A Complete Guide to Cancer Registries
Cancer registries are a central force within cancer treatment and research – with the potential to play an even larger role in years to come. But how exactly do they support cancer patients, researchers, and care providers? And what is required to make them even more valuable in the future?
This guide answers those questions and more – providing a complete overview of the power, challenges, and potential of next-generation cancer registries.
Cancer Registries 101
What is a Cancer Registry?
A cancer registry is a database designed to collect, store, and manage information about people diagnosed with cancer. There are three different categories of registries:
- Population-Based Cancer Registries (PBCR): These registries collect data for all patients within a particular geographic location. There are currently 51 population-based registries in the U.S., and their data is often used for epidemiological studies and public health surveillance.
- Hospital-Based Cancer Registries (HBCR): These registries operate within a specific organization and collect information on cancer patients the organization treats. There are over 1,800 in the U.S., and while they contribute data to population-based registries, the data is also used within the organization to optimize patient care and inform tumor board discussions.
- Special Case Cancer Registries: These registries collect data about specific forms of cancer, enabling patients, doctors, and researchers to access more detailed information about the type of cancer with which they are concerned.
What Data Does a Cancer Registry Capture?
Cancer registries collect a range of data for each new incidence of cancer:
- Patient Demographics: The patient’s name, age, gender, race, and geographical information
- Disease Status: The recurrence or disease progression
- Tumor Characteristics: Information about the patient’s tumor, including genomic information, biomarkers, and the stage of the illness
- Treatment Modalities: The various options selected to treat the cancer patient, such as surgery, radiation therapy, chemotherapy, hormone therapy, and immunotherapy
The patient’s status is then monitored for the remainder of their life – or until the age of 100. However, the level of detail and number of data points collected will vary between registries and sometimes individual cases. For example, researchers note that PBCRs capture fewer variables and data points than HBCRs.
What is the Purpose of a Cancer Registry?
There are a vast range of potential use cases for cancer registry data, but the most common ones include:
- Monitoring Cancer Incidence
Cancer registries provide essential data on cancer incidence across populations. By analyzing demographic and geographic patterns, public health officials can:
- Assist Screening: Registries are vital tools that assist with screening and enable researchers to evaluate the efficacy of cancer prevention programs. For example, data can be used to identify high-risk populations and adjust best practices to ensure key demographics receive early screening. Equally, registries can assess the impact of screening programs on cancer incidence, survival, and mortality.
- Identify Trends: Registry data can power large research projects to pinpoint trends in cancer. For example, recent research published in The Lancet utilized PBCR data from 2000-2019 to reveal that 50% of cancers studied had an increased incidence in young people.
- Highlight Disparities: Registry data provides a foundation for research into cancer disparities, helping to understand which groups are most susceptible to which forms of the illness – and which are not getting sufficient attention. It was recently discovered that black women in South Carolina had higher rates of breast cancer; registry data was used to develop the “Can Reach” initiative, which encouraged black women to get the treatment they needed.
- Investigating Treatment Patterns
Registries collect information on treatment choices, sequences, and variations to understand how care is being delivered. This unlocks vital insights that can directly include:
- Treatment Efficacy: Registry data is invaluable in evaluating the efficacy of specific treatments, especially for demographics that are less likely to be involved in randomized control trials (RCTs). For example, researchers used a combination of PBCR and administrative claims information to assess the efficacy of colon cancer treatments. They found that adjuvant chemotherapy had limited efficacy on older patients with stage III colon cancer – a finding that has since been used to reconsider treatment strategies
- Access to Care: Researchers have used registry data to highlight a range of socioeconomic and logistical factors that hinder access to care and create unequal outcomes in cancer patients. Equally, hospital administrators may use PBCR data to determine where new hospital locations or clinics should be built – or which treatments would be most relevant to the local population.
- Supporting Patient Care
Cancer registries enhance patient care by ensuring that providers have access to high-quality, standardized data:
- Care Coordination: Registries track patient treatments and outcomes across facilities, improving continuity of care. A wealth of research shows that registries can help to proactively plan care delivery for the timely provision of preventive and chronic disease care.
- Personalized Medicine: Registry data is increasingly used to share personalized cancer statistics tailored toward a patient’s personal and clinical characteristics. Research suggests that there is a strong demand amongst cancer survivors for such information.
These factors have made cancer registries an essential resource for patients, researchers, and care providers for decades. But they are far from the only potential use cases for registry data – and the growing proliferation of novel technologies demonstrates this perfectly.
The Role of Technology Within Cancer Registries
Since the first U.S. cancer registry was established in 1926, the role and value of registries have evolved in tandem with technology. Manual paper-based methods were slowly replaced with digital collection, and this has slowly led to further innovations, from data visualization to the use of machine learning to mine data for hidden patterns.
This is best illustrated through the evolving role of the cancer registrar. The concept of a “cancer registrar” as a distinct and specialized role is a relatively modern phenomenon. Registrars in the first cancer registries were often administrative staff with limited specialist training or skills related to the specific registry role. But this changed over the next 50 years.
As registries became more widespread, both the volume and complexity of cancer data grew. Staff soon required extensive training and education to collect the data in a standardized format – and make proper use of it.
In 1983, the National Cancer Registrars Association (NCRA) created the certified tumor registrar (CTR) credential– recognizing the distinct skillset involved in identifying and abstracting cancer patient data from multiple sources. Today, there are over 5,700 certified registrars, and the credential term was recently changed to Oncology Data Specialist (ODS).
The role of an ODS demonstrates how pivotal information technology and data have become to registries. Rather than a “nice-to-have,” high levels of data literacy and analytic capabilities are now foundational to an effective registrar– a fact that is reshaping the role of cancer registries.
Researchers have already noted that electronic health records (EHRs) improved the efficiency of registry programs; these new innovations will only take things further. However, in order to unlock these powerful new use cases, registry management will have to evolve, too.
Understanding Cancer Registry Management
Cancer registries are complex and require ongoing effort to collect, store, analyze, and report relevant cancer data. This is primarily undertaken by registrars and is collectively referred to as cancer registry management.
A few key tasks registrars are responsible for include:
- Case Identification: Identifying and recording cancer diagnoses from medical records, pathology reports, and imaging data
- Data Abstraction: Extracting relevant patient demographics, tumor characteristics, treatments, and outcomes
- Stage of Disease: Recording and classifying the stage of a patient’s cancer based on established medical guidelines
- Coding and Classification: Standardizing data using systems like ICD-O for accuracy and consistency
- Data Quality Assurance: Ensuring completeness, accuracy, and timeliness of collected data through validation and audits
- Reporting and Analysis: Generating reports for healthcare providers, researchers, and public health agencies to track trends, inform policies, and improve outcomes
How is Cancer Registry Management Evaluated?
The efficacy of registry management boils down to a few essential metrics all registrars should be focused on improving:
- Data Quality
All registry data must be consistent and error-free, ensuring details like tumor site, stage, and treatment are correctly abstracted and coded. Some experts have suggested that misclassification in registry data can limit its reliability and usability within research, noting how registry data does not correlate with randomized control trial (RCT) results.
The North American Association of Central Cancer Registries (NAACCR) uses rigorous Data Quality Indicators to assess the precision of registry records. And it is increasingly common for both internal and external audits to compare registry data with source medical records to measure accuracy. These are based on Standard Setter requirements, such as the Canadian Council of Cancer Registries, Central NPCR, Central State, CoC, and SEER.
- Completeness
The “completeness” of registry data measures the percentage of reportable cancer cases captured compared to estimated total cases; it also refers to the comprehensiveness of the dataset collected, the specification of code values, and the avoidance of omissions. This is essential because incomplete registry data, therefore, creates a misleading or potentially harmful view of cancer incidence, treatment, and various other factors that providers and researchers care about.
- Timeliness
Cancer registries must minimize the time between a cancer diagnosis and its entry into the registry. Delays reduce the usefulness of data for real-time decision-making and limit researchers’ access to reliable, up-to-date information.
The SEER standard requires 98% of cases to be reported within 22 months of diagnosis, while the NAACCR gold certification requires 95% of cases to be reported within 23 months. Failure to meet these targets can harm the cancer center’s reputation and lead to the loss of key accreditations.
3 Common Challenges for Registries
Every cancer registry wants to maximize the quality, completeness, and timeliness of their data. But they are held back by three persistent hurdles:
- Workforce shortages
Finding, hiring, and retaining qualified ODSs is a constant challenge for cancer registries. Consider the following statistics:
- More than 50% of cancer registries report staffing shortages
- Over 60% of registries operate with two or fewer FTEs
- 58% of registries say that another FTE registrar is a “strong” or “urgent” need
Staffing shortages place an extra burden on the workforce and lead to a lot of workplace stress and potential burnout, as well as putting cancer program accreditation at risk. Worse still, a lack of available ODSs limits the efficacy and impact of the registry – creating a negative knock-on effect on patient care, research quality, and overall cancer center operations.
These problems have been well-known for at least a decade, but they have been exacerbated in recent years by an increasing volume of cancer cases.
- Growing Backlogs
Experts project annual cases to more than double by 2050, with a growing population and increased incidence of “early-onset” cancer largely to blame. As a result, understaffed registries have an ever-larger workload to manage – creating growing reporting and abstracting backlogs.
These backlogs create even more stress for ODSs, who operate under constant pressure to “catch up” with the caseload. However, they also impact researchers, who may be left waiting longer for updated statistics or analysis of treatment outcomes.
- Operational Inefficiencies
Cancer registry processes often lag other areas of cancer centers, with ODSs still expected to do casefinding, reporting, and abstracting through manual effort. The average registrar may take 109 minutes to complete a single abstract and report roughly 3.8 cases per day.
This leaves ample opportunity to enhance operational efficiency through automation. Not only would this save ODSs time and effort, but it could also increase the quality and accuracy of data by reducing human error.
How Cancer Registries Can Fuel the Future of Research and Care
Cancer registries have the potential to play a major role in the future of cancer research and care. The future of registries will be defined by how they overcome the challenges discussed above – and which use cases they choose to focus on.
How Can Registries Increase Their Impact?
There is a vast range of potential use cases for registry data, especially as technologies like AI and NLP eliminate logistical limitations such as processing speed and manual effort. A few powerful examples include:
- External Collaboration: A growing number of registries are forming relationships with external organizations to produce larger datasets and more cutting-edge research. For example, Japanese researchers and regulators have used registry data to create “external control groups” for their work.
- Trial Recruitment: Data from HBCRs can be leveraged during the clinical trial design and matching phases to enable principal investigators and recruitment teams to analyze their patient populations and improve trial accrual.
- Registry-Based Clinical Trials: It is increasingly possible to run initiatives such as biomarker and translational research in conjunction with cancer registry data – turning registries from a supporting player into a primary driver of research.
- Novel Data: Registry data can increasingly be combined with other sources of information – from data from patients’ wearables to screening data – to support diagnostics and monitor the efficacy of screening.
However, these will only be possible with the right technology to support ODSs and streamline processes.
What is Required to Facilitate This?
The key to more effective and efficient registry processes is simple: reducing the burden on ODSs and accelerating key processes like casefinding and abstracting. A number of different solutions have been developed to achieve these goals, but the only one that has been validated repeatedly through research is natural language processing (NLP).
Tools like E-Path and E-Path Plus from Inspirata are able to ingest huge volumes of registry data from both structured and unstructured sources – before analyzing the data and completing casefinding or pre-filling abstracts in a matter of seconds. The results are striking:
- Lower Staffing Burden: Previously understaffed registries are able to handle their workload without relying on lower quality outsourced workers or hiring more expensive FTEs.
- Reduced Backlogs: Casefinding and abstracting backlogs are reduced quickly and often completely eliminated, freeing ODSs to focus on other value-generating activities.
- Maximized Value: Cancer centers are able to unlock the hidden insights in their registry data and deliver more value throughout the cancer center.
Inspirata’s tools are already trusted by over 275 organizations – delivering everything discussed here and more.
Want to see how they could help your registry achieve the same?