Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions
Implementation of artificial intelligence (AI) in medical decision-making is still in early development. We developed an AI robot intervention prototype with a health literacy-friendly interface that uses interactive voice response (IVR) surveying to assist in decision-making for weight loss. The we...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2022-11-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076221136372 |
| _version_ | 1797984436820639744 |
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| author | Yi-Tang Chu Ru-Yi Huang Tara Tai-Wen Chen Wei-Hsuan Lin James TaoQian Tang Chi-Wei Lin Chi-Hsien Huang Chung-Ying Lin Jung-Sheng Chen Sabrina Kurtz-Rossi Kristine Sørensen |
| author_facet | Yi-Tang Chu Ru-Yi Huang Tara Tai-Wen Chen Wei-Hsuan Lin James TaoQian Tang Chi-Wei Lin Chi-Hsien Huang Chung-Ying Lin Jung-Sheng Chen Sabrina Kurtz-Rossi Kristine Sørensen |
| author_sort | Yi-Tang Chu |
| collection | DOAJ |
| description | Implementation of artificial intelligence (AI) in medical decision-making is still in early development. We developed an AI robot intervention prototype with a health literacy-friendly interface that uses interactive voice response (IVR) surveying to assist in decision-making for weight loss. The weight-specific health literacy instrument (WSHLI) and Shared Decision-Making Questionnaire (SDMQ) were used to measure factors influencing weight-loss decisions. Factors associated with participants choosing to lose weight were analyzed using logistic regression, and factors influencing the selection of specific weight-loss plans were examined with one-way analysis of variance. Our study recruited 144 overweight or obese adults (69.4% women, 58.3% with body mass index (BMI) ≥ 24). After interacting with the AI robot, 78% of the study population made the decision to lose weight. SDMQ score was a significant factor positively influencing the decision for weight-loss (odds ratio [OR]: 2.16, 95% confidence interval [CI]: 1.09–4.29, p = 0.027). Individuals who selected self-monitored lifestyle modification (mean ± SD: 11.52 ± 1.95) had significantly higher health literacy than those who selected dietician-assisted plan (9.92 ± 2.30) and physician-guided treatment (9.60 ± 1.52) (both p = 0.001). The study results demonstrated that our prototype AI robot can effectively encourage individuals to make decisions regarding weight management and that both WSHLI and SDMQ scores affect the choice of weight-loss plans. |
| first_indexed | 2024-04-11T07:02:49Z |
| format | Article |
| id | doaj.art-d10e344a7e9e438c92b03baf597d363a |
| institution | Directory Open Access Journal |
| issn | 2055-2076 |
| language | English |
| last_indexed | 2024-04-11T07:02:49Z |
| publishDate | 2022-11-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Digital Health |
| spelling | doaj.art-d10e344a7e9e438c92b03baf597d363a2022-12-22T04:38:36ZengSAGE PublishingDigital Health2055-20762022-11-01810.1177/20552076221136372Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisionsYi-Tang Chu0Ru-Yi Huang1Tara Tai-Wen Chen2Wei-Hsuan Lin3James TaoQian Tang4Chi-Wei Lin5Chi-Hsien Huang6Chung-Ying Lin7Jung-Sheng Chen8Sabrina Kurtz-Rossi9Kristine Sørensen10 Department of Family and Community Medicine, , Kaohsiung, Taiwan School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan Department of Family and Community Medicine, , Kaohsiung, Taiwan Department of Family and Community Medicine, , Kaohsiung, Taiwan Department of Engineering and System Science, , Hsinchu, Taiwan School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan Department of Medical Research, , Kaohsiung, Taiwan Department of Public Health & Community Medicine, , Boston, MA, USA Global Health Literacy Academy, Risskov, DenmarkImplementation of artificial intelligence (AI) in medical decision-making is still in early development. We developed an AI robot intervention prototype with a health literacy-friendly interface that uses interactive voice response (IVR) surveying to assist in decision-making for weight loss. The weight-specific health literacy instrument (WSHLI) and Shared Decision-Making Questionnaire (SDMQ) were used to measure factors influencing weight-loss decisions. Factors associated with participants choosing to lose weight were analyzed using logistic regression, and factors influencing the selection of specific weight-loss plans were examined with one-way analysis of variance. Our study recruited 144 overweight or obese adults (69.4% women, 58.3% with body mass index (BMI) ≥ 24). After interacting with the AI robot, 78% of the study population made the decision to lose weight. SDMQ score was a significant factor positively influencing the decision for weight-loss (odds ratio [OR]: 2.16, 95% confidence interval [CI]: 1.09–4.29, p = 0.027). Individuals who selected self-monitored lifestyle modification (mean ± SD: 11.52 ± 1.95) had significantly higher health literacy than those who selected dietician-assisted plan (9.92 ± 2.30) and physician-guided treatment (9.60 ± 1.52) (both p = 0.001). The study results demonstrated that our prototype AI robot can effectively encourage individuals to make decisions regarding weight management and that both WSHLI and SDMQ scores affect the choice of weight-loss plans.https://doi.org/10.1177/20552076221136372 |
| spellingShingle | Yi-Tang Chu Ru-Yi Huang Tara Tai-Wen Chen Wei-Hsuan Lin James TaoQian Tang Chi-Wei Lin Chi-Hsien Huang Chung-Ying Lin Jung-Sheng Chen Sabrina Kurtz-Rossi Kristine Sørensen Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions Digital Health |
| title | Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions |
| title_full | Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions |
| title_fullStr | Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions |
| title_full_unstemmed | Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions |
| title_short | Effect of health literacy and shared decision-making on choice of weight-loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight-loss management decisions |
| title_sort | effect of health literacy and shared decision making on choice of weight loss plan among overweight or obese participants receiving a prototype artificial intelligence robot intervention facilitating weight loss management decisions |
| url | https://doi.org/10.1177/20552076221136372 |
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