Publication Date
In 2024 | 1 |
Since 2023 | 1 |
Since 2020 (last 5 years) | 1 |
Since 2015 (last 10 years) | 2 |
Since 2005 (last 20 years) | 2 |
Descriptor
Data Collection | 1 |
Databases | 1 |
Disproportionate… | 1 |
Drug Therapy | 1 |
Error Patterns | 1 |
Federal Programs | 1 |
Health Insurance | 1 |
Mail Surveys | 1 |
Medical Services | 1 |
Medicine | 1 |
National Surveys | 1 |
More ▼ |
Source
Field Methods | 2 |
Author
Becky Reimer | 1 |
Brown, Julie A. | 1 |
Burkhart, Q. | 1 |
Edwards, Carol A. | 1 |
Elise Comperchio | 1 |
Elliott, Marc N. | 1 |
Haviland, Amelia M. | 1 |
Kali Defever | 1 |
Kallaur, Paul N. | 1 |
Michael Trierweiler | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kali Defever; Becky Reimer; Michael Trierweiler; Elise Comperchio – Field Methods, 2024
Estimating prescription medicine use is challenging due to recall bias associated with surveys and coverage bias in administrative data. This study assesses how making operational improvements and combining both survey and administrative data sources can increase data quality on filled prescriptions. We use data from the Medicare Current…
Descriptors: Drug Therapy, Health Insurance, Databases, Medicine
Burkhart, Q.; Haviland, Amelia M.; Kallaur, Paul N.; Edwards, Carol A.; Brown, Julie A.; Elliott, Marc N. – Field Methods, 2015
Surveys often spend substantial money on multiple mailings and telephone calls to ensure high overall response rates and adequate representation of hard-to-reach demographic subgroups. We examine the extent to which an additional mailing and additional sets of telephone calls are effective in attaining these goals across a variety of subgroups in…
Descriptors: Mail Surveys, Telephone Surveys, Response Rates (Questionnaires), Federal Programs