{
  "abstract": "BACKGROUND: Endometriosis treatment requires women to navigate complex, preference-sensitive decisions. Patient Decision Aids (PtDAs) help patients make value-aligned choices. However, the scope and quality of digital PtDAs for endometriosis, and the cap acity of conversational AI platforms to act as PtDAs, remain unclear. OBJECTIVES: Systematically map digital PtDAs for women of reproductive age with endometriosis, describe their content, development, and evaluation, and assess quality and replicability. SEARCH STRATEGY: Electronic databases, Google Scholar, grey literature, and web searches were conducted from inception to July 2025. SELECTION CRITERIA: We included digital PtDAs for women aged 18-49 with a clinical diagnosis of endometriosis that met the minimum criteria established to qualify as a PtDA. Additionally, we developed a prompt to generate five PtDAs using conversational AI platforms, mirroring patient or clinician decision-support queries. DATA COLLECTION AND ANALYSIS: Two independent reviewers extracted data per Joanna Briggs Institute (JBI) scoping reviews methodology. IPDAS criteria (requirements for PtDAs) and TIDieR items (intervention reporting) were applied; data were summarised descriptively and qualitatively. RESULTS: Ten PtDAs were included (five expert-developed; five AI-generated). Overall, most addressed pharmacological and surgical options, while AI-generated PtDAs included more complementary therapies. All described the health condition, decision, and options with balanced pros/cons, but most failed on important IPDAS criteria for high-quality PtDAs. Most expert-developed PtDAs also lacked transparent development reporting and had not been formally evaluated. CONCLUSIONS: Few digital PtDAs for endometriosis were identified; most showed limited adherence to IPDAS criteria, poor reporting transparency, and absent formal evaluation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "Océane Pittet"
    },
    {
      "name": "Marion Delvallée"
    },
    {
      "name": "Nicola Pluchino"
    },
    {
      "name": "Kevin Selby"
    },
    {
      "name": "Glyn Elwyn"
    },
    {
      "name": "Marie-Anne Durand"
    },
    {
      "name": "Marie‐anne Durand"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bfrfv2asjg2tc.bib",
  "cited_by": 0,
  "doi": "10.1111/hex.70881",
  "fulltext_url": null,
  "id": "bfrfv2asjg2tc",
  "issns": [
    "1369-6513",
    "1369-7625"
  ],
  "landing_url": "https://hal.science/hal-05799795v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "hal",
      "1.sdv.spee"
    ],
    [
      "openalex",
      "3600|Patient-Provider Communication in Healthcare"
    ]
  ],
  "openalex": "W7214362013",
  "pdf_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/hex.70881",
  "pmcid": null,
  "pmid": "42788763",
  "published": "2026-09-25",
  "publisher": "Wiley",
  "ris": "https://research.draconitic.com/paper/bfrfv2asjg2tc.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:57Z",
      "native_id": "hal-05799795",
      "source": "hal",
      "url": "https://hal.science/hal-05799795v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "hal:0.sdv",
      "subfield": "general"
    },
    {
      "field": "medicine",
      "origin": "hal:1.sdv.spee",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Digital Patient Decision Aids for Endometriosis Management: A Scoping Review",
  "title_text": "Digital Patient Decision Aids for Endometriosis Management: A Scoping Review",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:57Z",
  "url": "https://research.draconitic.com/paper/bfrfv2asjg2tc",
  "venue": "Health Expectations",
  "versions": []
}