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Using Collaborative Staging Data In Reports Authored By Ted Williamson, MD, PhD, CTR Teresa Mason, RHIT, CTR and Dianne Cleveland, RHIA, CTR

Using Collaborative Staging Data In Reports

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Using Collaborative Staging Data In Reports. Authored By Ted Williamson, MD, PhD, CTR Teresa Mason, RHIT, CTR and Dianne Cleveland, RHIA, CTR. Part One: Collaborative Staging. CS Task Force was organized in 1998 Develop a translation between TNM and SEER - PowerPoint PPT Presentation

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Page 1: Using Collaborative Staging Data In Reports

Using Collaborative Staging Data In

Reports

Authored By Ted Williamson, MD, PhD, CTR

Teresa Mason, RHIT, CTR and Dianne Cleveland, RHIA, CTR

Page 2: Using Collaborative Staging Data In Reports

Part One: Collaborative Staging

• CS Task Force was organized in 1998• Develop a translation between TNM and SEER• Eliminate duplicate data collection by registrars• Address the concerns of clinicians for more clinically

relevant data• Deal with data reproducibility over time• Improve compatibility between SEER and NCDB and

expand data-sharing opportunities

Page 3: Using Collaborative Staging Data In Reports

CS Data Input Involves Just 13 Fields, but, 9 Site-Specific Fields………

Page 4: Using Collaborative Staging Data In Reports

And 94 Different Sites, resulting

in 1316 Coding Tables

Page 5: Using Collaborative Staging Data In Reports

The CS Innovation:Standardized Calculation of

Stage• You enter data into the 13 fields.

• Your registry program passes this data plus histology, behavior, grade, age to a program developed at CDC.

• The CDC program runs edits. If no errors are found, computes derived AJCC TNM and SEER staging.

• The CDC program passes results back to your registry software system.

Page 6: Using Collaborative Staging Data In Reports

CS Data Is Returned in Two Formats

• Storage codes – sent in NAACCR & NCDB records. Software must store them but may not display them.

• Display strings - physician and registrar friendly.

T S

Page 7: Using Collaborative Staging Data In Reports

CS - In Summary• CS is surprisingly functional in spite of its complexity.

• Benefits are CS long-term, particularly in stage-based comparative studies of treatment and outcomes.

• Automated translation of data to summary codes along with edits that identify CS coding errors help maintain error free data.

• CS is not saving abstracting time!

Page 8: Using Collaborative Staging Data In Reports

Part Two:Exploring Ways To Use CS Data

How to extract the CS data from your software system in various forms such as spreadsheets, using tools such as MS Excel.

You got it in, now let’s see how to get it out!

Page 9: Using Collaborative Staging Data In Reports

Proposed Project: Staging Quality Assessment

• Question: How does physician TNM staging compare to CS TNM derived staging?

• How do we present this?

• Suggested Data Fields:– Basic diagnostic fields– Physician TNM & CS TNM Derived

Staging– Any other pertinent standard or

custom user-defined data fields

Page 10: Using Collaborative Staging Data In Reports

Good Points to Remember (before getting started)

• Make the spreadsheet format and content as general as possible. You may want to use it over and over again.

• We suggest you export as a TAB delimited text file. This will give you important flexibility when you bring the data back into Excel. Include column headers.

• If you can, export staging data in the NAACCR reporting format (1A, 3B, etc.) rather than the classic form (T1A, SIIIB, …) or the CS storage code (29, 30, 31, 32, …). Much easier to work with.

Page 11: Using Collaborative Staging Data In Reports

If Your Excel Toolbar Looks Like This…

You’re not ready to go to work yet.

Page 12: Using Collaborative Staging Data In Reports

Essential Excel Tool Buttons for

Registry Data Operations

Page 13: Using Collaborative Staging Data In Reports

14 Excel Buttons Essential to Registry Work

Page 14: Using Collaborative Staging Data In Reports

Using Excel Import Wizard

Page 15: Using Collaborative Staging Data In Reports
Page 16: Using Collaborative Staging Data In Reports
Page 17: Using Collaborative Staging Data In Reports

Remove Unneeded Columns

Page 18: Using Collaborative Staging Data In Reports

The Result May Need Some Clean Up

• Some cases have no data.

• Many cases have one or both stages marked as 99 or unknown.

• For some cases staging is not applicable (88).

• Derived stage is in the “classic” AJCC format.

• “A” and “B” subgroups would be difficult to deal with quantitatively.

Page 19: Using Collaborative Staging Data In Reports

Fortunately – Excel Has Tools

• Right click on the corner box.

• The entire worksheet is highlighted.

Page 20: Using Collaborative Staging Data In Reports

Autofilters

• Click on the “Autofilter” icon.

• Click on the arrow by the cS column header. A list of all encountered values appears.

• Click on “88.”

Page 21: Using Collaborative Staging Data In Reports

This Is a Cool Tool!

• You have filtered out all but the rows with a clinical stage group of “88”.

• Click on first cell, second row and drag down to the last row with data.

• Click on the “delete rows” icon.

Page 22: Using Collaborative Staging Data In Reports

What Happened to My Data?

• Click again on the autofilter arrow in column B.

• The 88’s are missing from the occurrence table.

• Click on (All).

Page 23: Using Collaborative Staging Data In Reports

Nothing Lost!• The data re-appears,

without rows containing ’88’.

• • Repeat the process for the

99’s, blanks and other data you can’t use in your study.

• As the occurrence table shows, this column is clean.

• Now do the same for CS Derived Stage.

Page 24: Using Collaborative Staging Data In Reports

Two Problems Remain

• For the report we need simple Arabic numbers for comparison.

• Derived stage is in Roman numerals.

• Both staging systems have suffix A’s, B’s, etc.

Page 25: Using Collaborative Staging Data In Reports

Tidy up the Romans First

• Click on the column label cell – the column is highlighted.

• Click Edit on the menu bar.• Click Replace on the menu.• Enter “IV” in Find what and

“4” in Replace with:• Click Replace All.

Repeat the process forIII, II, and I

Page 26: Using Collaborative Staging Data In Reports

Get Rid of The Suffixes

• Click in D2 and enter the formula “=LEFT(B2,1)”.

• This captures the first character in cell B2 and places it in D2.

• Now, click on D2, put your cursor on the little square in the lower right corner and drag down to fill all the rows.

Page 27: Using Collaborative Staging Data In Reports

Repeat in Column E

• Copy D2 to E2 (the formula is copied and updated for cell position).

• Copy the contents of E2 down the column.

• Mission accomplished!

Page 28: Using Collaborative Staging Data In Reports

Doing the Math

• Click in F2 and enter the formula “=D2-E2”

• Click again in F2 and drag on the corner, down the column.

• The result is a table of differences between physician TNM stage and CS derived stage.

Page 29: Using Collaborative Staging Data In Reports

Label and Mark

• Put a label in F1

• Click in the middle of F1 and drag down to the bottom row with data.

Page 30: Using Collaborative Staging Data In Reports

Launch Pivot Table

• Click on the Pivot Table button.

• Click Next on Wizard Step 1.

• Click Next on Wizard Step 2.

• Click Finish on Wizard Step 3.

• Excel is really smart.

Page 31: Using Collaborative Staging Data In Reports

Drag

• Drag column title to “Drop Row Fields Here”.

• Drag column title to “Drop Data Items Here.

Page 32: Using Collaborative Staging Data In Reports

Almost There!

• Excel calculated a numeric sum for each score.

• Click on the Pivot Table Field button.

• Change Summarize by to “Count” and click OK.

Page 33: Using Collaborative Staging Data In Reports

That’s Better

• Now the “Total” represents the number of cases with each score.

• To present the data in a graph format, click on the graph button.

Page 34: Using Collaborative Staging Data In Reports

The First Cut – You Will Need To Tune It Up

•Right Click in the “Count” Box

•Select Hide…

Page 35: Using Collaborative Staging Data In Reports

After Using Some Standard Excel

Chart Formatting Tools…

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With These Basic Principles, Many Questions Can Be Answered With CS

Data• How does ER status correlate to hormone use in

breast cancer patients.

• What is the average number of lymph nodes resected in Stage III colorectal cancer?

• How often are colorectal cases upstaged by surgery?

• Which doctor does the best staging?

• Which sites are most successfully staged?

Page 37: Using Collaborative Staging Data In Reports

More QA Opportunities

Some Ideas:

Use custom fields to code deviations such as physician TNM vs Derived.

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Quality Assurance Opportunities

• Identify data discrepancies

• Determine why there are discrepancies (physician education, registry staff training, etc)

• Develop a plan to resolve the issue

• Implement the plan

• Measure the results

Page 39: Using Collaborative Staging Data In Reports

Comparing SEER Summary 2000 to Derived SEER

Consider looking at differences in SEER Summary Staging and Derived SEER.

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Using Collaborative Staging Data In Reports

Start using your CS data.

You got it in, now you know how to get it out.