Fadia T Shaya
Biographic Data
| ID | 5535406 |
|---|---|
| NAME | Fadia T Shaya |
| GIVEN NAMES | Fadia T |
| FAMILY NAME | Shaya |
| SIGNATURE | SHAYA F T |
| AFFILIATIONS | University of Maryland, Baltimore |
| ORCID | 0000-0001-9424-8514 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Cost-effective interventions to prevent prescription drug misuse
Disruptive Innovation in Pharmacy
Tree-based Claims Algorithm for Measuring Pretreatment Quality of Care in Medicare Disabled Hepatitis C Patients
BACKGROUND: To help broaden the use of machine-learning approaches in health services research, we provide an easy-to-follow framework on the implementation of random forests and apply it to identify quality of care (QC) patterns correlated with treatment receipt among Medicare disabled patients with hepatitis C virus (HCV). METHODS: Using Medicare claims 2006-2009, we identified 1936 patients with 6 months continuous enrollment before HCV diagno…
Effect of social networks intervention in type 2 diabetes
BACKGROUND: In this partially randomised intervention study, we assessed the effect of social networks on the improvement of type 2 diabetes management in a largely African-American population in Baltimore. METHODS: Patients in the intervention group (n=68) were asked to recruit peers, form small groups, and attend monthly diabetes education sessions, emphasising peer support. Patients in the control group (n=70) were recruited individually to at…
Readmissions After Unauthorized Discharges in the Cardiovascular Setting
BACKGROUND: Patients who left against medical advice (AMA) may be at higher risk for a hospital readmission if the unauthorized discharge was premature. The objective of this study is to examine the relationship between discharges AMA from nonfederal acute care hospitals and cardiovascular disease (CVD) hospital readmissions while addressing bias due to potential confounding, selection, and hospital-level clustering. METHODS: This cross-sectional…
Effect of social networks intervention in type 2 diabetes
BACKGROUND: In this partially randomised intervention study, we assessed the effect of social networks on the improvement of type 2 diabetes management in a largely African-American population in Baltimore. METHODS: Patients in the intervention group (n=68) were asked to recruit peers, form small groups, and attend monthly diabetes education sessions, emphasising peer support. Patients in the control group (n=70) were recruited individually to at…
Readmissions After Unauthorized Discharges in the Cardiovascular Setting
BACKGROUND: Patients who left against medical advice (AMA) may be at higher risk for a hospital readmission if the unauthorized discharge was premature. The objective of this study is to examine the relationship between discharges AMA from nonfederal acute care hospitals and cardiovascular disease (CVD) hospital readmissions while addressing bias due to potential confounding, selection, and hospital-level clustering. METHODS: This cross-sectional…
Effect of social networks intervention in type 2 diabetes
BACKGROUND: In this partially randomised intervention study, we assessed the effect of social networks on the improvement of type 2 diabetes management in a largely African-American population in Baltimore. METHODS: Patients in the intervention group (n=68) were asked to recruit peers, form small groups, and attend monthly diabetes education sessions, emphasising peer support. Patients in the control group (n=70) were recruited individually to at…
Tree-based Claims Algorithm for Measuring Pretreatment Quality of Care in Medicare Disabled Hepatitis C Patients
BACKGROUND: To help broaden the use of machine-learning approaches in health services research, we provide an easy-to-follow framework on the implementation of random forests and apply it to identify quality of care (QC) patterns correlated with treatment receipt among Medicare disabled patients with hepatitis C virus (HCV). METHODS: Using Medicare claims 2006-2009, we identified 1936 patients with 6 months continuous enrollment before HCV diagno…
Disruptive Innovation in Pharmacy
Cost-effective interventions to prevent prescription drug misuse
Medicine (4 works) · Diabetes Management and Education (2 works) · Family medicine (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Algorithm (1 work) · Blood pressure (1 work) · Business (1 work) · Chemistry (1 work) · Chronic Disease Management Strategies (1 work)