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ASTP-2026 Dataset: Time to Independent Surgical Practice - Prescribed Training Duration and Pathway Architecture Across 30 Asian Health Systems and Six Comparators

Tikfu GeeShu Yu LimHon Chi YipDepartment of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, ChinaYûsuke WatanabeDepartment of Gastroenterological Surgery, Hokkaido University Hospital, Sapporo, Hokkaido, JapanMohammad KermansaraviDepartment of Surgery, Division of Minimally Invasive and Bariatric Surgery, Hazrat-e Rasool Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, IranLilian KowFlinders Private HospitalMoudud Hossain AlamgirBangladesh College of Physicians and Surgeons (BCPS) and TMSS Medical College, BangladeshNurbyek BabanManish BaijalMax Super Speciality Hospital, Delhi, IndiaOnon BalAsylbek BaygazakovNorman BerrebiCHU de Reims, FranceFathullo Bakhshulloevich BoqievLloyd Nario BordeosDepartment of Surgery, Vicente Sotto Memorial Medical Center, Cebu, PhilippinesPo-Chih ChangDivision of Thoracic Surgery, Department of Surgery, Kaohsiung Medical University Hospital and Kaohsiung Medical University, Kaohsiung, TaiwanNim ChoiDepartment of General Surgery, Centro Hospitalar Conde de S. Januario, Macao SAR, ChinaSonam DargayDepartment of Surgery, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan; Khesar Gyalpo University of Medical Sciences of BhutanSurrendar DawaniJinnah Postgraduate Medical Centre, Karachi, Sindh, PakistanRubecka DissanayakeN A HakimBreast and Endocrine Unit and Department of Surgery, Hospital Kuala Lumpur, MalaysiaSoe Min HtutDepartment of Surgery, University of Medicine 1, Yangon, MyanmarJawon HwangDepartment of Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, South KoreaBekkhan KhatsievStavropol State Medical University, Russian FederationPei-Wen LimDepartment of Surgery, Mayo Clinic, Phoenix, Arizona, United States. Board-certified general surgeonDarokhan MalakzoiAung Myint OoDepartment of General Surgery, Tan Tock Seng Hospital, SingaporeOral OspanovPhạm Quang TiếnGeneral Surgery Department, School of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, VietnamAlongkone PhengsavanhFaculty of Medicine, National University of Health Sciences, Vientiane, Lao PDRBijoy Gopal RajbanshiDepartment of Cardiovascular and Thoracic Surgery, Nepal Mediciti Hospital, Nakhu, Lalitpur, NepalUmid RuzievDepartment of General Surgery in Family Medicine, Tashkent State Medical University, UzbekistanBun SelaFaculty of Medicine, University of Health Sciences, Phnom Penh, Cambodia; and Department of Surgery, Techo Santepheap National Hospital, CambodiaBekbolot ShavurovDepartment of Clinical Disciplines 3, International Medical Faculty, Osh State University, and Kyrgyz-Turkish International Hospital, Kyrgyz RepublicChristine StierDepartment of Surgery, University of Heidelberg, University Hospital Mannheim, GermanyVoraboot TaweerutchanaMahidol UniversityErrawan R WiradisuriaJanice H L WongDepartment of General Surgery, Urology and Paediatric Surgery, Raja Isteri Pengiran Anak Saleha (RIPAS) Hospital, Brunei DarussalamWah YangDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, ChinaYeung TrevorDepartment of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, ChinaFathimath ZuwaidaDepartment of General Surgery, ADK Hospital, Male, Maldives

2026en

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Litsenziya: cc-by

Manbada oʻqishdoi.org(yangi oynada ochiladi)

ABI

Annotatsiya

This dataset documents the prescribed minimum time to independent general surgical practice and formally recognised organ-based subspecialty credentialing across 30 Asian health systems and six international comparators. The study examines surgical training duration, entry requirements, training structure, credentialing authorities, and compulsory non-training intervals. Data reflect regulatory and training requirements in force as of 31 October 2026. The repository includes a detailed codebook defining the study variables, four-axis training pathway classification, coding conventions, source verification categories, and analytical methodology. Where supplied, accompanying datasets, documentary source records, and reproducible Python analysis scripts support independent verification of the reported findings. The dataset is intended to support transparency, reproducibility, and further comparative research in surgical education and workforce development.

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DOI: 10.5281/zenodo.24191187

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