Literature DB >> 32383443

A Snapshot of Doctoral Training in Epidemiology: Positioning us for the Future.

Way Way M Hlaing1, Renae D Schmidt1, Soyeon Ahn2, Jonathan M Samet3, Ross C Brownson4.   

Abstract

While epidemiology core competencies are established by the Association of Schools and Programs of Public Health for masters-level trainees, no equivalent currently exists for the doctoral level. Thus, the objective of the Doctoral Education in Epidemiology Survey (2019) was to collect information on doctoral-level competencies in general epidemiology (PhD) degree programs and other pertinent information from accredited programs in the United States and Canada. Participants (doctoral program directors or knowledgeable representatives of the program) from 57 institutions were invited to respond to a 39-item survey (18 core competencies; 9 non-core or emerging topic-related competencies; and 12 program-related items). Participants from 55 institutions (96.5%) responded to the survey, of whom over 85% rated 11 out of 18 core competencies as "very important" or "extremely important." Over 80% of the programs currently emphasize 2 of 9 non-core competencies, i.e., competency to (1) develop and write grant proposals, and (2) assess evidence for causality on the basis of different causal inference concepts. "Big Data" is the most frequently cited topic currently lacking in doctoral curricula. Information gleaned from previous efforts and this survey should prompt a dialog among relevant stakeholders to establish a cohesive set of core competencies for doctoral training in epidemiology.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Accreditation; Competencies; Doctoral Level; Education; PhD

Year:  2020        PMID: 32383443     DOI: 10.1093/aje/kwaa069

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  2 in total

Review 1.  The Measurement Error Elephant in the Room: Challenges and Solutions to Measurement Error in Epidemiology.

Authors:  Gabriel K Innes; Fiona Bhondoekhan; Bryan Lau; Alden L Gross; Derek K Ng; Alison G Abraham
Journal:  Epidemiol Rev       Date:  2022-01-14       Impact factor: 4.280

2.  Development of a learning health system science competency assessment to guide training and proficiency assessment.

Authors:  Patricia D Franklin; Denise Drane; Lauren Wakschlag; Ronald Ackerman; Abel Kho; David Cella
Journal:  Learn Health Syst       Date:  2022-10-14
  2 in total

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