A continuing professional development imperative? Examining trends and characteristics of health professions education doctoral programs
Bibliographic record
Abstract
BACKGROUND: Despite the long-standing faculty development initiatives for improving teaching skills in the health professions, there is still a growing need for educators who are formally trained in educational theory and practice as health professions schools experience dramatic demand and growth. Graduate programs in health professions education (HPE) provide an avenue for health professions' faculty continuing professional development to enhance their knowledge and skills for teaching and curriculum leadership roles. There has been a proliferation of certificate, master's, and doctoral programs in HPE over the last two decades to respond to the growing need for well-prepared faculty educators and program leadership. The purpose of this study was to identify and describe current HPE doctoral programs in United States (U.S.) and Canada. METHODS: The study first examined doctoral programs in HPE identified in earlier studies. Next, we searched the literature and the web to identify new doctoral programs in the U.S. and Canada that had been established between 2014, when the prior study was conducted, and 2022. We then collated and described the characteristics of these programs, highlighting their similarities and differences. RESULTS: We identified a total of 20 doctoral programs, 17 in the U.S. and 3 in Canada. Of these, 12 programs in the U.S. and 1 program in Canada were established in the last 8 years. There are many similarities and some notable differences across programs with respect to degree title, admission requirements, duration, delivery format, curriculum, and graduation requirements. Most programs are delivered in a hybrid format and the average time for completion is 4 years. CONCLUSIONS: The workforce shortage facing health professional schools presents an opportunity, or perhaps imperative, for continuing professional development in HPE through certificate, master's, or doctoral programs. With the current exponential growth of new doctoral programs, there is a need to standardize the title, degree requirements, and further develop core competencies that guide the knowledge and skills HPE graduates are expected to have upon graduation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".