Health Care Encounters Prior to Hospitalization for Cerebral Venous Thrombosis Patients

Author:

Waheed ZeinaORCID,Field Thalia S.ORCID,Zhou Lily W.ORCID

Abstract

ABSTRACT: Background: Unlike other causes of stroke, symptoms in cerebral venous thrombosis (CVT) can be nonspecific at onset with gradual worsening over time. To explore potential opportunities for earlier diagnosis, we analyzed healthcare interactions in the week prior to hospitalization for patients admitted with incident CVT in British Columbia (BC). Methods: We constructed a population-based cohort (2000–2017) using linked patient-level administrative data to identify patients aged ≥18 diagnosed with CVT in BC. We used descriptive analysis to describe the frequency and types of healthcare encounters within the 7 and 3 days prior to hospitalization. Multivariable logistic regression modeling was performed to examine risk factors associated with prior encounters. Results: The cohort included 554 patients (mean age 50.9 years, 55.4% female). Within the 7 days prior to CVT hospitalization, 57.9% of patients had ≥1 outpatient encounter and 5.6% had ≥1 inpatient encounter. In the 3 days prior to hospitalization, 46.8% of patients had ≥1 outpatient encounter and 2.0% had ≥1 inpatient encounter. Women more frequently had outpatient interactions within 7 days (64.8% women vs. 35.2% men, p < 0.001) and 3 days (51.8% vs. 48.2%, p = 0.01) before admission. Common provider specialties for outpatient encounters were general practice (58.0%), emergency (8.3%) and neurology (5.7%). Females had higher odds (OR = 1.79) of having ≥1 outpatient encounter after adjusting for confounding. Conclusions: Within our Canadian cohort, over half of patients had a healthcare encounter within 7 days before their hospitalization with incident CVT. Women more commonly had an outpatient encounter preceding hospital admission.

Publisher

Cambridge University Press (CUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3