Knowledge is empowerment

Esther van Barneveld
In: maastricht university · 2022 · doi:10.26481/dis.20220421eb · W4283159832
dissertation OA: gold CC0
📄 Open PDF Full text JSON View on OpenAlex View at publisher
⚙ AI-generated summary by qwen3.7-flash, 2026-09-09 ⓘ

This thesis developed an endometriosis-specific smartphone app using experience sampling for real-time symptom assessment to evaluate treatment effects and potentially improve patient empowerment and health outcomes.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by qwen3.7-flash, 2026-09-09 · read from full text ⓘ

This thesis details the development of an endometriosis-specific smartphone application designed to utilize the experience sampling method for real-time symptom assessment. The research aims to capture real-life fluctuations in physical, mood-related, and environmental factors to better understand sickness behavior and identify individualized treatment options. By providing patients with self-insight into their symptoms, the study hypothesizes that this approach can induce patient empowerment and improve overall health outcomes in clinical care. This paper is centrally about endometriosis — specifically focusing on digital tools for symptom monitoring and patient empowerment.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Endometriosis is a chronic disease characterized by the presence of uterine lining (endometrial)-like tissue outside the uterus. Endometriosis-related complaints, such as pain, have a huge impact on the quality of life of these women. There is a need for a reliable way of assessing symptoms with co-occurring factors as a large number of women continue to suffer from chronic pain despite medical treatment. This thesis describes the development of an endometriosis-specific smartphone app that is based on the experience sampling method (ESM) for real-time symptom assessment over time. The ESM provides real-life insight into physical, mood-related, and environmental factors, and measuring fluctuations of these symptoms could provide insight into sickness behaviour. Analysing direct associations could give clues for individualized treatment options which could reduce symptom burden. Furthermore, ESM is highly suitable to accurately evaluate the effect of new treatment options and behavioural therapies. In this thesis it is hypothesized that giving self-insight in symptoms could induce patient empowerment in clinical care in the future and will improve health outcomes.
Full text 1,940 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Abstract

Endometriosis is a chronic disease characterized by the presence of uterine lining (endometrial)-like tissue outside the uterus. Endometriosis-related complaints, such as pain, have a huge impact on the quality of life of these women. There is a need for a reliable way of assessing symptoms with co-occurring factors as a large number of women continue to suffer from chronic pain despite medical treatment. This thesis describes the development of an endometriosis-specific smartphone app that is based on the experience sampling method (ESM) for real-time symptom assessment over time. The ESM provides real-life insight into physical, mood-related, and environmental factors, and measuring fluctuations of these symptoms could provide insight into sickness behaviour. Analysing direct associations could give clues for individualized treatment options which could reduce symptom burden. Furthermore, ESM is highly suitable to accurately evaluate the effect of new treatment options and behavioural therapies. In this thesis it is hypothesized that giving self-insight in symptoms could induce patient empowerment in clinical care in the future and will improve health outcomes. | Original language | English | |---|---| | Awarding Institution | - Maastricht University | | Supervisors/Advisors | - Bongers, Marlies, Supervisor - Leue, Carsten, Co-Supervisor - Lim, Arianne, Co-Supervisor - Maas, Jacques, Co-Supervisor | | Award date | 21 Apr 2022 | | Place of Publication | Maastricht | | Publisher | | | Print ISBNs | 9789464581218 | | DOIs | | | Publication status | Published - 2022 |

Keywords

- endometriosis - pain - psychosomatics - experience sampling method - smartphone-app Fingerprint Dive into the research topics of 'Knowledge is empowerment: real-time symptom assessment in women with endometriosis'. Together they form a unique fingerprint.Cite this - APA - Author - BIBTEX - Harvard - Standard - RIS - Vancouver

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

openalex
last seen: 2026-06-04T00:00:01.174412+00:00
License: CC0 · commercial use OK