Catchment area and cancer population health research through a novel population-based statewide database: a scoping review - PubMed
- ️Mon Jan 01 2024
Catchment area and cancer population health research through a novel population-based statewide database: a scoping review
Lisa P Spees et al. JNCI Cancer Spectr. 2024.
Abstract
Background: Population-based linked datasets are vital to generate catchment area and population health research. The novel Cancer Information and Population Health Resource (CIPHR) links statewide cancer registry data, public and private insurance claims, and provider- and area-level data, representing more than 80% of North Carolina's large, diverse population of individuals diagnosed with cancer. This scoping review of articles that used CIPHR data characterizes the breadth of research generated and identifies further opportunities for population-based health research.
Methods: Articles published between January 2012 and August 2023 were categorized by cancer site and outcomes examined across the care continuum. Statistically significant associations between patient-, provider-, system-, and policy-level factors and outcomes were summarized.
Results: Among 51 articles, 42 reported results across 23 unique cancer sites and 13 aggregated across multiple sites. The most common outcomes examined were treatment initiation and/or adherence (n = 14), mortality or survival (n = 9), and health-care resource utilization (n = 9). Few articles focused on cancer recurrence (n = 1) or distance to care (n = 1) as outcomes. Many articles discussed racial, ethnic, geographic, and socioeconomic inequities in care.
Conclusions: These findings demonstrate the value of robust, longitudinal, linked, population-based databases to facilitate catchment area and population health research aimed at elucidating cancer risk factors, outcomes, care delivery trends, and inequities that warrant intervention and policy attention. Lessons learned from years of analytics using CIPHR highlight opportunities to explore less frequently studied cancers and outcomes, motivate equity-focused interventions, and inform development of similar resources.
© The Author(s) 2024. Published by Oxford University Press.
Conflict of interest statement
LPS has received salary support paid to her institution for unrelated work from AstraZeneca. SBW has received salary support paid to her institution for unrelated work from AstraZeneca and Pfizer Foundation.
No other authors report conflicts of interest.
Figures
![Figure 1.](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5277/11410196/59b6633fdef2/pkae066f1.gif)
Outcomes across the cancer care continuum [based on Taplin et al. (13)]. To account for the American Cancer Society definition of cancer survivorship, which defines cancer survivor as any individual diagnosed with cancer, we combined the categories “cancer or precursor treatment” and “post-treatment survivorship” into a single category, “treatment and survivorship care.” Within this category, we divided articles into outcome subcategories based on themes such as “treatment initiation and adherence,” “treatment site/provider characteristics,” “recurrence,” “follow-up care,” and “health care resource utilization among patients and survivors.” We also included 2 categories that spanned across the cancer care continuum: “costs of care” and “distance to care.” CIPHR = Cancer Information and Population Health Resource.
![Figure 2.](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5277/11410196/b9eea19bae2f/pkae066f2.gif)
Cancer Information and Population Health Resource articles, stratified by cancer care continuum outcome subcategory.
![Figure 3.](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5277/11410196/f492061b5b26/pkae066f3.gif)
Cancer Information and Population Health Resource articles by cancer type.
![Figure 4.](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5277/11410196/b42f75c2bbd0/pkae066f4.gif)
Cross-tabulation of Cancer Information and Population Health Resource articles, by cancer site and cancer care continuum outcome subcategory. Articles may appear more than once when more than 1 cancer site and/or outcome subcategory was examined. Dx = diagnosis; Tx = treatment.
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