Paula Gardiner1, Timothy Bickmore2, Leanne Yinusa-Nyahkoon3, Matthew Reichert4, Clevanne Julce5, Nireesha Sidduri5, Jessica Martin-Howard5,6, Elisabeth Woodhams7, Jumana Aryan5, Zhe Zhang2, Juan Fernandez2, Mark Loafman8, Jayakanth Srinivasan6,9, Howard Cabral10, Brian W Jack5,6. 1. Department of Family Medicine, University of Massachusetts Medical School, Worcester, MA, United States. 2. Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States. 3. College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, United States. 4. Department of Government, Harvard University, Cambridge, MA, United States. 5. Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States. 6. Institute for Health Systems Innovation and Policy, Boston University, Boston, MA, United States. 7. Department of Obstetrics and Gynecology, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States. 8. Department of Family Medicine, Cook County Health System, Chicago, IL, United States. 9. Department of Information Systems, Questrom School of Business, Boston, MA, United States. 10. Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States.
Abstract
Importance: Healthy nutrition and appropriate supplementation during preconception have important implications for the health of the mother and newborn. The best way to deliver preconception care to address health risks related to nutrition is unknown. Methods: We conducted a secondary analysis of data from a randomized controlled trial designed to study the impact of conversational agent technology in 13 domains of preconception care among 528 non-pregnant African American and Black women. This analysis is restricted to those 480 women who reported at least one of the ten risks related to nutrition and dietary supplement use. Interventions: An online conversational agent, called "Gabby", assesses health risks and delivers 12 months of tailored dialogue for over 100 preconception health risks, including ten nutrition and supplement risks, using behavioral change techniques like shared decision making and motivational interviewing. The control group received a letter listing their preconception risks and encouraging them to talk to a health care provider. Results: After 6 months, women using Gabby (a) reported progressing forward on the stage of change scale for, on average, 52.9% (SD, 35.1%) of nutrition and supplement risks compared to 42.9% (SD, 35.4) in the control group (IRR 1.22, 95% CI 1.03-1.45, P = 0.019); and (b) reported achieving the action and maintenance stage of change for, on average, 52.8% (SD 37.1) of the nutrition and supplement risks compared to 42.8% (SD, 37.9) in the control group (IRR 1.26, 96% CI 1.08-1.48, P = 0.004). For subjects beginning the study at the contemplation stage of change, intervention subjects reported progressing forward on the stage of change scale for 75.0% (SD, 36.3%) of their health risks compared to 52.1% (SD, 47.1%) in the control group (P = 0.006). Conclusion: The scalability of Gabby has the potential to improve women's nutritional health as an adjunct to clinical care or at the population health level. Further studies are needed to determine if improving nutrition and supplement risks can impact clinical outcomes including optimization of weight. Clinical Trial Registration: ClinicalTrials.gov, identifier NCT01827215.
RCT Entities:
Importance: Healthy nutrition and appropriate supplementation during preconception have important implications for the health of the mother and newborn. The best way to deliver preconception care to address health risks related to nutrition is unknown. Methods: We conducted a secondary analysis of data from a randomized controlled trial designed to study the impact of conversational agent technology in 13 domains of preconception care among 528 non-pregnant African American and Black women. This analysis is restricted to those 480 women who reported at least one of the ten risks related to nutrition and dietary supplement use. Interventions: An online conversational agent, called "Gabby", assesses health risks and delivers 12 months of tailored dialogue for over 100 preconception health risks, including ten nutrition and supplement risks, using behavioral change techniques like shared decision making and motivational interviewing. The control group received a letter listing their preconception risks and encouraging them to talk to a health care provider. Results: After 6 months, women using Gabby (a) reported progressing forward on the stage of change scale for, on average, 52.9% (SD, 35.1%) of nutrition and supplement risks compared to 42.9% (SD, 35.4) in the control group (IRR 1.22, 95% CI 1.03-1.45, P = 0.019); and (b) reported achieving the action and maintenance stage of change for, on average, 52.8% (SD 37.1) of the nutrition and supplement risks compared to 42.8% (SD, 37.9) in the control group (IRR 1.26, 96% CI 1.08-1.48, P = 0.004). For subjects beginning the study at the contemplation stage of change, intervention subjects reported progressing forward on the stage of change scale for 75.0% (SD, 36.3%) of their health risks compared to 52.1% (SD, 47.1%) in the control group (P = 0.006). Conclusion: The scalability of Gabby has the potential to improve women's nutritional health as an adjunct to clinical care or at the population health level. Further studies are needed to determine if improving nutrition and supplement risks can impact clinical outcomes including optimization of weight. Clinical Trial Registration: ClinicalTrials.gov, identifier NCT01827215.
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