Evidence map›Paper›PMID 26152434›Full record

Trial reportJournal of the American Board of Family Medicine : JABFM

Reducing Preconception Risks Among African American Women with Conversational Agent Technology.

Brian Jack, Timothy Bickmore, Megan Hempstead, Leanne Yinusa-Nyahkoon, Ekaterina Sadikova, Suzanne Mitchell, Paula Gardiner, Fatima Adigun, Brian Penti, Daniel Schulman and 1 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Brian JackFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS). brian.jack@bmc.org.
Timothy BickmoreFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Megan HempsteadFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Leanne Yinusa-NyahkoonFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Ekaterina SadikovaFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Suzanne MitchellFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Paula GardinerFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Fatima AdigunFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Brian PentiFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Daniel SchulmanFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).
Karla DamusFrom the Department of Family Medicine, Boston University School of Medicine/Boston Medical Center, Boston, MA (BJ, MH, ES, SM, PG, FA, BP, KD); the College of Computer and Information Science, Northeastern University, Boston, MA (TB); Department of Occupational Therapy, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA (LY-N); and the Veteran's Administration, Boston Healthcare System, Jamaica Plain, MA (DS).

Funding

Using Innovative Communication Technology to Improve the Health of Young AfricanR01MD006213 · NIMHD · BOSTON MEDICAL CENTER · PI JACK, BRIAN WILLIAM · 2012 to 2016
$1.9M
NIMHD NIH HHS R01 MD006213PHS HHS HHSA290200600012IPHS HHS R40 MC21510
6 · The paper itself

Abstract

backgroundSystems and tools are needed to identify and mitigate preconception health (PCH) risks, particularly for African American (AA) women, given persistent health disparities. We developed and tested "Gabby," an online preconception conversational agent system.

methodsOne hundred nongravid AA women 18-34 years of age were screened for over 100 PCH risks and randomized to the Gabby or control group. The Gabby group interacted with the system for up to six months; the control group received a letter indicating their health risks with a recommendation to talk with their clinician. The numbers, proportions, and types of risks were compared between groups.

resultsThere were 23.7 (SD 5.9) risks identified per participant. Eighty-five percent (77 of 91) provided 6 month follow up data. The Gabby group had greater reductions in the number (8.3 vs. 5.5 risks, P < .05) and the proportion (27.8% vs 20.5%, P < 0.01) of risks compared to controls. The Gabby group averaged 63.7 minutes of interaction time. Seventy-eight percent reported that it "was easy to talk to Gabby" and 64% used information from Gabby to improve their health.

conclusionGabby was significantly associated with preconception risk reduction. More research is needed to determine if Gabby can benefit higher risk populations and if risk reduction is clinically significant.

Indexed as

Black or African AmericanHealth Status DisparitiesMedical Informatics ApplicationsAdolescentAdultFemaleFollow-Up StudiesHealth PromotionHumansInternetMotivational InterviewingOutcome and Process Assessment, Health CarePatient ParticipationPreconception CareProfessional-Patient RelationsRisk AssessmentHealth Care DisparitiesHealth Information TechnologyHealth PromotionPreconception CareReproductive Health

Identifiers

PMID26152434
PMCPMC4739811

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.