ArticleJournal of general internal medicine2018
Multi-level Influences on Breast Cancer Screening in Primary Care.
Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06305312 (Community Services Navigation to Advance Health Equity in Breast Cancer Screening), which is not on this map. Cited by 4 papers.
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.
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.
Community Services Navigation to Advance Health Equity in Breast Cancer Screening
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Social determinants of health and health inequities in breast cancer screening: a scoping review.Frontiers in public health · 2024Article
- Breast Cancer Risk Assessment and Screening Practices Reported Via an Online Survey.Annals of surgical oncology · 2023Article
- Variation in the receipt of human papilloma virus co-testing for cervical screening: Individual, provider, facility and healthcare system characteristics.Preventive medicine · 2022Article
- Examining Breast Cancer Screening Behavior Among Southern Black Women After the 2009 US Preventive Services Task Force Mammography Guideline Revisions.Journal of community health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundUse of breast cancer screening is influenced by factors associated with patients, primary care providers, practices, and health systems.
objectiveWe examined the relative effects of these nested levels on four breast cancer screening metrics.
designA web-based survey was completed at 15 primary care practices within two health systems representing 306 primary care providers (PCPs) serving 46,944 women with a primary care visit between 1/2011-9/2014. Analyses occurred between 1/2017 and 5/2017. MAIN MEASURES: Across four nested levels (patient, PCP, primary care practice, and health system), frequency distributions and adjusted rates of primary care practice characteristics and survey results for four breast screening metrics (percent screened overall, and percent screened age 40-49, 50-74, and 75+) were reported. We used hierarchical multi-level mixed and random effects analysis to assess the relative influences of PCP, primary care practice, and health system on the breast screening metrics. KEY
resultsOverall, the proportion of women undergoing breast cancer screening was 73.1% (73.4% for ages 40-49, 76.5% for 50-74, and 51.1% for 75+). Patient ethnicity and number of primary care visits were strongly associated with screening rates. After adjusting for woman-level factors, 24% of the overall variation among PCPs was attributable to the primary care practice level, 35% to the health system level, and 41% to the residual variation among PCPs within practice. No specific provider-level characteristics were found to be statistically significant determinants of screening rates.
conclusionsAfter accounting for woman-level characteristics, the remaining variation in breast cancer screening was largely due to provider and health system variation.
Indexed as
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What OpenQuestion holds
Registered trials
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.