“Staffing standards” is one issue that oncology social workers mention frequently to researchers. It is possible to use research results to compare staffing levels at your own cancer center with those at similar centers. Often, when oncology social workers have shown administrators that their staffing is below that of other cancer centers, they have been able to hire more social workers. Here is some information to help you calculate a comparison.
Step 1: Determine the Number of Oncology Social Workers in Your Cancer Center. Use your cancer registry to clarify the number of social workers dedicated specifically to oncology. You will need to use a FTE (full-time equivalent) if the total number includes some part-time workers. For example, if you have three full-time workers and one who works four days a week, your number of OSWs is 3.80 FTE.
Step 2: Determine the Number of Cases or the Number of Visits to Your Cancer Center per Year. Compare your center on the basis of your caseload and/or on coverage.
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Step 3: Calculate Your Ratio(s).
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Step 4: Compare the Staffing Ratio(s) at Your Center to Others.
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1. Table 1. Caseload Staffing Ratios for Commission on Cancer-Accredited Cancer Programs
Type of Cancer Center | Best Case 1 SW FTE: # Analytic Cases |
Worst Case 1 SW FTE: # Analytic Cases |
NCI-designated cancer programs | 1:389 | 1:2,061 |
Comprehensive Community cancer programs | 1:131 | 1:3,014 |
Community cancer programs | 1:224 | 1:1,437 |
Academic cancer programs | 1:270 | 1:1,380 |
Other | 1:158 | 1:612 |
Staffing ratios based on caseloads (“analytic cases”) showed wide variations at all the types of cancer centers.
2. Table 2. Coverage Staffing Ratios for Commission on Cancer-Accredited Cancer Programs
Type of Cancer Center | Best Case 1 SW FTE: # of visits |
Worst Case 1 SW FTE: # of visits |
NCI-designated cancer programs | 1:3,600 | 1:25,343 |
Comprehensive Community cancer programs | 1:1,455 | 1:126,431 |
Community cancer programs | 1:1,535 | 1:29,714 |
Academic cancer programs | 1:1,572 | 1:37,961 |
Other | 1:1,162 | 1:39,673 |
Staffing ratios based on “coverage” (number of visits) also showed a wide range.
3. You can now compare the staffing ratio at your cancer center with those found at other similar institutions. Is yours similar to the low end of the range (Best Case) or more like those institutions at the high range (Worst Case)? Do you think your staffing ratio makes sense? For example, if your caseload ratio is higher than competing cancer programs, can administrators legitimately claim high quality cancer care if other cancer programs have better social work staffing ratios and thus are more likely to be addressing patient concerns? Consider also if there are special considerations that would make your staffing needs differ from other similar institutions.
For example, is your population more likely to need social work services because of social, economic or clinical conditions that increase the likelihood of patients utilizing more costly services? In this case, even if your ratio is in the low range, you may be able to make a case to your administration that additional social work staff is needed. If you are comparing on the basis of coverage, consider the staffing ratio in light of the policies of your institution. Are patients screened at every visit or only at the initial visit? Do social workers see all patients, or only those with high distress scores?
Another way to use distress screening data to address staffing ratios is to see how your rate of distress compares with national data. (APAQCC found that about 50 percent of screened patients had scores of 4 and above on the Distress Thermometer.) If your population has higher levels of distress, this could also further your argument for the need for additional staff.
This article focused on how to use research data from the APAQCC project to compare your staffing ratio to that of other centers of similar types. There are many other ways to use research to enhance practice. For example, data on Distress Screening adherence in the article recently published in JNCCN can be used to see how your cancer center compares to others. That is, what percent of patients are not screened? Screened, but not referred to social work? Referred but never seen by social work staff?
As our social work research enterprise advances, we will be armed with the data clinicians need to make arguments for oncology social work’s added value in terms of impact on patient outcomes and experiences as well as cost reductions and institutional efficiencies.