Evidence map›Paper›PMID 33721147›Full record

ReviewBreast cancer research and treatment2021

Evaluation of online Spanish and English health materials for preventive mastectomy. are we providing adequate information?

Diana D Del Valle, Jaime A Pardo, Amy M Maselli, Monica G Valero, Betty Fan, Nargiz Seyidova, Ted A James, Bernard T Lee

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05222763 (Effect Of Web - Supported Interactıve Nursıng Program After Mastectomy On Body Value, Care Dependence And Psychosocıal Adaptatıon To Dısease-Self-Awareness Levels Accordıng To Self-Regulatıon Model), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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.

NCT05222763 nacompletednot on this mapstarted 2022, after this paper: background citation

Effect Of Web - Supported Interactıve Nursıng Program After Mastectomy On Body Value, Care Dependence And Psychosocıal Adaptatıon To Dısease-Self-Awareness Levels Accordıng To Self-Regulatıon Model: Mıxed Method Study

TypeinterventionalSponsorCumhuriyet UniversityRan2022 to 2023Enrolled67ConditionsWeb Based Intervention, Mastectomy, Illness Perception, Nursing CariesArmsWeb-assisted patient education intervention designed according to the self-regulation model, The website where the mastectomy patients handbook
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. Review
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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

8 authors at 1 institution in 1 country.

Diana D Del ValleDivision of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. dianadelvalle.md@gmail.com.ORCID http://orcid.org/0000-0002-6839-3512
Jaime A PardoDivision of Breast Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street, Suite 5A, Boston, MA, 02215, USA.
Amy M MaselliDivision of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Monica G ValeroDivision of Breast Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street, Suite 5A, Boston, MA, 02215, USA.
Betty FanDivision of Breast Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street, Suite 5A, Boston, MA, 02215, USA.
Nargiz SeyidovaDivision of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Ted A JamesDivision of Breast Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street, Suite 5A, Boston, MA, 02215, USA.
Bernard T LeeDivision of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Beth Israel Deaconess Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer remains the leading cause of cancer-related death in US Hispanic women. When present, lower health literacy levels potentially within this patient population require tailored materials to address health disparities. We aim to evaluate and compare Spanish and English online health care informative resources on preventive mastectomy.

methodsA Google web search using "preventive mastectomy" and "mastectomía preventiva" was conducted. The first ten institutional/organizational websites in each language were selected. Assessment of mean reading grade level, cultural sensitivity, understandability, and actionability was carried out utilizing validated tools.

resultsThe mean reading grade level for English materials was 14.69 compared with 11.3 for Spanish, both exceeding the recommended grade level established by the AMA and NIH. The mean cultural sensitivity score for English information was 2.20 compared with 1.88 for Spanish information, both below the acceptability benchmark of 2.5. English webpages scored 65% and 35% for understandability and actionability, respectively, while Spanish webpages scored 47% and 18%.

conclusionsOnline English and Spanish preventive mastectomy materials were written at an elevated reading level and lacked cultural sensitivity. Spanish language information demonstrated inferior understandability, actionability, and cultural sensitivity. Addressing these issues provides an opportunity to help resolve health literature disparities regarding preventive mastectomy for US Hispanic women.

Indexed as

Breast NeoplasmsHealth LiteracyComprehensionFemaleHumansInternetLanguageMastectomyHealth literacyHispanic populationOnline materialsPreventive mastectomyReadability

Identifiers

PMID33721147
OpenAlexW3136044991

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.