Mehmet Burcu
Biographic Data
| ID | 5547536 |
|---|---|
| NAME | Mehmet Burcu |
| GIVEN NAMES | Mehmet |
| FAMILY NAME | Burcu |
| SIGNATURE | BURCU M |
| AFFILIATIONS | University of Maryland, Baltimore |
| ORCID | 0000-0003-4572-0987 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
Hispanic Residential Isolation, ADHD Diagnosis and Stimulant Treatment among Medicaid-insured Youth
These findings highlight the opportunity for Big Data to advance mental health research on strategies to reduce racial/ethnic health disparities, particularly for poor and vulnerable youth. Further exploration of racial/ethnic residential isolation in other large data sources is needed to guide future policy development and to target culturally sensitive interventions
Construct Validity and Factor Structure of Survey-based Assessment of Cost-related Medication Burden
BACKGROUND: Millions of Americans are burdened by out-of-pocket prescription costs. Although many survey measures have been developed to assess this burden, the construct validity and the factor structure of these instruments have not been rigorously assessed. OBJECTIVES: To characterize the factor structure and the construct validity of items assessing cost-related medication burden. METHODS: We applied exploratory factor and confirmatory factor…
No prominent works on this page.
Construct Validity and Factor Structure of Survey-based Assessment of Cost-related Medication Burden
BACKGROUND: Millions of Americans are burdened by out-of-pocket prescription costs. Although many survey measures have been developed to assess this burden, the construct validity and the factor structure of these instruments have not been rigorously assessed. OBJECTIVES: To characterize the factor structure and the construct validity of items assessing cost-related medication burden. METHODS: We applied exploratory factor and confirmatory factor…
Hispanic Residential Isolation, ADHD Diagnosis and Stimulant Treatment among Medicaid-insured Youth
These findings highlight the opportunity for Big Data to advance mental health research on strategies to reduce racial/ethnic health disparities, particularly for poor and vulnerable youth. Further exploration of racial/ethnic residential isolation in other large data sources is needed to guide future policy development and to target culturally sensitive interventions
Environmental health (2 works) · Medicine (2 works) · Population (2 works) · Attention Deficit Hyperactivity Disorder (1 works) · Cardiovascular Syncope and Autonomic Disorders (1 works) · Child and Adolescent Psychosocial and Emotional Development (1 works) · Clinical Psychology (1 works) · Confirmatory factor analysis (1 works) · Construct validity (1 works) · Demography (1 works)