Evidence map›Paper›PMID 42069561›Full record

ArticleBMC health services research2026

Supporting breast and cervical cancer screening follow-up: qualitative health plan interviews.

Brenna Lin, Kathleen Gruschow, Alana Burke, Xiaofei Zhou, Thomas B Richards, Sepheen C Byron

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers 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

6 authors.

Brenna LinQuality Measurement and Research Group, National Committee for Quality Assurance, 1100 13th St NW 3rd floor, Washington, DC, 20005, USA. blin@ncqa.org.ORCID http://orcid.org/0000-0001-7272-5885
Kathleen GruschowQuality Measurement and Research Group, National Committee for Quality Assurance, 1100 13th St NW 3rd floor, Washington, DC, 20005, USA.
Alana BurkeQuality Measurement and Research Group, National Committee for Quality Assurance, 1100 13th St NW 3rd floor, Washington, DC, 20005, USA.
Xiaofei ZhouQuality Measurement and Research Group, National Committee for Quality Assurance, 1100 13th St NW 3rd floor, Washington, DC, 20005, USA.
Thomas B RichardsDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Sepheen C ByronQuality Measurement and Research Group, National Committee for Quality Assurance, 1100 13th St NW 3rd floor, Washington, DC, 20005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast and cervical cancer represent a significant disease burden. Health care quality measures captured through electronic clinical data systems could be used to assess follow-up of abnormal breast and cervical cancer screening results. The National Committee for Quality Assurance (NCQA) wanted to explore the feasibility of using health plan electronic clinical data systems to develop quality measures for follow-up of abnormal breast and cervical cancer screening test results.

methodsNCQA interviewed quality improvement leaders from ten health plans, recruited through a purposive sample representing varying sizes, geographic regions, and commercial, Medicare, and Medicaid product lines.

resultsHealth plan leaders identified several barriers, including a lack of standardized data integration as well as opportunities such as supporting provider and health system data aggregation and other support.

conclusionsFindings indicate that improved data governance, particularly around data standardization and information technology infrastructure integration, would increase the feasibility of monitoring follow-up after abnormal breast and cervical cancer screening results.

Indexed as

Breast NeoplasmsEarly Detection of CancerUterine Cervical NeoplasmsElectronic Health RecordsFemaleHumansInterviews as TopicQualitative ResearchQuality ImprovementUnited StatesCancer follow-upCancer screeningHealth care quality

Identifiers

PMID42069561
PMCPMC13285012

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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.