Educational Implications of a Tiered, Competency‐Based "Step Ladder System".
Background: Aligning undergraduate and early postgraduate clinical training remains challenging. We evaluated a tiered competency checklist ("Step Ladder System") implemented in an obstetrics–gynecology (OBGYN) rotation using a mobile assessment platform. Methods: We retrospectively analyzed 74 lear...
| Publicado en: | Journal of Obstetrics & Gynaecology Research Vol. 52; no. 7; pp. 1 - 9 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195548367&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195548367 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13418076 Q17 jtl: Journal of Obstetrics & Gynaecology Research issn: 13418076 maglogo: Y pubinfo: dt: Jul2026 vid: 52 iid: 7 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 195548367 195548367 195548367 10.1111/jog.70390 195548367 ppf: 1 ppct: 8 formats: tig: atl: Educational Implications of a Tiered, Competency‐Based "Step Ladder System". aug: au: Komatsu, Hiroaki Ueki, Masaru Yamada, Nanako Hikino, Kohei Nagata, Hiroki Sawada, Mayumi Taniguchi, Fuminori Harada, Tasuku affil: Department of Obstetrics and Gynecology, Tottori University School of Medicine, Yonago, Japan sug: subj: Education, Medical Education, Competency-Based Clinical Competence Evaluation Obstetrics Education Gynecology Education Curriculum Mobile Applications Utilization Interns and Residents Psychosocial Factors Students, Medical Psychosocial Factors Human Male Female Retrospective Design Record Review Internship and Residency Educational Measurement Program Evaluation Feedback Curriculum Development Academic Medical Centers Japan Japan Students, Undergraduate Psychosocial Factors Work Engagement Work Environment Task Performance and Analysis Sex Factors Supervisors and Supervision Exploratory Research Documentation Decision Making, Clinical Cross Sectional Studies Chi Square Test Descriptive Statistics Male Female ab: Background: Aligning undergraduate and early postgraduate clinical training remains challenging. We evaluated a tiered competency checklist ("Step Ladder System") implemented in an obstetrics–gynecology (OBGYN) rotation using a mobile assessment platform. Methods: We retrospectively analyzed 74 learners (41 final‐year medical students, 33 first‐year residents) who completed an OBGYN rotation at a Japanese university hospital (April 2022–November 2024). The Step Ladder System includes 93 workplace‐based tasks across obstetrics, gynecology, and general practice, organized into three progressive steps (Steps 1–3). Outcomes were stepwise completion rates, gender differences, supervisor ratings, and app‐recorded feedback. We also identified "seamless" tasks and "low‐achievement" tasks to inform curriculum improvement. Results: Students achieved higher completion than residents in Step 1 (82.4% vs. 73.2%, p < 0.05), similar completion in Step 2 (59.2% vs. 54.4%, ns), and lower completion in Step 3 (17.1% vs. 22.1%, p < 0.05). Female learners showed higher completion in several knowledge‐focused Step 2 tasks, while a small number of procedural tasks favored males. Supervisor ratings were predominantly positive (4–5/5), supported by encouraging narrative comments. Ten "seamless" tasks (high completion in both groups with minimal between‐group differences) indicated similar achievement patterns across learner groups, whereas "low‐achievement" tasks (low completion across learners) clustered in advanced Step 3. Conclusions: A mobile, stepwise competency checklist provides a structured framework for clinical training and enables real time documentation and feedback. Completion data may serve as a curriculum diagnostic tool by highlighting stable competencies and potential gaps. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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