Evidence map›Paper›PMID 40196280›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Navigating Health Insurance Selection for in Vitro Fertilization (IVF) Benefits: A Study Protocol.

Olumayowa Dayo, Victoria Turcotte, Breanna Reyes, Ricardo E Flores Ortega, Bonnie N Kaiser, Gregory A Aarons, Sara B McMenamin, H Irene Su, Sally A D Romero

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Victoria Turcotte
Breanna Reyes
Ricardo E Flores Ortega
Bonnie N Kaiser

Funding

TRAINING IN REPRODUCTIVE SCIENCEST32HD007203 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAMELA L MELLON · 1988 to 2026
$4.8M
NICHD NIH HHS T32 HD007203
6 · The paper itself

Abstract

Introduction: A large public university added health insurance coverage of 50% co-insurance for up to two cycles of in vitro fertilization (IVF) to eligible faculty and staff. Methods: We describe the design and conduct of a randomized controlled trial to evaluate the effectiveness of a health insurance educational intervention on health insurance literacy and IVF benefit utilization. The intervention materials included 1) Key insurance terms; 2) Examples of premiums and deductibles across the insurance plan options; 3) Examples of how premiums and deductibles affect out-of-pocket costs; and 4) A guide to find in-network providers/facilities. The primary outcome is health insurance literacy. Secondary outcomes are IVF services and insurance benefit utilization, out-of-pocket costs, and financial hardship related to fertility care. We collected validated patient-reported outcomes at three timepoints over 1 year. We will integrate mixed methods data to explore whether the intervention was effective, feasible, acceptable, and appropriate. Results: Among 394 faculty and staff screened, 217 (55%) reproductive-aged (18 to 50 years) employees consented, completed the baseline survey and were randomized in a 2:1 fashion. Participants were female (81%), married (63%), and worked as a staff employee (72%). Approximately 39% reported an infertility diagnosis, and 28% had undergone prior IVF treatment. Participants reported feeling slightly confident when using their health insurance plans and moderately confident being proactive when using their health insurance plans. Discussion: Our goal is to improve health insurance literacy and utilization of health insurance benefits for IVF care, thereby expanding family-building options for reproductive-aged individuals.

Identifiers

PMID40196280
PMCPMC11974983

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.