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Data Quality & Completeness Flashcards

7 cards from real CTR practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which NAACCR data item is used to assess whether a case was identified through active or passive case-finding methods?

    Answer: Type of Reporting Source

    Type of Reporting Source identifies how a case came to the registry's attention, which helps evaluate completeness of case-finding.

  2. A registry receives a death certificate for a patient with cancer diagnosed at an out-of-state facility. This case should be abstracted as a:

    Answer: Death certificate only (DCO) case

    When the only source of information about a cancer diagnosis is the death certificate, the case is classified as a death certificate only (DCO) case.

  3. Which metric best measures a registry's ability to capture all reportable cases within a defined population?

    Answer: Case completeness rate

    Case completeness rate, often estimated through death certificate linkage or independent case-finding audits, measures how well a registry captures all eligible cases.

  4. Under STORE manual guidelines, which condition would cause a case to be flagged as a potential duplicate?

    Answer: Same patient name, date of birth, and primary site at different facilities

    Potential duplicates are identified when the same patient demographic data and cancer site appear in multiple submissions, suggesting the same case was reported more than once.

  5. A registry quality control audit finds that 8% of cases are missing the Lymph-vascular Invasion data item. The BEST corrective action is to:

    Answer: Implement targeted reabstracting of cases with missing data and retrain staff

    Reabstracting and retraining address both the existing data gap and the root cause to prevent future missing data.

  6. What is the primary purpose of the NAACCR Inter-rater Reliability Study in data quality assessment?

    Answer: To measure consistency of abstraction decisions between different registrars

    Inter-rater reliability studies compare abstraction decisions across multiple registrars to identify inconsistencies in data interpretation and coding.

  7. Which of the following is an example of a 'logic edit' in cancer registry data quality checks?

    Answer: Flagging a male patient coded with cervical cancer

    Logic edits cross-check related fields for clinical plausibility, such as ensuring sex-specific diagnoses align with the patient's recorded sex.

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Sources & references

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  1. ncra-usa.org — Renewal, eligibility, passing score, retake policy, score release, test dates, time limit, test delivery, fees, registration deadline · verified Oct 2026