ArticleJournal of the American Board of Family Medicine : JABFM2025
Utilizing National Survey Data to Benchmark Comprehensive Care in a Large Health System.
Article in Journal of the American Board of Family Medicine : JABFM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- The 4Cs of Primary Care, Leveraging Artificial Intelligence, and Improving Clinical Practice.Journal of the American Board of Family Medicine : JABFM · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComprehensiveness in primary care is defined as the breadth of services provided by a health care clinician team and is an important metric related to patient outcomes and care delivery. We describe a novel measure of comprehensiveness based on ICD-10 codes.
methodsWe compare the distribution of ICD-10 codes from the care of a large population at a regional academic health system to the distribution of codes from the National Ambulatory Medical Care Survey (NAMCS) using linear regression and the mathematical inner product.
resultsThe linear regression between the pattern of ICD-10 codes for the selected population and the NAMCS has a slope 1.00, 95% CI 0.57:1.43,
conclusionThe distribution of care based on ICD-10 codes provides a stable and possibly generalizable reference for comprehensive care. The inner product of an ICD-10 care distribution and a reference provides a quantitative estimate of comprehensiveness that distinguishes primary care from specialty care.
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