Department of Epidemiology, University of Washington, Seattle, WA, USA.
Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Prev Med. 2021 Apr;145:106410. doi: 10.1016/j.ypmed.2020.106410. Epub 2020 Dec 31.
One in five U.S. women with health insurance are underscreened for cervical cancer. We sought to identify whether underscreening correlates differed among women with different levels of health care interaction. Among women age 30-64 years who were members of an integrated U.S. health system, we used 2014-2015 electronic health record data to identify underscreened cases (≥3.4 years since last Papanicolaou (Pap) test, n=3352) and screening-adherent controls (<3.4 years since last Pap test, n=45,359) and extracted data on potential underscreening correlates (demographics, health history, and healthcare utilization). We calculated the odds of underscreening in the total population and by subgroups defined by healthcare visits and online health portal usage in the prior 12 months. Underscreening was associated with older age (50-64 vs. 30-39; odds ratio (OR)=1.6; 95%CI=1.4-1.8), current tobacco use (vs. never use; OR=2.1; 95%CI=1.8-2.2), higher BMI (≥35 kg/m vs <25 kg/m, OR=2.0; 95%CI=1.8-2.3), screening non-adherence for colorectal cancer (OR=5.1; 95%CI=4.6-5.7) and breast cancer (OR=8.1, 95%CI=7.2-9.0), and having no recent visit with their primary care provider (PCP) nor recent health portal use (vs. recent PCP visit and portal use; OR=8.4, 95%CI=7.6-9.4). Underscreening correlates were similar between the total study population and within all healthcare interaction groups. Interaction with the healthcare system is associated with lower odds of underscreening, but sociodemographic and health status correlates are similar regardless of primary care visits or online portal use. These data support the need for additional interventions to reach insured women who remain underscreened for cervical cancer.
五分之一的有医疗保险的美国女性未接受宫颈癌筛查。我们试图确定在不同医疗保健互动水平的女性中,未筛查的相关性是否存在差异。在年龄在 30-64 岁之间、属于美国综合医疗系统的成员中,我们使用 2014-2015 年的电子健康记录数据来识别未筛查的病例(自上次巴氏试验(Pap 试验)≥3.4 年,n=3352)和筛查依从性对照(<3.4 年,n=45359),并提取潜在未筛查相关性的相关数据(人口统计学、健康史和医疗保健利用情况)。我们计算了总人群以及在过去 12 个月内有医疗就诊和在线健康门户使用的亚组中未筛查的可能性。未筛查与年龄较大(50-64 岁与 30-39 岁;比值比(OR)=1.6;95%CI=1.4-1.8)、当前吸烟(与从不吸烟相比;OR=2.1;95%CI=1.8-2.2)、较高的 BMI(≥35kg/m 与<25kg/m,OR=2.0;95%CI=1.8-2.3)、结直肠癌(OR=5.1;95%CI=4.6-5.7)和乳腺癌(OR=8.1,95%CI=7.2-9.0)筛查不依从以及没有最近与初级保健医生(PCP)就诊也没有最近使用健康门户(与最近 PCP 就诊和使用门户相比;OR=8.4,95%CI=7.6-9.4)相关。在总研究人群中和在所有医疗保健互动组中,未筛查的相关性相似。与医疗保健系统的互动与较低的未筛查可能性相关,但社会人口统计学和健康状况相关性相似,无论是否有初级保健就诊或在线门户使用。这些数据支持需要额外的干预措施来覆盖仍然未接受宫颈癌筛查的有保险的女性。