Evaluating the Preferences and Tradeoffs of AI-based Electronic Consultations for Older Adults in Primary Care
Evaluating the Safety and Appropriateness of AI-based E-Consults for Older Adults in Primary Care
Electronic consultations, or e-consults, let a primary care doctor request medical advice from a specialist without requiring the patient to attend a separate visit. Artificial intelligence (AI) systems may be able to provide this type of advice, potentially making e-consults faster and less costly. However, whether AI-based e-consults are acceptable may depend on how patients and clinicians weigh factors such as who provides the advice, how quickly it is received, its cost, and its quality.
The purpose of this study is to examine how older adult patients and primary care clinicians weigh these factors when comparing e-consults produced by a human specialist with those produced by an AI system. In the study, participants will complete a one-time survey in which they compare sets of two hypothetical e-consults. Each e-consult will include a different combination of features, such as whether the advice comes from a human or AI, the expected wait time, the cost, and the quality of the advice. This study will estimate how much patients and clinicians value each feature in an e-consult. The findings will inform the potential future AI e-consults, so they better reflect patient and clinician preferences.
Descripción general del estudio
Estado
Intervención / Tratamiento
Tipo de estudio
Inscripción (Estimado)
Fase
- No aplica
Contactos y Ubicaciones
Estudio Contacto
- Nombre: Nicholas Bishop
- Número de teléfono: 215-573-0779
- Correo electrónico: nicholas.bishop@pennmedicine.upenn.edu
Ubicaciones de estudio
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Pennsylvania
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Philadelphia, Pennsylvania, Estados Unidos, 19104
- Reclutamiento
- University of Pennsylvania
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Contacto:
- Nicholas Bishop
- Número de teléfono: 215-573-0779
- Correo electrónico: nicholas.bishop@pennmedicine.upenn.edu
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Criterios de participación
Criterio de elegibilidad
Edades elegibles para estudiar
- Adulto Mayor
Acepta Voluntarios Saludables
Descripción
PATIENTS:
Inclusion Criteria:
- Adult, 65 years of age or older
- Had at least two office visits at Penn Medicine in the past 12 months
- Has an upcoming appointment in a Penn Medicine primary care setting, including family medicine, internal medicine, and geriatric medicine
Exclusion Criteria:
- Documented Alzheimer's, dementia, or related condition
CLINICIANS:
Inclusion Criteria:
- Adult, 18 years of age or older
- Works at Penn Medicine as one of the following: physician, nurse practitioner, or physician's assistant
- Works in a primary care Penn Medicine setting including: family medicine, internal medicine, geriatrics medicine
Exclusion Criteria:
- Actively in medical school, internship, or residency
Plan de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
- Propósito principal: Investigación de servicios de salud
- Asignación: N / A
- Modelo Intervencionista: Asignación de un solo grupo
- Enmascaramiento: Ninguno (etiqueta abierta)
Armas e Intervenciones
Grupo de participantes/brazo |
Intervención / Tratamiento |
|---|---|
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Experimental: Electronic Consultation Systems
Participants will review 2 different e-consult systems, which will differ in terms of quality, cost, wait time, and source of the e-consult.
Participants will then indicate a preference for 1 e-consult system in each set.
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Participants will review these e-consults systems via a one-time survey lasting about 15 minutes.
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¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Preferences and Tradeoffs of Attributes of Electronic Consults
Periodo de tiempo: From enrollment to the end of the survey, approximately 15 minutes
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Participants will review 12 sets comparing 2 hypothetical e-consults.
Each e-consult is defined by five attributes: the source (i.e., AI vs. human), wait time, cost, and quality of the e-consult, as well as, whether follow-up questions can be asked.
For each set, the outcome is the participant's selection of one e-consult over the other.
We will analyze the results of the discrete choice experiment using mixed-effects logistic regression adjusted for each attribute value with crossed random effects (intercepts) for participant and task.
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From enrollment to the end of the survey, approximately 15 minutes
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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Health Numeracy Measured by the Short Numeracy Understanding in Medicine Instrument
Periodo de tiempo: From enrollment to the end of the survey, approximately 15 minutes
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Health numeracy will be measured using the 8-item Short Numeracy Understanding in Medicine instrument (S-NUMi).
Each correct response contributes one point to the total score.
Total scores range from 0 to 8, with higher scores indicating greater health numeracy.
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From enrollment to the end of the survey, approximately 15 minutes
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Colaboradores e Investigadores
Patrocinador
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio (Actual)
Finalización primaria (Estimado)
Finalización del estudio (Estimado)
Fechas de registro del estudio
Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Actual)
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Más información
Términos relacionados con este estudio
Otros números de identificación del estudio
- 26-5862
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
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