A Decade of Health Innovation: The Impact of New Medicines on Patient Health and the Implications for NICE's Size of Benefit Multiplier.

OBJECTIVES: This study aimed to estimate the incremental health benefits of pharmaceutical innovations approved between 2011 and 2021 and the share that would surpass the National Institute for Health and Care Excellence (NICE) "size of benefit" decision weight thresholds. METHODS: We identified all US-approved drugs between 2011 and 2021. Health benefits, in terms of quality-adjusted life-years (QALYs) for each treatment, were extracted from published cost-effectiveness analyses. Summary statistics by therapeutic area and cell/gene therapy status identified the treatments with the largest QALY gains. RESULTS: The Food and Drug Administration approved 483 new therapies between 2011 and 2021 and of these 252 had a published cost-effectiveness analysis meeting our inclusion criteria. The average incremental health benefits produced by these treatments were 1.04 QALYs (SD = 2.00) relative to standard of care, with wide variation by therapeutic area. Pulmonary and ophthalmologic therapies produced the highest health benefits with 1.47 (SD = 2.17, n = 13) and 1.41 QALYs gained (SD = 3.53, n = 7), respectively; anesthesiology and urology had the lowest gains (< 0.1 QALYs). Cell and gene therapies produced an average health benefit that was 4 times greater than noncell and gene therapies (4.13 vs 0.96). Among the top treatments in terms of incremental QALYs gained, half (10 of 20) were oncology therapies. Three of 252 treatments (1.2%) met NICE's threshold for a "size of benefit" multiplier. CONCLUSIONS: Treatments for rare disease, oncology, and cell and gene therapies produced some of the highest level of health innovation relative to previous standard of care, but few therapies would have qualified for NICE's "size of benefit" multiplier as currently constructed.

Conceptualizing and Measuring Abatement from the Opioid Epidemic: A Case Study from Pennsylvania.

Policy Points In 2021, four major pharmaceutical manufacturers and distributors reached a proposed settlement agreement with 46 state Attorneys General of $26 billion to address their liabilities in fueling the US opioid epidemic. It raises important questions about abatement conceptualization and measurement for allocating settlement funds among substate entities. We outline the political economy tensions undergirding the settlement and allocation, introduce an abatement conceptual framework, describe how an abatement formula was developed for Pennsylvania to allocate settlement funds, and summarize considerations for future settlement allocation efforts. Documenting the challenges and experiences of this task is essential to inform future efforts.

The Pennsylvania Rural Health Model: Hospitals' Early Experiences With Global Payment for Rural Communities.

GOAL: In January 2019, the first cohort of rural hospitals began to operate under the Pennsylvania Rural Health Model for all-payer prospective global budget reimbursement as part of a demonstration funded by the Center for Medicare and Medicaid Innovation. Using information from primary source documents and interviews with key stakeholders, we sought to identify challenges and lessons learned throughout the design, development, and early implementation stages of the model. METHODS: We relied on two qualitative research approaches: (1) review of primary source documents such as peer-reviewed publications and news accounts related to the model and (2) semistructured interviews with key staff and stakeholders, including current and former members of the Pennsylvania Department of Health, first-year applicant hospitals, technical assistance providers, and members of state and federal organizations and agencies familiar with the Pennsylvania and Maryland payment reform efforts for rural health and rural hospitals (N = 20). PRINCIPAL FINDINGS: We identified four primary attributes that innovative projects such as the model need: (1) a champion at the state and hospital level, significant cooperation across state agencies and between federal and state agencies, and support from nongovernment stakeholders; (2) ongoing engagement and education of all stakeholders, particularly related to rural health disparities, the challenges faced by rural hospitals (especially resource limitations), and the differences between rural and urban health and health service delivery; (3) realistic time lines, noting that stakeholder relationships with hospital leadership develop over many months; and (4) multistakeholder collaboration, because participating hospitals must have ongoing engagement with community members (i.e., consumers of healthcare), nonacute community partners, and other rural hospitals to foster a "rural health movement." APPLICATIONS TO PRACTICE: A successful Pennsylvania model holds promise for other states seeking to address the needs of rural populations and the hospitals that are vital to those communities. The lessons in this article can assist others in making the transition from volume to value in rural healthcare.

The Association Between Preference Satisfaction and Satisfaction with Overall Care for Nursing Home Residents.

The Centers for Medicare and Medicaid Services mandate the provision of person-centered care (PCC), but there is limited evidence on how PCC impacts nursing home (NH) residents' care experiences. This study examined the relationship between n = 163 NH residents' ratings of satisfaction with care related to their preferences and their satisfaction with overall care. Residents with higher preference satisfaction ratings reported significantly higher levels of satisfaction with overall care. Using preference satisfaction ratings has the potential to improve PCC planning and delivery in nursing homes.

Consumer Use of Provider Quality Report Cards: The Role of Dissemination and Media Coverage.

OBJECTIVE: The objective of this study was to measure the dissemination of comparative provider quality information (CPQI) and evaluate its impact on consumers' awareness and use of CPQI. DATA SOURCES: Two-period, random-digit-dial panel survey of chronically ill consumers residing in 14 regions of the United States; summaries of CPQI dissemination activities of regional multistakeholder alliances; and the LexisNexis Academic and Access World News databases. STUDY DESIGN/METHODS: Fixed effects regression to isolate the effect of CPQI producers' dissemination activities and the print media's CPQI coverage on chronically ill consumers' self-reported awareness and use of CPQI. PRINCIPAL FINDINGS: Direct CPQI dissemination had no overall effect on either awareness or use of CPQI. One unit increase in the media coverage of an Aligning Forces for Quality (AF4Q) multistakeholder alliance report increased consumer awareness and use of CPQI by 1.4 percentage points (P=0.049) and 1.1 percentage points (P=0.009), respectively. Similar increases for the Centers for Medicare and Medicaid Services (CMS) CPQI and for the nonalliance, non-CMS CPQI improved CPQI use by 1.6 percentage points (P<0.001) and 0.2 percentage points (P=0.041), respectively. CONCLUSION: Even though CPQI producers' direct dissemination efforts had little impact, the small but significant consumer impacts of CPQI's limited press coverage suggests that limited use of media in the dissemination of report cards may be a significant factor behind low consumer awareness and use.

Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014-2016.

BACKGROUND: Computerized provider order entry (CPOE) can help providers deliver better quality care. We aimed to understand recent trends in use of CPOE by health system-affiliated ambulatory clinics. METHODS: We analyzed longitudinal data (2014-2016) for 19,109 ambulatory clinics that participated in all 3 years of the Healthcare Information and Management Systems Society Analytics survey to assess use of CPOE and identify characteristics of clinics associated with CPOE use. We calculated descriptive statistics to examine overall trends in use, location of order entry (bedside vs. clinical station), and system-level use CPOE across all clinics. We used linear probability models to explore the association between clinic characteristics (practice size, practice type, and health system type) and two outcomes of interest: CPOE use at any point between 2014 and 2016, and CPOE use beginning in 2015 or 2016. RESULTS: Between 2014 and 2016, use of CPOE increased more than 9 percentage points from 58 to 67%. Larger clinics and those affiliated with multi-hospital health systems were more likely to have reported use of CPOE. We found no difference in CPOE use by primary care versus specialty care clinics. When used, most clinics reported using CPOE for most or all of their orders. Health systems that used CPOE usually did so for all system-affiliated clinics. CONCLUSIONS: Small practice size or not being part of a multi-hospital system are associated with lower use of CPOE between 2014 and 2016. Less than optimal use in these environments may be harming patient outcomes.

Revenue Losses to State and Federal Government From Opioid-related Employment Reductions.

OBJECTIVE: The main purpose of this study was to estimate the tax revenue lost by state and federal governments as a result of adverse labor market outcomes attributable to opioid misuse. METHODS: We pair existing, plausibly causal estimates of the effect of opioid misuse on the decline in the labor force from 2000 to 2016 with a variety of data sources to compute tax revenues lost by state and federal governments using the online TAXSIM calculator. RESULTS: We find that between 2000 and 2016, opioid misuse cost state governments $11.8 billion, including $1.7 billion in lost sales tax revenue and $10.1 billion in lost income tax revenue. In addition, the federal government lost $26.0 billion in income tax revenue. CONCLUSIONS: By omitting lost tax revenue due to labor force exits, prior studies have missed an important component of opioid-related costs borne by state and federal governments. POLICY IMPLICATIONS: As more states and the federal government contemplate litigation for opioid-related damages, lost tax revenue represents an important cost that could be recouped and allocated to opioid prevention and treatment programs.

Value-Based Payments and Incentives to Improve Care: A Case Study of Patients with Type 2 Diabetes in Medicare Advantage.

OBJECTIVES: To estimate the impact of increased glycated hemoglobin (A1C) monitoring and treatment intensification for patients with type 2 diabetes (T2D) on quality measures and reimbursement within the Medicare Advantage Star (MA Star) program. METHODS: The primary endpoint was the share of patients with T2D with adequate A1C control (A1C ≤ 9%). We conducted a simulation of how increased A1C monitoring and treatment intensification affected this end point using data from the National Health and Nutrition Examination Survey and clinical trials. Using the estimated changes in measured A1C levels, we calculated corresponding changes in the plan-level A1C quality measure, overall star rating, and reimbursement. RESULTS: At baseline, 24.4% of patients with T2D in the average plan had poor A1C control. The share of plans receiving the highest A1C rating increased from 27% at baseline to 49.5% (increased monitoring), 36.2% (intensification), and 57.1% (joint implementation of both interventions). However, overall star ratings increased for only 3.6%, 1.3%, and 4.8% of plans, respectively, by intervention. Projected per-member per-year rebate increases under the MA Star program were $7.71 (monitoring), $2.66 (intensification), and $10.55 (joint implementation). CONCLUSIONS: The simulation showed that increased monitoring and treatment intensification would improve A1C levels; however, the resulting average increases in reimbursement would be small.

Making sense of "consumer engagement" initiatives to improve health and health care: a conceptual framework to guide policy and practice.

CONTEXT: Policymakers and practitioners continue to pursue initiatives designed to engage individuals in their health and health care despite discordant views and mixed evidence regarding the ability to cultivate greater individual engagement that improves Americans' health and well-being and helps manage health care costs. There is limited and mixed evidence regarding the value of different interventions. METHODS: Based on our involvement in evaluating various community-based consumer engagement initiatives and a targeted literature review of models of behavior change, we identified the need for a framework to classify the universe of consumer engagement initiatives toward advancing policymakers' and practitioners' knowledge of their value and fit in various contexts. We developed a framework that expanded our conceptualization of consumer engagement, building on elements of two common models, the individually focused transtheoretical model of behavior and the broader, multilevel social ecological model. Finally, we applied this framework to one community's existing consumer engagement program. FINDINGS: Consumer engagement in health and health care refers to the performance of specific behaviors ("engaged behaviors") and/or an individual's capacity and motivation to perform these behaviors ("activation"). These two dimensions are related but distinct and thus should be differentiated. The framework creates four classification schemas, by (1) targeted behavior types (self-management, health care encounter, shopping, and health behaviors) and by (2) individual, (3) group, and (4) community dimensions. Our example illustrates that the framework can systematically classify a variety of consumer engagement programs, and that this exercise and resulting characterization can provide a structured way to consider the program and how its components fit program goals both individually and collectively. CONCLUSIONS: Applying the framework could help advance the field by making policymakers and practitioners aware of the wide range of approaches, providing a structured way to organize and characterize interventions retrospectively, and helping them consider how they can meet the program's goals both individually and collectively.

The Sexual Assault Forensic Examination Telehealth (SAFE-T) Center: A Comprehensive, Nurse-led Telehealth Model to Address Disparities in Sexual Assault Care.

BACKGROUND: Rural and underserved communities often struggle to provide access to specialized health care, including sexual assault care. Telehealth is an effective solution for providing access to an array of specialized health care services. Prior sexual assault telehealth programs have provided evidence that telehealth is a feasible and acceptable solution. However, there is scant information about program development and considerations in the literature to guide those who may seek to implement a sexual assault telehealth program in their communities. PURPOSE: The purpose of this paper is to describe the Sexual Assault Forensic Examination Telehealth (SAFE-T) Center-a nurse-led model for providing comprehensive, high-quality sexual assault care in rural and underserved communities recently implemented at 3 hospitals in rural Pennsylvania. METHODS: Using the program's logic model, we present our community-engaged approach to the development and implementation phases of the SAFE-T Center. FINDINGS: We first describe how academic researchers partnered with multiple stakeholders to form a statewide advisory board and articulated a vision and mission for the SAFE-T Center that meets the needs of local communities. We then describe the overall design of the model, how it was informed by this academic-community partnership, and how each element relates to anticipated outcomes. We also present our plans for program evaluation, expansion, and sustainability. CONCLUSION: This detailed description of collaborative partnership, coalition-building, program design and implementation can serve as a guide for hospitals and health systems seeking to implement telehealth programs to improve the care provided to survivors of sexual assault.

The Implementation of the Sexual Assault Forensic Examination Telehealth Center: A Program Evaluation.

INTRODUCTION: Substantial disparities in the quality of post-sexual-assault (SA) care exist in the United States, particularly in rural areas. This study evaluates the implementation of the Sexual Assault Forensic Examination Telehealth Center, a program to improve SA care by increasing access to experienced sexual assault nurse examiners via telehealth, in three rural hospitals. MATERIALS AND METHODS: The Dynamic Sustainability Framework (DSF) guided the implementation of the intervention. Survey and implementation data were evaluated 1 year after implementation using a nonexperimental pre-post design. Outcomes include patient and nurse perceptions of telehealth, local site nurse (LSN) confidence, and hospital protocol/policy changes. RESULTS: Forty-one telehealth consultations were completed in the program's first year. An average of 34 system-level protocol changes were made per site. LSNs demonstrated statistically significant increases in confidence to provide SA care at 1 year. LSNs and telehealth sexual assault nurse examiners (expert consultants) reported that quality of SA care improved (87% and 83%, respectively). Patients highly rated the care they received (83%), reported telehealth improved care (78%), and reported feeling better after the examination (74%). DISCUSSION: Using the DSF for implementation supported a tailored approach and successful adoption and also allowed for program iteration based on lessons learned. CONCLUSIONS: The Sexual Assault Forensic Examination Telehealth model resulted in improved local nurse confidence in provision of SA care, nurse perception of improvement in care quality, and high patient care experience ratings. These findings and the use of the DSF have implications for SA specialty care implementation in rural communities.

Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?

OBJECTIVE: We quantify the use of clinical decision support (CDS) and the specific barriers reported by ambulatory clinics and examine whether CDS utilization and barriers differed based on clinics' affiliation with health systems, providing a benchmark for future empirical research and policies related to this topic. MATERIALS AND METHODS: Despite much discussion at the theoretic level, the existing literature provides little empirical understanding of barriers to using CDS in ambulatory care. We analyze data from 821 clinics in 117 medical groups, based on in Minnesota Community Measurement's annual Health Information Technology Survey (2014-2016). We examine clinics' use of 7 CDS tools, along with 7 barriers in 3 areas (resource, user acceptance, and technology). Employing linear probability models, we examine factors associated with CDS barriers. RESULTS: Clinics in health systems used more CDS tools than did clinics not in systems (24 percentage points higher in automated reminders), but they also reported more barriers related to resources and user acceptance (26 percentage points higher in barriers to implementation and 33 points higher in disruptive alarms). Barriers related to workflow redesign increased in clinics affiliated with health systems (33 points higher). Rural clinics were more likely to report barriers to training. CONCLUSIONS: CDS barriers related to resources and user acceptance remained substantial. Health systems, while being effective in promoting CDS tools, may need to provide further assistance to their affiliated ambulatory clinics to overcome barriers, especially the requirement to redesign workflow. Rural clinics may need more resources for training.

Assessment of Variation in Electronic Health Record Capabilities and Reported Clinical Quality Performance in Ambulatory Care Clinics, 2014-2017.

Importance: Electronic health records (EHRs) are widely promoted to improve the quality of health care, but information about the association of multifunctional EHRs with broad measures of quality in ambulatory settings is scarce. Objective: To assess the association between EHRs with different degrees of capabilities and publicly reported ambulatory quality measures in at least 3 clinical domains of care. Design, Setting, and Participants: This cross-sectional and longitudinal study was conducted using survey responses from 1141 ambulatory clinics in Minnesota, Washington, and Wisconsin affiliated with a health system that responded to the Healthcare Information and Management Systems Society Annual Survey and reported performance measures in 2014 to 2017. Statistical analysis was performed from July 10, 2019, through February 26, 2021. Main Outcomes and Measures: A composite measure of EHR capability that considered 50 EHR capabilities in 7 functional domains, grouped into the following ordered categories: no functional EHR, EHR underuser, EHR, neither underuser or superuser, EHR superuser; as well as a standardized composite of ambulatory clinical performance measures that included 3 to 25 individual measures (median, 13 individual measures). Results: In 2014, 381 of 746 clinics (51%) were EHR superusers; this proportion increased in each subsequent year (457 of 846 clinics [54%] in 2015, 510 of 881 clinics [58%] in 2016, and 566 of 932 clinics [61%] in 2017). In each cross-sectional analysis year, EHR superusers had better clinical quality performance than other clinics (adjusted difference in score: 0.39 [95% CI, 0.12-0.65] in 2014; 0.29 [95% CI, -0.01 to 0.59] in 2015; 0.26 [95% CI, -0.05 to 0.56] in 2016; and 0.20 [95% CI, -0.04 to 0.45] in 2017). This difference in scores translates into an approximately 9% difference in a clinic's rank order in clinical quality. In longitudinal analyses, clinics that progressed to EHR superuser status had only slightly better gains in clinical quality between 2014 and 2017 compared with the gains in clinical quality of clinics that were static in terms of their EHR status (0.10 [95% CI, -0.13 to 0.32]). In an exploratory analysis, different types of EHR capability progressions had different degrees of associated improvements in ambulatory clinical quality (eg, progression from no functional EHR to a status short of superuser, 0.06 [95% CI, -0.40 to 0.52]; progression from EHR underuser to EHR superuser, 0.18 [95% CI, -0.14 to 0.50]). Conclusions and Relevance: Between 2014 and 2017, ambulatory clinics in Minnesota, Washington, and Wisconsin with EHRs having greater capabilities had better composite measures of clinical quality than other clinics, but clinics that gained EHR capabilities during this time had smaller increases in clinical quality that were not statistically significant.

A report card on provider report cards: current status of the health care transparency movement.

BACKGROUND: Public reporting of provider performance can assist consumers in their choice of providers and stimulate providers to improve quality. Reporting of quality measures is supported by advocates of health care reform across the political spectrum. OBJECTIVE: To assess the availability, credibility and applicability of existing public reports of hospital and physician quality, with comparisons across geographic areas. APPROACH: Information pertaining to 263 public reports in 21 geographic areas was collected through reviews of websites and telephone and in-person interviews, and used to construct indicators of public reporting status. Interview data collected in 14 of these areas were used to assess recent changes in reporting and their implications. PARTICIPANTS: Interviewees included staff of state and local associations, health plan representatives and leaders of local health care alliances. RESULTS: There were more reports of hospital performance (161) than of physician performance (103) in the study areas. More reports included measures derived from claims data (mean, 7.2 hospital reports and 3.3 physician reports per area) than from medical records data. Typically, reports on physician performance contained measures of chronic illness treatment constructed at the medical group level, with diabetes measures the most common (mean number per non-health plan report, 2.3). Patient experience measures were available in more hospital reports (mean number of reports, 1.2) than physician reports (mean, 0.7). Despite the availability of national hospital reports and reports sponsored by national health plans, from a consumer standpoint the status of public reporting depended greatly on where one lived and health plan membership. CONCLUSIONS: Current public reports, and especially reports of physician quality of care, have significant limitations from both consumer and provider perspectives. The present approach to reporting is being challenged by the development of new information sources for consumers, and consumer and provider demands for more current information.

Tests, surgical masks, hospital beds, and ventilators: add big data to the list of tools to fight the coronavirus that are in short supply.

Big data could help identify potential clues about the immediate (and future) impact of coronavirus disease 2019, but it is in short supply.

Health information technology for ambulatory care in health systems.

OBJECTIVES: The adoption and use of health information technology (IT) by health systems in ambulatory care can be an important driver of care quality. We examine recent trends in health IT adoption by health system-affiliated ambulatory clinics in the context of the federal government's Meaningful Use and Promoting Interoperability programs. STUDY DESIGN: We analyzed a national sample of 17,861 ambulatory clinics affiliated with 1711 health systems, using longitudinal data (2014-2016) from the HIMSS Analytics annual surveys. METHODS: We used descriptive analyses and linear probability models to examine the adoption of electronic health records (EHRs), as well as 16 specific functionalities, at the clinic level and the system level. We compared the differential trends of adoption by various characteristics of health systems. RESULTS: We find that the adoption of an EHR certified by the Office of the National Coordinator for Health IT (ONC) increased from 73% to 91%. However, in 2016, only 38% of clinics reported having all 16 health IT functionalities included in this study. Small health systems lag behind large systems in ambulatory health IT adoption. Patient-facing functionalities were less likely to be adopted than those oriented toward physicians. Health information exchange capabilities are still low among ambulatory clinics, pointing to the importance of the ONC's recent Promoting Interoperability initiative. CONCLUSIONS: The relatively low uptake of health IT functionalities important to care improvement suggests substantial opportunities for further improving adoption of ambulatory health IT even among the current EHR users.

Landscape of Health Systems in the United States.

Despite the prevalence of vertical integration, data and research focused on identifying and describing health systems are sparse. Until recently, we lacked an enumeration of health systems and an understanding of how systems vary by key structural attributes. To fill this gap, the Agency for Healthcare Research and Quality developed the Compendium of U.S. Health Systems, a data resource to support research on comparative health system performance. In this article, we describe the methods used to create the Compendium and present a picture of vertical integration in the United States. We identified 626 health systems in 2016, which accounted for 70% of nonfederal general acute care hospitals. These systems varied by key structural attributes, including size, ownership, and geographic presence. The Compendium can be used to study the characteristics of the U.S. health care system and address policy issues related to provider organizations.

Are health systems redesigning how health care is delivered?

OBJECTIVE: To explore why and how health systems are engaging in care delivery redesign (CDR)-defined as the variety of tools and organizational change processes health systems use to pursue the Triple Aim. STUDY SETTING: A purposive sample of 24 health systems across 4 states as part of the Agency for Healthcare Research and Quality's Comparative Health System Performance Initiative. STUDY DESIGN: An exploratory qualitative study design to gain an "on the ground" understanding of health systems' motivations for, and approaches to, CDR, with the goals of identifying key dimensions of CDR, and gauging the depth of change that is possible based on the particular approaches to redesign care being adopted by the health systems. DATA COLLECTION: Semi-structured telephone interviews with health system executives and physician organization leaders from 24 health systems (n = 162). PRINCIPAL FINDINGS: We identify and define 13 CDR activities and find that the health systems' efforts are varied in terms of both the combination of activities they are engaging in and the depth of innovation within each activity. Health system executives who report strong internal motivation for their CDR efforts describe more confidence in their approach to CDR than those who report strong external motivation. Health system leaders face uncertainty when implementing CDR due to a limited evidence base and because of the slower than expected pace of payment change. CONCLUSIONS: The ability to validly and reliably measure CDR activities-particularly across varying organizational contexts and markets-is currently limited but is key to better understanding CDR's impact on intended outcomes, which is important for guiding both health system decision making and policy making.

Understanding how health systems facilitate primary care redesign.

OBJECTIVE: To understand how health systems are facilitating primary care redesign (PCR), examine the PCR initiatives taking place within systems, and identify barriers to this work. STUDY SETTING: A purposive sample of 24 health systems in 4 states. STUDY DESIGN: Data were systematically reviewed to identify how system leaders define and implement initiatives to redesign primary care delivery and identify challenges. Researchers applied codes which were based on the theoretical PCR literature and created new codes to capture emerging themes. Investigators analyzed coded data then produced and applied a thematic analysis to examine how health systems facilitate PCR. DATA COLLECTION: Semi-structured telephone interviews with 162 system executives and physician organization leaders from 24 systems. PRINCIPAL FINDINGS: Leaders at all 24 health systems described initiatives to redesign the delivery of primary care, but many were in the early stages. Respondents described the use of centralized health system resources to facilitate PCR initiatives, such as regionalized care coordinators, and integrated electronic health records. Team-based care, population management, and care coordination were the most commonly described initiatives to transform primary care delivery. Respondents most often cited improving efficiency and enhancing clinician job satisfaction, as motivating factors for team-based care. Changes in payment and risk assumption as well as community needs were commonly cited motivators for population health management and care coordination. Return on investment and the slower than anticipated rate in moving from fee-for-service to value-based payment were noted by multiple respondents as challenges health systems face in redesigning primary care. CONCLUSIONS: Given their expanding role in health care and the potential to leverage resources, health systems are promising entities to promote the advancement of PCR. Systems demonstrate interest and engagement in this work but face significant challenges in getting to scale until payment models are in alignment with these efforts.