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Navigating Missed Visits in HIV Primary Care: Exploring Risk Factors Associated With Missed Visits- [electronic resource]
内容资讯
Navigating Missed Visits in HIV Primary Care: Exploring Risk Factors Associated With Missed Visits- [electronic resource]
자료유형  
 학위논문
Control Number  
0016933846
International Standard Book Number  
9798380199605
Dewey Decimal Classification Number  
614
Main Entry-Personal Name  
Hao, Jiaying.
Publication, Distribution, etc. (Imprint  
[S.l.] : The University of Alabama at Birmingham., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(120 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
General Note  
Advisor: Long, Dustin;Cofield, Stacy.
Dissertation Note  
Thesis (Dr.P.H.)--The University of Alabama at Birmingham, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약The HIV care continuum is a public health model that outlines the steps or stages people with HIV go through from diagnosis to achieving and maintaining viral suppression. Retention in care, a key component of the HIV care continuum, is critical in achieving good health outcomes for people with HIV (PWH) and preventing HIV transmission. Consistent HIV care is essential for the health of PWH as a part of retention in care. Despite no standard measure for retention in care to PWH, the missed (no-show) visits/appointments is one of the most commonly used methods for evaluating retention in HIV care. Reducing the risk of missed visits directly contributes to improving retention in care and overall health for PWH.This dissertation aims to investigate the risk factors associated with missed primary care visits among PWH. The first paper presents a systematic review summarizing reported risk factors for missed HIV visits in studies conducted between 2000 and 2022. The second paper focuses on youth with HIV (YWH), a vulnerable subpopulation of PWH, exploring the specific risk factors associated with missed visits in this group. The final paper develops a predictive model using machine learning algorithms for new-to-care patients, leveraging advanced statistical techniques to predict missed visits with limited patient information.Through a combination of methodologies, this dissertation provides a comprehensive understanding of the risk factors associated with missed visits among PWH. The findings contribute to the existing knowledge base and offer insights into improving retention in HIV care. By identifying and addressing the factors influencing missed visits, healthcare providers and policymakers can develop targeted interventions to enhance retention in care and ultimately improve the health outcomes of PWH.
Subject Added Entry-Topical Term  
Public health.
Subject Added Entry-Topical Term  
Biostatistics.
Subject Added Entry-Topical Term  
Health care management.
Index Term-Uncontrolled  
HIV
Index Term-Uncontrolled  
Machine learning
Index Term-Uncontrolled  
Missed visits
Index Term-Uncontrolled  
Retention
Added Entry-Corporate Name  
The University of Alabama at Birmingham Biostatistics
Host Item Entry  
Dissertations Abstracts International. 85-03B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:641999
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