Identifying organization-level features important to patient outcomes in cancer care: qualitative interview results with experts

Jennifer Elston Lafata, Soohyun Hwang, Erica S. Breslau, Melanie C. Chansky, Grace C. Huang, Annie Sampson, Sarah Kobrin · 2026

Read Identifying organization-level features important to patient outcomes in cancer care: qualitative interview results with experts by Jennifer Elston Lafata, Soohyun Hwang, Erica S. Breslau, Melanie C. Chansky, Grace C. Huang, Annie Sampson, Sarah Kobrin (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13479602.txt.

Description

Lafata and colleagues interviewed 12 experts in 2026 to identify which features of a care organization, not of individual doctors, shape cancer patient outcomes. The panel mixed organization theorists, cancer clinicians, and the people who build clinical data warehouses. They were asked which organization-level traits matter, and whether those traits could realistically be captured in existing data systems for research and improvement work.

Four feature families stood out: leadership structure and culture, quality monitoring processes, outside incentives, and the support services an organization provides its patients. Experts stressed deliberate attention to equity, noting the same features that lift quality also tend to lift fairness in who benefits from care. Some features are easy to pull from public records, while others resist extraction, so the authors say progress needs healthcare organizations themselves to share data as partners.

Catalog record

CREATORJennifer Elston Lafata, Soohyun Hwang, Erica S. Breslau, Melanie C. Chansky, Grace C. Huang, Annie Sampson, Sarah Kobrin
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE63 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13479602

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