Evidence map›Paper›PMID 41928267›Full record

ArticleReproductive health2026

Identifying the dimensions and components influencing health literacy and self-care in endometriosis: a scoping review.

Zahra Rostami, Leila Nemati-Anaraki, Shahram Sedghi, Parvaneh Mirabi, Rarzieh Zahedi

Abstract readScoping Review
In one paragraph

Article in Reproductive health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Zahra RostamiDepartment of Medical Library and Information Sciences, School of Health Management and Medical Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Leila Nemati-AnarakiHealth Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran. Nematianaraki.l@iums.ac.ir.
Shahram SedghiDepartment of Medical Library and Information Sciences, School of Health Management and Medical Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Parvaneh MirabiInfertility and Reproductive Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Rarzieh ZahediDepartment of Library and Information Science, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometriosis is a chronic, progressive inflammatory disorder affecting nearly 10% of reproductive-age women, yet it remains substantially underdiagnosed. Limited health literacy, inadequate access to reliable information, and reliance on variable-quality digital resources hinder timely symptom recognition and effective self-management. Understanding the determinants of health literacy and self-care is therefore essential to improving disease outcomes.

methodsThis scoping review followed the Arksey and O’Malley framework, refined by Levac et al., and reported in accordance with PRISMA-ScR guidelines. A systematic search of PubMed, Scopus, Web of Science, and Google Scholar identified English-language studies published between 2014 and 2024 related to endometriosis, health literacy, self-care, and digital health. Eligible qualitative, quantitative, and mixed-methods studies were independently screened by two reviewers, charted using a standardized extraction form, and synthesized thematically across four domains: educational, psychosocial, technological, and structural/systemic components.

resultsAcross 20 included studies, four major domains were identified. Educational findings revealed persistent gaps in disease knowledge and symptom recognition, with targeted educational programs and digital tools shown to improve literacy and support earlier diagnosis. Psychosocial findings highlighted significant emotional distress, stigma, and social isolation; family support, peer networks, and online communities played crucial roles in promoting coping and engagement in self-care. Technological findings showed that mobile health (mHealth) applications, symptom-tracking platforms, and supportive text-based interventions can enhance awareness, self-management, and patient–provider communication, despite concerns about inconsistent online information quality. Structural findings emphasized diagnostic delays, inadequate provider awareness, and limited access to specialized services; emerging digital screening tools and machine learning models show promise but require integration into broader health system reforms.

conclusionThis review indicates that effective endometriosis management requires a multidimensional approach. Limited women awareness of the disease and treatment options remains a major barrier to informed decision-making and self-care, underscoring the need for targeted educational interventions. Digital health tools, such as symptom-tracking applications, can enhance health literacy and self-management, though their impact depends on the availability of reliable resources and adequate digital health literacy. Overall, integrating educational, psychosocial, technological, and system-level strategies holds promise for improving early diagnosis, symptom management, and quality of life among women with endometriosis, particularly in resource-constrained settings.

Indexed as

EndometriosisHealth LiteracySelf CareDigital HealthFemaleHealth Knowledge, Attitudes, PracticeHumansDigital HealthEndometriosisHealth LiteracySelf-care

Identifiers

PMID41928267
PMCPMC13170141

What Socratic 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 Socratic graph.