Evidence map›Paper›PMID 40207144›Full record

ArticleMayo Clinic proceedings. Digital health2023

Trajectories of Digital Prenatal Service Utilization and Pregnancy Outcomes: A Multitrajectory Analysis.

Alison K Brinson, Hannah R Jahnke, Lily Rubin-Miller, Natalie Henrich, Bhavna Challa, Christa Moss, Neel Shah, Alex Peahl

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Alison K BrinsonDepartment of Anthropology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Hannah R JahnkeMaven Clinic, New York, NY.
Lily Rubin-MillerMaven Clinic, New York, NY.
Natalie HenrichMaven Clinic, New York, NY.
Bhavna ChallaMaven Clinic, New York, NY.
Christa MossMaven Clinic, New York, NY.
Neel ShahMaven Clinic, New York, NY.
Alex PeahlDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify trajectories of prenatal digital service utilization across pregnancy and examine their associations with pregnancy outcomes. Patients and Methods: Data were extracted from 5409 pregnant people enrolled in Maven, a comprehensive digital platform for women's and family health, between January 1, 2020, and May 27, 2022. Multitrajectory modeling used digital service utilization data (eg, articles read, classes attended, and appointments with providers) at each trimester to identify trajectories of digital use across pregnancy. Multinomial logistic regression models tested for associations between the utilization trajectories and user-reported pregnancy education, experiences, and outcomes. Results: Four distinct trajectories of digital service utilization were identified and labeled as follows: (1) baseline users (52% of users), (2) just-in-timers (16%), (3) learners (26%), and (4) super users (6%). Users varied across trajectories by race, perinatal support interests, mental health, and parity. Compared with baseline users, trajectories reflective of more digital health service utilization were all positively associated with self-reported influence of Maven on pregnancy education, maternity care experience, and clinical outcomes. Conclusion: Distinct trajectories of digital health utilization emerged among pregnant individuals with differences in user characteristics and medical risks by trajectory group. Users in higher-use trajectories reported greater benefits from digital health. These findings may be used to inform gaps in existing prenatal care and help provide tailored services to reflect the unique needs of each individual pregnancy.

Identifiers

PMID40207144
PMCPMC11975751

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Registered trials

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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.