Publications by authors named "Yelena Petrosyan"
Background: The interplay between HCV, DM, and DAA therapy is poorly understood. We compared HCV infection characteristics, treatment uptake, and treatment outcomes in patients with and without DM. METHODS: A retrospective cohort study was conducted using data from The Ottawa Hospital Viral Hepatitis Program.
View Article and Find Full Text PDFHistory of alcohol use does not predict HCV direct acting antiviral treatment outcomes.
J Assoc Med Microbiol Infect Dis Can
September 2022
Background: Hepatitis C virus (HCV) infection and excessive alcohol consumption are leading causes of liver disease worldwide. Direct acting antivirals (DAAs) are well-tolerated treatments for HCV infections with high sustained virologic response (SVR) rates. There are limited data assessing the influence of alcohol use on DAA uptake and cure.
View Article and Find Full Text PDFBackground: We sought to compare rates and factors associated with direct acting antiviral (DAA) treatment uptake and sustained virological response (SVR) between Canadian-born and foreign-born patients.
Methods: The study was conducted utilizing a retrospective cohort of hepatitis C virus (HCV)-infected patients assessed at The Ottawa Hospital Viral Hepatitis Clinic between January 2015 and October 2021. Risk factors, income, and clinical characteristics of HCV infection associated with DAA therapy uptake and SVR were compared by immigration status using logistic regression.
Background: Acute kidney injury (AKI) is a serious complication after cardiac surgery. We derived and internally validated a Machine Learning preoperative model to predict cardiac surgery-associated AKI of any severity and compared its performance with parametric statistical models.
Methods: We conducted a retrospective study of adult patients who underwent major cardiac surgery requiring cardiopulmonary bypass between November 1st, 2009 and March 31st, 2015.
Background: Since primary data collection can be time-consuming and expensive, surgical site infections (SSIs) could ideally be monitored using routinely collected administrative data. We derived and internally validated efficient algorithms to identify SSIs within 30 days after surgery with health administrative data, using Machine Learning algorithms.
Methods: All patients enrolled in the National Surgical Quality Improvement Program from the Ottawa Hospital were linked to administrative datasets in Ontario, Canada.
Objectives: This study aimed to: (1) explore whether the quality of overall care for older people with diabetes is differentially affected by types and number of comorbid conditions and (2) examine the association between process of care measures and the likelihood of all-cause hospitalisations.
Design: A population-based, retrospective cohort study.
Setting: The province of Ontario, Canada.
Objectives: To examine the association between surgical site infections (SSIs) and hospital readmissions and all-cause mortality, and to estimate the attributable health care costs of SSIs 1 year following surgery.
Background: SSIs are a common postoperative complication; the long-term impact of SSI on health outcomes and costs has not been formally evaluated.
Methods: This retrospective cohort study included all adult patients who underwent surgery at the 1202-bed teaching hospital in Ottawa, Ontario, Canada, and were included in the National Surgical Quality Improvement Program database between 2010 and 2015.
Background: An increasing number of people are living with multiple chronic conditions and it is unclear which quality indicators should be used to guide care for this population.
Objective: To critically appraise and select the most appropriate set of quality indicators for ambulatory care for older adults with five selected disease combinations.
Methods: A two-round web-based Delphi process was used to critically appraise and select quality of care indicators for older adults with diabetes and comorbidities.
Objectives: To estimate the attributable costs of multimorbidity and assess whether the association between the level of multimorbidity and health system costs varies by socio-demographic factors in young (<65 years) and older (≥65 years) adults living in Ontario, Canada.
Design: A population-based, retrospective cohort study SETTING: The province of Ontario, Canada PARTICIPANTS: 6 639 089 Ontarians who were diagnosed with at least one of 16 selected medical conditions on 1 April 2009.
Main Outcome Measures: From the perspective of the publicly funded healthcare system, total annual healthcare costs were derived from linked provincial health administrative databases using a person-level costing method.
Background: Despite the high prevalence of osteoarthritis and the prominence of primary care in managing this condition, there is no systematic summary of quality indicators applicable for osteoarthritis care in primary care settings.
Objectives: This systematic review aimed to identify evidence-based quality indicators for monitoring, evaluating and improving the quality of care for adults with osteoarthritis in primary care settings.
Methods: Ovid MEDLINE and Ovid EMBASE databases and grey literature, including relevant organizational websites, were searched from 2000 to 2015.
Background: Despite the growing interest in assessing the quality of care for depression, there is little evidence to support measurement of the quality of primary care for depression. This study identified evidence-based quality indicators for monitoring, evaluating and improving the quality of care for depression in primary care settings.
Methods: Ovid MEDLINE and Ovid PsycINFO databases, and grey literature, including relevant organizational websites, were searched from 2000 to 2015.
Objectives: To evaluate the impact of comorbidity on diabetes care quality and diabetes-related hospitalizations and to examine whether associations between the likelihood of diabetes-related hospitalizations and compliance with diabetes testing are modified by type of comorbidity.
Methods: A population-based cohort study of 861 354 adults with diabetes was conducted in Ontario, Canada. The diabetes cohort was categorized into 4 groups defined by their comorbidity statuses: no comorbidity, diabetes-concordant only, diabetes-discordant only, and both concordant and discordant.
Background: Multimorbidity poses a significant clinical challenge and has been linked to greater health services use, including hospitalization; however, we have little knowledge about the influence of contextual factors on outcomes in this population.
Objectives: To describe the extent to which the association between multimorbidity and hospitalization is modified by age, gender, primary care practice model, or continuity of care (COC) among adults with at least one chronic condition.
Methods: A retrospective cohort study with linked population-based administrative data.
Background: Despite research demonstrating the potential effectiveness of Telehomecare for people with Chronic Obstructive Pulmonary Disease and Heart Failure, broad-scale comprehensive evaluations are lacking. This article discusses the qualitative component of a mixed-method program evaluation of Telehomecare in Ontario, Canada. The objective of the qualitative component was to explore the multi-level factors and processes which facilitate or impede the implementation and adoption of the program across three regions where it was first implemented.
View Article and Find Full Text PDFBackground: Multimorbidity, the co-occurrence of two or more chronic conditions, is common among older adults and is known to be associated with high costs and gaps in quality of care. Population-based estimates of multimorbidity are not readily available, which makes future planning a challenge. We aimed to estimate the population-based prevalence and trends of multimorbidity in Ontario, Canada and to examine patterns in the co-occurrence of chronic conditions.
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