Revisiting Structural Urbanism

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“Current models of health care funding, which treat health care as a service for an individual rather than as infrastructure for a population, are innately biased in favor of large populations.”

– Janice Probst, Jan Marie Eberth, and Elizabeth Crouch in Health Affairs, December 2019

Preface: Just as the COVID-19 infections began to spread in December 2019, a seminal article was published in Health Affairs, coining the term: structural urbanism.  

In the article Structural Urbanism Contributes to Poorer Health Outcomes for Rural America, the authors define structural urbanism as “elements of the current public health and health care systems that disadvantage rural communities.”

The COVID-19 pandemic consumed our attention for several years, contributing to changes in the way we think, teach, learn, work, and act on public policy. In the Spring of 2020, a series of police killings sparked national protests seeking greater racial equity and a governmental and corporate focus on racial justice. As rural hospital obstetric unit closures continued and Glenn Medical Center closed altogether in 2025, it has become more significant that the Partnership counties reframe the way we think about rural health policy.

To re-ground us in this reframing of rural health policy in February 2026, I present my January 2020 lead newsletter article on this topic, lightly edited and updated. The Health Affairs article referenced above is available online for free and is highly recommended for reading. The reflections below become an inspiration on how structural urbanism impacts Partnership and our rural clinicians and members.

Enjoy!

 

In January 2019, the California Department of Health Care Services (DHCS) decided that all providers that contract with Partnership HealthPlan of California and other Medi-Cal managed care plans must apply to the state of California and be accepted as official Medi-Cal providers. Previously, Partnership could contract with specialists outside the state in Oregon and Nevada, which is closer to our members that live in border counties. These out-of-state specialists are excellent physicians to partner with and are recognized by Medicare and the state Medicaid organizations in which they practiced. The DHCS decision was not required by the federal government, but it was based on administrative convenience. The needs of Medi-Cal beneficiaries in border regions were not considered sufficient enough to alter the policy.

This is an example of structural urbanism.

This can include policies and regulations, such as the rule on out-of-state specialists which limits access to care for those in rural communities.

It can also include the fee-for-service payment methodology, which pays hospitals based on volume. Smaller rural hospitals have far more fixed costs per admission, so an “equal” payment arrangement becomes a disadvantage for smaller rural hospitals, contributing to financial instability and hospital closures. This is yet another example of structural urbanism.

It can also extend to state grant programs, like the Public Hospital Redesign and Incentives in Medi-Cal (PRIME) program. This specific program designated payments to public hospitals, which are all situated in counties with large urban populations. While some version of this may be adapted to smaller counties, at best, only medium-sized counties have the infrastructure to access these funds, and yet again, serves as another example of structural urbanism.

Structural urbanism impacts county social services infrastructure which, in turn, affects health status.

Structural urbanism affects primary care access. National Health Service Corps loan repayment eligibility is dependent on the Health Professional Shortage Area score (HPSA score), which supposedly measures the relative need for physicians in a particular area. The score in parts of urban Los Angeles County is higher than many rural areas in Northern California. While urban health centers serving low-income areas need providers, the providers are able to commute from areas with higher average income. In contrast, rural California health centers need to convince new clinicians to move to a new area. The scoring methodology does not account for this, which is another example of structural urbanism.

Decades ago, sociologists coined the term “structural racism” to describe the historic, political, and social structures that perpetuate racial inequality. Structural racism contributes to persistent health disparities experienced by marginalized racial and ethnic communities. Opposition to a structural racism framework often centers on the belief that persistent inequities stem from individual choices, reflecting the assumption that personal motivation alone can overcome systemic barriers.

Racism is not always just structural, resulting from implicit bias, but is sometimes explicit. Similarly, we may encounter examples of explicit urbanism. Here are three examples:

With today’s political polarization and the increased association of rural areas with support of conservative voting patterns (including in California), some policymakers are explicit in not wanting to prioritize rural areas in any way due to political affiliations.

In the medical field, I have encountered Obstetrician / Gynecologist (OB/GYN) specialists and OB nurses who believe that becoming pregnant while living in rural areas is a high-risk choice for women rather than a policy challenge to rectify. (This explicit urbanism is not universal. Many other OB/GYN specialists and OB nurses have expressed understanding and support for policy and structural solutions to ensure rural OB services are available and safe given inevitable volume and distance influences.)

In state government, we have heard a policymaker remarking on rural specialty access challenges with the suggestion that people who need specialty care should move to large metropolitan areas (indicating a deep lack of commitment to restoring robust specialty access to rural areas).

There is a conceptual similarity between structural racism and structural urbanism. Health outcomes in rural populations have complex and interrelated structural factors. Are worse health outcomes due to the “choice” to live in rural areas? Are they due to poverty itself? If so, why do low-income populations in urban and suburban communities have better outcomes than low-income populations in rural areas? How does differential access to social services, charitable organizations, and health care providers associated with rural areas contribute to differential outcomes? These many factors are the manifestations of structural urbanism.

We can measure worse health outcomes in rural counties. Each year, after conducting our annual audit of the Health Effectiveness Data Information Set (HEDIS®), we stratify the results based on the demographic information we have available. Specifically, we are looking for different outcomes associated with any race, ethnic or language group, and geography. Since 2014, we have found outcomes vary by geography more than race, ethnic or language groups, with the exception of outcomes in the Black and Tribal populations.

Studies suggest rural health inequities are driven by several factors, including less availability of health care and social services, higher poverty levels, higher rates of substance use disorders (SUD), and different health beliefs and practices. These are incompletely balanced with resiliency factors associated with living in small, tighter knit communities.

HEDIS® outcomes in rural areas have improved gradually year over year, but the geographic disparities remain.

How do we achieve better outcomes for rural counties? How do we overcome structural urbanism?

The Health Affairs review article mentioned above has several recommendations:

Access: Maintain and increase availability of health care providers and institutions in rural areas.

Conceptualization: Change the conception of the provision of health in rural areas from being a service to being infrastructure. Decades ago, rural hospitals were funded by the federal government as infrastructure and were able to grow and thrive. Since the conversion to a fee-for-service environment, rural hospitals are closing and quality measures for rural hospitals (which previously were equal to urban hospitals, in aggregate) have steadily declined.

Resources: Additional financial resources can help reduce rural inequities. The National Health Service in England created such a financial redistribution method in the 1970s and 1980s to provide additional resources to rural areas, resulting in decreased access disparities from 22% to 6% in a 12- year period.

Partnership is dedicated to addressing structural urbanism at multiple levels: interventions to increase provider access; leveraging funding mechanisms to provide differential support to rural health care providers; and addressing social issues which impact health (like housing instability, substance use, and justice-involved status). We will also strive to give policy input and feedback from a rural perspective to DHCS and other state agencies, whenever possible.

Correcting many other contributors to structural urbanism will require legislative and regulatory changes at the state and federal levels. Defining a prioritized policy agenda will require us to work together with our partners in rural areas.

Acting on a rural policy agenda is challenging, as organizations working in rural areas often have fewer staff and less resources available to do advocacy compared to urban organizations. For example, compare the organizational structure and capacity of the Consortium of Clinics of Los Angeles County with the California State Rural Health Association (CSRHA). These differential capabilities are also examples of structural urbanism, but organizations representing rural health policy interests are arguably the key to changing the discussions around rural health.

We need organized, effective advocacy to promote rural health equity.

Organizations such as the CSRHA, the California Rural Indian Health Board, and the California Critical Access Hospital Network need more active members and leaders to build infrastructure and generate the policy influence to counteract structural urbanism.

The boards of state-wide organizations like California Health Care Foundation (CHCF), The California Endowment, and the Blue Shield of California Foundation need vocal rural representation to help vet priorities and proposals from a rural lens.

It takes a stronger effort for leaders living in rural areas to engage personally in such organizations, compared to their urban colleagues. This is partly due to travel time, but additionally, rural hospitals and clinics may have a smaller core leadership team who also need to optimize care and operations locally.

Building rural health care leadership is thus a key prerequisite.

Friction Fixing

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“Leaders should be ‘trustees of how people spend their time’ and ensure efforts aren’t ‘spread thin like peanut butter on a slice of bread,’ but concentrated on impactful work.”

– Robert Sutton & Hayagreeva Rao, Professors, Stanford Graduate School of Business

What are the leadership practices that make large organizations and government bureaucracies most effective?

This is a central question I have considered as Partnership has grown from a small health plan covering fewer than 100,000 members in one county to a large organization that covers about 900,000 members in 24 counties. During this time, I have also had a front-row seat for viewing how the state and county government institutions sometimes seem to operate at a crawl while at other times a sprint.

Business schools in the United States (and particularly in California) spend a lot of time and energy on teaching the entrepreneurial process, which has arguably been a key contributor to American economic power. Conversely, business schools in other countries tend to spend more time on teaching operations, people management, and labor relations. Some aphorisms reflecting this U.S. focus on moving fast are: “Ready, aim, fire,” a mantra of startups, and “Go for it,” which encourages pursuit of a goal without hesitation or planning. This philosophy has spread to the California state government, flooding several unproven ideas written into legislation and policy in the past five years, with the hope that the good intentions behind these initiatives will be sufficient to make them work.

The balance between speed and deliberation is something you confront in medical offices and health centers. Leaders are frequently asked to weigh how much analysis to do before beginning a new initiative, such as whether or not to run a pilot or small test of change first and how much to focus on stabilizing current systems versus building something new. On the opposite side of the spectrum, humans tend not to think about what can be subtracted to make things work better; our mindsets and social and workplace rewards are based on pushing a new initiative forward.

With these leadership time-sinks weighing down many of us in the health care sector, I was pleasantly surprised to hear about a new way of framing these tradeoffs. In their book titled The Friction Project: How Smart Leaders Make the Right Things Easier and the Wrong Things Harder, Stanford business professors, Robert (Bob) Sutton and Hayagreeva (Huggy) Rao, address both the problems caused by too much friction, causing inefficiency and delays, as well as too little friction, causing precipitous decisions with adverse consequences. The role of the leader is to learn how to address both!

Seven years in the making, the book is filled with case studies, stories, and examples drawn from organizations in the past five to 10 years, integrated with key learnings from behavioral economics and psychology from the preceding 30 years. The storytelling is compelling, and the messages are not overly complex. They encourage us as leaders to become “friction fixers:” adding or subtracting friction, as well as speeding up or slowing down, depending on what the situation calls for.

In an example of reducing friction, Michigan Social Services reduced the 42-page application for food stamps and Medicaid (just about impossible to decipher and fill out accurately) to just eight pages. In an example of increasing friction, Google sped up its hiring process by requiring only four interviews per candidate to reach an 86% confidence level in a hiring decision; any additional interviews need executive approval. The authors dissect the friction framework further, discussing barriers to friction fixing including “jargon monoxide” (asphyxiation from unintelligible jargon), “addition sickness” (never considering subtraction of processes to fix problems), and “power poisoning” (senior leaders exerting their will without input from their team).

The principle of aiming for an optimal amount of friction has many implications at Partnership, ranging from program design to prior authorization requirements, to structuring pay-for-performance programs to be most effective. One example is the application that is part of our grant-making process. The application should be as short and clear as possible, with each question reflecting either key information needed to evaluate the organization and grant proposal or to track / categorize the grant after it is awarded. The decision of which procedures to assign prior authorization requirements is another example of balancing friction in terms of staff time and system complexity, with the cost of the procedure and the staff cost for performing these reviews.

It is also a framework that may help you achieve balance in your work leading clinicians and health centers. For example, in attempting to get universal depression screening, you will consider how to do this while minimizing friction to clinicians, by having the screening be automated, or having medical assistants trained to do the screening.

Sutton and Rao’s work in formulating their framework was influenced by two other books with intriguing titles, likely to offer additional insights:

Considering friction as a continuous variable of policy implementation is helpful to create mental flexibility, considering novel policy approaches and not prematurely locking-in on a particular approach as being the “best” approach. I encourage you to consider the principles of the Friction Project and work to become a “friction fixer” in your own environment!

 

Controversies in Trauma-Informed Care and Screening for Adverse Experiences

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“I believe in evidence. I believe in observation, measurement, and reasoning, confirmed by independent observers. I’ll believe anything, no matter how wild and ridiculous, if there is evidence for it. The wilder and more ridiculous something is, however, the firmer and more solid the evidence will have to be.”

– Isaac Asimov, Author and Biochemistry Professor at Boston University

Six years ago, California’s first Surgeon General, pediatrician Dr. Nadine Burke Harris, secured legislative approval to create a supplemental payment for providers to screen adults and children for Adverse Childhood Experiences (ACES) – traumatic events in childhood that can include violence, neglect, abuse, and growing up in a home with substance use and/or mental health challenges. To be able to be paid the $29 reimbursement for screening, clinicians needed to complete a standardized training, which includes some basics on a related topic: trauma-informed care.

The rollout of the ACES screening has been turbulent. However, a moderate amount of screening state-wide has been done, with 29% of the overall Medi-Cal population and 12% of Partnership members having been screened since January 1, 2020. There are different billing codes for low-risk (scoring 0-3 on the ACES screen) and high-risk screening results (scoring 4-10). This allows the Department of Health Care Services (DHCS) to report on the proportion of those who are screened with different risk scores. This year, they reported that 7% of children and 18% of adults had ACES scores of 4 or higher across all Medi-Cal-managed care plans.

The Surgeon General’s program, ACES Aware, also funded several studies and implementation projects. Ostensibly, these grants were supposed to develop an evidence base for the effectiveness of interventions to address ACES and potentially mitigate their effects. In practice, these many studies brought forth many interesting insights, anecdotes, and ideas around ACES and trauma-informed care, but little evidence on outcomes.

One of these studies – which documents a series of interviews of clinicians working in Tribal health centers – notes that the ACES screening tool is not very helpful for Native American populations (Garrow & Wimsatt, 2021). This is because certain kinds of trauma, such as historical trauma, transgenerational trauma, and efforts at cultural erasure, are pervasive undercurrents experienced by our Tribal communities and are not covered in the ACES screening tool. The ACES screening tool was first designed in the late 1990s by Kaiser San Diego for insured adults in an urban setting. The Suscol Intertribal Council offers an excellent online course that encompasses the vital nature of California’s history through the lens of our California Tribes and the effects of colonization through the Native American Historical Trauma and Traditional Healing Project.

Despite the lack of studies showing benefits of ACES screening, ACES Aware and the DHCS websites both authoritatively assert that ACES screening is a vital component of addressing underlying trauma. In addition, DHCS considers ACES screening as an option for a standardized risk assessment expected to be performed by primary care providers on their patients, evaluated as part of the triennial Partnership Medical Review process.

The other options are routine screening for Social Determinants of Health and performing a standardized cognitive health assessment for members aged 65 and older.

Other national organizations are more skeptical. The US Preventive Services Task Force and the Cochrane Collaborative have no recommendations about ACES screening or trauma-informed care. These organizations have endorsed screening for intimate partner violence and depression based on evidence screening, which can lead to interventions and improve outcomes. In January 2022, American Academy of Family Physicians (AAFP) recommended a “universal precautions” approach to trauma-informed care with no screening requirement:

“Providing trauma-informed care does not require individuals to disclose their specific trauma history. Family physicians should approach trauma-informed care itself as a universal precaution by utilizing trauma-informed practices in all patient interactions, even if a patient’s experiences with trauma are unknown. The AAFP urges its members to understand and incorporate trauma-informed care into clinical practice.”

In an effort to review the evidence base more systematically, the US Agency for Healthcare Research and Quality commissioned a study sponsored by the National Institute of Health, released in 2025, titled “Trauma Informed Care: A Systematic Review.” A summary of this study can be found in the November edition of the American Family Physician Journal, Trauma-Informed Care: Evidence and Pragmatic Approaches on page 474.

The summary found that the studies that were reviewed had a high risk of bias and high variability of interventions. The studies were not structured to disprove the null hypothesis: that ACES screening and trauma-informed care have no effect. Partly for this reason, the investigators concluded, “the evidence was insufficient to reach any conclusions about the effects of trauma-informed care for any outcome (Nguyen-Feng, et. al, 2025, p. 9).”

Of course, the absence of evidence is not the same as evidence that something doesn’t work. However, the amount of money and effort dedicated to a particular intervention deserves to be linked, at least somewhat, to the level of evidence behind that intervention.

In the last decade, it seems many well-intentioned researchers who believe a particular fact have been negligently unaware of how their biases affect their study design and validity. Economist Ronald Coase once said, “If you torture the data long enough, it will confess.” Following this logic, we cannot insist on “following the evidence” for the effectiveness of vaccines and the safety of acetaminophen in pregnancy, for example, while following a different standard about interventions that address the important issue of ACES screening and trauma-informed care.

With the absence of outside studies showing a benefit, I encourage you to consider analyzing your own experience. If you are regularly performing ACES screening, consider gathering your own data on the follow-up of this screening. If positive outcomes are being observed, understand the sequence of activities that led to these outcomes. If you find unintended negative consequences, embrace the opportunity to dive deeper into the drivers of these consequences. Make every effort to follow the data to whatever conclusions they reveal.

In the meantime, the AAFP-recommended approach – assuming that any given patient may have trauma impacting their care experience – of providing universal trauma-informed care seems patient-centered and sensible (although this too is not rigorously supported by evidence). The benefit of universal ACES screening itself remains unproven, although perhaps learning about the association between a high ACES score, chronic disease, and poor health outcomes can help motivate our teams to study and understand the principles of trauma-informed care more diligently. Additionally, the $29 per screening in supplemental income from universal screening can help subsidize counseling and staff education around trauma-informed care.

To conclude, I leave you with some final words of wisdom on this topic by Partnership medical director and family physician Dr. Marshall Kubota:

“Maybe it’s the long-term relationships that family physicians (and other primary care physicians) develop over time with their patients (past trauma and other life events) that inform us as doctors, that are threatened by the lack of continuity and time with patients, and cannot be replaced by AI. On the other hand, I don’t know if we can ever really know our patients that well. We might be fooling ourselves that a questionnaire or trauma history would give us the sympathy/empathy that would be needed, especially as it is transmogrified by our own personal history and culture.”

Remote Patient Monitoring: Research Versus Reality

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“In the fields of observation, chance favors only the prepared mind.”

– Louis Pasteur, Chemist, Pharmacist, and Microbiologist

As leaders in primary care medicine, many of us have seen studies stating remote patient monitoring (RPM) improves outcomes for chronic conditions, reduces hospitalizations, and enhances patient engagement. The evidence is compelling, yet when primary care providers (PCPs) in our service area try to implement RPM for blood sugar, blood pressure, and weight measurement in our practices, the results fall short of those glowing published reports. Why does that happen?

The Implementation Gap
The disconnect between research and reality stems from a fundamental resource challenge: discretionary energy. Published studies typically involve motivated research teams with dedicated support staff, structured protocols, and patients selected for their engagement. This is a common reason why pilots and studies are not replicable at scale in the real world.

Early RPM systems overwhelmed care teams with alerts, data streams, and fragmented workflows. While vendors have worked to reduce this noise through better algorithms and smarter notifications, a core challenge remains: one still needs to review data, respond to alerts, and adjust care plans. This requires time, attention, and mental bandwidth that many care teams in real-world practice do not have.

One option that does not burden primary care teams is to turn over disease management to an outside organization. Several PCPs in the Partnership service area have tried this. If the outside organization is integrated with the PCP’s electronic health record (EHR), communications disruption can be mitigated. However, practice patterns and clinical decision-making are often different between the PCP and the case management vendor. This creates friction and a paradoxical increase in clinician discretionary energy often leading the PCP to drop the vendor – particularly if the vendor relies on the PCP to actually implement the orders / changes recommended by the vendor.

Even when an RPM launch is successful, another problem emerges: adherence decay. Both patients and providers tend to disengage over time. Patients tire of daily measurements and app interactions. Clinicians, lacking time to consistently review and act on data, begin to tune out alerts. What starts as an innovative intervention gradually becomes abandoned equipment and unused subscriptions.

This is a predictable outcome when new technologies are layered onto already overburdened systems without removing other work or adding adequate support.

The Path Forward
The future of effective RPM likely lies in patient empowerment rather than clinical surveillance. Imagine AI-powered systems that automatically motivate patients at individualized intensity levels, gently activating them toward better self-management. These tools would reach patients through multiple channels – text, email, app notifications, even voice calls – meeting them where they are rather than requiring constant app engagement.

Such systems could reduce the burden on care teams by helping patients develop better self-management skills before problems escalate. The clinician becomes a consultant and troubleshooter rather than a daily data reviewer.

Making RPM Work Today
If you’re an enthusiastic clinician wanting to use RPM effectively right now, the literature shows you can make an impact. However, you need to be realistic about the requirements. Success demands either personal investment of extra time or allocated resources that include dedicated staff support as well as protected time for data review and patient outreach.

In our current environment of constrained access and projected reimbursement cuts, securing those additional resources will be challenging. Most practices are already stretched thin, struggling to meet basic access needs.

RPM works — but not automatically. The published success stories are real, but they reflect specific conditions that may not match your practice’s reality. Before implementing RPM, honestly assess whether your team has the discretionary energy to make it effective. If not, wait for (or even try out early versions of) next-generation tools that truly optimize rather than add to team burden. If you proceed now, ensure that support structures are built in from day one, and don’t be surprised when implementation proves harder than the literature suggests.

CMA Delegates Opt for More Deliberation and Dissent

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“It is the first responsibility of every citizen to question authority.”

– Benjamin Franklin

The October in-person convening of the California Medical Association (CMA) brought two major categories of recommendations to the House of Delegates (HOD) for discussion and debate.

The first category was a series of recommendations responding to the current threats to public health, access to health care, and interference with the delivery of health care to patients. The greatest debate among these was the degree to which the CMA should advocate for immigration policies, which indirectly affect the health status and mental health of the patients they serve. Led by amendments from the student and resident caucus, with moving testimony from many physicians – some of whom were immigrants – the final resolutions contained more specific language on immigration policy changes for which the CMA should advocate and referred these recommendations to the American Medical Association (AMA) to take national action.

The second category of action was a series of recommended changes to the CMA bylaws, which returned more deliberative responsibility to the CMA HOD while maintaining some regional medical society responsibilities for the appointment of national delegates.

In the last 30 years, the CMA has mirrored many state and national legislative bodies in changing rules to decrease the time and effort taken for deliberation and granting more authority for decision[1]making to a more powerful executive and/or legislative leadership.

For the CMA, this meant shortening the annual HOD meeting from five days to two, eliminating the reference committees deliberating on resolutions before sending them to the HOD, and moving approval of resolutions from the HOD to the Board of Trustees. CMA made these changes 20 years ago to make the process more efficient and less time-consuming for physician leaders. The consequence was that a very small group of physician leaders (the Board of Trustees) did the majority of the deliberating and then customized the recommendations as they saw fit. This resulted in many neutralized resolutions being submitted to the board with milder statements of principles, rather than resolutions that had previously come from the raucous democratic body of the HOD; the CMA Board of Trustees amended these resolutions to be more palatable and less controversial.

After a two-year process of membership engagement by the CMA Governance Reform Technical Advisory Committee (GTAC) – a sort of CMA Constitution convention – a series of bylaw changes were debated and ultimately passed by the HOD. These changes will create a policy review process in between the old way (five-day HOD meeting with reference committees and every resolution debated) and the more recent way (all resolutions go to the Board of Trustees, with one or two major topics of discussion / collections of related resolutions brought to a two-day HOD). Going forward, resolutions submitted year-round will be sorted for consideration by the Board of Trustees or the HOD, with the latter meeting twice per year.

Unrelated to the GTAC recommendations, the Board of Trustees submitted a request to the HOD to change the way the CMA delegates to the AMA were selected. These changes to bylaws would remove regional selection of a portion of AMA delegates, allowing the Board of Trustees to have final say in selecting all delegates and filling all vacancies. After spirited debate with testimony noting the importance of democracy for promoting productive dissent, inclusiveness of minority viewpoints, and preventing centralization of power, the HOD voted down these proposed changes by a nearly two[1]thirds vote. Despite the dissent, the HOD discussion remained respectful and appreciative of those who proposed the unadopted change.

In the face of vigorous and passionate deliberation, it was inspiring to witness the level of respect shown among colleagues who hold different viewpoints expressed toward each other. The discourse reminded me that for a democratic body to thrive, it needs to be engaged and reflective; it needs to debate differences respectfully, drawing upon logic and principles. While many of us may disagree with some decisions of our leaders in organized medicine, the organizations themselves are worthy of our pride and membership.

 

Challenges of Thinking Like a Scientist

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“Half of science is asking the right questions”

-Francis Bacon, father of empirical science

The recent troubling activities by the U.S. Food and Drug Administration (FDA) and the Advisory Committee on Immunization Practices (ACIP) are part of a larger pattern of drawing conclusions based on unacknowledged cognitive biases.

Charles Piller, an investigative journalist of the prestigious journal, Science, recently authored “Doctored: Fraud, Arrogance, and Tragedy in the Quest to Cure Alzheimer’s,” which meticulously catalogues a huge volume of falsified images and data related to the nature of Alzheimer’s disease. Piller’s work has led to the retraction of numerous scientific papers going back more than three decades and a cessation of National Institutes of Health (NIH) grants to the neuroscientists associated with these studies, several of which are well-documented in Piller’s New York Times guest essay, “The Devastating Legacy of Lies in Alzheimer’s Science.”

Piller’s book narrates the story of an individual whistleblower who reported evidence of fraud to the NIH, FDA, individual universities, and academic journals starting in 2021. The overlapping interests of those not wishing to expose the irregularities and potential fraud led to little response. It was not until the details were revealed to the wider press and in Congress that several actions were taken in 2024.

Prior to publicizing the results, Piller offered every researcher suspected of doctoring results the opportunity to review the evidence and comment or be interviewed. Those who accepted the offer were most often the co-authors of the papers publishing results of experiments performed by others. For each researcher who was found to have fabricated the results, there were several co-authors, many world-famous, whose biases led them to ignore negative experimental results incongruent with “groundbreaking” results, potentially yielding them wealth and fame — confirmation bias in action.

Piller identified one professor who routinely berated graduate students whose lab experiments did not produce desired results, which could disprove the theory. Conversely, the professor showered praise and privileges on graduate students whose results favored the preferred theory. Although the professor did not explicitly tell students to falsify the results, the culture of the laboratory created an environment lacking integrity to the scientific method in favor of obtaining particular results.

Significant financial conflicts of interest were also a major driver, enticing scientists to look the other way when fabricated results or poor-quality studies made a particular drug look promising. In such cases, the scientists or pharmaceutical company leaders would overzealously promote the promise of a drug if it served their personal financial interests. Scientists who favor a particular result plainly reveal their bias towards that result, and extra caution is warranted before accepting any results at face value.

In the area of Alzheimer’s disease research and drug development, precious resources and research dollars were siphoned away from legitimate Alzheimer’s research projects and granted to those whose papers were based on fabricated results. In retrospect, these were dead-ends, and the totality of harm is immeasurable.

Piller’s book focuses on and reveals misbehavior in scientific research. Insights into the behavioral economic origins of this misapplication of the scientific method can also be applied to the area of health policy.

In an ideal world, health policy decisions would be made based on an understanding of science and statistics. Policies would also apply the principles of quality improvement: iterating repeated small[1]scale pilots before mandating state-wide implementation of a new approach, rather than using a compliance policy approach for lofty aspirational goals better suited to incentives.

Well-crafted policy relies on several principles in common with good scientific research: humility and willingness to test new ideas objectively and acknowledge failure as we learn, so we can make the next attempt better. Having a pre-conceived bias or propensity for a particular policy approach, coupled with an unwillingness to logically consider scientific and statistical arguments, will lead to policy that is ineffective at achieving its goals.

While we do need to have visionary leaders with charisma and energy, this should ideally be coupled with an understanding of the importance of keeping the scientific method and quality improvement methodology at the forefront in the policy development process.

Scheduling Well-Child Visits: Taking Demand for Acute Visits into Account

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By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“The art of scheduling lies in balancing supply and demand.”

– Rosemarie Nelson, Medical Group Management Association

Note to readers: This month’s lead article is more quantitative than usual. I tried my best to make it accessible, but to fully grasp it, I do recommend reading it at that time of the day when you are most alert!

Many clinical quality measures lend themselves to year-end “sprints” where staff call up patients to encourage them to complete mammograms, cervical cancer screening, blood pressure checks, blood tests, etc. – typically from early October through December 31.

Theoretically, well-child visits could also be the focus of a year-end “sprint,” but this rarely works, for several reasons:

  1. Toward the end of the year, holiday plans mean families would rather wait until the following year to schedule the visit.
  2. Clinicians also take needed time off for the holidays, leaving the covering team understaffed while caring for acute problems with reduced capacity to deliver preventive care.
  3. By November and December, respiratory infections start increasing sharply, constraining the number of available appointments for well-child visits.
  4. So few well-child visits are completed within the first nine months of the year, that it causes many children to be overdue at the end of the year without enough time in the remaining schedules for them all to be seen.

The last scenario is common for Quality Improvement teams at Primary Care Provider (PCP) offices visited by Partnership’s Performance Improvement team. Several practices feel a sense of hopelessness towards the idea of catching up before the new year begins. (See Clinic A below)

Real data from three sites in 2024 shows this pattern of visits for Clinics A, B, and C, shown on the next page.

Cumulative Well Child Visits

Clinic A averaged just 2.1% of their total population with a well-child visit each month, steadily maintaining that rate throughout the year with no discernable effort to catch up. Their scheduling of well-child-visits was rigidly inadequate with possibility for flexing the schedule to catch up. When they analyzed their gap in September, they were so far from target that they had no hope of catching up, so they did not try.

Clinic B had a slow and steady rate from January through May, with a concerted effort to increase visits in June through August. From September through December, the rate continued to rise steadily, achieving the goal in December.

Clinic C averaged 3.4% of their total population through July. At that continued rate, they would never have reached their target. However, they began a big push for August through December, with an average of 9% for the last five months of the year, ultimately beating the target by 15%.

A practice that was determined to achieve the target, but to have a completely steady number of well[1]child visits per month, would have to see 5.1% of their pediatric patients aged 3-17 every month to achieve the goal of 61% by the end of the year. I could not identify any primary care office in Partnership’s 24 counties that had 5% per month or more of their pediatric patients with a well-child visit in the first few months of the year.

While Clinics B and C reached the target, they expended significant effort to catch up in the second half of the year, starting in June and August, respectively. This corresponds to the summer break from school, when scheduling well-child visits is a bit easier. However, in both cases, significant effort continued from September through December to achieve the full point target.

How does this scheduling pattern compare to the demand for visits for acute illnesses?

In their article measuring the demand for same day visits for acute problems in 2001, Forjuob et al (2001) describe that such visits varied significantly by month of the year:

In this normalized data, same day appointment demand ranges from a low of 80 to a high of 120 visits per day. Starting in late April, you may see a reprieve from the scheduling pressures due to seasonal upper respiratory infections.

The lowest demand for visits for acute problems is between May and August. November through March has the highest demand for such visits, corresponding to the typical pattern of seasonal respiratory illness.

Not shown in this graph is the variation by day of the week, with Monday having an average annual demand of 123 and Wednesday having an average annual demand of 91.

In developing a weekly schedule, fewer well-child visits should be scheduled on Monday. You can access an Excel spreadsheet with the daily data here.

Why don’t well-child visits start rising in April, as the respiratory infection season starts easing? This would seem to be a logical time to start increasing well-child visits, instead of waiting until the busiest month of the year (December) to heroically reach the target.

The answer is recency bias, in which our minds give greater importance to the most recent event. In March, when we are opening our schedules for the next few months, we are in the fourth month of very busy schedules, working late every day. It seems like it will keep going like this forever. We forget we are on a predictable downslope in demand and don’t start ramping up our summer schedule for appointments until we notice fewer people are calling in for same-day appointments; same-day appointments are not always full. We then adjust our schedules to accommodate more well-child visits, keeping this schedule into November or December to achieve our preventive-health[1]visit targets, even as the schedule starts getting busy again.

Planning ahead for the predictable decrease in demand for acute/same-day visits starting in late April, and then steadily increasing the number of well-child visit appointments from April through June, will help spread out the workload. This can make a big dent in the number of well-child visits needed, so an end-of-the-year sprint has a better chance of succeeding.

Planning your schedule for well-child visits at the beginning of the year, taking into account demand for same-day visits as well as staff time off, can set your office up for success in reaching the target! From late April through June, consider a mid-year sprint effort focused on scheduling well child visits before summer vacation schedules begin to limit appointment access.

Preparing Our Staff for Emergencies

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“When the pressure is on, we don’t rise to the occasion, we fall to the highest level of preparation.”

– Chris Voss, Author and Former FBI Negotiator

At the end of residency training, what knowledge do clinicians retain, and what tends to fade quickly over time?

Knowledge is often retained when clinicians experience a high-stakes clinical syndrome firsthand – watching it unfold, making difficult decisions, and later second-guessing whether those decisions were correct. In contrast, information is often forgotten quickly when it comes to reading about a topic they have never personally encountered.

Memories are stronger when the neuronal connections associated with that memory are more myelinated and have redundant pathways. Memories become stronger with repetition, when memories are attached to emotion, if the memory involves multiple learning modalities (listening, reading, watching, and doing), if the information is repeated over time, and if it is associated with other memories.

Some clinical scenarios are rare, but the consequences of decisions are particularly impactful. Some examples include unexpectedly being a clinician responsible for the care of a person with cardiopulmonary arrest, major trauma, status epilepticus, or obstetrical emergency.

Being relatively calm and effective in these cases depends on the level of preparation and knowledge one has gained before being confronted with an emergency. The more automatic our actions are, the faster and more accurate they will be.

Simulations and case studies are two helpful resources to help prepare for high-stakes situations. If the scenario requires a manual skill, watching a video or practicing the actual skill with some repetition is essential (simulation). If the scenario involves high-stakes decision making, a deeper and more considered thought process is helpful (case studies). Watching attentively as one of our peers struggles with the manual skills or cognitive processes of an emergency also reinforces the neural pathway; so, learning as a team is better than learning alone.

What sort of emergencies might you encounter in an outpatient practice? One of the most common is a patient who unexpectedly loses consciousness or nearly loses consciousness. First, we must quickly assess the situation to determine the underlying severity of the situation. Is it a vasovagal reaction, a hypoglycemic episode, or a cardiopulmonary arrest? Subsequently, or sometimes simultaneously, promptly initiating treatments that will help or resolve the situation is key.

Training together as a team offers other major benefits, such as: deepening trust with teammates, developing shared mental models so that the actions of others can be anticipated, and strengthening communication to be as efficient as possible in an emergency situation. In the past several months, Partnership has been sponsoring trainings in obstetrical emergencies for hospital teams and found that the enhanced team effectiveness was a major unexpected benefit highlighted by the hospitals afterwards.

Unfortunately, as our health care delivery system has moved to the convenience of online training for Advanced Cardiovascular Life Support (ACLS), Basic Life Support (BLS), etc., this becomes a missed opportunity to develop our team effectiveness, particularly with new staff. We might consider alternating or augmenting our online training with in-person scenarios to help the material resonate better and build team effectiveness. Another best practice could be to combine an in-person BLS training with clinic-specific customizations, such as treatment of vasovagal reactions, seizures, and hypoglycemia.

One final best practice is what our outgoing Physician Advisory Committee chairman, Dr. Steve Gwiazdowski, calls “high frequency, low fidelity” practice. Finding ways to do quick refreshers on key scenarios or skills every three months or so, has been proven to keep this knowledge fresh. The Banner Hospital system, with small rural hospitals throughout the rural western states, has institutionalized such quarterly re-trainings for their nursing staff and found that this approach improves both outcomes and teamwork. To better prepare for emergencies, please consider ways to incorporate these types of quick refreshers into your clinical setting.

Statewide Implementation of Justice-Involved Health Care Transitions

Dr. Robert Moore, MD, MPH, MBA, Chief Medical Officer

“To be 95% confident that a large-scale implementation will be successful, look for at least four independent small-scale tests all showing a significant benefit.”

– Summary from The Science of Using Science: Towards an Understanding of the Threats to Scaling Experiments (Al-Ubaydli, List, & Suskind, 2019).

The transition of integrating back into the community after being incarcerated marks one of the most dangerous periods in a person’s life. Overdose is the leading cause of death for people recently released from incarceration, with rates more than three times the national average for incarcerated populations. Building on a 2006 pilot in San Francisco that Partnership helped expand starting in 2012, California is now poised for state-wide implementation of an approach that transforms this vulnerable transition period from a health crisis into an opportunity for healing through comprehensive, coordinated care that begins before the prison gates open.

Justice-involved individuals typically face a constellation of health challenges. In California, approximately 35,000 people are released yearly from state prisons, while most of the 350,000 people booked into county jails are released within weeks. 66% have moderate or high need for substance use disorder treatment, while incarcerated individuals with active mental health cases rose by 63% over the last decade.

The racial disparities are stark: nearly 29% of incarcerated men in California are Black, while Black men comprise only 5.6% of the state’s population. This means health care interventions for justice-involved individuals must intersect with critical racial equity initiatives.

Origins: The Transitions Clinic Network

In 2006, the pilot project at a San Francisco community health center, partnering with San Quentin State Prison, launched what became the Transitions Clinic model. This evidence-based program included innovative components like community health workers (CHWs) with lived experience of incarceration as integral health care team members.

The model proved successful and expanded rapidly. By 2024, the Transitions Clinic Network (TCN) linked 48 clinics in 14 states and Puerto Rico, including 21 in California. Research demonstrates that the TCN model cut emergency department visits and hospitalizations in half.

Partnership HealthPlan of California recognized the potential early, embracing the pilot version with strategic use of reserves more than a decade ago. The organization ultimately funded three different sites, adding two locations to the original pilot in Vallejo, demonstrating how managed care organizations could collaborate effectively to serve justice-involved populations.

Based on the proven success of multiple pilot sites in the years that followed, the Transitions Clinic and Partnership discussed expanding this model state-wide with the California Department of Corrections, even before CalAIM existed.

California Builds a Statewide Model Using Medi-Cal

Fast forward to 2023, when California became the first state to receive federal approval to use Medicaid funds for services provided to people leaving jail or prison. This breakthrough came through a federal Medicaid 1115 demonstration waiver, representing a fundamental shift in approaching health care for incarcerated populations.

The Justice-Involved Initiative is part of California’s broader CalAIM transformation. When Medicaid was created in 1965, federal law barred the use of federal funds for services for incarcerated people. California’s waiver effectively bridges this gap, allowing continuity of care that was previously impossible.

Eligible individuals can receive targeted Medi-Cal services for up to 90 days prior to release, including:

  • Reentry care management services
  • Physical and behavioral health clinical consultations
  • Laboratory and radiology services
  • Medications and medication-assisted therapy
  • Services from CHWs with lived experience

Most importantly, qualifying members receive prescribed medications and medical equipment upon release, addressing the critical “medication cliff” that often leads to rapid health deterioration.

Justice-Involved Implementation and Early Success

The rollout began strategically with three pilot counties—Inyo, Santa Clara, and Yuba—on October 1, 2024. By July 1, 2025, 17 counties plus the state prison system will have launched services. For Partnership, three counties—Yuba, Sutter and Siskiyou—are included in this initial wave. Nevada County is tentatively scheduled for September 1.

Partnership’s Justice-Involved team is now seeing a steadily increasing stream of referrals coming in from ECM providers within the state prison system.

An example of how coordination of implementation is as follows: An incarcerated person with specific mental health needs and nearing release qualifies for 90-day pre-release services. They are assigned a pre-release care manager who develops a reentry plan. Before release, the individual is connected to a community psychiatrist through a “warm handoff” meeting. Upon release, the individual receives Enhanced Care Management (ECM) and subsequently gets a supply of medication to take with them.

ECM provides intensive care coordination for high-risk individuals, creating continuity that spans institutional and community settings. ECM providers address not just health care needs but social determinants of health including housing, employment, and transportation. Community Supports (CS) services complement ECM and address fundamental barriers to stability, including housing transition navigation, security deposits, and other services that promote community integration. Housing is perhaps most critical – homelessness rates among those being released from incarceration are extremely high, and unstable housing is associated with increased recidivism and poor health outcomes.

All counties must launch services by September 30, 2026. The initiative’s sustainability depends on demonstrating positive outcomes and cost-effectiveness. Success metrics include health care outcomes, community integration measures, and quality of life indicators for participants. Meanwhile, success in each county depends on local engagement activities and leadership commitment.

What Primary Care Providers Can Do

The initiative’s success ultimately depends on primary care providers’ willingness to serve justice-involved individuals effectively. Most importantly, providers must ensure that requests for initial appointments are addressed quickly. Discharged individuals typically receive only 30 days of medication and face complex medical and mental health issues. They’re at high risk of death after discharge, making rapid access to care a critical public health need.

Case managers from correctional facilities will reach out to schedule pre-release appointments. While members won’t be assigned to specific health plans while incarcerated, DHCS will make assignments retroactive to release dates. Providers should schedule these appointments immediately when requested—this transition period carries much higher mortality and recidivism rates without appropriate services.

Beyond rapid access, providers should anticipate that patients with complex needs will require comprehensive, coordinated care. This includes working collaboratively with ECM providers and community health workers, approaching patients without judgment, managing medication transitions carefully, and connecting patients to specialty care and community resources supporting long-term stability.

California’s Justice-Involved Initiative represents a fundamental shift in approaching the intersection of criminal justice and compassionate health care. Building on years of successful pilots, the state has created a model with a high likelihood of successfully spreading state-wide, which will help to transform outcomes for one of our most vulnerable populations.

Difficult, but Rewarding, Conversations

By Robert L. Moore, MD, MPH, MBA, Chief Medical Officer

“Change happens by listening and then starting a dialogue with the people who are doing something you don’t believe is right.”

— Jane Goodall, English zoologist and primatologist

Disagreements about vaccinations, public health activities, and scientific research have escalated in the past few months, with an expanding chasm between the views and opinions of those with different political ideologies. Health professionals and public health leaders need to develop skills in communicating effectively with patients and members of the public who may have deeply held, but widely disparate views. Of course, this is easier said than done!

This challenge is exactly what Epidemiologist Dr. Katelyn Jetelina narrates in a recent post on her popular “Your Local Epidemiologist” Substack. She and several other famous U.S. public health leaders were invited to participate in a dialogue with leaders of U.S. Health and Human Services, Director Robert Kennedy’s, Make America Healthy Again (MAHA) coalition. Her summary of this meeting is introspective and very well-written, one of her best posts of the year. In the end, she gained a lot of understanding of the concerns and questions of the MAHA participants and found several areas of shared values.

In sharing her experience, Dr. Jetelina encourages us to find ways to have deep and meaningful conversations with those in our community who have different ideas about public health and science.

She concludes with three points:

“Fight for people, not institutions. Meet questions with empathy. Look for opportunity in the rubble— because it’s there, if we’re willing to see it. Even when it’s hard.”

Although her views expressed represent the opinions of the author and do not represent the official views of Partnership HealthPlan of California, there is value in her message for how we approach difficult conversations.

Enjoy!