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Identifying factors influencing delays in breast cancer treatment in Kentucky following the 2014 Medicaid expansion
Author(s) -
Bhutiani Neal,
Hicks Adam C.,
Huang Bin,
Chen Quan,
Tucker Thomas C.,
McMasters Kelly M.,
Ajkay Nicolás
Publication year - 2020
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.25914
Subject(s) - medicine , medicaid , breast cancer , oncology , cancer , gerontology , family medicine , gynecology , health care , economics , economic growth
Background and Objectives A previous analysis of breast cancer care after the 2014 Medicaid expansion in Kentucky demonstrated delays in treatment despite a 12% increase in insurance coverage. This study sought to identify factors associated with treatment delays to better focus efforts for improved breast cancer care. Methods The Kentucky Cancer Registry was queried for adult women diagnosed with invasive breast cancer between 2010 and 2016 who underwent up‐front surgery. Demographic, tumor, and treatment characteristics were assessed to identify factors independently associated with treatment delays. Results Among 6225 patients, treatment after Medicaid expansion (odds ratio [OR] = 2.18, 95% confidence interval [CI] = 1.874‐2.535, P < .001), urban residence (OR = 1.362, 95% CI = 1.163‐1.594, P < .001), treatment at an academic center (OR = 1.988, 95% CI = 1.610‐2.455, P < .001), and breast reconstruction (OR = 3.748, 95% CI = 2.780‐5.053, P < .001) were associated with delay from diagnosis to surgery. Delay in postoperative chemotherapy was associated with older age (OR = 1.155,95% CI = 1.002‐1.332, P = .0469), low education level (OR = 1.324, 95% CI = 1.164‐1.506, P < .001), hormone receptor positivity (OR = 1.375, 95% CI = 1.187‐1.593, P < .001), and mastectomy (OR = 1.312, 95% CI = 1.138‐1.513, P < .001). Delay in postoperative radiation was associated with younger age (OR = 1.376, 95% CI = 1.370‐1.382, P < .001), urban residence (OR = 1.741, 95% CI = 1.732‐1.751, P < .001), treatment after Medicaid expansion (OR = 2.007, 95% CI = 1.994‐2.021, P < .001), early stage disease (OR = 5.661, 95% CI = 5.640‐5.682, P < .001), and mastectomy (OR = 1.884, 95% CI = 1.870‐1.898, P < .001). Conclusions Patient, tumor, and socioeconomic factors influence the timing of breast cancer treatment. Improving timeliness of treatment will likely require improvements in outreach, education, and healthcare infrastructure.