Evidence map›Paper›PMID 41727927›Full record

ArticleO&G open2026

Use and Out-of-Pocket Costs of Antenatal Fetal Surveillance for Patients With Chronic Conditions.

Rebecca A Gourevitch, Amanda Speller, Anna D Sinaiko, Mark A Clapp, Jessica L Cohen

Abstract read
In one paragraph

Article in O&G open, 2026. 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

5 authors.

Rebecca A GourevitchDepartment of Health Policy and Management, University of Maryland, College Park, Maryland; Harvard University Interfaculty Initiative in Health Policy, Boston, Massachusetts; Department of Health Policy and Management and Department of Global Health and Population, Harvard. T.H. Chan School of Public Health, Boston, Massachusetts; and Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts.
Amanda SpellerDepartment of Health Policy and Management, University of Maryland, College Park, Maryland; Harvard University Interfaculty Initiative in Health Policy, Boston, Massachusetts; Department of Health Policy and Management and Department of Global Health and Population, Harvard. T.H. Chan School of Public Health, Boston, Massachusetts; and Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts.
Anna D SinaikoDepartment of Health Policy and Management, University of Maryland, College Park, Maryland; Harvard University Interfaculty Initiative in Health Policy, Boston, Massachusetts; Department of Health Policy and Management and Department of Global Health and Population, Harvard. T.H. Chan School of Public Health, Boston, Massachusetts; and Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts.
Mark A ClappDepartment of Health Policy and Management, University of Maryland, College Park, Maryland; Harvard University Interfaculty Initiative in Health Policy, Boston, Massachusetts; Department of Health Policy and Management and Department of Global Health and Population, Harvard. T.H. Chan School of Public Health, Boston, Massachusetts; and Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts.
Jessica L CohenDepartment of Health Policy and Management, University of Maryland, College Park, Maryland; Harvard University Interfaculty Initiative in Health Policy, Boston, Massachusetts; Department of Health Policy and Management and Department of Global Health and Population, Harvard. T.H. Chan School of Public Health, Boston, Massachusetts; and Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo measure variation in use and out-of-pocket costs for antenatal fetal surveillance (AFS) among commercially insured patients with chronic hypertension or pregestational diabetes.

methodsThis was a cross-sectional analysis of pregnancies of at least 20 weeks of gestation between 2017 and 2022. We used administrative enrollment and health insurance claims data from the Health Care Cost Institute, which includes commercially insured pregnancies nationwide. Our sample included patients with chronic hypertension or pregestational diabetes. Our outcomes were the number of days with AFS testing during pregnancy, the out-of-pocket costs for those tests, and those costs as a proportion of all out-of-pocket costs during pregnancy. We used linear regression models to compare variation in these outcomes by health plan type, patient factors (age, clinical characteristics), and geographic factors (rurality, maternity care access, and area-level income and race distributions).

resultsOur sample included more than 150,000 pregnancies with chronic hypertension or pregestational diabetes. Patients with chronic hypertension received a median of five AFS tests, and those with pregestational diabetes received a median of six. There was significant variation in the number of AFS tests received, with 15.9% of patients with chronic hypertension and 12.3% of those with pregestational diabetes receiving no AFS tests during pregnancy. Receiving no AFS was most common for patients in areas that were rural or low income or had a higher concentration of Black individuals. One-quarter of patients with chronic conditions faced out-of-pocket costs for AFS of $264 or more or $301 or more for one-quarter of patients with pregestational diabetes. Patients in point-of-service or preferred provider organization plans, in rural areas, and in areas with a higher concentration of White people had higher costs.

conclusionAntenatal fetal surveillance is the primary tool for stillbirth prevention, yet we found wide variation in AFS use and costs in this commercially insured population of high-risk pregnancies, including many patients who receive no AFS.

Identifiers

PMID41727927
PMCPMC12922914

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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.