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Effect of Interventions on Spatial Abilities in the Field of Technical Skills in Health Care: A Systematic Review

2019· review· en· W3176975875 on OpenAlexaff
J Langlois, Christian Bellemare, Josée Toulouse, George A. Wells

Bibliographic record

VenueThe FASEB Journal · 2019
Typereview
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsUniversity of OttawaUniversité de SherbrookeCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsPsycINFOCINAHLPsychological interventionScopusMEDLINETest (biology)Intervention (counseling)Systematic reviewPsychologyMedical educationSpatial abilityStandardized testMedicineApplied psychologyNursingMathematics educationCognitionPsychiatry

Abstract

fetched live from OpenAlex

Objective Spatial abilities have been correlated to anatomy knowledge assessment using practical examinations, 3D‐synthesis from 2D‐views, drawing of views, and cross‐sections in a previous systematic review. Spatial abilities have also been correlated in a systematic review to technical skills performance in health care in novices and intermediate learners. Evidence has been found for improvement of spatial abilities in the field of anatomy education using instruction in anatomy and mental rotations training in a systematic review. The objective of this study was to conduct a systematic review of the effect of interventions on spatial abilities in the field of technical skills in health care. Methods A literature search was conducted up to November 14, 2017 in Scopus and in several databases on EBSCOhost platform (Medline with Full Text, Cinahl Plus with Full Text, ERIC, Education Source and PsycInfo). Citations were obtained, articles related to retained citations were reviewed and a final list of included studies was identified. Methods in the field of technical skills relating an intervention to spatial abilities test scores between intervention groups or obtained before and after the intervention were identified as eligible. The quality of included studies was assessed and data were extracted in a systematic way. Results A series of 5513 citations was obtained. Ninety‐nine articles were retained and fully reviewed, yielding four included studies. A two‐semester learning period of abdominal sonography was found to increase the Revised Minnesota Paper Form Board Test score (p < 0.05). No difference in the Hidden Figure Test score after one year was observed after residency training in General Surgery of at least nine months. A first‐year dental curriculum was not found to elevate the Novel Object Cross‐Sections Test score (p = 0.07). A hands‐on radiology course using interactive three‐dimensional image post‐processing software consisting of seven two‐hour long seminars on a weekly basis was found to amplify the Cube Perspective Test score (p < 0.001). A meta‐analysis was not possible because of inconsistent reporting of statistical results for spatial abilities test score. Conclusion Spatial abilities tests scores were enhanced by courses in sonography and hands‐on radiology, but were not improved by residency training in General Surgery and first‐year dental curriculum. Enhancements of spatial abilities in the field of technical skills in health care found in this study were similar to those observed in the field of anatomy education using instruction in anatomy. Specific courses will need to be compared in the future to general curriculum for the malleability of spatial abilities. Instruction in anatomy and courses of technical skills will also need to be compared as related to spatial abilities. Support or Funding Information Funding source: none This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.062
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.400
Teacher spread0.371 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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