Evidence map›Paper›PMID 39168155›Full record

ArticleApplied clinical informatics2024

Sociodemographic Differences in Perspectives on Postpartum Symptom Reporting.

Natalie C Benda, Ruth M Masterson Creber, Roberta Scheinmann, Stephanie Nino de Rivera, Eric Costa Pimentel, Robin B Kalish, Laura E Riley, Alison Hermann, Jessica S Ancker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Patient Activation in the Postpartum Period by Race, Ethnicity, and Spoken Language.Journal of obstetric, gynecologic, and neonatal nursing : JOGNN · 2026
    Article
  2. 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

9 authors.

Natalie C BendaSchool of Nursing, Columbia University, New York, New York, United States.
Ruth M Masterson CreberSchool of Nursing, Columbia University, New York, New York, United States.
Roberta ScheinmannSchool of Nursing, Columbia University, New York, New York, United States.
Stephanie Nino de RiveraSchool of Nursing, Columbia University, New York, New York, United States.
Eric Costa PimentelDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States.
Robin B KalishDepartment of Obstetrics and Gynecology, Weill Cornell Medicine, New York, New York, United States.
Laura E RileyDepartment of Obstetrics and Gynecology, Weill Cornell Medicine, New York, New York, United States.
Alison HermannDepartment of Psychiatry, Weill Cornell Medicine, New York, New York, United States.
Jessica S AnckerDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Funding

"Maternal Outcome Monitoring and Support (MOMS) - A mHealth symptom self-monitoring and decision support system to reduce racial and ethnic disparities in postpartum outcomesR00MD015781 · NIMHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENDA, NATALIE CHRISTINE · 2023 to 2025
$732k
"Maternal Outcome Monitoring and Support (MOMS) - A mHealth symptom self-monitoring and decision support system to reduce racial and ethnic disparities in postpartum outcomesK99MD015781 · NIMHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI BENDA, NATALIE CHRISTINE · 2021 to 2022
$198k
NIMHD NIH HHS K99 MD015781NIMHD NIH HHS R00 MD015781
6 · The paper itself

Abstract

objectiveThe overall goal of this work is to create a patient-reported outcome (PRO) and decision support system to help postpartum patients determine when to seek care for concerning symptoms. In this case study, we assessed differences in perspectives for application design needs based on race, ethnicity, and preferred language.

methodsA sample of 446 participants who reported giving birth in the past 12 months was recruited from an existing survey panel. We sampled participants from four self-reported demographic groups: (1) English-speaking panel, Black/African American race, non-Hispanic ethnicity; (2) Spanish-speaking panel, Hispanic-ethnicity; (3) English-speaking panel, Hispanic ethnicity; (4) English-speaking panel, non-Black race, non-Hispanic ethnicity. Participants provided survey-based feedback regarding interest in using the application, comfort reporting symptoms, desired frequency of reporting, reporting tool features, and preferred outreach pathway for concerning symptoms.

resultsFewer Black participants, compared with all other groups, stated that they had used an app for reporting symptoms (

Indexed as

Postpartum PeriodAdultFemaleHumansSociodemographic Factors

Identifiers

PMID39168155
PMCPMC11338653

What OpenQuestion holds

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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.