Vogel, Rachel IThomaier, LaurenLou, EmilTeoh, DeannaJewett, PatriciaBeckwith, HeatherParsons, HelenYuan, JianlingBlaes, Anne HHui, Jane YC2020-09-242020-09-242020-09-24https://hdl.handle.net/11299/216451We have provided the survey instrument, data, and the SAS program(s) which generate the calculated variables and statistical analyses as described in the manuscript(s). A. Filename: COVID19_us_oncologist_survey_data3.csv Short description: Data set B. Filename: COVID19AndOncologistsSurvey_REDCapSurvey.pdf Short Description: PDF of survey as presented to participants in REDCap online C. Filename: Covid19_oncologist_analysis_emot_health_final_UPLOAD.sas Short Description: SAS code (9.4) to generate variables and statistical analysis for Thomaier et al., 2020. NOTE: Variables dem_1, dem_3, dem_4, dem_5, and dem_17 have been removed from this public version of the dataset to protect participant privacy. These correspond to age, transgender status, race, ethnicity, and state of residence/practice. To obtain a complete raw dataset, please contact the lead investigator to be vetted for access to that data.Cross-sectional anonymous online survey among physicians treating individuals with cancer in the United States during the initial phase of the COVID-19 pandemic (March 27, 2020 – April 10, 2020). Recruitment: Snowball convenience sampling through social media (Twitter, Facebook, LinkedIn). Eligibility criteria: ≥18 years, able to read/write in English, and being a physician (MD or DO) currently residing and providing cancer treatment in the United States. Data collected and stored in REDCap.CC0 1.0 UniversalCOVID-19oncologyoncologiststreatment decisionsemotional healthDatasethttps://doi.org/10.13020/bmsy-hb61