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Deploying a metabolic dysfunction-associated steatohepatitis consensus care pathway: findings from an educational pilot in three health systems

Abstract

Background

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly referred to as nonalcoholic fatty liver disease, impacts 30% of the global population. This educational pilot focused on the role primary care providers may play in the delivery of guidelines-based metabolic dysfunction-associated steatohepatitis (MASH) care.

Objective

Accelerate the application of guidelines-based MASH care pathways to clinical workflows.

Methods

A panel of six hepatologists was convened in 2021 to develop the care pathway and the subsequent pilot occurred between 2022 – 2023. The pilot was conducted across three U.S. health systems: Boston Medical Center (Boston), Methodist Health System (Dallas), and Weill Cornell Medicine (New York). Clinicians were educated on the care pathway and completed baseline/follow-up assessments. 19 primary care clinicians participated in the educational pilot baseline assessment, nine primary care clinicians completed the two-month assessment, and 15 primary care clinicians completed the four-month assessment. The primary endpoint was to assess clinician-reported adherence to and satisfaction with the care pathway. The pilot was deemed exempt by the Western Consensus Group Institutional Review Board.

Results

At baseline, 38.10% (n = 8) of respondents felt they had received sufficient training on when to refer a patient suspected of metabolic dysfunction-associated liver disease to hepatology, and 42.86% (n = 9) had not referred any patients suspected of metabolic dysfunction-associated liver disease to hepatology within a month. At four months post-intervention, 79% (n = 15) of respondents agreed or strongly agreed they received sufficient training on when to refer a patient suspected of metabolic dysfunction-associated liver disease to hepatology, and there was a 25.7% increase in self-reported adherence to the institution’s referral guidelines. Barriers to care pathway adherence included burden of manually calculating fibrosis-4 scores and difficulty ordering non-invasive diagnostics.

Conclusions

With therapeutics anticipated to enter the market this year, health systems leadership must consider opportunities to streamline the identification, referral, and management of patients with metabolic dysfunction-associated steatohepatitis. Electronic integration of metabolic dysfunction-associated steatohepatitis care pathways may address implementation challenges.

Peer Review reports

Background

Metabolic-dysfunction associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD), affects approximately 30% of the global population and is defined as the presence of hepatic steatosis in conjunction with at least one cardiometabolic risk factor and no other discernible cause [1, 2]. An estimated 20% of MASLD cases progress to the more severe form of the disease called metabolic dysfunction-associated steatohepatitis (MASH), formerly known as nonalcoholic steatohepatitis (NASH) [3]. MASH is characterized by an accumulation of fat within the liver, which may cause liver inflammation, stiffness, or damage. Left untreated and unmanaged, over the course of many years MASH can lead to poor long-term outcomes including cirrhosis, hepatocellular carcinoma (HCC), liver transplantation, or death [4].

Common cardiometabolic risk factors for MASLD and MASH include obesity, type 2 diabetes, insulin resistance, hypertension and hyperlipidemia which can potentially contribute to increased complications [5]. Approximately 50 to 70% of people with diabetes are believed to have MASLD [6]. MASLD/MASH guidelines from several different organizations, such as the American Association for the Study of Liver Disease (AASLD), the American Diabetes Association (ADA), the American Gastroenterological Association (AGA), and the American Association of Clinical Endocrinology (AACE), have been published within the last five years with a focus on screening high-risk populations [7,8,9,10]. However, MASLD/MASH care pathways developed by the AGA and AACE do not account for variances in patient populations, test availability, or real-world limitations (e.g., access to diagnostics).

Despite the increasing prevalence of disease and range of commonly seen risk factors, gaps in primary care practitioner (PCP) awareness around MASH care still exist. A previous study identified lack of confidence in diagnosing MASLD and inconsistent approaches to disease management as barriers for PCPs [11]. Additionally, guidelines do not provide substantial direction on disease management or specific treatment for MASLD outside of lifestyle modifications. Weight loss is a key part of management, and options can include improving diet and exercise habits, as well as therapeutic and bariatric/metabolic surgical interventions. For many patients with elevated BMIs, weight loss of 3–5% can reduce steatosis, 7% weight loss can result in MASH regression, and 10% weight loss can lead to fibrosis regression [12].

The recent Federal Drug Administration (FDA) approval of Rezdiffra™ (resmetirom) has reinvigorated conversations amongst stakeholders across the care continuum who are eager to identify opportunities to proactively diagnose, risk stratify, and refer patients at-risk of progression to inflammation and fibrosis [13]. It is essential that MASH care pathways are implemented now to accelerate the adoption of guidelines and provide patients with access to appropriate treatment options earlier in their disease progression, when prevention of negative long-term outcomes is possible.

This study aimed to evaluate PCP awareness of existing MASLD care protocols and assess feasibility of real-world implementation of a consensus MASH care pathway within three U.S. health systems. Learnings from this paper could be used to consider future opportunities to optimize MASH care pathway implementation across various care delivery environments and encourage adoption of guidelines-based clinical care workflows. While the care pathway implementation pilot was deployed prior to the nomenclature changes presented by multinational liver societies in June 2023, the foundational structure of the pathway remains unchanged and has been updated to maintain relevance over time as guidelines (e.g., AACE, AASLD) continue to evolve. Additionally, 99% of clinical indicators for NAFLD meet MASLD criteria and it was determined that these terms can be used interchangeably [14].

Methods

Consensus care pathway development

In November 2021, an expert panel of six hepatologists convened to develop a consensus care pathway for MASLD/MASH based upon guidelines and literature available at the time. The expert panel included hepatologists from leading health systems representing over approximately 6.9 million lives across the United States including Cedars Sinai Medical Center (Los Angeles, CA), the Central Virginia VA (Richmond, VA), Methodist Health System (Dallas, TX), Mount Sinai Health System (New York, NY), and Ochsner Health (New Orleans, LA). The panel reviewed pre-existing literature, including AASLD and AGA guidelines available at the time, and convened during a 2-h hybrid meeting to discuss challenges and gaps within MASH care delivery, optimal state care pathways, and the role of biomarkers in future MASH care pathways. Following the roundtable meeting, a draft pathway was developed for panel review. Panel feedback was gathered via ad hoc calls and email correspondence, and over the course of 2–3 months the pathway was refined until all panel participants confirmed consensus with the pathway to be piloted. The pathway was then reviewed post pilot implementation by the panel for relevancy given evolving U.S. guidelines and implementation considerations captured.

Implementation pilot design

An educational intervention to implement this pathway was piloted across three health systems from 2022 – 2023: Boston Medical Center (Boston, MA), Methodist Health System (Dallas, TX), and Weill Cornell Medicine (New York, NY). These three institutions were selected for their geographic diversity, differences in patient populations served, varying levels of access to non-invasive diagnostics, and PCP willingness to engage. Prior to deploying the intervention, a study protocol was jointly developed by these sites and reviewed by their respective research offices, before receiving an exemption from WCG-IRB.

Settings & participants

The intervention involved the respective principal investigators (PI) conducting an educational session for five to nine primary care practitioners (PCPs) at each pilot site selected via convenience sampling. PCPs were defined as clinicians (MDs, DOs), nurse practitioners (APRN-NP, FNP, ANP, CNP) or physician assistants (PA, PA-C) who were licensed to provide primary care services to patients. Each system conducted one educational session either in-person or virtually (depending upon system preference & COVID guidelines).

Intervention

Education was presented utilizing a standardized 30-slide education deck, followed by a Q&A session. Educational content included background information on MASLD/MASH burden of disease & common comorbidities, disease staging information, common clinical characteristics, guideline recommendations, the consensus care pathway overview, and information on each of the non-invasive diagnostics included within the pathway. Educational content was developed based upon Investigator input on potential educational gaps for PCPs given past experience or frequently asked questions.

Data collection & analysis

Provider surveys were jointly created by the Investigators and NASHNET staff with the intent to capture qualitative and quantitative data relating to provider awareness of the disease, guidelines-recommended use of non-invasive tests (NITs), and self-reported process measures relating to the care pathway adoption. Survey questions were crafted leveraging a mix of Likert scale, ranking, and open response question types and validated by Investigators. The surveys were deployed at baseline, 2-months post intervention, and 4-months post intervention to evaluate PCP understanding of MASLD/MASH prevalence, risk stratification and referral criteria, appropriate use of non-invasive diagnostics, and adherence to the consensus care pathway over time. Responses were captured via an electronic survey platform. No further proactive education was provided to pilot participants, but participants were encouraged to reach out to the Investigators/their fellow hepatologists with relevant questions. Table 1 illustrates the baseline and follow-up survey questions. Of note, at the time of pilot implementation, the MASLD/MASH nomenclature was not yet widely accepted. While the survey assessments were deployed using the NAFLD/NASH nomenclature, discussion of results will utilize MASLD/MASH nomenclature.

Table 1 Baseline & follow up survey questions

Results

Adapting guidelines to real-world settings

The expert panel of hepatologists defined the following consensus MASH care pathway (Fig. 1) as well as the associated decision criteria and implementation considerations (Table 2). The care pathway has been updated to account for the updated MASLD/MASH nomenclature. The panel recommended refinements to the AGA care pathway, including stepwise utilization of FIB-4 followed by ELF (if available) followed by VCTE (if available). Utilization of a second-tier blood-based diagnostic within the primary care environment was recommended to decrease the number of indeterminate patients recommended for referral to VCTE, which is primarily available within hepatology practice settings.

Fig. 1
figure 1

Consensus MASH care pathwayFIB-4: < 1.3 (low), 1.3 – 2.67 indeterminate, > 2.67 high; ELF: < 9.8 (low), ≥ 9.8 (high). Note: Care pathway above was developed and disseminated prior to the nomenclature change in 2023

Table 2 Pathway Decision Node Criteria & Implementation Considerations

The consensus care pathway was then deployed across three pilot sites. Twenty-one providers participated in the baseline assessment, including five participants from BMC, nine participants from Methodist Health System, and seven participants from Weill Cornell Medicine. Two baseline surveys were excluded from the analysis, as they were gastroenterology fellows and not the primary focus of the intervention. Eighteen respondents were primary care physicians and one respondent was a primary care nurse practitioner. Of the 19 eligible respondents, 21% have been practicing for < 5 years, 42% have been practicing for 5–20 years, and 37% have been practicing for > 20 years. The follow-up surveys administered 2 months and 4 months after the initial intervention were completed by 9 and 15 eligible participants, respectively.

Awareness of existing protocols

While all respondents at baseline agreed or strongly agreed that MASLD is a highly prevalent disease, only 32% (n = 6) felt they had received sufficient training on when to refer to hepatology, and 37% (n = 7) felt they had received sufficient training on the appropriate use of non-invasive tests (NITs) to inform MASLD/MASH referral decisions.

79% (n = 15) were unsure or did not believe their institution had a formal referral protocol for patients suspected of MASLD/MASH. Within the past month, 47% (n = 9) had not referred any patients suspected of MASLD/MASH to hepatology, 37% (n = 7) indicated they referred between 1–10% of their patients to hepatology for suspected MASLD/MASH, and 16% (n = 3) indicated they referred > 10% of their patients to hepatology for suspected MASLD/MASH.

While there was consensus among participants that liver enzymes were the first step to determining if a patient was at risk of MASLD/MASH, there was a lack of consensus amongst participants regarding the next step of the referral protocol, with 81% believing that an elevated FIB-4 (> 1.3) would be the next step, and 24% believing referral to hepatology would be the next step. The full breakdown of the baseline responses is included in Fig. 2.

Fig. 2
figure 2

Order of MASH diagnostics in referral pathway by baseline responses. ELF: Enhanced Liver Fibrosis; FIB-4: Fibrosis-4; VCTE: Vibration-controlled transient elastography

Both the 2- and 4-month surveys reaffirmed that 100% of participants who completed the follow up surveys agree or strongly agree that MASLD is a highly prevalent disease. From baseline to 4-months, the percent of participants who either agreed or strongly agreed that they had received sufficient training on when to refer a patient suspected of MASLD/MASH to hepatology increased from 32 to 80%, with zero participants indicating they disagreed or strongly disagreed with the statement.

From baseline to 4-month follow up results, there was a 26% increase in self-reported adherence to the institution’s referral guidelines, and in the same time frame, the proportion of participants who reported calculating a FIB-4 score within the past 12-months rose from 53 to 73%. Results are summarized in Table 3.

Table 3 Summary of baseline and 4-month follow up participant responses

Factors impacting care pathway adoption

At baseline, participants noted that factors that may cause them to change the order of modalities used in screening patients for MASLD/MASH included: test availability (n = 7), further provider education/understanding of tests (n = 3), patient motivation/interest in further workup (n = 2), test coverage/cost (n = 2), ease of interpretation (n = 1), and access to studies (n = 1). One participant did not select any factors (n = 1).

Since the pilot institutions did not have pre-existing policies or formalized care pathways in place, follow-up feedback from participants regarding their experience with pathway implementation and factors impacting adoption was captured at the 2- and 4-month intervals in Table 4.

Table 4 Summary of aggregated follow-up respondent feedback on care pathway implementation

Discussion

The baseline survey, distributed pre-education, highlighted a significant gap between understanding disease prevalence and hepatology referrals. Although participating PCPs recognize the high prevalence of MASLD, there remains a gap in translating this awareness into referrals to hepatology. A possible contributing factor to this finding is the limited proportion of participants who felt they had received sufficient training regarding appropriate referral practices for a patient suspected of MASLD/MASH. The gap was further reinforced by PCPs indicating a need for increased education and awareness regarding tools available to them to self-manage MASLD/MASH patients in primary care, risk stratify, and refer to hepatology as needed. Spann, et al. also highlight a lack of non-invasive screening availability within some primary care populations, which can hinder appropriate referrals [15].

Follow-up assessments after the intervention indicate that while education and application of the MASH care pathway to clinical workflows led to an increase in the number of referrals, barriers to implementation persist. Provider understanding of the high prevalence of MASLD remained steady, and confidence in their NIT utilization and hepatology referral improved. Participants listed barriers to adoption, including overall unfamiliarity regarding the protocol, excessive time associated with manually calculating a FIB-4 score, difficulty ordering non-invasive tests (e.g., FibroScan) within the electronic health record (EHR), and unclear insurance coverage. While insurance coverage of non-invasive diagnostics is likely to evolve once MASH therapeutics become available, respondent feedback indicates further action is needed across the clinical community to integrate tools to enable adoption of MASH care pathways within electronic workflows. Building out clinical decision support (CDS) enabled tools may facilitate the accelerated adoption of MASH care pathways. These tools could include auto-generating FIB-4 scores for patients with risk factors indicated in their problem lists, establishing a FIB-4 order set, considering reflexive test ordering, and/or creating a checklist within the EHR for clinicians to easily order second-line diagnostics or refer to hepatology. Continued research is needed to generate evidence demonstrating the impact of MASLD/MASH care pathways on long-term clinical outcomes as well as adoption across a broader PCP community.

The MASLD consensus care pathway was developed recognizing a need to accelerate the timeline between the release of guidelines and application of evidence-based care to health system workflows. The pathway was built upon the foundation set by the AGA care pathway and refined as additional U.S. professional associations (e.g., AACE, AASLD) released updated guidelines over time. The expert panel discussion illuminated many challenges and opportunities relating to the screening, identification, stratification, and management of NAFLD/NASH, including:

Challenges:

  • Lack of clear screening and referral guidelines

  • Limited insurance coverage of non-invasive diagnostics

  • Lack of buy-in outside of the hepatology community (e.g., administration) regarding the importance of improved metabolic care

  • Possibility of patients opting out of liver biopsy where recommended, despite being gold standard for diagnosis

  • Heterogeneity of populations, diagnostic availability, variability in testing results.

Opportunities:

  • Multidisciplinary clinician engagement

  • NIT strategy alignment

  • Care pathway integration into electronic workflows

  • Evidence generation supporting implementation of care pathways

Expert panelists highlighted the importance of ensuring the care pathway is simple but provides some flexibility for screening and diagnosis to account for regional access to diagnostics and variances in patient population and care delivery archetype. Previous studies have highlighted the need for and efficacy of risk stratifying patients in primary care by deploying NITs, especially FIB-4, in a multi-tiered approach to streamline referrals to hepatology [16,17,18]. Recognizing the importance of delaying disease progression, the consensus care pathway is intended to help PCPs understand the role they can play in MASH care delivery. However, this paper is one of the first to assess a proposed MASH care pathway with a focus on PCPs and demonstrates how provider education is a key part of a multi-strategy pathway.

With therapeutics anticipated to be available within the U.S. in 2024, this presents an opportunity to raise awareness of MASLD/MASH, improve early detection and diagnosis, and link patients to appropriate care, whether it be continued management in primary care, lifestyle intervention, referral to hepatology, therapeutic intervention (once available), or a combination.

Limitations to this pilot initiative included the participant sample size and follow-up data gathered. While the Investigators anticipate the educational intervention will translate to larger group learning settings (e.g., grand rounds), this intervention was conducted within smaller group settings. Thus, there is potential bias introduced from the participant sample size, as primarily providers with an existing interest in steatotic liver disease may have chosen to participate. Additionally, this pilot focused on a survey follow-up period of 4 months. To demonstrate long-term knowledge retention beyond that, additional investigation would be required. Another limitation to acknowledge is that no objective data collection (e.g., audits of medical records) was performed to verify clinician self-reported adherence or patient attendance of follow up appointments. Future research may consider including perspectives from patient-advocates and including PCPs in the design and planning processes.

Conclusion

This pilot study demonstrated gaps in PCP knowledge which were addressed with education. It also demonstrated improved clinician confidence in identifying, risk stratifying, and referring patients with MASLD/MASH. While some barriers relating to diagnostic access and ability to make time for care pathway interventions during a busy PCP visit persist, the authors hypothesize that many of these adoption challenges can be overcome with the integration of MASH care pathways within the EHR, streamlining the provider experience and simplifying actions required to maintain pathway adherence. Additional evidence generation is needed to demonstrate the impact of care pathway implementation on clinical care outcomes across a wider range of care delivery settings.

Availability of data and materials

The datasets used and/or analyzed during this study are housed on a third-party website and are available from the corresponding author on reasonable request.

Abbreviations

AACE:

American Association of Clinical Endocrinology

AASLD:

American Association for the Study of Liver Disease

ADA:

American Diabetes Association

AGA:

American Gastroenterological Association

BMC:

Boston Medical Center

CDS:

Clinical decision support

EHR:

Electronic health record

ELF:

Enhanced Liver Fibrosis

HCC:

Hepatocellular carcinoma

LFTs:

Liver function tests

MASH:

Metabolic dysfunction-associated steatohepatitis

MASLD:

Metabolic dysfunction-associated liver disease

MRE:

Magnetic resonance elastography

NAFLD:

Nonalcoholic fatty liver disease

NASH:

Nonalcoholic steatohepatitis

NITs:

Non-invasive tests

PCPs:

Primary care providers

PI:

Principal investigator

VTCE:

Vibration-controlled transient elastography

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Acknowledgements

Not applicable.

Funding

Funding for this initiative was provided by Novo Nordisk, Inc. Members of the Novo Nordisk, Inc. Medical Affairs team were silent attendees to consensus discussions and did not contribute to the study design, conduct, or analysis.

Author information

Authors and Affiliations

Authors

Contributions

PM, MN, GT, DD, NG, and MF participated in the expert advisory panel and pathway development. SK, RS, AM, MH, and PM were responsible for pilot execution at their respective sites. SK, AM, MH, RS, KC, MS, and MF made significant contributions to the writing of the manuscript. KC and MS analyzed the results. All authors reviewed and approved the manuscript.

Corresponding author

Correspondence to Mohanish Savanth.

Ethics declarations

Ethics approval and consent to participate

The protocol was submitted to the WCG IRB and local review boards. The WCG IRB issued a statement of exemption under 45 CFR § 46.104(d)(1) because the research is conducted in established or commonly accepted educational settings and the research specifically involves normal educational practices that are not likely to adversely impact students’ opportunity to learn required educational content or the assessment of educators who provide instruction. As such, the requirement for consent to participate was waived (for reference: work order #1–1557082-1).

Consent for publication

Not applicable.

Competing interests

Potential competing interests of the authors are disclosed as follows - SK reported receiving funding as a principal investigator for various clinical studies supported by Novo Nordisk, Inc., Gilead Sciences, Intercept Pharmaceuticals, CymaBay Therapeutics, Ipsen, Madrigal Pharmaceuticals; and as a speaker for events supported by Gilead Sciences, Ipsen, Novo Nordisk, Intercept Pharmaceuticals. AM reported receiving grant funding from Gilead Sciences and The Kinetix Group; and as a principal investigator for various studies supported by Novo Nordisk, Inc., Intercept Pharmaceuticals, and Inventiva Pharma; and for serving on an advisory board supported by Gilead Sciences. RS reported receiving compensation for serving on scientific advisory boards supported by Miromatrix Inc. and Lime Therapeutics; and a paid consultant and speaker for Alnylam Inc. GT reported receiving compensation as a participant in multiple advisory boards supported by Novo Nordisk. MN reported receiving compensation as a participant on advisory boards supported by Altimmune, Boehringer Ingelheim, CytoDyn, Corcept Therapeutics, 89BIO Inc, GSK, Madrigal Pharmaceuticals, Merck, Novo Nordisk, Inc., NorthSea Therapeutics, Terns Pharmaceuticals, and Takeda Pharmaceuticals; and as a principal investigator for studies supported by Allergan, Akero Therapeutics, BMS, Gilead Sciences, Galectin Therapeutics, Genfit, GSK, Conatus, Corcept Therapeutics, Enanta Pharmaceuticals, Madrigal Pharmaceuticals, Novartis, Novo Nordisk, Inc., Shire, Takeda Pharmaceuticals, Terns Pharmaceuticals, Viking, and Zydus; and reported being a stockholder in Rivus Pharma, CIMA, CytoDyn, and ChronWell, Inc. DD reported receiving compensation as a consultant for Novo Nordisk, Inc.; and as a speaker for events supported by Intercept Pharmaceuticals. NG reported receiving compensation as a participant of the speakers bureau supported by Gilead Sciences. KC and MS reported being employed by NASHNET/The Kinetix Group. No other disclosures were reported.

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Kumar, S., Mohanty, A., Mantry, P. et al. Deploying a metabolic dysfunction-associated steatohepatitis consensus care pathway: findings from an educational pilot in three health systems. BMC Prim. Care 25, 265 (2024). https://doi.org/10.1186/s12875-024-02517-y

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