Understanding periviable birth: A microeconomic alternative to the dysregulation narrative.


Journal

Social science & medicine (1982)
ISSN: 1873-5347
Titre abrégé: Soc Sci Med
Pays: England
ID NLM: 8303205

Informations de publication

Date de publication:
07 2019
Historique:
received: 10 08 2017
revised: 28 11 2017
accepted: 11 12 2017
pubmed: 25 12 2017
medline: 12 8 2020
entrez: 25 12 2017
Statut: ppublish

Résumé

Periviable infants (i.e., those born in the 20th through 26th weeks of gestation) suffer much morbidity and approximately half die in the first year of life. Attempts to explain and predict these births disproportionately invoke a "dysregulation" narrative. Research inspired by this narrative has not led to efficacious interventions. The clinical community has, therefore, urged novel approaches to the problem. We aim to provoke debate by offering the theory, inferred from microeconomics, that risk tolerant women carry, without cognitive involvement, high risk fetuses farther into pregnancy than do other women. These extended high-risk pregnancies historically ended in stillbirth but modern obstetric practices now convert a fraction to periviable births. We argue that this theory deserves testing because it suggests inexpensive and noninvasive screening for pregnancies that might benefit from the costly and invasive interventions clinical research will likely devise.

Identifiants

pubmed: 29274689
pii: S0277-9536(17)30744-X
doi: 10.1016/j.socscimed.2017.12.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

281-284

Informations de copyright

Copyright © 2017 Elsevier Ltd. All rights reserved.

Auteurs

Ralph Catalano (R)

University of California, Berkeley, United States. Electronic address: rayc@berkeley.edu.

Tim Bruckner (T)

University of California, Irvine, United States.

Lyndsay A Avalos (LA)

Kaiser Permanente Division of Research Northern California, United States.

Holly Stewart (H)

University of California, Berkeley, United States.

Deborah Karasek (D)

University of California, Berkeley, United States.

Shachar Kariv (S)

University of California, Berkeley, United States.

Alison Gemmill (A)

University of California, Berkeley, United States.

Katherine Saxton (K)

Santa Clara University, United States.

Joan Casey (J)

University of California, Berkeley, United States.

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Classifications MeSH