The Centers for Disease Control and Prevention's National Program of Cancer Registries is a federally funded surveillance program that provides support and assistance to state and territorial health departments for the operation of cancer registries. The objective of this study was to identify factors associated with the Centers for Disease Control and Prevention's costs to report cancer cases during the first 5 years of the National Program of Cancer Registries.
Information on expenditures and number of cases reported through the National Program of Cancer Registries was used to estimate the average cost per case reported for each state program. Additional information was obtained from other sources, and regression analyses were used to assess the contribution of each factor.
Average costs of the National Program of Cancer Registries differed substantially among programs and were inversely associated with the number of cases reported (
The apparent existence of economies of scale suggests that contiguous state programs might benefit from sharing infrastructure and other fixed costs, such as database management resources, depending on the geographic area and population size served. Sharing database management resources might also promote uniform data collection and quality control practices, reduce the information-sharing burden among states, and allow more resources to be used for other cancer prevention and control activities.
The National Institutes of Health (NIH) estimated that in 2003, the annual direct and indirect costs of cancer were approximately $189.5 billion (
Data from the Centers for Disease Control and Prevention's (CDC's) federally funded state- or territory-managed surveillance programs, including the National Program of Cancer Registries (NPCR), are routinely used to report the incidence (i.e., new occurrence) of diseases and track the health of the U.S. population (
The purpose of our analysis was to gain insight into factors associated with the average NPCR cost to report an incident case of cancer through population-based cancer registry programs funded during the NPCR's first 5 years.
Before the NPCR was established, many states did not have a cancer registry, and the states that did generally lacked the resources and legislative support to collect high-quality data that were complete and timely (
After the first program announcement (
Cancer registries in the remaining five states (Connecticut, Hawaii, Iowa, New Mexico, and Utah) receive federal support from the National Cancer Institute's (NCI's) Surveillance, Epidemiology, and End Results (SEER) Program (
NPCR-funded cancer registries are required to collect and report information on all state residents who are diagnosed or treated with in situ or invasive cancer, including residents who are diagnosed and treated outside their state of residence. In 2000, the CDC began to receive, evaluate, and publish data from participating cancer registry programs (
To promote standardization among state programs, cancer registries collect and report data using uniform codes and procedures established by the North American Association of Central Cancer Registries (NAACCR) (
Federal funding and data collection and reporting activities of state cancer registries supported by the National Program of Cancer Registries (NPCR) during the first 5-year project period. Data from 43 states and the District of Columbia are included.
To be eligible for inclusion in this analysis, state health departments or their designees 1) had to have received federal funds from the NPCR and 2) by 2002, had to have collected and reported cancer incidence data to the CDC for at least 2 consecutive years. The analysis was restricted to 43 state programs and the District of Columbia (referred to collectively as
Each January, the cancer registries report their cumulative incidence data to the CDC, beginning with their reference year. For this analysis, we used the total number of incident cases (in situ and invasive) diagnosed from the state's reference year through 1999 (as reported to the CDC in January 2002, approximately 24 months after the close of the 1999 diagnosis year) (
We obtained the amounts of federal funds allocated to state health departments (or their designees) from the Grant Management Information System (GMIS) maintained by the CDC. GMIS contains information on federal funds that were available to each state program at the beginning of each grant period and the amount that remained unused at the end. We calculated the NPCR cost for each year by subtracting the amount of unused funds from the amount awarded. We converted these costs to year 2000 dollars using the U.S. consumer price index (CPI) (
Registries are expected to report high-quality incidence data to the CDC approximately 24 months after the close of each diagnosis year. However, resources spent in a given grant period cannot be apportioned to the year cases were diagnosed because in any given grant period, registries can use a portion of their federal funds to collect current incidence data and use the remaining funds to prepare previous years' incidence data for reporting to the CDC. For example, federal funds from grant periods in the October 1998 to June 2000 time frame were used to collect and report data for cases diagnosed in 1999.
Because we could not determine how much federal money from each grant period was used to report incident cases for a particular diagnosis year, we decided to calculate the average monthly funds spent in the period that 1) began with each program's reference month and year and 2) ended on June 30, 2000. We multiplied this amount by 12 to determine the average annual federal funds spent. We estimated the average number of cases diagnosed each year by adding the total number of cases reported, beginning with the program's reference year and ending with 1999 incident cases. We determined the average annual number of reported cases by dividing the total number of cases by the number of diagnosis years as reported to the CDC. Dividing the average annual federal funds spent by the average annual number of cases reported yielded an estimate of the average annual NPCR cost to report an incident case of cancer for each NPCR-funded state surveillance program. Before collecting and reporting data, planning programs had a 1- to 2-year start-up period in which they planned and implemented their cancer registries. Because no output measures (i.e., number of cases) were tracked during the start-up period, we did not consider the amount of federal funds spent during this time when calculating average NPCR costs for planning programs.
Scatter plots suggested a curvilinear relationship between average cost (the dependent variable) and number of cases reported (the output levels), so we used log–log transformations of these variables. In addition to output levels, we examined other registry characteristics, including the way in which the funding was administered (i.e., by the state health department or a designee); whether the state program was an existing (enhancement) or a new (planning) program; whether the state program had high-quality data, such as the 1999 incidence data that were published in the
We used linear regression analyses to assess the relationship between the log average NPCR cost per case reported and explanatory factors. Using SAS, version 8 (SAS Institute Inc, Cary, NC), we performed multivariate modeling with backward elimination (
The average annual federal funds spent, the average annual number of cases reported, and the average NPCR cost per case reported varied substantially among state programs (
Observed and predicted log average National Program of Cancer Registries (NPCR) cost per case reported compared with the log of number of cases reported for programs participating in the first 5-year funding period of the program. Model contained average annual number of cancer cases reported, area (per 1000 sq miles), NPCR program type (enhancement or planning), and the 2000 consumer price index.
The results (
We used results from the parsimonious regression model (
During the first 5-year project period of the NPCR, notable progress was made toward establishing an infrastructure for nationwide cancer surveillance (
The major finding of this analysis is that the average NPCR cost to report a case of cancer decreases as output levels (i.e., incident cases) increase. Such an apparent economies-of-scale relationship was found in an economic analysis of the CDC's National Breast and Cervical Cancer Early Detection Program (NBCCEDP), in which the output measure was the number of women screened for breast and cervical cancer and the number of cancer cases detected through screening (
The average NPCR cost to report a case of cancer increases with increasing geographic coverage. Although cancer registries encourage electronic data reporting from outlying reporting facilities (e.g., hospital cancer registries, pathology laboratories, treatment facilities), routine surveillance and quality-assurance activities often involve visits from central cancer registry staff members to doctors' offices and hospitals to ensure that all incident cancer cases are reported accurately and in a timely manner. Increased geographic coverage may result in the hiring of additional staff members to coordinate regional activities. The compensation of the additional employees and their subsequent travel-related expenses increase the average cost to report a case.
In addition, the average NPCR cost to report a case of cancer is higher in regions of the United States with higher costs of living (as measured by the regional CPI). General operating costs, including employee compensation, are higher in New England than in the South, where living costs are lower.
On average, incident cases of cancer cost less to report through an enhancement program than through a planning program. This finding is not surprising, given that enhancement programs receive maintenance and matching funds from their respective state health departments, whereas states are not required to provide financial support to planning programs. In addition, enhancement programs were established before they began receiving NPCR funding, although we are unsure to what extent this affected the cost to report a case of cancer. As registries entered the second 5-year NPCR project period that began in 2000, nine state programs transitioned from receiving planning funding to receiving enhancement funding and began receiving financial or in-kind support from their state health departments as a condition of federal funding. Two states (South Dakota and Tennessee) and the three territories are still classified as planning programs in the current project period.
If state registry operations could be conducted more efficiently, more funds would be available for their state's cancer prevention and control activities. The existence of economies of scale in federally funded, state-managed surveillance programs suggests that states with fewer cases might benefit from integrating program services with neighboring states (e.g., by sharing resources and other fixed-cost expenses), depending on their geographic area and population size. In addition to reducing costs, sharing database management resources may promote uniform data collection and quality control practices while making it easier for states to share information about residents who receive diagnostic and treatment services outside their state of residence.
This analysis has several limitations. Although we identified several important factors that seem to influence the average annual NPCR cost to report an incident case of cancer, we have underestimated the total cost for reporting a case of cancer. Comprehensive information on state support for the operation of cancer registries was not factored into our cost estimates. In addition to financial support, some states provide their registries with an indeterminate amount of direct or in-kind support from private and public health care facilities in the form of facility resources and staff time for surveillance-related activities. In addition, our NPCR costs do not include the total federal costs. Metropolitan-area and special-population cancer registries participating in the SEER Program received federal support through the NCI, and these funds were not included in our analyses. However, because the majority of NPCR-funded state programs presumably received the majority of their financial support from the CDC, the direction, if not the magnitude, of the relationships we observed are most likely correct.
Although the average NPCR cost to report a case of cancer seems to be higher in regions of the United States with higher costs of living, we may have underestimated the true impact of the CPI on registry operations. Given that the regions are large and geographically diverse, intraregional living costs may be as large as or larger than the interregional variability.
Because of the relatively small number of state programs (44 programs), this study may have lacked the statistical power to definitively identify all factors influencing costs. Although having a SEER Program registry within an NPCR-funded state and having high-quality incidence data were not significantly associated with the average NPCR cost to report a case of cancer through the state program, the direction of the coefficients suggests that these factors might help explain variations in cost per case reported. The coefficient for having a SEER Program registry within NPCR-funded cancer registries catchment areas was negative, suggesting a lower average NPCR cost when some of the cases are collected and reported through the SEER Program registry. Similarly, the coefficient for having data that met the criteria for inclusion in the
A scatter plot comparison of the predicted and observed costs to report a case of cancer by each state program reveals that large variations exist among NPCR-funded state programs (
We thank William E. Wright, PhD, Department of Health Services, Sacramento, Calif, for his thoughtful comments on and review of the manuscript.
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
Average Annual Funds Spent, Cancer Cases Reported, and Cost per Case Reported During the First 5-Year Project Period of the National Program of Cancer Registries (NPCR)
| Average annual NPCR funds spent | $382,698/$312,698 | $251,420 | $120,464 (Delaware)-$1,080,370 (Texas) |
| Average annual number of cancer cases reported | 27,353/18,999 | 28,843 | 1929 (Alaska)-132,525 (California) |
| Average annual NPCR cost per case reported | $29.20/$18.43 | $38.71 | $3.45 (Michigan)- $234.52 (Alaska) |
Registry and State Characteristics of Programs Participating in the National Program of Cancer Registries (NPCR)
| Yes | 9 | 20.5 |
| No | 35 | 79.5 |
| Enhancement (existing registry) | 35 | 79.5 |
| Planning (newly established registry) | 9 | 20.5 |
| Yes | 33 | 75.0 |
| No | 11 | 25.0 |
| Yes | 6 | 13.6 |
| No | 38 | 86.4 |
| South (167.2) | 16 | 36.4 |
| West (174.8) | 10 | 22.7 |
| Midwest (168.3) | 10 | 22.7 |
| Northeast (179.4) | 8 | 18.2 |
| Percentage of urban population (1990 census) | 68.4 (15.4) | 32.2 (Vermont)- |
| Area (sq miles) | 7194 (9073) | 61.4 (District of Columbia)-570,374 (Alaska) |
Treated as a continuous variable in the analysis.
Linear Regression Model of Log Average Cost per Case Reported for Selected Registry and State Characteristics of Programs Participating in the First 5-Year Project Period of the National Program of Cancer Registries (NPCR)
| | ||
|---|---|---|
| Log average annual cancer cases reported | –.571
| –.565 |
| Area (per 1000 sq miles) | .002 | .002 |
| NPCR program type (enhancement vs planning) | –.374 | –.315 |
| 2000 consumer price index | .023 | .025 |
| High-quality 1999 incidence data | .079 | NA |
| Percentage of urban population (1990 census) | <.002 | NA |
| Surveillance Epidemiology and End Results Program metropolitan area or special population within NPCR catchment area | –.063 | NA |
| NPCR program administered by designee | .010 | NA |
Adjusted R2: full model, 0.73; parsimonious model, 0.71. NA indicates not applicable.