Evidence map›Paper›PMID 39698440›Full record

ArticleGynecologic oncology reports2024

Readability assessment of Spanish online patient education materials in gynecologic oncology.

Dionna Thomas, Rubina Ratnaparkhi

Abstract read
In one paragraph

Article in Gynecologic oncology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Dionna ThomasUniversity of Kansas School of Medicine, Kansas City, KS, USA.
Rubina RatnaparkhiDivision of Gynecologic Oncology, University of Kansas Medical Center, Kansas City, KS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Over half of Spanish-speaking patients use the internet to understand their diagnosis. We evaluated readability of Spanish online patient education materials (OPEMs) about gynecologic cancer to assess compliance with National Institute of Health (NIH) recommendations to be at or below eighth grade reading level. Methods: We conducted an online search using six Spanish gynecologic cancer terms on three major search engines with cookies and location disabled. The first five results by cancer type were included. Readability was analyzed by Spanish Simple Measure of Gobbledygook (SMOG) and Gilliam-Peña-Mountain (GPM) indices. One-way ANOVA with Tukey's Honestly Significant Difference (HSD) post-hoc analysis was performed. Results: 322 unique OPEMs were retrieved using Spanish queries. This included 132 (41 %) from non-profit organizations, 114 (35.4 %) from governmental organizations, and 63 (19.5 %) from academic medical centers; the remainder were from professional medical society or pharmaceutical company sources. Overall, gynecologic oncology OPEMs were written at a mean 9.8 ± 1.2 grade reading level. Only 14 % of OPEMs were written at or below an eighth grade reading level. There were significant differences in readability by publishing source (p < 0.001). Though there were no significant differences in readability by cancer type (p = 0.07), the mean reading level for all cancer types was between ninth and eleventh grade level. Conclusions: 86% of readily searchable Spanish gynecologic oncology OPEMs are written above recommended reading levels. Gynecologic oncologists should curate and support Spanish-speaking patients in finding high-quality online educational content.

Indexed as

Health literacyOnline health resourcesPatient educationReadabilitySpanish

Identifiers

PMID39698440
PMCPMC11652934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.