Sociodemographic Differences in Perspectives on Postpartum Symptom Reporting.


Journal

Applied clinical informatics
ISSN: 1869-0327
Titre abrégé: Appl Clin Inform
Pays: Germany
ID NLM: 101537732

Informations de publication

Date de publication:
Aug 2024
Historique:
medline: 22 8 2024
pubmed: 22 8 2024
entrez: 21 8 2024
Statut: ppublish

Résumé

 The 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.  A 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.  Fewer Black participants, compared with all other groups, stated that they had used an app for reporting symptoms (

Identifiants

pubmed: 39168155
doi: 10.1055/s-0044-1788328
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

692-699

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

L.E.R. is an up-to-date contributor and an advisory board member for the New English Journal of Medicine, and Contemporary OB/GYN. She has also been a speaker for Medscape and is an expert reviewer for Pfizer on the RSV Vaccine. A.H. is an up-to-date contributor, a co-founder and medical consultant for Iris Ob Health, and a consultant for Progyny.

Auteurs

Natalie C Benda (NC)

School of Nursing, Columbia University, New York, New York, United States.

Ruth M Masterson Creber (RM)

School of Nursing, Columbia University, New York, New York, United States.

Roberta Scheinmann (R)

School of Nursing, Columbia University, New York, New York, United States.

Stephanie Nino de Rivera (S)

School of Nursing, Columbia University, New York, New York, United States.

Eric Costa Pimentel (EC)

Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States.

Robin B Kalish (RB)

Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, New York, United States.

Laura E Riley (LE)

Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, New York, United States.

Alison Hermann (A)

Department of Psychiatry, Weill Cornell Medicine, New York, New York, United States.

Jessica S Ancker (JS)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

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Classifications MeSH