Classifying people living with hepatitis C virus using a population-level latent class analysis to understand association with treatment uptake and optimize integration of health services
department or school: Medicine, Faculty of
department or school: Population and Public Health (SPPH), School of
data provider: DSpace
degree campus: UBCV
creator: Clementi, Emilia Marialuisa
issued: 2020-05-04T20:01:12Z
issued: 2020
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: Background Hepatitis C virus (HCV) infection affects diverse populations such as people who inject drugs (PWID), 'baby boomers' (BB’s), gay, bisexual, and other men who have sex with men (gbMSM), and immigrants from HCV endemic regions. Assessing patterns of shared characteristics, the burden of syndemics, and the likelihood of treatment uptake among subpopulations may facilitate targeted program planning. Methods The BC Hepatitis Testers Cohort includes all HCV cases identified in BC from 1990 to 2015 followed up to 2018 and linked with data on medical visits, emergency department visits, hospitalizations, cancers, prescription drugs, and deaths. Latent Class Analysis was used to group people diagnosed with HCV according to shared characteristics previously shown to be related to HCV acquisition, transmission, retention in care and/or treatment uptake. Models were fitted step-wise, with the best fitting model chosen based on fit statistics, epidemiological meaningfulness, and maximisation of posterior probability for class assignment. Latent class groups were named based on defining characteristics and analysed for their association with treatment uptake (based on first treatment course). Results The best fitting latent class model had six groups, with names and characteristics as follows: Younger PWID (n=11,563): people born >1974, mental illness, material deprivation, recent injection drug use (IDU). Older PWID (n=15,266): past IDU, HIV, HBV, TB coinfections, alcohol misuse. gbMSM (n=12,698): gbMSM, material privilege, no liver disease. People of Asian Backgrounds (n=4,718): East/South Asians, people born <1945, social privilege, no alcohol misuse/mental illness. Rural BB (n=20,401): rural dwellers, BBs, heterosexuals, no HIV. Urban socially deprived BB (n=12,698): urbanites, liver disease, social deprivation, no IDU. Compared to Younger PWID, groups with higher odds of treatment uptake were People of Asian Backgrounds and Rural BB. Compared to all other groups, …
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/74309
note: CLASSIFYING PEOPLE LIVING WITH HEPATITIS C VIRUS USING A POPULATION-LEVEL LATENT CLASS ANALYSIS TO UNDERSTAND ASSOCIATION WITH TREATMENT UPTAKE AND OPTIMIZE INTEGRATION OF HEALTH SERVICES by EMILIA MARIALUISA CLEMENTI BA (Honours), Connecticut College, 2018 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIRMENTS FOR THE DEGREE OF MASTER OF SCIENCE in The Faculty of Graduate Studies and Postdoctoral Studies (Population and Public Health) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) April 2020 © Emilia Marialuisa Clementi, 2020 ii The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, a thesis entitled: “Classifying people living with hepatitis C virus using a population-level latent class analysis to understand association with treatment uptake and optimize integration of health services” submitted by Emilia Clementi in partial fulfillment of the requirements of the degree of Master of Science in Population and Public Health Examining Committee: Naveed Janjua, Professor, School of Population and Public Health, UBC Supervisor Michael Otterstatter, Professor, School of Population and Public Health, UBC Supervisory Committee Member Jane Buxton, Professor, School of Population and Public Health, UBC Supervisory Committee Member Michael Law, Professor, School of Population and Public Health, UBC Additional Examiner iii Abstract Background Hepatitis C virus (HCV) infection affects diverse populations such as people who inject drugs (PWID), 'baby boomers' (BB’s), gay, bisexual, and other men who have sex with men (gbMSM), and immigrants from HCV endemic regions. Assessing patterns of shared characteristics, the burden of syndemics, and the likelihood of treatment uptake among subpopulations may facilitate targeted program planning. Methods The BC Hepatitis Testers Cohort includes all HCV cases identified in BC from 1990 to 2015 followed up to 2018 and linked with data on medical visits,…
has type: Thesis/Dissertation
date issued: 2020-05
is shown at: 10.14288/1.0390304
language: eng
degree discipline: Population and Public Health
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/74309