Using Health Information Technology to Engage African American Women on Nutrition and Supplement Use During the Preconception Period.


Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2020
Historique:
received: 15 09 2020
accepted: 30 11 2020
entrez: 15 2 2021
pubmed: 16 2 2021
medline: 22 5 2021
Statut: epublish

Résumé

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. 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. 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. 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). 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. ClinicalTrials.gov, identifier NCT01827215.

Identifiants

pubmed: 33584534
doi: 10.3389/fendo.2020.571705
pmc: PMC7874041
doi:

Banques de données

ClinicalTrials.gov
['NCT01827215']

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

571705

Subventions

Organisme : NIMHD NIH HHS
ID : R01 MD006213
Pays : United States

Informations de copyright

Copyright © 2021 Gardiner, Bickmore, Yinusa-Nyahkoon, Reichert, Julce, Sidduri, Martin-Howard, Woodhams, Aryan, Zhang, Fernandez, Loafman, Srinivasan, Cabral and Jack.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Paula Gardiner (P)

Department of Family Medicine, University of Massachusetts Medical School, Worcester, MA, United States.

Timothy Bickmore (T)

Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States.

Leanne Yinusa-Nyahkoon (L)

College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, United States.

Matthew Reichert (M)

Department of Government, Harvard University, Cambridge, MA, United States.

Clevanne Julce (C)

Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States.

Nireesha Sidduri (N)

Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States.

Jessica Martin-Howard (J)

Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States.
Institute for Health Systems Innovation and Policy, Boston University, Boston, MA, United States.

Elisabeth Woodhams (E)

Department of Obstetrics and Gynecology, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States.

Jumana Aryan (J)

Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States.

Zhe Zhang (Z)

Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States.

Juan Fernandez (J)

Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States.

Mark Loafman (M)

Department of Family Medicine, Cook County Health System, Chicago, IL, United States.

Jayakanth Srinivasan (J)

Institute for Health Systems Innovation and Policy, Boston University, Boston, MA, United States.
Department of Information Systems, Questrom School of Business, Boston, MA, United States.

Howard Cabral (H)

Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States.

Brian W Jack (BW)

Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States.
Institute for Health Systems Innovation and Policy, Boston University, Boston, MA, United States.

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