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.
Panoramica dello studio
Stato
Intervento / Trattamento
Tipo di studio
Iscrizione (Stimato)
Fase
- Non applicabile
Contatti e Sedi
Contatto studio
- Nome: Nicholas Bishop
- Numero di telefono: 215-573-0779
- Email: nicholas.bishop@pennmedicine.upenn.edu
Luoghi di studio
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Pennsylvania
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Philadelphia, Pennsylvania, Stati Uniti, 19104
- Reclutamento
- University of Pennsylvania
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Contatto:
- Nicholas Bishop
- Numero di telefono: 215-573-0779
- Email: nicholas.bishop@pennmedicine.upenn.edu
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Criteri di partecipazione
Criteri di ammissibilità
Età idonea allo studio
- Adulto più anziano
Accetta volontari sani
Descrizione
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
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
- Scopo principale: Ricerca sui servizi sanitari
- Assegnazione: N / A
- Modello interventistico: Assegnazione di gruppo singolo
- Mascheramento: Nessuno (etichetta aperta)
Armi e interventi
Gruppo di partecipanti / Arm |
Intervento / Trattamento |
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Sperimentale: 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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Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Preferences and Tradeoffs of Attributes of Electronic Consults
Lasso di tempo: 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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Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
|---|---|---|
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Health Numeracy Measured by the Short Numeracy Understanding in Medicine Instrument
Lasso di tempo: 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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Collaboratori e investigatori
Sponsor
Studiare le date dei record
Studia le date principali
Inizio studio (Effettivo)
Completamento primario (Stimato)
Completamento dello studio (Stimato)
Date di iscrizione allo studio
Primo inviato
Primo inviato che soddisfa i criteri di controllo qualità
Primo Inserito (Effettivo)
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo verificato
Maggiori informazioni
Termini relativi a questo studio
Altri numeri di identificazione dello studio
- 26-5862
Informazioni su farmaci e dispositivi, documenti di studio
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Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .