ArticleHealth services research2022
The role of all-payer claims databases to expand central cancer registries: Experience from Colorado.
Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Estimating True Patient Cost-Sharing Burden: Multi-Payer Claim Reconciliation in an All-Payer Claims Database.Medical care research and review : MCRR · 2026Article
- Surveillance of Pharmaceutical Risk-Mitigation Behavior: Applying and Comparing Statistical Process Control Methods Using Real World Data.Learning health systems · 2026Article
- Sex Differences in Young Adult Stroke Severity Using Linked Colorado-All Payer's Claims Database and the Get With The Guidelines-Stroke Registry.Journal of the American Heart Association · 2026Article
- County-level medical debt and treatment initiation among individuals newly diagnosed with cancer.Cancer · 2025Article
- High-Cost Cancer Drug Use in Medicare Advantage and Traditional Medicare.JAMA health forum · 2025Article
- Graph-Based Prediction of Spatio-Temporal Vaccine Hesitancy From Insurance Claims Data.IEEE access : practical innovations, open solutions · 2025Article
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients.Cancer causes & control : CCC · 2025Article
- Cancer information and population health resource: a resource for catchment area data and cancer outcomes research.JNCI cancer spectrum · 2024Article
- Sampling coverage of the Arkansas all-payer claims database by County's persistent poverty designation.Health services research · 2024Article
- Building Data Infrastructure for Disease-Focused Health Economics Research.Medical care · 2023Article
- Comparison of primary payer in cancer registry and discharge data.The American journal of managed care · 2023Article
- Post-Acute Care Outcomes of Cancer Patients <65 Reveal Disparities in Care Near the End of Life.Journal of palliative medicine · 2023Article
- Treatment Disparities in Radiation and Hormone Therapy Among Women Covered by Medicaid vs Private Insurance in Cancer Registry and Claims Data.JAMA health forum · 2023Observational
- Consistency Between State's Cancer Registry and All-Payer Claims Database in Documented Radiation Therapy Among Patients Who Received Breast Conservative Surgery.JCO clinical cancer informatics · 2023Article
- Integrated database-based Screening Cohort for Asian Nomadic descendants in China (Scan-China): Insights on prospective ethnicity-focused cancer screening.Epidemiology and health · 2023Article
- The role of all-payer claims databases to expand central cancer registries: Experience from Colorado.Health services research · 2022Article
- Cancer Treatment Data in Central Cancer Registries: When Are Supplemental Data Needed?Cancer informatics · 2022Article
- Recognizing the emergency department's role in oncologic care: a review of the literature on unplanned acute care.Emergency cancer care · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveTo evaluate the quality of a multiyear linkage between the Colorado all-payer claims database (APCD) and the Colorado Central Cancer Registry. DATA SOURCES: Secondary 2012-2017 data from the APCD and the Colorado Cancer Registry. STUDY
designDescriptive analysis of the proportion of cases captured by the linkage in relation to the cases reported by the registry. DATA COLLECTION/EXTRACTION
methodsWe used probabilistic linkage to combine records from both data sources for all patients diagnosed with cancer.
resultsWe successfully linked 93% of the 146,884 patients in the registry. Approximately 63% of linked patients were perfect matches on five identifiers. Of partial matches, 81.6% were matched on four identifiers with missing or partial Social Security Numbers. The linkage rate was lower for uninsured patients at diagnosis (74.7%) or patients with private plans (89.4%) but close to 100% for Medicare and Medicaid enrollees. Most of the 29% of patients who did not have claims at the time of diagnosis were covered by private plans that may not submit claims.
conclusionsAPCD-registry linkages are a promising source of data to conduct population-based research from multiple payers. However, not all payers submit claims, and the quality of the data may vary by state.
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