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This study aimed to compare the patient acceptability (preference, length, and difficulty) and accuracy of Chat-Generative Pre-Trained Transformer (ChatGPT) responses to questions from people with osteoarthritis (OA) with physician responses.
This was a cross-sectional study where participants were invited by e-mail to participate in the questionnaire to compare Chatbot responses to physician responses.
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| Measure | Description | Time Frame |
|---|---|---|
| Preferred response | Binary outcome, chatbot or physician response. This was an average based on the preferences on the 7 FAQs. | From invitation until the end of the study at two weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Rating of length | Rating of both responses (chatbot and physician response) included 'too short', 'good', and 'too long'. | From invitation until the end of the study at two weeks |
| Rating of difficulty |
| Measure | Description | Time Frame |
|---|---|---|
| Number of words of the responses | This was determined before the study started |
Inclusion Criteria:
Exclusion Criteria:
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There were two groups of participants: 1) a panel of people with OA evaluating the preference, length, and difficulty, and 2) a panel of experts in the field of OA evaluating the accuracy of the responses
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Canisius Wilhelmina Hospital | Nijmegen | Netherlands |
The dataset supporting the conclusions of this study is available from the corresponding author upon reasonable request.
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Rating of difficulty included 'too easy', 'good', and 'too difficult' for both responses.
| From invitation until the end of the study at two weeks |
| Accuracy | Accuracy of the responses included the options 'Completely incorrect,' 'partly incorrect, ' 'approximately equally correct and incorrect,' 'mostly correct,' 'completely correct'. | From invitation until the end of the study at two weeks |
| ID | Term |
|---|---|
| D010003 | Osteoarthritis |
| ID | Term |
|---|---|
| D001168 | Arthritis |
| D007592 | Joint Diseases |
| D009140 | Musculoskeletal Diseases |
| D012216 | Rheumatic Diseases |
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