Mind the Gap: A Systematic Review of Implementation of Screening for Psychological Comorbidity in Dental and Dental Hygiene Education
Bibliographic record
Abstract
The biopsychosocial model is advocated as part of a more comprehensive approach in both medicine and dentistry. However, dentists have not traditionally been taught psychosocial screening as part of their predoctoral education. The aim of this systematic review was to provide an overview of published studies on the implementation of screening for psychological comorbidity in dental and dental hygiene education. The term "psychological comorbidity" refers to the degree of coexisting anxiety, depression, or other mental health problems in a patient presenting with a physical condition. The review followed a protocol registered in PROSPERO (CRD42016054083) and was carried out in accordance with the PRISMA guidelines. The methodological quality of the included studies was assessed using a ten-item tool developed for medical education. The electronic search in PubMed, Scopus, and PsycINFO from the inception of each database until December 31, 2016, together with a hand search, identified 1,777 articles. After abstracts were screened, 52 articles were reviewed in full text applying inclusion and exclusion criteria; four articles remained for the qualitative synthesis. Generally, the reported data on specific methods or instruments used for psychological screening were limited. Only one of the included articles utilized a validated screening tool. The results of this systematic review show that published data on the implementation of psychological patient assessment in dental and dental hygiene education are limited. To address this gap, the authors recommend short screening tools such as the Graded Chronic Pain Scale and the Patient Health Questionnaire for Depression and Anxiety. Educating dental and dental hygiene students about easy-to-use, reliable, and validated screening tools for assessing psychological comorbidity warrants more research attention and greater implementation in educational curricula.
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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 | 0.019 | 0.081 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".