AHRQ Quality Data Sources Organizer: a planning guide
Five data sources from the AHRQ National Healthcare Quality and Disparities Report, each described across seven columns. Six of those columns are transcription; the primary-versus-secondary call and the how-it-might-be-used column are the ones carrying the marks.
Editorial process
Last reviewed · August 5, 2026
Which columns of the organizer actually carry marks?
This looks like a data-entry exercise and is graded like a judgement exercise. Five of the seven columns — data source, primary content, population targeted, demographic data, schedule — can be filled by reading each source's own documentation carefully. The other two cannot. Is this a source of primary or secondary data? requires you to decide what the data was originally collected for, and how, when and where the information might be used requires you to say something the source's own website does not. Those two columns are where an organizer stops being a transcription and starts being an argument, so budget your effort accordingly rather than spreading it evenly across a grid that looks uniform. The grid's uniform appearance is what misleads: seven columns of equal width imply seven tasks of equal weight, and they are not. Read the two judgement columns first and let them drive which five sources you pick.
The primary-versus-secondary distinction is the single thing most often got wrong, because people apply the wrong test. The question is not who published the data or whether you personally collected it. It is whether the data was generated for the purpose it is now serving. A national survey that interviews households to measure health care use is collecting primary data, even though you are a secondary user of it. An administrative database built from hospital billing records is secondary data no matter how authoritative the agency releasing it, because those records exist to get claims paid and were repurposed for research afterwards. Apply that test source by source and the column becomes defensible instead of guessed. Write the reason into the cell rather than only the verdict, because a bare "secondary" is indistinguishable from a guess and the reasoning is the part being assessed.
One practical choice shapes the whole submission: pick five sources that differ from each other. The report draws on more than 250 measures across many settings, so five household surveys would fill the grid while demonstrating nothing about range. A survey, an administrative claims database, a registry, a vital-statistics or census source, and a facility-reported measure set will make the schedule and primary/secondary columns actually vary — which is what lets the final column say something useful about when each source can answer a question and when it is already too old. Deliberate variety also protects the final column from repetition: five sources that collect differently get used differently, so each row has something distinct to say about when and where its data can answer a quality question rather than restating the row above it.
Likely learning objectives
Inferred from the brief — check these against your own rubric.
- 01Distinguish primary from secondary data by what the data was originally collected for, rather than by who is publishing it.
- 02Read a data source's documentation for its sampling frame, target population and release schedule.
- 03Judge which quality questions a source can answer and which its schedule or scope rules out.
- 04Likely assessed on whether the five sources chosen demonstrate range across the health care system rather than five instances of one collection method.
Read the full question
Review every instruction before using the planning guidance that follows.
Course-wide instructions that accompany this question
You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes. Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages. Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor. The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
Turn the brief into deliverables
- 01Five data sources selected from the 2017 National Healthcare Quality and Disparities Report data sources list.
- 02A completed Quality Data Sources Organizer row for each, covering all seven required components: data source, primary content, population targeted, demographic data, schedule, primary or secondary, and how/when/where the information might be used.
- 03An explicit primary-or-secondary determination for every one of the five — the brief lists it as its own component, not as a remark.
- 04Proofread prose. The brief attaches an unusually detailed warning about relying on spell-check and about padding through formatting.
How should the five data sources be chosen and compared?
Pull the data sources list from the 2017 report
Work from the NHQDR's own list of contributing sources so the five you describe are ones the report actually used.
Choose five that differ
Spread the selection across collection methods — survey, administrative claims, registry, vital statistics or census, facility-reported measures.
Fill the descriptive columns from documentation
Record primary content, population targeted, demographic variables and release schedule from each source's own technical documentation, not from summaries about it.
Decide primary versus secondary, with the reason
Apply the collected-for-this-purpose test to each source and record the determination.
Say how, when and where each might be used
Name a concrete quality or disparities question each source could answer, and let the schedule column constrain the answer.
Where to read each NHQDR data source's own documentation
Recommended databases
- AHRQ NHQDR data sources list (topic materials)
- MEPS documentation
- HCUP-US
- CMS Research, Statistics, Data & Systems
- US Census Bureau
Search sequence
- 1.Open the 2017 NHQDR data sources list from the topic materials first and shortlist candidates from it, rather than choosing sources and checking afterwards whether the report used them.
- 2.For each shortlisted source, find its own methodology or technical documentation page — that is where sampling frame, target population and release schedule are stated precisely.
- 3.For the primary/secondary column, look specifically for why the data was originally collected; administrative sources usually say so in their overview.
- 4.Check each source's release lag, not just its frequency, since a source published annually can still describe a data year two or three years old.
The data sources behind the AHRQ quality report
These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.
Nothing here is cleared for citation until you have read it.
- 01
Medical Expenditure Panel Survey (MEPS)
Agency for Healthcare Research and Quality · 2026
The clearest primary-data example in the NHQDR set: MEPS interviews households and their providers to measure health care use, cost and insurance coverage. Use it to anchor the primary end of the primary/secondary column, and note its data-year lag when you fill the schedule column.
- 02
HCUP-US Home Page (Healthcare Cost and Utilization Project)
Agency for Healthcare Research and Quality · 2026
The contrasting secondary-data case: HCUP databases are built from hospital administrative and billing records that exist to process claims and were repurposed for research. Cite it to show that an authoritative federal source can still be secondary data.
- 03
Research, Statistics, Data & Systems
Centers for Medicare & Medicaid Services · 2026
CMS claims and assessment data covering Medicare and Medicaid populations — useful when your population-targeted column needs a source that is explicitly restricted to a programme population rather than nationally representative.
- 04
American Community Survey (ACS)
United States Census Bureau · 2026
The demographic denominators that disparities measures are calculated against. Good for the demographic-data column, and for showing why a source with rich demographics but no clinical content still matters to a quality report.
Review before submission
Common mistakes
- Deciding primary versus secondary by who published the data. The test is what the data was originally collected for — an administrative claims database stays secondary however authoritative the agency releasing it.
- Choosing five sources of the same kind, usually five national surveys, so the schedule and primary/secondary columns come out nearly identical and the comparison demonstrates nothing.
- Filling the how/when/where column with a restatement of the primary-content column instead of naming a question the source could answer.
- Reading release frequency as currency. A source published annually can still describe a data year two or three years back, and that lag is what decides whether it can answer a question about present performance.
- Substituting a newer NHQDR edition without saying so. The brief specifies the 2017 report and its data sources list.
- Treating the demographic-data column as a yes/no. Which characteristics are captured, and at what granularity, is the part that matters for a disparities report.
Submission checklist
- Five data sources, all drawn from the 2017 NHQDR data sources list.
- All seven components completed for every source, with none of the five rows left partly filled.
- The five sources differ by collection method, not just by name.
- Every primary/secondary determination rests on what the data was collected for, and the same test is applied across all five.
- The schedule entries distinguish release frequency from data-year lag.
- The how/when/where column names a specific quality or disparities question per source.
- Proofread aloud once, per the brief's own instruction, rather than relying on spell-check.
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Written by
Aaron Bishop
MA, Education
assignment interpretation and research-methods coaching across disciplines
Aaron leads the EssayCrackers editorial desk. He works on how assignment briefs are read — what a rubric is actually asking for, and where students most often answer a different question than the one set.
Reviewed by
Dr. Nathan Cole
PhD, Rhetoric & Composition
Argumentation and thesis development
Nathan teaches first-year composition and directs a university writing center. He reviews EssayCrackers guides for argumentative soundness and citation accuracy.