Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| Barriers | 1 |
| Biochemistry | 1 |
| Classification | 1 |
| Comorbidity | 1 |
| Computational Linguistics | 1 |
| Computer Mediated… | 1 |
| Correlation | 1 |
| Diabetes | 1 |
| Drug Therapy | 1 |
| Gender Differences | 1 |
| More ▼ | |
Source
| Grantee Submission | 1 |
Author
| Balyan, Renu | 1 |
| Brown, William, III | 1 |
| Crossley, Scott A. | 1 |
| Karter, Andrew J. | 1 |
| Liu, Jennifer Y. | 1 |
| Lyles, Courtney R. | 1 |
| McNamara, Danielle S. | 1 |
| Schillinger, Dean | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
| California | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full text
Direct linkBalyan, Renu; Crossley, Scott A.; Brown, William, III; Karter, Andrew J.; McNamara, Danielle S.; Liu, Jennifer Y.; Lyles, Courtney R.; Schillinger, Dean – Grantee Submission, 2019
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patient health literacy challenging. The objective of this study was to develop and validate…
Descriptors: Patients, Literacy, Health Services, Profiles
