Lisa I Iezzoni1,2, Sowmya R Rao3,4, Nicole D Agaronnik1, Areej El-Jawahri2,5. 1. Health Policy Research Center-Mongan Institute, Massachusetts General Hospital. 2. Department of Medicine, Harvard Medical School. 3. Massachusetts General Hospital Biostatistics Center. 4. Boston University School of Public Health. 5. Division of Hematology/Oncology and Mass General Cancer Center, Massachusetts General Hospital, Boston, MA.
Abstract
INTRODUCTION: Studies suggest that women with disability experience disparities in routine, high-value screening services, including mammograms and Papanicolaou (Pap) tests. However, few studies have explored whether women with disability have higher risks than other women of developing breast or cervical cancers. METHODS: The authors analyzed 2010, 2013, 2015, and 2018 National Health Interview Surveys, which involved civilian, noninstitutionalized US residents, and included supplemental surveys on cancer screening. The authors used self-reported functional status limitations to identify women without disability and women with movement difficulties (MDs) or complex activity limitations (CAL) predating breast or cervical cancer diagnoses. Multivariable models evaluated associations of disability status to cancer diagnosis, adjusting for other variables. Analyses used sampling weights, producing national estimates. RESULTS: The sample included 66,641 women; 24.4% reported MD and 14.5% reported CAL. Compared with women without disability, women with pre-existing MD or CAL had significantly higher rates of breast cancer (2.2% vs. 3.5% and 3.6%, respectively) and cervical cancer (0.6% vs. 0.8% and 1.0%, respectively). Women with disability had significantly lower recent mammography and Pap test rates than women without disability. After adjusting for all covariates, the values for odds ratio (95% confidence interval) of pre-existing CAL for cancer diagnoses were 1.21 (1.01-1.46; P=0.04) for breast cancer and 1.43 (1.04-1.99; P=0.03) for cervical cancer. CONCLUSIONS: Pre-existing disability is associated with a higher likelihood of breast and cervical cancer diagnoses, raising the urgency of eliminating disability disparities in mammography and Pap testing. Further research will need to explore the causes of these higher cancer rates.
INTRODUCTION: Studies suggest that women with disability experience disparities in routine, high-value screening services, including mammograms and Papanicolaou (Pap) tests. However, few studies have explored whether women with disability have higher risks than other women of developing breast or cervical cancers. METHODS: The authors analyzed 2010, 2013, 2015, and 2018 National Health Interview Surveys, which involved civilian, noninstitutionalized US residents, and included supplemental surveys on cancer screening. The authors used self-reported functional status limitations to identify women without disability and women with movement difficulties (MDs) or complex activity limitations (CAL) predating breast or cervical cancer diagnoses. Multivariable models evaluated associations of disability status to cancer diagnosis, adjusting for other variables. Analyses used sampling weights, producing national estimates. RESULTS: The sample included 66,641 women; 24.4% reported MD and 14.5% reported CAL. Compared with women without disability, women with pre-existing MD or CAL had significantly higher rates of breast cancer (2.2% vs. 3.5% and 3.6%, respectively) and cervical cancer (0.6% vs. 0.8% and 1.0%, respectively). Women with disability had significantly lower recent mammography and Pap test rates than women without disability. After adjusting for all covariates, the values for odds ratio (95% confidence interval) of pre-existing CAL for cancer diagnoses were 1.21 (1.01-1.46; P=0.04) for breast cancer and 1.43 (1.04-1.99; P=0.03) for cervical cancer. CONCLUSIONS: Pre-existing disability is associated with a higher likelihood of breast and cervical cancer diagnoses, raising the urgency of eliminating disability disparities in mammography and Pap testing. Further research will need to explore the causes of these higher cancer rates.
Authors: Vicki B Benard; Christopher J Johnson; Trevor D Thompson; Katherine B Roland; Sue Min Lai; Vilma Cokkinides; Florence Tangka; Nikki A Hawkins; Herschel Lawson; Hannah K Weir Journal: Cancer Date: 2008-11-15 Impact factor: 6.860
Authors: Elena M Andresen; Jana J Peterson-Besse; Gloria L Krahn; Emily S Walsh; Willi Horner-Johnson; Lisa I Iezzoni Journal: Womens Health Issues Date: 2013 Jul-Aug