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Record W2797277103 · doi:10.4300/jgme-d-17-00771.1

Improving Graduate Medical Education in China: Leading Teaching Hospitals Engage in Self-Analysis

2018· article· en· W2797277103 on OpenAlexaboutno aff
Shuyang Zhang, Zuoqin Yan, Xuehong Wan, Ye Shen, Guanghua Lei, Ming Kuang, Hui Pan, Qìng Yu, Xingyue Wang, Guo‐Ping Jiang, Jie Peng, Lina Tang, Chao Guo, Jiming Zhu, Thomas S. Inui

Bibliographic record

VenueJournal of Graduate Medical Education · 2018
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsGraduate medical educationMedical educationChinaMEDLINEMedicineData sciencePsychologyComputer sciencePolitical scienceAccreditation

Abstract

fetched live from OpenAlex

In December 2016, an ambitious new national policy, Healthy China 2030, was endorsed by China's political leadership.1 A key aim of this policy is to improve health care quality, including the quality of physician services. Effective implementation of this policy would require the availability of a large number of well-trained physicians. Under public pressure to improve physician numbers, the National Health and Family Planning Commission of the People's Republic of China (China's ministry of health) in 2013 mandated a national residency education policy called Standardized Residency Training (SRT).2 The commission designated 559 nationally distributed teaching hospitals (from more than 27 580 hospitals in China3) to serve as residency training sites, and it assigned these institutions the responsibility of implementing a standardized graduate medical education (GME) program of 3 years' duration, the period during which trainees are supported by public funds. Fulfilling this mandate has proved challenging in the absence of established GME standards in China.In this perspective, we describe the work of a consortium formed by 6 long-standing partner institutions of the China Medical Board (CMB), all among the newly designated teaching hospitals, to advance best practices for GME. The consortium framed its activities as continuous improvement, with plans to benchmark on and interact with professional organizations in North America and Europe. We discuss the generalizable benefits of this effort, including learning about the application of established standards across cultures and health care systems.There is currently considerable heterogeneity in the educational background of China's physician workforce, with half of the individuals officially recognized as physicians lacking a bachelor's degree. One potential root cause is chaos within China's medical education system, resulting from its huge size, lack of standardization, and many historical legacies.4 The duration of medical school education can vary from 3 to 8 years. GME is often understood as “graduate degree-granting,” or training conducted solely in high-reputation teaching hospitals. For the full implementation of Healthy China 2030, China's GME system would need to undergo standardization and significant improvement.Recognizing these challenges, the ministry of health mandated the SRT policy,2 with the aims of modernizing China's GME, reducing the heterogeneity of physician training, and improving the quality of care. The policy provided funding for 3 years of salary for all SRT residents, jointly financed by the central government, local authorities, and hospitals. In total, an estimated US $7 billion from the central government will be dedicated to SRT by 2020,5 with additional commitments from provincial authorities and hospitals. As part of the policy, 24 of the 559 designated residency teaching hospitals were further selected as the national demonstration sites, expected to identify and test SRT best practices.The China Medical Board is a US foundation established by John D. Rockefeller in 1914. For more than 100 years its grant-making process and operations have emphasized activities to improve health care systems and health professions education in China and its neighboring countries.6 When the ministry established a goal of strengthening GME, the CMB was urged by its academic health center partners in China to facilitate actions that could strengthen residency programs in their teaching hospitals. In 2015, with CMB support, 6 of the 24 demonstration sites and CMB partner institutions7 formed a consortium (designated the China Consortium of Elite Teaching Hospitals for Residency Education) to share information and facilitate progress in SRT implementation (selected characteristics are shown in the table).In October 2016, consortium leadership met to explore an institutional self-study process founded on aspects of the Accreditation Council for Graduation Medical Education–International8 (ACGME-I) and the Royal College of Physicians and Surgeons of Canada9 (Royal College) publicly available international accreditation frameworks. The rationale was that a self-study might inform strategic changes. A self-study guide was developed (provided as online supplemental material) that included virtually all institutional and program standards, and cited both Royal College CanMEDS and ACGME-I competency frameworks. The consortium decided to use these materials as a framework for a self-study because the ministry of health aimed to develop “world-class” residency programs. From the outset, it was clear that the standards would need to be tailored to China.A subgroup of the authors (C.G., J.Z., T.S.I.) visited all 6 consortium institutions. Activities included meetings with university and teaching hospital leaders, residency program directors, and current residents, and a debriefing on observations with institutional leadership. These site visits served as a “jump start” for the institutional self-studies. Field notes from the site visits yielded a matrix of interview content highlights by site as well as topics that surfaced across all institutions (provided as online supplemental material).10A second meeting of the consortium in March 2017 focused on the results of the self-studies, including an analysis of institutional GME strengths, areas for improvement, opportunities, and threats (figure). The task of disclosing areas for improvement to one another was taken seriously. Consortium members recognized strategic opportunities for exchange, and a work plan was developed (provided as online supplemental material).The formation of a nongovernmental academic consortium of GME institutions is an unprecedented event in the history of China. It represents a public-spirited, collaborative professional effort to implement China's new residency training policy in institutions chosen for their leadership potential. The determination of governmental ministries and the Central Committee of the Communist Party of China (the highest-level policy-making governing body) to see the SRT implemented should not be underestimated. It is thought that China's Central Committee instituted the SRT out of concern for citizen dissatisfaction with the quality of physician services, which in some circumstances has resulted in attacks on physicians in hospital settings.11 China's ministries are also concerned with the professional ethics of physicians and hospitals, believing that the selling of prescription medications and profit motivation have displaced professional values, such as a humanistic service commitment. Unless the profession of medicine and organizations such as teaching hospitals take an active role in problem remediation, an opportunity to recapture the trust of patients, the public, and the government will be lost. Dissatisfaction with the medical profession and its professionalism is not unique to China, and there will be a larger audience for the results of this effort outside of China.To date, the consortium's systematic and searching self-assessment process has sharpened the focus on institutional aims, policy, structure, process, measures, outcomes, and management—the areas identified as high-priority topics for future work. An examination of these areas has revealed they are “at the heart of the matter” for the improvement of physician education worldwide. When teaching hospitals are overloaded with trainees, how can these institutions collaborate with expanded networks and faculty to increase high-quality training capacity? Can high-quality primary care be learned in selected community teaching clinics? In the absence of career tracks and professional associations for program directors, how can their professional development be assured? What medical humanism and professionalism training can take root in a market-driven medical environment? The consortium is preparing Chinese-language versions of its documents for dissemination to all 559 teaching hospitals and use by the ministry, planning an annual national conference, and providing leadership for the elements of its collaborative work. Ministry of health leadership is actively participating in consortium workshops, asking their policymaker questions, taking notes, and foreshadowing future funding initiatives.The work of the consortium is important beyond China. Among high-income countries with mature GME standards and systems, the United States has embarked on a new accreditation system that focuses on self-study,12 and in low- and middle-income countries, which have built up their undergraduate medical education systems, improving GME has attracted special attention.13 Institutional networking to pursue continuous improvement objectives could be useful in settings where top-down mandates for change are the norm, as well as in market-oriented settings where such central mandates are lacking.The improvement of a nation's physician workforce and—by the subsequent engagement of these individuals in patient care—improvement in the quality of care provided to its citizens are relevant across the globe. In China, through the actions of the central party apparatus and ministries, new policy and substantial resources have been committed to this aim, and a consortium of teaching hospitals is actively engaged in collaborative work to improve GME. Improving China's physician workforce will be a sizable and challenging undertaking. This “journey of 1000 miles” has just begun.

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)0.012
metaresearch head score (Gemma)0.044
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.044
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.372
Teacher spread0.354 · 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.

Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations4
Published2018
Admission routes1
Has abstractyes

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