Continuum of mammography use among US women: Classification tree analysis

Annie Gjelsvik; Michelle L. Rogers; Melissa A. Clark; Hernando C. Ombao; William Rakowski

doi:10.5993/AJHB.38.4.2

Continuum of mammography use among US women: Classification tree analysis

Annie Gjelsvik^*, Michelle L. Rogers, Melissa A. Clark, Hernando C. Ombao, William Rakowski

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Objectives: To identify women with low mammography utilization. Methods: We used Classification Tree Analysis among women aged 42-80 from the 2008 Behavioral Risk Factor Surveillance System (N = 169,427) to identify sub-groups along a continuum of screening. Results: Women with neither a primary care provider nor health insurance had the lowest utilization (33.9%) and were 2.8% of the sample. Non-smoking women aged 55-80, with a primary care provider, health insurance, and income of $75,000 or more had the highest utilization (90.7%) and comprised 5% of the sample. Conclusion: As access to primary care providers and health insurance increases with the Affordable Care act, classification tree analyses may help to identify women of high priority for intervention.

Original language	English (US)
Pages (from-to)	492-500
Number of pages	9
Journal	American Journal of Health Behavior
Volume	38
Issue number	4
DOIs	https://doi.org/10.5993/AJHB.38.4.2
State	Published - Jul 2014
Externally published	Yes

Keywords

Breast cancer screening
Classification tree analysis (CTA)
Mammography

ASJC Scopus subject areas

Health(social science)
Social Psychology
Public Health, Environmental and Occupational Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5993/AJHB.38.4.2

Cite this

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title = "Continuum of mammography use among US women: Classification tree analysis",

abstract = "Objectives: To identify women with low mammography utilization. Methods: We used Classification Tree Analysis among women aged 42-80 from the 2008 Behavioral Risk Factor Surveillance System (N = 169,427) to identify sub-groups along a continuum of screening. Results: Women with neither a primary care provider nor health insurance had the lowest utilization (33.9%) and were 2.8% of the sample. Non-smoking women aged 55-80, with a primary care provider, health insurance, and income of $75,000 or more had the highest utilization (90.7%) and comprised 5% of the sample. Conclusion: As access to primary care providers and health insurance increases with the Affordable Care act, classification tree analyses may help to identify women of high priority for intervention.",

keywords = "Breast cancer screening, Classification tree analysis (CTA), Mammography",

author = "Annie Gjelsvik and Rogers, {Michelle L.} and Clark, {Melissa A.} and Ombao, {Hernando C.} and William Rakowski",

year = "2014",

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doi = "10.5993/AJHB.38.4.2",

language = "English (US)",

volume = "38",

pages = "492--500",

journal = "American Journal of Health Behavior",

issn = "1087-3244",

publisher = "PNG Publications",

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T1 - Continuum of mammography use among US women

T2 - Classification tree analysis

AU - Gjelsvik, Annie

AU - Rogers, Michelle L.

AU - Clark, Melissa A.

AU - Ombao, Hernando C.

AU - Rakowski, William

PY - 2014/7

Y1 - 2014/7

N2 - Objectives: To identify women with low mammography utilization. Methods: We used Classification Tree Analysis among women aged 42-80 from the 2008 Behavioral Risk Factor Surveillance System (N = 169,427) to identify sub-groups along a continuum of screening. Results: Women with neither a primary care provider nor health insurance had the lowest utilization (33.9%) and were 2.8% of the sample. Non-smoking women aged 55-80, with a primary care provider, health insurance, and income of $75,000 or more had the highest utilization (90.7%) and comprised 5% of the sample. Conclusion: As access to primary care providers and health insurance increases with the Affordable Care act, classification tree analyses may help to identify women of high priority for intervention.

AB - Objectives: To identify women with low mammography utilization. Methods: We used Classification Tree Analysis among women aged 42-80 from the 2008 Behavioral Risk Factor Surveillance System (N = 169,427) to identify sub-groups along a continuum of screening. Results: Women with neither a primary care provider nor health insurance had the lowest utilization (33.9%) and were 2.8% of the sample. Non-smoking women aged 55-80, with a primary care provider, health insurance, and income of $75,000 or more had the highest utilization (90.7%) and comprised 5% of the sample. Conclusion: As access to primary care providers and health insurance increases with the Affordable Care act, classification tree analyses may help to identify women of high priority for intervention.

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Continuum of mammography use among US women: Classification tree analysis

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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