Placental pathology reports: A qualitative study in a US university hospital setting on perceived clinical utility and areas for improvement.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 13 10 2022
accepted: 12 05 2023
medline: 12 6 2023
pubmed: 8 6 2023
entrez: 8 6 2023
Statut: epublish

Résumé

To explore how placental pathology is currently used by clinicians and what placental information would be most useful in the immediate hours after delivery. We used a qualitative study design to conduct in-depth, semi-structured interviews with obstetric and neonatal clinicians who provide delivery or postpartum care at an academic medical center in the US (n = 19). Interviews were transcribed and analyzed using descriptive content analysis. Clinicians valued placental pathology information yet cited multiple barriers that prevent the consistent use of pathology. Four main themes were identified. First, the placenta is sent to pathology for consistent reasons, however, the pathology report is accessed by clinicians inconsistently due to key barriers: difficult to find in the electronic medical record, understand, and get quickly. Second, clinicians value placental pathology for explanatory capability as well as for contributions to current and future care, particularly when there is fetal growth restriction, stillbirth, or antibiotic use. Third, a rapid placental exam (specifically including placental weight, infection, infarction, and overall assessment) would be helpful in providing clinical care. Fourth, placental pathology reports that connect clinically relevant findings (similar to radiology) and that are written with plain, standardized language and that non-pathologists can more readily understand are preferred. Placental pathology is important to clinicians that care for mothers and newborns (particularly those that are critically ill) after birth, yet many problems stand in the way of its usefulness. Hospital administrators, perinatal pathologists, and clinicians should work together to improve access to and contents of reports. Support for new methods to provide quick placenta information is warranted.

Identifiants

pubmed: 37289756
doi: 10.1371/journal.pone.0286294
pii: PONE-D-22-28348
pmc: PMC10249791
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0286294

Informations de copyright

Copyright: © 2023 Gallagher et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The details for competing interests for each author are as follows: KG: Co-I R01 (R01EB030130) Development of Software to Rapidly Assess Placenta Images at Birth. Patent application: Systems and Methods Incorporating One or More Modalities to Automatic Placental Analysis. PSU Ref 2022-5452. JA: The author has declared that no competing interests exist. CO-M: The author has declared that no competing interests exist. JP: Reports funding from Pfizer for an RSV vaccine study. WC: Funded by Penn State College of Medicine for research in fetal growth restriction and placental pathology. This work had no bearing on study design, collection, analysis, interpretation of data, and/or decision to submit current work for publication. JG: MPI R01 (R01EB030130) Development of Software to Rapidly Assess Placenta Images at Birth, K08EB030120, Walder Foundation Fund to Retain Clinician Scientists (unnumbered). Patent: Systems and Methods Utilizing Artificial Intelligence for Placental Assessment and Examination. Reference 2019-4905. Patent Application: Systems and Methods Incorporating One or More Modalities to Automatic Placental Analysis. PSU Ref 2022-5452. HS: The author has declared that no competing interests exist. AG: MPI R01 (R01EB030130) Development of Software to Rapidly Assess Placenta Images at Birth. Patent: Systems and Methods Utilizing Artificial Intelligence for Placental Assessment and Examination. Reference 2019-4905. Patent Application: Systems and Methods Incorporating One or More Modalities to Automatic Placental Analysis. PSU Ref 2022-5452.

Références

Pattern Recognit Lett. 2020 Dec;140:165-171
pubmed: 33324026
Ultrasound Obstet Gynecol. 2016 Nov;48(5):579-584
pubmed: 27781319
Acta Paediatr. 2013 Jul;102(7):732-8
pubmed: 23560734
J Perinat Med. 2018 Aug 28;46(6):613-630
pubmed: 30044764
BJOG. 2021 Apr;128(5):827-836
pubmed: 32931608
Pediatr Dev Pathol. 2018 May-Jun;21(3):308-318
pubmed: 28990860
Prenat Diagn. 2016 Oct;36(10):953-960
pubmed: 27568920
Placenta. 2018 Dec 15;74:14-19
pubmed: 30594310
Obstet Gynecol Clin North Am. 2020 Sep;47(3):439-451
pubmed: 32762929
Arch Pathol Lab Med. 2016 Jul;140(7):698-713
pubmed: 27223167
Am J Hum Biol. 2013 Sep-Oct;25(5):655-8
pubmed: 23913477
Comput Med Imaging Graph. 2020 Sep;84:101744
pubmed: 32634729
Int J Dev Biol. 2010;54(2-3):525-30
pubmed: 19876839
Obstet Gynecol. 2017 Apr;129(4):699-706
pubmed: 28333795
Placenta. 2019 Feb;77:46-57
pubmed: 30827355
Hypertension. 2022 Feb;79(2):424-434
pubmed: 34879703
Am J Hum Biol. 2013 Jul-Aug;25(4):566-8
pubmed: 23754589
J Matern Fetal Neonatal Med. 2016;29(2):197-201
pubmed: 25567565
BJOG. 2018 Jul;125(8):1009-1017
pubmed: 29193660
Sci Rep. 2019 Mar 11;9(1):4137
pubmed: 30858514
Obstet Gynecol. 2007 Jan;109(1):35-41
pubmed: 17197585
Int J Epidemiol. 2012 Oct;41(5):1394-9
pubmed: 22997261
J Nutr Educ Behav. 2002 Jul-Aug;34(4):224-30
pubmed: 12217266
Int J Womens Health. 2013 Jun 12;5:309-12
pubmed: 23788842
Obstet Gynecol Clin North Am. 2020 Mar;47(1):17-28
pubmed: 32008667
Eur Heart J. 2011 Sep;32(18):2297-303
pubmed: 21632601
Arch Pathol Lab Med. 1997 May;121(5):449-76
pubmed: 9167599
Obstet Gynecol. 2012 Jun;119(6):1251-8
pubmed: 22617591
Cancer Epidemiol. 2013 Jun;37(3):321-3
pubmed: 23403130
Am J Hum Biol. 2013 Jul-Aug;25(4):534-7
pubmed: 23657899
APMIS. 2018 Jul;126(7):638-646
pubmed: 30129133
Placenta. 2013 Aug;34(8):672-5
pubmed: 23731799
Placenta. 2016 Mar;39:61-9
pubmed: 26992676
Arch Gynecol Obstet. 2020 Jun;301(6):1397-1404
pubmed: 32333099

Auteurs

Kelly Gallagher (K)

Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, United States of America.

Jane-Frances C Aruma (JC)

College of Medicine, Pennsylvania State University College of Medicine University Park Campus, Hershey, Pennsylvania, United States of America.

Christiana N Oji-Mmuo (CN)

Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Penn State University College of Medicine, Hershey, Pennsylvania, United States of America.

Jaimey M Pauli (JM)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Penn State University College of Medicine, Hershey, Pennsylvania, United States of America.

William M Curtin (WM)

Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Penn State University College of Medicine, Hershey, Pennsylvania, United States of America.
Division of Maternal-Fetal Medicine, Department of Pathology and Laboratory Medicine, Penn State University College of Medicine, Hershey, Pennsylvania, United States of America.

Jeffery A Goldstein (JA)

Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.

Heather L Stuckey (HL)

Department of Medicine, Penn State University College of Medicine, Hershey, Pennsylvania, United States of America.

Alison D Gernand (AD)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH