AI Summary of Peer-Reviewed Research

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Discrimination measure validated for family planning settings

A female healthcare provider wearing a stethoscope and white coat sits at a desk across from a female patient in a rust-colored top, engaged in a medical consultation in a modern clinic setting with white cabinetry visible in the background.

What the study found

A nine-item measure of lifetime discrimination in family planning settings was reduced to seven items and showed strong reliability in a nationally representative sample. The study identified two parts of the measure: general healthcare discrimination and stereotype-based discrimination.

Why the authors say this matters

The authors conclude that the updated validation supports the scale’s use for studying discrimination in family planning settings and its relationship with healthcare outcomes. They say it may help assess clinic procedures and interventions aimed at promoting equitable access to high-quality reproductive healthcare.

What the researchers tested

The researchers evaluated the psychometric properties of a nine-item discrimination measure developed by Thorburn Bird and Bogart in 2003. They used data from the nationally representative Person-Centered Contraceptive Access Metrics Survey (unweighted N = 3,059), conducted exploratory factor analysis with principal axis extraction and Promax rotation, assessed reliability with coefficient omega, and tested known-groups validity using weighted linear regression.

What worked and what didn't

The analysis identified two factors and retained seven items from the original measure. The measure showed strong reliability (coefficient omega 0.97) and good fit (TLI = 0.988, RMSEA = 0.066). Known-groups validity testing indicated that people of color experienced higher levels of discrimination in family planning settings than white respondents; Black respondents experienced the highest levels, especially stereotype-based discrimination.

What to keep in mind

The abstract does not describe detailed limitations beyond the study’s scope and the fact that this was a validation in a nationally representative sample. The measure can assess discrimination, but the abstract does not say it can prevent discrimination on its own.

Key points

  • The study validated a discrimination measure for family planning settings using a nationally representative survey sample.
  • Seven of the original nine items were retained, and the analysis found two factors: general healthcare discrimination and stereotype-based discrimination.
  • The measure showed strong reliability and good model fit.
  • People of color reported higher discrimination than white respondents, with Black respondents reporting the highest levels.
  • The authors say the scale may help study discrimination, healthcare outcomes, and efforts to improve reproductive healthcare access.

Disclosure

Research title:
Discrimination measure validated for family planning settings
Authors:
Alina A. Luke, Anu Manchikanti Gómez, Bennett Ah, Melvin Livingston, Jessica M. Sales, Sara K. Redd, Whitney S. Rice
Institutions:
Emory Healthcare, Emory University, University of California, Berkeley, Reproductive Biology Associates
Publication date:
2026-02-27
OpenAlex record:
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AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.