Evaluation of a Multicomponent Care Transitions Program for High‐Risk Hospitalized Older Adults

2019 ◽  
Vol 67 (12) ◽  
pp. 2634-2642 ◽  
Author(s):  
Peter J. Huckfeldt ◽  
Bernardo Reyes ◽  
Gabriella Engstrom ◽  
Qingnan Yang ◽  
Sanya Diaz ◽  
...  
Keyword(s):  
Older Adults ◽  
High Risk ◽  
Care Transitions ◽  
Hospitalized Older Adults

Multicomponent Interventions Reduce High-Risk Medications for Delirium in Hospitalized Older Adults

2018 ◽  
Vol 66 (8) ◽  
pp. 1638-1645 ◽  
Author(s):  
Mobolaji Adeola ◽  
Rejena Azad ◽  
Gizat M. Kassie ◽  
Beverly Shirkey ◽  
George Taffet ◽  
...  
Keyword(s):  
Older Adults ◽  
High Risk ◽  
Hospitalized Older Adults ◽  
Multicomponent Interventions

Implementation of a Care Transitions Model for Low-Income Older Adults: A High-Risk, Vulnerable Population

2013 ◽  
Vol 61 (6) ◽  
pp. 987-992 ◽  
Author(s):  
Ugochi Ohuabunwa ◽  
Queenie Jordan ◽  
Seema Shah ◽  
Michael Fost ◽  
Jonathan Flacker
Keyword(s):  
Older Adults ◽  
High Risk ◽  
Low Income ◽  
Care Transitions ◽  
Vulnerable Population

Thirty‐Day Hospital Readmissions in a Care Transitions Program for High‐Risk Older Adults

2020 ◽  
Vol 68 (6) ◽  
pp. 1307-1312
Author(s):  
Joseph G. Ouslander ◽  
Bernardo Reyes ◽  
Sanya Diaz ◽  
Gabriella Engstrom
Keyword(s):  
Older Adults ◽  
High Risk ◽  
Hospital Readmissions ◽  
Care Transitions ◽  
Day Hospital

scholarly journals Care Transitions Program for High-Risk Frail Older Adults is Most Beneficial for Patients with Cognitive Impairment

2019 ◽  
Author(s):  
Bjorg Thorsteinsdottir ◽  
Stephanie M Peterson ◽  
James N Naessens ◽  
Rozalina G McCoy ◽  
Gregory J Hanson ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
High Risk ◽  
Care Transitions ◽  
Frail Older Adults

scholarly journals Automated versus Manual Data Extraction of the Padua Prediction Score for Venous Thromboembolism Risk in Hospitalized Older Adults

2018 ◽  
Vol 09 (03) ◽  
pp. 743-751 ◽  
Author(s):  
Juliessa Pavon ◽  
Richard Sloane ◽  
Carl Pieper ◽  
Cathleen Colón-Emeric ◽  
Harvey Cohen ◽  
...  
Keyword(s):  
Older Adults ◽  
Venous Thromboembolism ◽  
High Risk ◽  
Sensitivity And Specificity ◽  
Data Extraction ◽  
Prediction Score ◽  
Risk Category ◽  
Vte Prophylaxis ◽  
General Internal ◽  
Hospitalized Older Adults

Objective Venous thromboembolism (VTE) prophylaxis is an important consideration for hospitalized older adults, and the Padua Prediction Score (PPS) is a risk prediction tool used to prioritize patient selection. We developed an automated PPS (APPS) algorithm using electronic health record (EHR) data. This study examines the accuracy of APPS and its individual components versus manual data extraction. Methods This is a retrospective cohort study of hospitalized general internal medicine patients, aged 70 and over. Fourteen clinical variables were collected to determine their PPS; APPS used EHR data exports from health system databases, and a trained abstractor performed manual chart abstractions. We calculated sensitivity and specificity of the APPS, using manual PPS as the gold standard for classifying risk category (low vs. high). We also examined performance characteristics of the APPS for individual variables. Results PPS was calculated by both methods on 311 individuals. The mean PPS was 3.6 (standard deviation, 1.8) for manual abstraction and 2.8 (1.4) for APPS. In detecting patients at high risk for VTE, the sensitivity and specificity of the APPS algorithm were 46 and 94%, respectively. The sensitivity for APPS was poor (range: 6–34%) for detecting acute conditions (i.e., acute myocardial infarction), moderate (range: 52–74%) for chronic conditions (i.e., heart failure), and excellent (range: 94–98%) for conditions of obesity and restricted mobility. Specificity of the automated extraction method for each PPS variable was > 87%. Conclusion APPS as a stand-alone tool was suboptimal for classifying risk of VTE occurrence. The APPS accurately identified high risk patients (true positives), but lower scores were considered indeterminate.

1544-P: High Risk of Adverse Drug Reaction (ADR) in Older Adults with Type 1 Diabetes (T1D)

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1544-P ◽  
Author(s):  
ELENA TOSCHI ◽  
CHRISTINE SLYNE ◽  
ASTRID ATAKOV-CASTILLO ◽  
KAYLA SIFRE ◽  
ALYSSA B. DUFOUR ◽  
...  
Keyword(s):  
Older Adults ◽  
Adverse Drug Reaction ◽  
Type 1 Diabetes ◽  
Drug Reaction ◽  
High Risk
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