Beyeler, Marina; Légeret, Corinne; Kiwitz, Fabian; Van der Horst, Klazine (2023). Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study JMIR Human Factors, 10, e47913. JMIR Publications 10.2196/47913
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Background: Currently, over 4000 bariatric procedures are performed annually in Switzerland. To improve outcomes, patients need to have good knowledge regarding postoperative nutrition. To potentially provide them with knowledge between dietetic consultations, a health bot (HB) was created. The HB can answer bariatric nutrition questions in writing based on artificial intelligence. Objective: This study aims to evaluate the usability and perception of the HB among patients receiving bariatric care. Methods: Patients before or after bariatric surgery tested the HB. A mixed methods approach was used, which consisted of a questionnaire and qualitative interviews before and after testing the HB. The dimensions usability of, usefulness of, satisfaction with, and ease of use of the HB, among others, were measured. Data were analyzed using R Studio (R Studio Inc) and Excel (Microsoft Corp). The interviews were transcribed and a summary inductive content analysis was performed. Results: A total of 12 patients (female: n=8, 67%; male: n=4, 33%) were included. The results showed excellent usability with a mean usability score of 87 (SD 12.5; range 57.5-100) out of 100. Other dimensions of acceptability included usefulness (mean 5.28, SD 2.02 out of 7), satisfaction (mean 5.75, SD 1.68 out of 7), and learnability (mean 6.26, SD 1.5 out of 7). The concept of the HB and availability of reliable nutrition information were perceived as desirable (mean 5.5, SD 1.64 out of 7). Weaknesses were identified in the response accuracy, limited knowledge, and design of the HB. Conclusions: The HB’s ease of use and usability were evaluated to be positive; response accuracy, topic selection, and design should be optimized in a next step. The perceptions of nutrition professionals and the impact on patient care and the nutrition knowledge of participants need to be examined in further studies.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
School of Health Professions School of Health Professions > Nutrition and Dietetics School of Health Professions > Nursing |
Name: |
Beyeler, Marina; Légeret, Corinne; Kiwitz, Fabian and Van der Horst, Klazine0000-0001-7265-428X |
ISSN: |
2292-9495 |
Publisher: |
JMIR Publications |
Language: |
English |
Submitter: |
Klazine Van der Horst |
Date Deposited: |
22 Mar 2024 14:14 |
Last Modified: |
03 Apr 2024 09:55 |
Publisher DOI: |
10.2196/47913 |
Uncontrolled Keywords: |
bariatric surgery; nutrition information; usability; satisfaction; artificial intelligence; health bot; mobile phone |
ARBOR DOI: |
10.24451/arbor.21683 |
URI: |
https://arbor.bfh.ch/id/eprint/21683 |