Factors Associated with Adherence to Mammography Screening Among Insured Women Differ by Income Levels

Wambui Gathirua-Mwangi, Andrea Cohee, Will L. Tarver, Andrew Marley, Erika Biederman, Timothy Stump, Patrick Monahan, Susan Rawl, Celette Sugg Skinner, Victoria Champion

Research output: Contribution to journalArticle

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Abstract

Background: Breast cancer is the second leading cause of cancer mortality, yet mammography screening rates remain less than optimal and differ by income levels. The purpose of this study was to compare factors predicting mammography adherence across income groups. Methods: Women 41 to 75 years of age (N = 1,681) with health insurance and with no mammogram in the last 15 months were enrolled to participate in an interventional study. Binary logistic regression was used to estimate multivariable-adjusted odds ratios (ORs) for demographic and health belief factors predicting mammography adherence for each income group: 1) low, less than $30,000, 2) middle, $30,000 to 75,000, and 3) high, greater than $75,000 per year. Results: Being in the contemplation stage (vs. precontemplation) of obtaining a mammogram predicted mammography adherence across all income groups and was the only predictor in the middle-income group (OR, 3.9; 95% CI, 2.61–5.89). Increase in age was associated with 5% increase (per year increase in age) in mammography adherence for low-income (OR, 1.05; 95% CI, 1.01–1.09) and high-income (OR, 1.05; 95% CI, 1.02–1.08) women. Having a doctor recommendation predicted mammography adherence only in low-income women (OR, 10.6; 95% CI, 2.33–48.26), whereas an increase in perceived barriers predicted mammography adherence only among high-income women (OR, 0.96; 95% CI, 0.94–0.99). In a post hoc analysis, high-income women reported difficulty in remembering appointments (53%) and lack of time to get a mammogram (24%) as key barriers. Conclusions: For all income groups, being in contemplation of obtaining a mammogram predicted mammography adherence; however, age predicted mammography adherence for low- and high-income groups, whereas doctor recommendation and perceived barriers were unique predictors for low- and high-income women, respectively. Health care providers should be aware of differences in factors and emphasize strategies that increase mammography adherence for each income group.

Original languageEnglish (US)
JournalWomen's Health Issues
DOIs
StateAccepted/In press - Jan 1 2018

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Mammography
income
Odds Ratio
low income
Group
cancer
health insurance
Health Insurance
mortality
logistics
Health Personnel
health care
regression

ASJC Scopus subject areas

  • Health(social science)
  • Obstetrics and Gynecology
  • Public Health, Environmental and Occupational Health
  • Maternity and Midwifery

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Factors Associated with Adherence to Mammography Screening Among Insured Women Differ by Income Levels. / Gathirua-Mwangi, Wambui; Cohee, Andrea; Tarver, Will L.; Marley, Andrew; Biederman, Erika; Stump, Timothy; Monahan, Patrick; Rawl, Susan; Skinner, Celette Sugg; Champion, Victoria.

In: Women's Health Issues, 01.01.2018.

Research output: Contribution to journalArticle

Gathirua-Mwangi, Wambui ; Cohee, Andrea ; Tarver, Will L. ; Marley, Andrew ; Biederman, Erika ; Stump, Timothy ; Monahan, Patrick ; Rawl, Susan ; Skinner, Celette Sugg ; Champion, Victoria. / Factors Associated with Adherence to Mammography Screening Among Insured Women Differ by Income Levels. In: Women's Health Issues. 2018.
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abstract = "Background: Breast cancer is the second leading cause of cancer mortality, yet mammography screening rates remain less than optimal and differ by income levels. The purpose of this study was to compare factors predicting mammography adherence across income groups. Methods: Women 41 to 75 years of age (N = 1,681) with health insurance and with no mammogram in the last 15 months were enrolled to participate in an interventional study. Binary logistic regression was used to estimate multivariable-adjusted odds ratios (ORs) for demographic and health belief factors predicting mammography adherence for each income group: 1) low, less than $30,000, 2) middle, $30,000 to 75,000, and 3) high, greater than $75,000 per year. Results: Being in the contemplation stage (vs. precontemplation) of obtaining a mammogram predicted mammography adherence across all income groups and was the only predictor in the middle-income group (OR, 3.9; 95{\%} CI, 2.61–5.89). Increase in age was associated with 5{\%} increase (per year increase in age) in mammography adherence for low-income (OR, 1.05; 95{\%} CI, 1.01–1.09) and high-income (OR, 1.05; 95{\%} CI, 1.02–1.08) women. Having a doctor recommendation predicted mammography adherence only in low-income women (OR, 10.6; 95{\%} CI, 2.33–48.26), whereas an increase in perceived barriers predicted mammography adherence only among high-income women (OR, 0.96; 95{\%} CI, 0.94–0.99). In a post hoc analysis, high-income women reported difficulty in remembering appointments (53{\%}) and lack of time to get a mammogram (24{\%}) as key barriers. Conclusions: For all income groups, being in contemplation of obtaining a mammogram predicted mammography adherence; however, age predicted mammography adherence for low- and high-income groups, whereas doctor recommendation and perceived barriers were unique predictors for low- and high-income women, respectively. Health care providers should be aware of differences in factors and emphasize strategies that increase mammography adherence for each income group.",
author = "Wambui Gathirua-Mwangi and Andrea Cohee and Tarver, {Will L.} and Andrew Marley and Erika Biederman and Timothy Stump and Patrick Monahan and Susan Rawl and Skinner, {Celette Sugg} and Victoria Champion",
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AU - Gathirua-Mwangi, Wambui

AU - Cohee, Andrea

AU - Tarver, Will L.

AU - Marley, Andrew

AU - Biederman, Erika

AU - Stump, Timothy

AU - Monahan, Patrick

AU - Rawl, Susan

AU - Skinner, Celette Sugg

AU - Champion, Victoria

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Background: Breast cancer is the second leading cause of cancer mortality, yet mammography screening rates remain less than optimal and differ by income levels. The purpose of this study was to compare factors predicting mammography adherence across income groups. Methods: Women 41 to 75 years of age (N = 1,681) with health insurance and with no mammogram in the last 15 months were enrolled to participate in an interventional study. Binary logistic regression was used to estimate multivariable-adjusted odds ratios (ORs) for demographic and health belief factors predicting mammography adherence for each income group: 1) low, less than $30,000, 2) middle, $30,000 to 75,000, and 3) high, greater than $75,000 per year. Results: Being in the contemplation stage (vs. precontemplation) of obtaining a mammogram predicted mammography adherence across all income groups and was the only predictor in the middle-income group (OR, 3.9; 95% CI, 2.61–5.89). Increase in age was associated with 5% increase (per year increase in age) in mammography adherence for low-income (OR, 1.05; 95% CI, 1.01–1.09) and high-income (OR, 1.05; 95% CI, 1.02–1.08) women. Having a doctor recommendation predicted mammography adherence only in low-income women (OR, 10.6; 95% CI, 2.33–48.26), whereas an increase in perceived barriers predicted mammography adherence only among high-income women (OR, 0.96; 95% CI, 0.94–0.99). In a post hoc analysis, high-income women reported difficulty in remembering appointments (53%) and lack of time to get a mammogram (24%) as key barriers. Conclusions: For all income groups, being in contemplation of obtaining a mammogram predicted mammography adherence; however, age predicted mammography adherence for low- and high-income groups, whereas doctor recommendation and perceived barriers were unique predictors for low- and high-income women, respectively. Health care providers should be aware of differences in factors and emphasize strategies that increase mammography adherence for each income group.

AB - Background: Breast cancer is the second leading cause of cancer mortality, yet mammography screening rates remain less than optimal and differ by income levels. The purpose of this study was to compare factors predicting mammography adherence across income groups. Methods: Women 41 to 75 years of age (N = 1,681) with health insurance and with no mammogram in the last 15 months were enrolled to participate in an interventional study. Binary logistic regression was used to estimate multivariable-adjusted odds ratios (ORs) for demographic and health belief factors predicting mammography adherence for each income group: 1) low, less than $30,000, 2) middle, $30,000 to 75,000, and 3) high, greater than $75,000 per year. Results: Being in the contemplation stage (vs. precontemplation) of obtaining a mammogram predicted mammography adherence across all income groups and was the only predictor in the middle-income group (OR, 3.9; 95% CI, 2.61–5.89). Increase in age was associated with 5% increase (per year increase in age) in mammography adherence for low-income (OR, 1.05; 95% CI, 1.01–1.09) and high-income (OR, 1.05; 95% CI, 1.02–1.08) women. Having a doctor recommendation predicted mammography adherence only in low-income women (OR, 10.6; 95% CI, 2.33–48.26), whereas an increase in perceived barriers predicted mammography adherence only among high-income women (OR, 0.96; 95% CI, 0.94–0.99). In a post hoc analysis, high-income women reported difficulty in remembering appointments (53%) and lack of time to get a mammogram (24%) as key barriers. Conclusions: For all income groups, being in contemplation of obtaining a mammogram predicted mammography adherence; however, age predicted mammography adherence for low- and high-income groups, whereas doctor recommendation and perceived barriers were unique predictors for low- and high-income women, respectively. Health care providers should be aware of differences in factors and emphasize strategies that increase mammography adherence for each income group.

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