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.
Studieoversikt
Status
Intervensjon / Behandling
Studietype
Registrering (Antatt)
Fase
- Ikke aktuelt
Kontakter og plasseringer
Studiekontakt
- Navn: Nicholas Bishop
- Telefonnummer: 215-573-0779
- E-post: nicholas.bishop@pennmedicine.upenn.edu
Studiesteder
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Pennsylvania
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Philadelphia, Pennsylvania, Forente stater, 19104
- Rekruttering
- University of Pennsylvania
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Ta kontakt med:
- Nicholas Bishop
- Telefonnummer: 215-573-0779
- E-post: nicholas.bishop@pennmedicine.upenn.edu
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Deltakelseskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Eldre voksen
Tar imot friske frivillige
Beskrivelse
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
Studieplan
Hvordan er studiet utformet?
Designdetaljer
- Primært formål: Helsetjenesteforskning
- Tildeling: N/A
- Intervensjonsmodell: Enkeltgruppeoppdrag
- Masking: Ingen (Open Label)
Våpen og intervensjoner
Deltakergruppe / Arm |
Intervensjon / Behandling |
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Eksperimentell: 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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Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
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Preferences and Tradeoffs of Attributes of Electronic Consults
Tidsramme: 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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Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
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Health Numeracy Measured by the Short Numeracy Understanding in Medicine Instrument
Tidsramme: 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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Samarbeidspartnere og etterforskere
Sponsor
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Primær fullføring (Antatt)
Studiet fullført (Antatt)
Datoer for studieregistrering
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Andre studie-ID-numre
- 26-5862
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