抗体阳性患者的保险状况、合并症诊断和丙型肝炎诊断:一项回顾性队列研究。

IF 1.5 Q3 HEALTH POLICY & SERVICES Health Services Research and Managerial Epidemiology Pub Date : 2023-01-01 DOI:10.1177/23333928231175795
Sara H Goodman, Matthew Zahn, Bernadette Boden-Albala, Cynthia M Lakon
{"title":"抗体阳性患者的保险状况、合并症诊断和丙型肝炎诊断:一项回顾性队列研究。","authors":"Sara H Goodman,&nbsp;Matthew Zahn,&nbsp;Bernadette Boden-Albala,&nbsp;Cynthia M Lakon","doi":"10.1177/23333928231175795","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In California, laboratories report all hepatitis C (HCV)-positive antibody tests to the state; however, that does not accurately reflect active infection among those patients without a viral load test confirming a patient's HCV diagnosis. These public health surveillance disease incident records do not include patient details such as comorbidities or insurance status found in electronic medical records (EMRs).</p><p><strong>Objective: </strong>This research seeks to understand how insurance type, insurance status, patient comorbidities, and other sociodemographic factors related to HCV diagnosis as defined by a positive viral load test among HCV antibody-positive persons from January 1, 2010 to March 1, 2020.</p><p><strong>Methods: </strong>HCV antibody-positive individuals reported to the California Reportable Disease Information Exchange (CalREDIE), with a medical record number associated with the University of California, Irvine Medical Center, and an unrestricted EMR (n = 521) were extracted using manual chart review.</p><p><strong>Main outcomes and measures: </strong>HCV diagnosis as indicated in a patient's EMR in the problem list or disease registry.</p><p><strong>Results: </strong>Less than a quarter of patients in this sample were diagnosed as having HCV in their EMR, with 0.4% of those diagnosed (5/116) patients with indicated HCV treatment in the medication field of their charts. After adjusting for multiple comorbidities, a multinomial logistic regression found that the relative risk ratios (RRRs) of HCV diagnosis found that patients with insurance were more likely to be diagnosed compared to those without insurance. When comparing uninsured patients to those with government insurance at the <i>P</i> < .05 level (RRR = 10.61 (95% confidence interval (CI): 4.14-27.22)) and those uninsured to private insurance (RRR = 6.79 (95% CI: 2.31-19.92).</p><p><strong>Conclusions: </strong>These low frequencies of HCV diagnosis among the study population, particularly among the uninsured, indicate a need for increased viral load testing and linkage to care. Reflex testing on existing samples and improving HCV screening and diagnosis can help increase linkage to care and work towards eliminating this disease.</p>","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"10 ","pages":"23333928231175795"},"PeriodicalIF":1.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c4/ce/10.1177_23333928231175795.PMC10184194.pdf","citationCount":"0","resultStr":"{\"title\":\"Insurance Status, Comorbidity Diagnosis, and Hepatitis C Diagnosis Among Antibody-Positive Patients: A Retrospective Cohort Study.\",\"authors\":\"Sara H Goodman,&nbsp;Matthew Zahn,&nbsp;Bernadette Boden-Albala,&nbsp;Cynthia M Lakon\",\"doi\":\"10.1177/23333928231175795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In California, laboratories report all hepatitis C (HCV)-positive antibody tests to the state; however, that does not accurately reflect active infection among those patients without a viral load test confirming a patient's HCV diagnosis. These public health surveillance disease incident records do not include patient details such as comorbidities or insurance status found in electronic medical records (EMRs).</p><p><strong>Objective: </strong>This research seeks to understand how insurance type, insurance status, patient comorbidities, and other sociodemographic factors related to HCV diagnosis as defined by a positive viral load test among HCV antibody-positive persons from January 1, 2010 to March 1, 2020.</p><p><strong>Methods: </strong>HCV antibody-positive individuals reported to the California Reportable Disease Information Exchange (CalREDIE), with a medical record number associated with the University of California, Irvine Medical Center, and an unrestricted EMR (n = 521) were extracted using manual chart review.</p><p><strong>Main outcomes and measures: </strong>HCV diagnosis as indicated in a patient's EMR in the problem list or disease registry.</p><p><strong>Results: </strong>Less than a quarter of patients in this sample were diagnosed as having HCV in their EMR, with 0.4% of those diagnosed (5/116) patients with indicated HCV treatment in the medication field of their charts. After adjusting for multiple comorbidities, a multinomial logistic regression found that the relative risk ratios (RRRs) of HCV diagnosis found that patients with insurance were more likely to be diagnosed compared to those without insurance. When comparing uninsured patients to those with government insurance at the <i>P</i> < .05 level (RRR = 10.61 (95% confidence interval (CI): 4.14-27.22)) and those uninsured to private insurance (RRR = 6.79 (95% CI: 2.31-19.92).</p><p><strong>Conclusions: </strong>These low frequencies of HCV diagnosis among the study population, particularly among the uninsured, indicate a need for increased viral load testing and linkage to care. Reflex testing on existing samples and improving HCV screening and diagnosis can help increase linkage to care and work towards eliminating this disease.</p>\",\"PeriodicalId\":12951,\"journal\":{\"name\":\"Health Services Research and Managerial Epidemiology\",\"volume\":\"10 \",\"pages\":\"23333928231175795\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c4/ce/10.1177_23333928231175795.PMC10184194.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Services Research and Managerial Epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23333928231175795\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Research and Managerial Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23333928231175795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

背景:在加利福尼亚州,实验室向该州报告所有丙型肝炎(HCV)阳性抗体检测;然而,这并不能准确反映那些没有病毒载量测试确认HCV诊断的患者的活动性感染。这些公共卫生监测疾病事件记录不包括电子医疗记录(emr)中发现的合并症或保险状况等患者详细信息。目的:本研究旨在了解2010年1月1日至2020年3月1日HCV抗体阳性人群中病毒载量检测阳性的HCV诊断相关的保险类型、保险状况、患者合并症和其他社会人口学因素。方法:采用手工图表回顾的方法提取到加州可报告性疾病信息交换中心(CalREDIE)报告的HCV抗体阳性个体,这些个体的病历编号与加州大学欧文分校医学中心相关,并使用无限制EMR (n = 521)。主要结果和措施:HCV诊断显示在患者的电子病历问题清单或疾病登记处。结果:该样本中不到四分之一的患者在其EMR中被诊断为HCV,其中0.4%(5/116)的患者在其图表的药物领域指示HCV治疗。在调整多种合并症后,多项逻辑回归发现,HCV诊断的相对风险比(RRRs)发现,有保险的患者比没有保险的患者更有可能被诊断出来。结论:在研究人群中,特别是在没有保险的人群中,HCV诊断的低频率表明需要增加病毒载量检测和与护理的联系。对现有样本进行反射检测和改进丙型肝炎病毒筛查和诊断有助于加强与护理的联系,并努力消除这种疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Insurance Status, Comorbidity Diagnosis, and Hepatitis C Diagnosis Among Antibody-Positive Patients: A Retrospective Cohort Study.

Background: In California, laboratories report all hepatitis C (HCV)-positive antibody tests to the state; however, that does not accurately reflect active infection among those patients without a viral load test confirming a patient's HCV diagnosis. These public health surveillance disease incident records do not include patient details such as comorbidities or insurance status found in electronic medical records (EMRs).

Objective: This research seeks to understand how insurance type, insurance status, patient comorbidities, and other sociodemographic factors related to HCV diagnosis as defined by a positive viral load test among HCV antibody-positive persons from January 1, 2010 to March 1, 2020.

Methods: HCV antibody-positive individuals reported to the California Reportable Disease Information Exchange (CalREDIE), with a medical record number associated with the University of California, Irvine Medical Center, and an unrestricted EMR (n = 521) were extracted using manual chart review.

Main outcomes and measures: HCV diagnosis as indicated in a patient's EMR in the problem list or disease registry.

Results: Less than a quarter of patients in this sample were diagnosed as having HCV in their EMR, with 0.4% of those diagnosed (5/116) patients with indicated HCV treatment in the medication field of their charts. After adjusting for multiple comorbidities, a multinomial logistic regression found that the relative risk ratios (RRRs) of HCV diagnosis found that patients with insurance were more likely to be diagnosed compared to those without insurance. When comparing uninsured patients to those with government insurance at the P < .05 level (RRR = 10.61 (95% confidence interval (CI): 4.14-27.22)) and those uninsured to private insurance (RRR = 6.79 (95% CI: 2.31-19.92).

Conclusions: These low frequencies of HCV diagnosis among the study population, particularly among the uninsured, indicate a need for increased viral load testing and linkage to care. Reflex testing on existing samples and improving HCV screening and diagnosis can help increase linkage to care and work towards eliminating this disease.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.60
自引率
6.20%
发文量
32
审稿时长
12 weeks
期刊最新文献
Developing a Physical Activity Program for Mothers and Their Children at Risk for Diabetes. Impact of the COVID-19 Pandemic on Healthcare Utilization among Medically Underserved Patients with Ambulatory Care Sensitive Conditions. Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United States. Patient Opportunities to Self-Schedule in a Large Multisite, Multispecialty Medical Practice: Program Description and Uptake of 7 Unique Processes for Patients to Successfully Self-Schedule (and Reschedule) Their Medical Appointments. Analysis of Determinants of Stunting and Identifications of Stunting Risk Profiles Among Under 2-Year-Old Children in Ethiopia. A Latent Class Analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1