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Record W7028851457

Gaps in MASLD/MASH Education: A Quantitative and Qualitative Survey with Leaders of US Graduate Medical Education Programs

2025· article· en· W7028851457 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGerman Social Sciences and History
Canadian institutionsGlobal Affairs Canada
Fundersnot available
KeywordsSpecialtyPrimary careMedical schoolQualitative researchFocus groupChristian ministryQualitative analysis
DOInot available

Abstract

fetched live from OpenAlex

Alina M Allen,1 Anthony R Hoovler,2 Amy Articolo,3 Travis Fisher,4 Mazen Noureddin,5 Douglas Dieterich6 1Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA; 2Liver Health, Novo Nordisk Inc., Plainsboro, NJ, USA; 3Global Medical Affairs, Novo Nordisk Inc., Plainsboro, NJ, USA; 4US Medical Affairs, Novo Nordisk Inc., Plainsboro, NJ, USA; 5Department of Medicine, Houston Methodist Hospital, and Houston Research Institute, Houston, TX, USA; 6Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USACorrespondence: Alina M Allen, Division of Gastroenterology and Hepatology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA, Tel +1 507 284 3917, Email allen.alina@mayo.eduPurpose: Metabolic dysfunction–associated steatotic liver disease (MASLD) and its inflammatory subtype, metabolic dysfunction–associated steatohepatitis (MASH), are associated with cardiometabolic risk factors, including obesity and type 2 diabetes. The prevalence of both conditions is rising rapidly and is underdiagnosed (< 5%). We aimed to gather qualitative and quantitative insights from program leaders in US medical education training on their experience with MASH-related training and education.Participants and methods: A cross-sectional study consisting of a quantitative survey and qualitative discussions with individuals in primary care (internal medicine and family medicine) and specialty programs (hepatology, gastroenterology, and endocrinology) were held from February 21 to August 28, 2023. Descriptive statistics were used for data analysis.Results: A total of 190 leaders participated in the online survey and 11 leaders joined the focus groups. Almost all respondents reported that MASLD (96%) and MASH (92%) were included in their program’s curricula. However, many believed that little time was devoted to discussing MASH in their program. Most respondents agreed that MASH is extremely underdiagnosed. Program leaders agreed that the interconnectedness of MASH with other cardiometabolic conditions necessitates instruction time on MASH beyond that of its dedicated curriculum time. All participants believed that emergence of regulatory-approved drugs for MASH will drive a decision to increase the time allotted for MASH in the curriculum.Conclusion: Although program leaders agreed that MASH has an important place in medical education curricula, the relative paucity of treatment options reduces its coverage in training, thereby limiting healthcare practitioners’ understanding of MASH.Plain Language Summary: Metabolic dysfunction–associated steatotic liver disease (MASLD) and metabolic dysfunction–associated steatohepatitis (MASH) are liver conditions that often appear with obesity and type 2 diabetes. Despite the high prevalence and increasing impact of MASLD and MASH, the majority of affected patients are not diagnosed and present late in the course of disease. These observations suggest limits in awareness. This study aimed to understand how US healthcare providers (HCPs) felt about the level of attention MASLD and MASH receive in medical education training programs. An online survey (N = 190) and focus group discussions (N = 11) were held with people who were familiar with their program’s education and training. Most participants said that MASH is often not diagnosed, which can lead to problems; however, it is important to include it in the school’s curriculum. Many people said they think MASH is connected to other conditions, and that meant that HCPs were being trained on it indirectly. Once a treatment for MASH is approved, most participants believed MASH will be covered more in their education programs. Even though MASH is thought to have an important place in the training of HCPs, program leaders saw limited treatment options as a barrier to having more focused time spent on it in their educational programs. Keywords: nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, education, medical, curriculum, surveys and questionnaires, focus groups

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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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.462
GPT teacher head0.656
Teacher spread0.194 · 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 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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