A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care
| Autor: | Kuangxiao Gu, Yang Zhang, Renato Ferreira Leito Azevedo, Daniel G. Morrow, Bidisha Roy, Thomas S. Huang, Rocio Garcia-Retamero, Mark Hasegawa-Johnson, William Schuh |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Aging
Computer science media_common.quotation_subject Message format Health Informatics Context (language use) Health literacy computer.software_genre Article 050105 experimental psychology Literacy Likert scale 03 medical and health sciences 0302 clinical medicine Cognition Electronic Medical Record Patient Portals Numeracy Human–computer interaction Patient-Centered Care Computer agent Learning Electronic Health Records Humans 0501 psychology and cognitive sciences 030212 general & internal medicine media_common Aged Multimedia Patient portal 05 social sciences Middle Aged Computer Science Applications Health Literacy Comprehension Self Care Interdisciplinary Communication Patient Care computer |
| Popis: | Display Omitted Improve the use of Electronic Medical Record (EMR) portal information by older adults.Describe a multi-disciplinary approach to designing and evaluating patient portal messages.Promote self-care by older adults with diverse numeracy and literacy abilities. We describe a project intended to improve the use of Electronic Medical Record (EMR) patient portal information by older adults with diverse numeracy and literacy abilities, so that portals can better support patient-centered care. Patient portals are intended to bridge patients and providers by ensuring patients have continuous access to their health information and services. However, they are underutilized, especially by older adults with low health literacy, because they often function more as information repositories than as tools to engage patients. We outline an interdisciplinary approach to designing and evaluating portal-based messages that convey clinical test results so as to support patient-centered care. We first describe a theory-based framework for designing effective messages for patients. This involves analyzing shortcomings of the standard portal message format (presenting numerical test results with little context to guide comprehension) and developing verbally, graphically, video- and computer agent-based formats that enhance context. The framework encompasses theories from cognitive and behavioral science (health literacy, fuzzy trace memory, behavior change) as well as computational/engineering approaches (e.g., image and speech processing models). We then describe an approach to evaluating whether the formats improve comprehension of and responses to the messages about test results, focusing on our methods. The approach combines quantitative (e.g., response accuracy, Likert scale responses) and qualitative (interview) measures, as well as experimental and individual difference methods in order to investigate which formats are more effective, and whether some formats benefit some types of patients more than others. We also report the results of two pilot studies conducted as part of developing the message formats. |
| Databáze: | OpenAIRE |
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