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Navigating Missed Visits in HIV Primary Care: Exploring Risk Factors Associated With Missed Visits- [electronic resource]
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
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:641999