Manish N Shah
Biographic Data
| ID | 5536894 |
|---|---|
| NAME | Manish N Shah |
| GIVEN NAMES | Manish N |
| FAMILY NAME | Shah |
| SIGNATURE | SHAH M N |
| AFFILIATIONS | BerbeeWalsh Department of Emergency Medicine, University of Wisconsin School of Medicine and Public Health |
| ORCID | 0000-0001-6331-1074 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Differential Effects of an Emergency Department-to-Home Care Transitions Intervention in an Older Adult Population
BACKGROUND: Older adults frequently return to the emergency department (ED) within 30 days of a visit. High-risk patients can differentially benefit from transitional care interventions. Latent class analysis (LCA) is a model-based method used to segment the population and test intervention effects by subgroup. OBJECTIVES: We aimed to identify latent classes within an older adult population from a randomized controlled trial evaluating the effect…
The Average Effect of Emergency Department Admission on Readmission and Mortality for Older Adults With Chest Pain
BACKGROUND: Many older adults (65+) present to the Emergency Department (ED) with chest pain, but do not have otherwise clear clinical indication of whether they should be admitted or discharged. This uncertainty leads to decisions that are highly variable-in addition to already being costly-which could have adverse consequences, since older adults are particularly vulnerable from hospitalization. OBJECTIVE: The objective of this study was to det…
Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits
BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits. OBJECTIVE: This study evaluated several machine learning methodol…
Factors Associated With Emergency Department Use Among the Rural Elderly
CONTEXT: Emergency Department (ED) use among the rural elderly may present a different pattern from the urban elderly, thus requiring different policy initiatives. However, ED use among the rural elderly has seldom been studied and is little understood. PURPOSE: To characterize factors associated with having any versus no ED use among the rural elderly. METHODS: A cross-sectional and observational study of 1,736 Medicare beneficiaries age 65 and …
The Formation of the Emergency Medical Services System
The evolution of the emergency medical services system in the United States accelerated rapidly between 1960 and 1973 as a result of a number of medical, historical, and social forces. Current emergency medical services researchers, policy advocates, and administrators must acknowledge these forces and their limitations and work to modify the system into one that provides uniformly high-quality acute care to all patients, improves the overall pub…
The Formation of the Emergency Medical Services System
The evolution of the emergency medical services system in the United States accelerated rapidly between 1960 and 1973 as a result of a number of medical, historical, and social forces. Current emergency medical services researchers, policy advocates, and administrators must acknowledge these forces and their limitations and work to modify the system into one that provides uniformly high-quality acute care to all patients, improves the overall pub…
The Formation of the Emergency Medical Services System
The evolution of the emergency medical services system in the United States accelerated rapidly between 1960 and 1973 as a result of a number of medical, historical, and social forces. Current emergency medical services researchers, policy advocates, and administrators must acknowledge these forces and their limitations and work to modify the system into one that provides uniformly high-quality acute care to all patients, improves the overall pub…
Factors Associated With Emergency Department Use Among the Rural Elderly
CONTEXT: Emergency Department (ED) use among the rural elderly may present a different pattern from the urban elderly, thus requiring different policy initiatives. However, ED use among the rural elderly has seldom been studied and is little understood. PURPOSE: To characterize factors associated with having any versus no ED use among the rural elderly. METHODS: A cross-sectional and observational study of 1,736 Medicare beneficiaries age 65 and …
Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits
BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits. OBJECTIVE: This study evaluated several machine learning methodol…
The Average Effect of Emergency Department Admission on Readmission and Mortality for Older Adults With Chest Pain
BACKGROUND: Many older adults (65+) present to the Emergency Department (ED) with chest pain, but do not have otherwise clear clinical indication of whether they should be admitted or discharged. This uncertainty leads to decisions that are highly variable-in addition to already being costly-which could have adverse consequences, since older adults are particularly vulnerable from hospitalization. OBJECTIVE: The objective of this study was to det…
Differential Effects of an Emergency Department-to-Home Care Transitions Intervention in an Older Adult Population
BACKGROUND: Older adults frequently return to the emergency department (ED) within 30 days of a visit. High-risk patients can differentially benefit from transitional care interventions. Latent class analysis (LCA) is a model-based method used to segment the population and test intervention effects by subgroup. OBJECTIVES: We aimed to identify latent classes within an older adult population from a randomized controlled trial evaluating the effect…
Emergency and Acute Care Studies (5 works) · Medicine (5 works) · Emergency department (4 works) · Family medicine (4 works) · Environmental health (3 works) · Health care (3 works) · Nursing (3 works) · Computer Science (2 works) · Confidence interval (2 works) · Geriatric Care and Nursing Homes (2 works)