Provenance for this README -------------------------- * File name: README_Dataset-Transforming Medical Education in Liberia (2018) * Corresponding Author: Kristina Talbert-Slagle * Other Authors: Ibrahim Ajami, Braden Currey, Rachel Galvao, Jerusalem Hadush, Serene Silin Li, Javaughn T Flowers, Moses Ziah, Desmond Amuh, Mikaela Rabb, Olayinka Stephen Ilesanmi, Nikole Allen, Marie Martin, Mary Miller, Attila Yaman, Tej Nuthulaganti, Chelsea Plyler, Odell Kumeh, Joseph Sieka, Onyema Ogbuagu, Regan Marsh, Asghar Rastegar, Lawrence Sherman, Z’Sherman Adams, Angela Benson, Bernice Dahn. * Date created: 2022-08-15 * Date modified: 2023-03-07 Dataset Version and Release History ----------------------------------- * Current Version: * Number: 2.0.0 * Date: 2023-03-07 * Persistent identifier: DOI: 10.5061/dryad.j3tx95xj6 * Summary of changes: added more detailed information on variables * Embargo Provenance: n/a * Scope of embargo: n/a * Embargo period: n/a Dataset Attribution and Usage ----------------------------- * Dataset Title: Data for the article, "Transforming Medical Education in Liberia through an International Community of Inquiry" from the 2018 study * Persistent Identifier: https://doi.org/10.5061/dryad.j3tx95xj6 * Dataset Contributors: * Creators: Kristina Talbert-Slagle, Ibrahim Ajami, Braden Currey, Rachel Galvao, Jerusalem Hadush, Serene Silin Li, Javaughn T Flowers, Moses Ziah, Desmond Amuh, Mikaela Rabb, Olayinka Stephen Ilesanmi, Nikole Allen, Marie Martin, Mary Miller, Attila Yaman, Tej Nuthulaganti, Chelsea Plyler, Odell Kumeh, Joseph Sieka, Onyema Ogbuagu, Regan Marsh, Asghar Rastegar, Lawrence Sherman, Z’Sherman Adams, Angela Benson, Bernice Dahn. * Date of Issue: 2023-03-07 * Publisher: PLoS Global Public Health * License: Use of these data is covered by the following license: * Title: CC0 1.0 Universal (CC0 1.0) * Specification: https://creativecommons.org/publicdomain/zero/1.0/; the authors respectfully request to be contacted by researchers interested in the re-use of these data so that the possibility of collaboration can be discussed. * Suggested Citations: * Dataset citation: > Talbert-Slagle et al. 2023. Data for the Article, "Transforming Medical Education in Liberia through an International Community of Inquiry" from the 2018 study. PLoS Global Public Health. * Corresponding publication: > Talbert-Slagle K, Ajami I, Currey B, Galvao R, Hadush J, Li S, Flowers JT, Ziah M, Amuh D, Rabb M, Ilesanmi O, Allen N, Martin M, Miller M, Yaman A, Nuthulaganti T, Plyler C, Kumeh O, Sieka J, Ogbuagu O, Marsh RH, Rastegar A, Sherman L, Adams Z, Benson A, Dahn B. Transforming Medical Education in Liberia through an International Community of Inquiry. PLoS Global Public Health. 2023. Contact Information ------------------- * Author/Principal Investigator Information Name: Kristina Talbert-Slagle ORCID: 0000-0002-5708-1222 Institution: Yale University Address: 200 Church Street South, Suite 100, New Haven CT 06519 Email: kristina.talbert-slagle@yale.edu Author/Associate or Co-investigator Information Name: Bernice Dahn ORCID: 0000-0003-3954-8658 Institution: University of Liberia College of Health Sciences Address: Congo Town campus, Catholic Junction, Monrovia, Liberia Email: bdahn59@gmail.com - - - Additional Dataset Metadata =========================== Acknowledgements ---------------- Information about funding sources that supported the collection of the data: Sponsor: PEPFAR/HRSA Specific grant/funding information: Title: “Resilient and Responsive Health Systems in Liberia” (award number 4 UH6HA30738-05-12) URL to Sponsor’s website: https://www.state.gov/pepfar/ Sponsor: World Bank Specific grant/funding information: “Ebola Emergency Response Project: Grant No. D00080 Contract No. PIU/EERP:24.2017” URL to Sponsor’s website: https://www.worldbank.org/en/home Sponsor: USAID Specific grant/funding information: PEER/Liberia (subaward number 2000009598) URL to Sponsor’s website: https://sites.nationalacademies.org/PGA/PEERLiberia/index.htm Dates and Locations ------------------- * Dates of data collection: Data was collected in October 2018 * Geographic locations of data collection: Monrovia, Liberia - - - Methodological Information ========================== * Methods of data collection/generation: see manuscript for details - - - Data and File Overview ====================== Summary Metrics --------------- * File count: 1 * Total file size: 47 KB * File format: .csv Naming Conventions ------------------ * File naming scheme: File is named "Data from 'Transforming Medical Education in Liberia' followed by the year of data collection (2018) File/Folder Details =================== Details for: Data from 'Transforming Medical Education in Liberia' (2018).csv --------------------------------------- * Description: a comma-delimited file containing survey response raw data from a survey administered to individuals represneting multiple stages of the physician training pipeline in Liberia, from 5th-year medical students to experienced practitioners and medical faculty; * Format(s): .csv * Size(s): 47 KB * Dimensions: 136 rows x 80 columns * Variables: * Column A: Record ID includes numerical indicators for each respondent's data * Column B: Age, numerical values * Column C: Gender indicated by letters; M=male, F=female * Column D: answerts to open response question, letters indicate each respondent's last degree received * Columns E-P: notations indicate whether respondents checked one or more from a list of options given for profession: Medical student, Physician (Intern), Physician (General Practitioner), Physician (Resident), Physician (Consultant), Medical faculty member (Preclinical), Medical faculty member (Clinical), Medical faculty member (Residency), Physician supervisor, Physician working in public facility, Physician working in private facility, Other * Columns Q-V: notations indicate whether respondents checked one or more of the following related to obtaining their Bachelor's degree (B.S. or B.Sc): Liberia, Other African country, North America, Europe, Asia, or "student working toward degree" * Columns W-AB: notations indicate whether respondents checked one or more of the following related to obtaining their Bachelor's of Medicine degree (MBBS or MBChB): Liberia, Other African country, North America, Europe, Asia, or "student working toward degree" * Columns AC-AH: notations indicate whether respondents checked one or more of the following related to obtaining their Doctorate of Medicine degree (MD): Liberia, Other African country, North America, Europe, Asia, or "student working toward degree" * Columns AI-AN: notations indicate whether respondents checked one or more of the following related to where they obtained their residency training: Liberia, Other African country, North America, Europe, Asia, or "student working toward degree" * Columns AO-AT: notations indicate whether respondents checked one or more of the following related to obtaining their Master's Degree (MPH, M.S., or Other): Liberia, Other African country, North America, Europe, Asia, or "student working toward degree" * Columns AU-AZ: notations indicate whether respondents checked one or more of the following related to obtaining their Doctorate (Ph.D.): Liberia, Other African country, North America, Europe, Asia, or "student working toward degree" * Column BA: text indicating responses on Likert scale; five options from "Strongly Agree, Agree, Neither Agree nor Disagree, Disagree, Strongly Disagree * Columns BB-BJ: Respondents were asked to self-evaluate their level of preparedness in nine physician competencies using ordinal variables on Likert scale: fully prepared(1), somewhat prepared(2), neither prepared nor unprepared(3), somewhat unprepared(4), fully unprepared(5) * Columns BK-BS: Respondents were asked to evaluate foreign-trained physicians currently practicing in Liberia on their level of preparedness in nine physician competencies using ordinal variables on Likert scale: fully prepared(1), somewhat prepared(2), neither prepared nor unprepared(3), somewhat unprepared(4), fully unprepared(5) * Columns BT-CB: Respondents were asked to evaluate Liberian-trained physician colleagues on their level of preparedness in nine physician competencies using ordinal variables on Likert scale: fully prepared(1), somewhat prepared(2), neither prepared nor unprepared(3), somewhat unprepared(4), fully unprepared(5) * Missing data codes: missing data are coded as "null"