ArticleHealth services research2019
What drives variation in spending for breast cancer patients within geographic regions?
Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Psychological Determinants of Physician Variation in End-of-Life Treatment Intensity: A Systematic Review and Meta-Synthesis.Journal of general internal medicine · 2023Pooled it
- Ten Healthcare Delivery Trends and Their Measurement and Methodological Implications for Cancer Health Services Research.Health services research · 2026Article
- Impact of Diagnosis-Related Groups (DRG) reform on cost homogeneity of treatment for patients with malignant tumours.Scientific reports · 2024Article
- Intensity of End-of-Life Care in a Cohort of Commercially Insured Women With Metastatic Breast Cancer in the United States.JCO oncology practice · 2021Article
- Primary care physician practice styles and patient care: Evidence from physician exits in Medicare.Journal of health economics · 2020Article
- The association of provider and practice factors with HIV antiretroviral therapy adherence.AIDS (London, England) · 2019Article
- What drives variation in spending for breast cancer patients within geographic regions?Health services research · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectiveTo estimate and describe factors driving variation in spending for breast cancer patients within geographic region. DATA SOURCE: Surveillance, Epidemiology, and End Results (SEER)-Medicare database from 2009-2013. STUDY
designThe proportion of variation in monthly medical spending within geographic region attributed to patient and physician factors was estimated using multilevel regression models with individual patient and physician random effects. Using sequential models, we estimated the contribution of differences in patient and disease characteristics or use of cancer treatment modalities to patient-level and physician-level variance in spending. Services associated with high spending physicians were estimated using linear regression. DATA EXTRACTION
methodA total of 20 818 women with a breast cancer diagnosis in 2010-2011. PRINCIPAL
findingsWe observed substantial between-patient and between-provider variation in spending following diagnosis and at the end-of-life. Immediately following diagnosis, 48% of between-patient and 31% of between-physician variation were driven by differences in delivery of cancer treatment modalities to similar patients. At the end-of-life, patients of high spending physicians had twice as many inpatient days, double the chemotherapy spending, and slightly more hospice days.
conclusionsSimilar patients receive very different treatments, which yield significant differences in spending. Efforts to reduce unwanted variation may need to target treatment choices within patient-doctor discussions.
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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.