# Endometriosis Support and Development of Digital Technology–Based Interventions: Systematic Review

**Authors:** Tivizio Pavic, Kévin Nadarajah, Alain Somat, Geneviève Cabagno, Florence Terrade

PMC · DOI: 10.2196/71859 · JMIR Human Factors · 2025-10-14

## TL;DR

This paper reviews digital interventions for endometriosis, finding they offer physical and psychological benefits but lack standardized development methods.

## Contribution

The study provides the first systematic review of digital health interventions for endometriosis, highlighting gaps in methodology and effectiveness.

## Key findings

- Digital interventions for endometriosis show physical and psychological benefits.
- Most studies focus on pain management and disease information, with fewer addressing psychosocial support.
- There is significant variability in how digital interventions are developed and evaluated.

## Abstract

Endometriosis is a chronic disease that affects 1 in 10 women worldwide. The disease affects patients’ daily life at physical, psychological, and social levels. In recent years, the management of this disease has evolved, thanks in particular to the emergence of digital technologies and associated interventions. However, despite their growing use, there seems to be no systematic review of their development, design, and efficacy.

A systematic review was conducted with the aim of characterizing the development process, design, and effectiveness of interventions using a digital tool for endometriosis.

A total of 7 databases (MEDLINE, APA PsycArticles, Academic Search Premier, Psychology and Behavioral Sciences Collection, APA PsycInfo, SocINDEX, and SPORTDiscus) were searched to identify relevant articles published between 2010 and 2024. The articles selected were analyzed using a methodological framework specific to the development of digital health interventions (Design and Evaluation of Digital Health Interventions [DEDHI]), consisting of 4 phases: preparation (phase 1, specific to application development), optimization (phase 2, dedicated to identifying the best intervention configurations), evaluation (phase 3, aiming to confirm the effectiveness of the intervention), and implementation (phase 4, implementing and updating the intervention on a large scale).

A selection of 10 articles was made from the 381 studies retrieved from the databases. Among these 10 studies, 6 distinct digital health interventions were identified. The interventions based on digital devices produced physical and psychological benefits. Analysis using the DEDHI framework showed (1) a disparity in the responses to the different phases (ie, 9/10, 90% of studies responding to phase 1; 3/10, 30% to phase 2; 4/10, 40% to phase 3; and 2/10, 20% to phase 4) and (2) a variability in the completion of the evaluation criteria ranging from 10% (1/10) to 80% (8/10) in phase 1, 0% (0/13) to 77% (10/13) in phase 2, 0% (0/10) to 80% (8/10) in phase 3, and finally 0% (0/13) to 77% (10/13) in phase 4. The objectives of these digital interventions were to support pain management (5/6, 83%), to provide information about the disease and strategies for managing it (4/6, 67%), and to provide psychosocial support (2/6, 33%).

This systematic review highlights an emerging literature, limited regarding the use of digital technology in the management of endometriosis, and heterogeneous concerning the methodologies used. This variability limits the generalizability of the results and requires a nuanced interpretation of the available data. However, the results of this review have demonstrated the value of digital technology–based interventions to support endometriosis, while highlighting the importance of a methodological framework to structure their development to optimize patient support.

## Linked entities

- **Diseases:** endometriosis (MONDO:0005133)

## Full-text entities

- **Diseases:** pain (MESH:D010146), Endometriosis (MESH:D004715)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

110 references — full list in the complete paper: https://tomesphere.com/paper/PMC12569497/full.md

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Source: https://tomesphere.com/paper/PMC12569497