Evidence map›Paper›PMID 42265724›Full record

ArticleBMC health services research2026

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

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jennifer Elston LafataUniversity of North Carolina Eshelman School of Pharmacy and Lineberger Comprehensive Cancer Center, 2214 Kerr Hall, Campus Box 7573, Chapel Hill, NC, 27599, USA. jel@email.unc.edu.
Soohyun HwangUniversity of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
Erica S BreslauHealthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Melanie C ChanskyWestat, Rockville, MD, USA.
Grace C HuangWestat, Rockville, MD, USA.
Annie SampsonHealthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Sarah KobrinHealthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAddressing quality and equity requires understanding organization-level features that affect patient outcomes. Using cancer care as the context, we aimed to identify organization-level features important to patient-level outcomes and assess the feasibility of including them in clinical data warehouses.

methodsIn-depth interviews were conducted with 12 experts, including academicians with expertise in organizational theory and implementation science, oncology practitioners, and clinical data warehouse developers. Members of the research team developed a semi-structured interview guide to identify organization-level features perceived as important to patient outcomes, and the measurability and obtainability of identified features. Interviews were audio-recorded and transcribed verbatim. De-identified transcript data were organized using NVivo 12 and analyzed using thematic analyses.

resultsAnalysis revealed key organization-level features important to care quality, including leadership structure and culture, quality monitoring processes, external incentives, and support service provision. Respondents highlighted the importance of intentionality to equity, and how many of the same organization features affecting quality also affect equity. Some features were deemed readily knowable, while others presented measurement challenges to extract from existing data resources or to collect de novo. Given their ownership of the data in the US, collaboration with healthcare organizations will be essential for advancing organization-level measurement in the US.

conclusionsUnderstanding organization-level features is vital for enhancing care quality and promoting equity in cancer care and otherwise. Leveraging publicly available information and fostering partnerships between healthcare organizations and researchers could facilitate the compilation of relevant data. External incentives and measurement development initiatives could afford further advancement. Findings contribute to the understanding of organization-level determinants of cancer care quality and equity, offering practical avenues for research, data collection, and improved care and outcomes.

Indexed as

NeoplasmsQuality of Health CareHumansInterviews as TopicLeadershipOrganizational CultureQualitative ResearchCancer care deliveryClinical data warehouseEquityHealth care organizationImplementation scienceQuality

Identifiers

PMID42265724
PMCPMC13479602

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.