| Literature DB >> 35245084 |
Carolina Bernabe-Ramirez1, Ana I Velazquez2,3, Coral Olazagasti4, Cristiane Decat Bergerot5, Paulo Gustavo Bergerot5, Jose Corona Cruz6, Ivy Riano7, Christina Adaniel8, Francisca Ramirez9, Jesus Anampa10, Carmen Cajina11, Evelin Mena12, Elias Gracia13, Alvaro Menendez14, Henry Idrovo15, Raimundo Bezares16, Omar Orlando Castillo Fernandez17, Liseth Duque18, Luis Corrales-Rodríguez19, Glenda Ramos9, Alba J Kihn-Alarcón20, Ilana Schlam21, Ximena Bruno22, Gerardo Umanzor23, Jenny Lissette Castro24, Federico Losco25, Luis Ubillos26, Eduardo Richardet27, Enrique Soto-Perez-de-Celis28, Narjust Duma29.
Abstract
PURPOSE: The HOLA COVID-19 study sought to evaluate the impact of COVID-19 on oncology practices across Latin America (LATAM), challenges faced by physicians, and how practices and physicians adapted while delivering care to patients with cancer.Entities:
Mesh:
Year: 2022 PMID: 35245084 PMCID: PMC8920462 DOI: 10.1200/GO.21.00251
Source DB: PubMed Journal: JCO Glob Oncol ISSN: 2687-8941
FIG 1Diagram of participants of the HOLA COVID-19 study.
Participant and Workplace Baseline Characteristics
Telemedicine Use Among Oncology Physicians
FIG 2Self-reported changes in access to resources for the care of patients with access during the COVID-19 pandemic. Diverging stacked bars show answers to Likert scale questions evaluating change in access to resources (eg, CT or PET-CT, biopsies, supportive medications, or social workers) during the COVID-19 pandemic stratified by providers' answer (yes on top v no below) to the question “Have you taken care of cancer patients with COVID-19 infection?” Neutral answers (no change) are centered in the x-axis at zero. CT, computed tomography; PET, positron emission tomography.
FIG 3Frequency distribution of self-reported changes to clinical practice: (A) caring for patients with COVID-19 versus (B) not caring for patients with COVID-19. Respondents who selected not applicable were excluded. CTx, chemotherapy; G-CSF, granulocyte colony-stimulating factor; RT, radiation therapy.
Binary Multivariable Logistic Regression Evaluating the Association of Caring for Patients With COVID-19 (yes v no) With Change in Clinical Practice
Generalized Ordinal Logistic Regression Models Evaluating the Association of Caring for Patients With COVID-19 (yes v no) With Changes in Clinical Practice
FIG 4Predicted probabilities and 95% CIs for the four categories of self-reported frequency to changes to clinical practice, by caring for patients with COVID-19 (yes v no), on the basis of the generalized ordinal logistic regression. (A), (B) Self-reported frequency to changes to clinical practice when asked “Please choose the proportion of your practice that has been affected by the following changes since March 2020 compared to last year.” Among the proposed options, the most clinically relevant are shown: (A) change to a less effective regimen, but with fewer complications or side effects, (B) stop giving chemotherapy to the patients who were already on treatment, and (C) delay the start of chemotherapy. Reported frequencies are based on Likert scale options: in all cases, in most cases, in some cases, in the minority of cases, no changes, and not applicable. Because of the small sample size across categories, in all cases and most cases were collapsed into one category. Respondents who selected not applicable are excluded.