Fulton Lawrence V, Adepoju Omolola E, Dolezel Diane, Ekin Tahir, Gibbs David, Hewitt Barbara, McLeod Alexander, Liaw Winston, Lieneck Cristian, Ramamonjiarivelo Zo, Shanmugam Ram, Woodward Lechauncey D
Department of Health Administration, College of Health Professions, Texas State University, San Marcos, TX 78666, USA.
Humana Integrated Health Sciences Institute, College of Medicine, University of Houston, Houston, TX 77004, USA.
Healthcare (Basel). 2021 Jul 26;9(8):944. doi: 10.3390/healthcare9080944.
This study estimated the effects of Medicaid Expansion, demographics, socioeconomic status (SES), and health status on disease management of diabetes over time. The hypothesis was that the introduction of the ACA and particularly Medicaid Expansion would increase the following dependent variables (all proportions): (1) provider checks of HbA1c, (2) provider checks of feet, (3) provider checks of eyes, (4) patient education, (5) annual physician checks for diabetes, (6) patient self-checks of blood sugar. Data were available from the Behavioral Risk Factor Surveillance System for 2011 to 2019. We filtered the data to include only patients with diagnosed non-gestational diabetes of age 45 or older ( = 510,991 cases prior to weighting). Linear splines modeled Medicaid Expansion based on state of residence as well as implementation status. Descriptive time series plots showed no major changes in proportions of the dependent variables over time. Quasibinomial analysis showed that implementation of Medicaid Expansion had a statistically negative effect on patient self-checks of blood sugar (odds ratio = 0.971, < 0.001), a statistically positive effect on physician checks of HbA1c (odds ratio = 1.048, < 0.001), a statistically positive effect on feet checks (odds ratio = 1.021, < 0.001), and no other significant effects. Evidence of demographic, SES, and health status disparities existed for most of the dependent variables. This finding was especially significant for HbA1c checks by providers. Barriers to achieving better diabetic care remain and require innovative policy interventions.
本研究评估了医疗补助扩大计划、人口统计学特征、社会经济地位(SES)和健康状况随时间推移对糖尿病疾病管理的影响。研究假设是,《平价医疗法案》的出台,尤其是医疗补助扩大计划,将增加以下因变量(均为比例):(1)医疗服务提供者对糖化血红蛋白(HbA1c)的检查;(2)医疗服务提供者对足部的检查;(3)医疗服务提供者对眼睛的检查;(4)患者教育;(5)糖尿病年度医生检查;(6)患者自我血糖检查。数据来自2011年至2019年的行为风险因素监测系统。我们对数据进行了筛选,仅纳入年龄在45岁及以上的已确诊非妊娠糖尿病患者(加权前有510,991例)。线性样条模型根据居住州以及实施状况对医疗补助扩大计划进行建模。描述性时间序列图显示,随着时间的推移,因变量的比例没有重大变化。准二项式分析表明,医疗补助扩大计划的实施对患者自我血糖检查有统计学上的负面影响(优势比=0.971,P<0.001),对医生对HbA1c的检查有统计学上的正面影响(优势比=1.048,P<0.001),对足部检查有统计学上的正面影响(优势比=1.021,P<0.001),且没有其他显著影响。大多数因变量存在人口统计学、社会经济地位和健康状况差异的证据。这一发现在医疗服务提供者对HbA1c的检查方面尤为显著。实现更好的糖尿病护理仍存在障碍,需要创新的政策干预措施。