ReviewContraception2025
Measuring abortion in claims data: What is the state of the science?
Review in Contraception, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Later Abortion Care Availability, Quoted Self-Pay Prices, and State Medicaid Acceptance.JAMA network open · 2026Article
- Fertility Rates Among Women With Intellectual and Developmental Disability Enrolled in Medicaid and/or Medicare, 2011-2022.Paediatric and perinatal epidemiology · 2026Article
- Pregnancy outcomes among medically complex populations with high risk of pregnancy mortality in Virginia: a retrospective observational study.BMC medicine · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Health care insurance claims are an increasingly common data source for health outcomes research. While researchers have successfully used several claims data sources for many obstetric and gynecologic questions, the use of claims data for abortion and contraception research poses a number of challenges. In this update on the state of the science in identifying abortion in claims data, we review claims data generally, describe commonly used claims data sources, and detail specific reasons why abortion may be underestimated in claims even when employing best practices. We provide examples of successful approaches for identifying abortion in claims and importantly, spell out limitations when making comparisons across site of care, states, and policy contexts. As increased attention is turned to identifying abortion across diverse settings, it is critical best practices are applied so that the most appropriate inferences regarding abortion incidence across contexts over time are drawn.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.