistics & numerical data , Adult , Aged , Argentina , Chemotherapy, Adjuvant/statistics & numerical data , Cohort Studies , Female , Hospitals, Private/statistics & numerical data , Hospitals, Public/statistics & numerical data , Hospitals, Teaching/statistics & numerical data , Humans , Male , Middle Aged , Neoadjuvant Therapy/statistics & numerical data , Retrospective Studies
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