Building Data Infrastructure for Disease-Focused Health Economics Research
Bibliographic Data
| ID | 9102700 |
|---|---|
| Authors | Cathy J Bradley (0000-0001-8586-8009, University of Colorado Cancer Center Aurora, CO), Rifei Liang (0000-0003-3260-7213, University of Colorado Cancer Center Aurora, CO, corresponding author), Richard C Lindrooth (0000-0001-9538-9749, Colorado School of Public Health), Lindsay M Sabik (0000-0002-0613-4929, University of Pittsburgh School of Public Health, Department of Health Policy and Management, Pittsburgh, PA), Marcelo Coca Perraillon (0000-0003-3355-3720, Colorado School of Public Health, corresponding author) |
| Year | 2023 |
| Volume | 61 |
| Issue | 12 |
| Pages | S147-S152 |
| Publication date | 2023-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000001904 |
| PMID | 37963034 |
| OpenAlex | W4388669150 |
| Language | EN |
| Citations received | 1 |
| References cited | 30 |
BACKGROUND: Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages capture patient-centered economic outcomes, including those driven by insurance and influence health equity, and can serve as a prototype for health economics research. OBJECTIVES: To describe and assess the utility of a linkage between the Colorado APCD and Colorado Central Cancer Registry (CCCR) data for 2012-2017. RESEARCH DESIGN, PARTICIPANTS, AND MEASURES: This cohort study of 91,883 insured patients evaluated the Colorado APCD-CCCR linkage on its suitability to assess demographics, area-level data, insurance, and out-of-pocket expenses 3 and 6 months after cancer diagnosis. RESULTS: The linkage had high validity, with over 90% of patients in the CCCR linked to the APCD, but gaps in APCD health plans limited available claims at diagnosis. We highlight the advantages of the CCCR-APCD, such as granular race and ethnicity classification, area-level data, the ability to capture supplemental plans, medical and pharmacy out-of-pocket expenses, and transitions in insurance plans. CONCLUSIONS: Linked data between registries and APCDs can be a cornerstone of a robust data infrastructure and spur innovations in health economics research on cost, quality, and outcomes. A larger infrastructure could comprise a network of state APCDs that maintain linkages for research and surveillance
Actuarial science · Alternative medicine · Business · Database · Economic growth · Economics · Equity (law) · Health care · Health insurance · Medical Expenditure Panel Survey · Outcomes research · Economic and Financial Impacts of Cancer · Global Cancer Incidence and Screening · Healthcare Policy and Management · Medicine
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| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |