Evgeniya Reshetnyak
Dados Biográficos
| ID | 5537556 |
|---|---|
| NOME | Evgeniya Reshetnyak |
| PRENOMES | Evgeniya |
| SOBRENOME | Reshetnyak |
| ASSINATURA | RESHETNYAK E |
| AFILIAÇÕES | Weill Cornell Medicine |
| ORCID | 0000-0001-9478-4405 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2016 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
Development and validation of mortality prediction models based on the social determinants of health
BACKGROUND: There is no standardised approach to screening adults for social risk factors. The goal of this study was to develop mortality risk prediction models based on the social determinants of health (SDoH) for clinical risk stratification. METHODS: Data were used from REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a national, population-based, longitudinal cohort of black and white Americans aged ≥45 recruited betw…
Ambulatory Care Fragmentation and Subsequent Hospitalization
BACKGROUND: Previous studies have suggested that highly fragmented ambulatory care increases the risk of subsequent hospitalization, but those studies used claims only and were not able to adjust for many clinical potential confounders. OBJECTIVE: The objective of this study was to determine the association between fragmented ambulatory care and subsequent hospitalization, adjusting for demographics, medical conditions, medications, health behavi…
Racial Disparities in Preventable Adverse Events Attributed to Poor Care Coordination Reported in a National Study of Older US Adults
BACKGROUND: Previous work found that Black patients experience worse care coordination than White patients. OBJECTIVE: The aim was to determine if there are racial disparities in self-reported adverse events that could have been prevented with better communication. RESEARCH DESIGN: We used data from a cross-sectional survey that was administered to participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study in 2017…
Implementation of Video Visits During Covid-19
Background: During the height of the coronavirus (COVID-19) pandemic, there was an unprecedented demand for “virtual visits,” or ambulatory visits conducted via video interface, in order to decrease the risk of transmission. Objective: To describe the implementation and evaluation of a video visit program at a large, academic primary care practice in New York, NY, the epicenter of the COVID-19 pandemic. Design and Participants: We included consec…
Using health-related quality of life to predict cardiovascular disease events
Full Information Maximum Likelihood Estimation for Latent Variable Interactions With Incomplete Indicators
Researchers have developed missing data handling techniques for estimating interaction effects in multiple regression. Extending to latent variable interactions, we investigated full information maximum likelihood (FIML) estimation to handle incompletely observed indicators for product indicator (PI) and latent moderated structural equations (LMS) methods. Drawing on the analytic work on missing data handling techniques in multiple regression wit…
Using Marginal Structural Modeling for Grade Retention Effects
Vandecandelaere, Vansteelandt, De Fraine, and Van Damme (this issue) described marginal structural modeling (MSM) and used it to estimate the effects of a time-varying intervention, retention (holding back) in school grades, on students' math achievement. This commentary supplements Vandecandelaere et al. (this issue) and discusses several topics in retention studies and MSM. First, we discuss the importance of equating time-varying confounders i…
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Using Marginal Structural Modeling for Grade Retention Effects
Vandecandelaere, Vansteelandt, De Fraine, and Van Damme (this issue) described marginal structural modeling (MSM) and used it to estimate the effects of a time-varying intervention, retention (holding back) in school grades, on students' math achievement. This commentary supplements Vandecandelaere et al. (this issue) and discusses several topics in retention studies and MSM. First, we discuss the importance of equating time-varying confounders i…
Full Information Maximum Likelihood Estimation for Latent Variable Interactions With Incomplete Indicators
Researchers have developed missing data handling techniques for estimating interaction effects in multiple regression. Extending to latent variable interactions, we investigated full information maximum likelihood (FIML) estimation to handle incompletely observed indicators for product indicator (PI) and latent moderated structural equations (LMS) methods. Drawing on the analytic work on missing data handling techniques in multiple regression wit…
Using health-related quality of life to predict cardiovascular disease events
Implementation of Video Visits During Covid-19
Background: During the height of the coronavirus (COVID-19) pandemic, there was an unprecedented demand for “virtual visits,” or ambulatory visits conducted via video interface, in order to decrease the risk of transmission. Objective: To describe the implementation and evaluation of a video visit program at a large, academic primary care practice in New York, NY, the epicenter of the COVID-19 pandemic. Design and Participants: We included consec…
Ambulatory Care Fragmentation and Subsequent Hospitalization
BACKGROUND: Previous studies have suggested that highly fragmented ambulatory care increases the risk of subsequent hospitalization, but those studies used claims only and were not able to adjust for many clinical potential confounders. OBJECTIVE: The objective of this study was to determine the association between fragmented ambulatory care and subsequent hospitalization, adjusting for demographics, medical conditions, medications, health behavi…
Racial Disparities in Preventable Adverse Events Attributed to Poor Care Coordination Reported in a National Study of Older US Adults
BACKGROUND: Previous work found that Black patients experience worse care coordination than White patients. OBJECTIVE: The aim was to determine if there are racial disparities in self-reported adverse events that could have been prevented with better communication. RESEARCH DESIGN: We used data from a cross-sectional survey that was administered to participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study in 2017…
Development and validation of mortality prediction models based on the social determinants of health
BACKGROUND: There is no standardised approach to screening adults for social risk factors. The goal of this study was to develop mortality risk prediction models based on the social determinants of health (SDoH) for clinical risk stratification. METHODS: Data were used from REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a national, population-based, longitudinal cohort of black and white Americans aged ≥45 recruited betw…
Medicine (5 obras) · Gerontology (3 obras) · Internal Medicine (3 obras) · Nursing (3 obras) · Public health (3 obras) · Statistics (3 obras) · Ambulatory (2 obras) · Computer Science (2 obras) · Confidence interval (2 obras) · Confounding (2 obras)