A data-driven approach to capturing oncologist mindshare in a diverse treatment landscape

U.S. oncologists are becoming increasingly diverse in composition, practice setting, geography and age, all of which make them a difficult group for pharma to understand. According to the American Society of Clinical Oncology’s 2022 report on the state of cancer care in the U.S., oncologists are spread across approximately 1,600 sites of care, with 10% working in rural environments and 22% approaching retirement age. And this is just a portion of the oncology workforce—to say nothing of the diversity of the patients they treat.

For pharma to engage this heterogeneous group more effectively, they need to have a better understanding of their needs and patient base. This isn’t a new concept of course, but there are better tools now, driven by data and technology, that can give pharma better insights and characterizations. One such solution is a cross-tumor data product developed by ZS that provides deep understanding of the treater universe via data-driven segmentation to drive key activities. ZS recently used it to help make sense of the U.S. oncologist market, which includes 19,000 oncologists. The insights we gleaned from our analysis, which we describe in detail below, can help pharma companies:

Oncologists are increasingly diverse—and so is their patient pool

Our investigation began by looking at the U.S. oncologist universe, which includes 19,000 oncologists, who treat 2.8 million patients across 26 of the most prevalent oncology tumor types, from 2019 to 2022. We included physicians with board certifications in relevant specialties, including medical oncology, hematology oncology, pediatric oncology, who were actively practicing during the study period. We defined “active” as has having more than 50 oncology patients.

To make sense of this population, we looked for commonalities among the patients these oncologists were treating. Building on previous ZS work, we knew that the patient pool would be diverse for each treater. Our previous analysis found only one in 10 oncologists spends 80% of their time treating one type of tumor. Our analysis found 90% of oncologists treat at least nine tumor types across their patients.

Based on common characteristics of the patients they treat, we ultimately decided to break down oncologists into the following categories (Figure 1):

FIGURE 1: 3 oncologist archetypes based on their patient populations

Upon further analysis, we found that the organ system specialists were by far the least populous group in our study, with only 3,200 oncologists concentrated in academic settings. Conversely, we found 6,500 onco-generalists primarily in community settings. The biggest group in our analysis were the 10,000 oncologists in the in the solid tumor specialists group, where 55% were found in a community setting.

This latter data point highlights the growing importance of community oncologists as they develop more specialist capabilities. Furthermore, across our entire data set, academic specialists managed 185 patients per oncologist in the period we examined, while community oncologists saw an average of about 350 patients during the same period.

Implications and challenges for pharma

The influence of oncologist specialization on treatment choice

To further understand the relevance of the oncologist categories and whether they conferred meaningful differences in the oncologist’s treatment selection, we examined two aspects of treatment choice:

  1. Adherence to SOC medications
  2. How many treatments these oncologists typically selected from, which we called their “consideration set”

We defined the SOC in each tumor type as a therapy used by at least 85% of oncologists treating that tumor type, with a very low payer rejection rate.

When considering the overall SOC, onco-generalists tend to adhere to the SOC across nearly all tumor types, whereas specialists are a bit more varied. Two striking examples where SOC usage differed between specialists and onco-generalists were ovarian and biliary tract cancer (BTC), where less than 50% of specialists do not adhere to the SOC.

Of course, the reason for this disparity is likely multifactorial. We know that gynecological oncologists will perform primary surgical cytoreduction as a therapeutic and diagnostic in patient evaluation, leading to far more procedure codes in their practice. Following primary cytoreduction, these specialists may be jointly managing patients with a medical oncologist to prescribe systemic therapies, thereby lowering the specialists that adhere to the systemic SOC. More broadly, ovarian and BTC are also typically diagnosed in later stages, with fewer approved therapies and likelier clinical trial enrollment, which lessens adherence to SOC amongst specialists.

FIGURE 2: Comparing consideration set size and treatment behaviors across specialist types

We also examined the size of an oncologist’s consideration set, or the average number of therapies that they typically prescribe within a specific disease area. Most physicians consider two to three therapies regardless of indication or specialty, with about 10% of specialists considering more than three therapies (Figure 2, top). We also noticed a substantial difference in the types of drugs that onco-generalists and specialists tend to select. While the percentage of patients receiving targeted treatments is roughly equal, patients seeing onco-generalists are much more likely to receive chemotherapy (Figure 2, bottom).

Here we see a few key insights:

Implications and challenges for pharma

The growth of nontraditional physician types shaping cancer care

Our study found that more than 60% of cancer patients with bladder, prostate, breast, melanoma and thyroid cancers are co-managed by non-oncologist specialists (Figure 3). One striking example of this multidisciplinary approach is in bladder cancer, where 90% of patients are co-managed by a urologist and oncologist. In this tumor type, resection and intravesicular instillation—which is usually performed by a surgeon, a urologist and a medical oncologist if systemic therapy is needed—has been a mainstay of treatment. In this kind of treatment, urologists perform follow-up monitoring for stages 0-3, which makes them a very consistent touch point for the patient.

FIGURE 3: Percentage of patients treated by non-oncologist specialists across tumor types

This example demonstrates the importance of multidisciplinary care, especially as we observe a broader trend in oncology toward diagnosing and treating patients with early-stage cancers. Like urologists, other non-oncologist specialists may be a more consistent patient touch point throughout diagnosis, treatment and survivorship care. According to one recent analysis, about 20% of cancer survivors are alive 20 years after diagnosis, but only one-third of patients seek care from their oncologist five-years post treatment.

Insights on the evolving role of non-oncologist specialists

Implications and challenges for pharma

In oncology, progress means change

The oncology landscape is going to keep shifting, which will require pharma companies to adapt their strategies to keep pace. By understanding the heterogeneity of oncologists and the expanding patient care continuum, pharma companies can develop more effective engagement strategies and ensure that their products reach the right patients. This will require a data-driven approach that leverages tools to segment the oncologist universe and identify key trends. By working closely with oncologists and other healthcare providers, pharma companies can help ensure that patients receive the best possible care.

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