Physician Interest in Hiring Pediatric Psychologists in Specialty Care Roles
Bibliographic record
Abstract
Objective: Integration of pediatric psychology into medical specialty clinics remains an ongoing need in pediatrics, which is dependent on hiring psychologists. The perspectives of physicians who may be involved in the hiring process are not well-understood. This study sought to identify the considerations of physicians in leadership positions in medical training programs. Methods: Participants included a national sample of 64 physician training directors across five specialty areas (gastroenterology, hematology/oncology, neurology, urology, and cardiology). Physicians completed a survey assessing knowledge of pediatric psychology, the current integration of psychologists and trainees, and considerations for hiring pediatric psychology. Physicians provided feedback on a fictional pediatric psychology applicant's “cold email.” Results: The majority (65.6%) of participants reported current psychology integration in the overarching specialty (e.g., neurology); however, integration of psychology trainees and psychology within each subspecialty population (e.g., epilepsy) was less prevalent. Participants indicated varied responses to the “cold email” and identified several considerations in the hiring of pediatric psychologists, including funding, applicant's experience/expertise, and role in the hiring decision. Conclusions: Physician training directors indicated a generally positive interest in working with psychology. Respondents offered diverse considerations related to hiring pediatric psychologists, including multiple considerations specific to the “cold email.” Funding barriers were highlighted as an obstacle. Implications for Impact Statement The study explores areas of pediatric psychology integration and room for (hiring) expansion in five pediatric specialty medical disciplines, with a specific focus on physician considerations in hiring. We offer recommendations for prospective psychologists seeking employment in pediatric specialty and subspecialty care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".