Evidence map›Paper›PMID 39066952›Full record

ArticleArchives of gynecology and obstetrics2024

Experiences of patients with endometriosis with a digital health application: a qualitative analysis.

Marco Richard Zugaj, Ariane Germeyer, Karina Kranz, Andrea Züger, Jens Keßler

Abstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Marco Richard ZugajMedical Faculty Heidelberg, Department of Anaesthesiology, Pain Medicine Section, Heidelberg University, Heidelberg, Germany. marco.zugaj@med.uni-heidelberg.de.ORCID http://orcid.org/0009-0007-3173-3214
Ariane GermeyerMedical Faculty Heidelberg, Heidelberg Women's Clinic, Department of Gynaecological Endocrinology and Fertility Disorders, Heidelberg University, Heidelberg, Germany.
Karina KranzMedical Faculty Heidelberg, Center for Psychosocial Medicine, Institute for Medical Psychology, Heidelberg University, Heidelberg, Germany.
Andrea ZügerInstitute for History, Theory and Ethics of Medicine, Justus Liebig University Giessen, Giessen, Germany.
Jens KeßlerMedical Faculty Heidelberg, Department of Anaesthesiology, Pain Medicine Section, Heidelberg University, Heidelberg, Germany.

Funding

Stiftung der Landesbank Baden-Württemberg 2022-198/N
6 · The paper itself

Abstract

backgroundEndometriosis is a frequent disease in women of reproductive age in which the endometrium occurs outside the uterine cavity. Multimodal treatment approaches are necessary due to loss of quality of life and the chronic nature of the disease. Digital health applications (DiGa) are becoming increasingly important. This research project investigates how a healthcare app can influence the subjective experience of illness in patients with endometriosis.

methodsEmpiric data were collected through semi-structured interviews. Data analysis was carried out using qualitative focussed interview analysis. Reliability was ensured by joint interdisciplinary and interprofessional evaluation of the interviews by experts and those affected.

resultsTen patients with endometriosis and the prescribed healthcare app Endo-App

conclusionOnce a DiGa has been prescribed, it may be useful to explain its use on an outpatient basis and validate regular use. Blind re-prescribing of DiGas should be avoided. Younger patients with a recent diagnosis or patients following rehabilitation may benefit more from prescribing.

Indexed as

EndometriosisMobile ApplicationsQualitative ResearchAdultDigital HealthFemaleHumansInterviews as TopicMiddle AgedQuality of LifeSelf EfficacyTelemedicineChronic painEndometriosisHealthcare appQuality of lifeSemi-structured interviewWomen’s health

Identifiers

PMID39066952
PMCPMC11393288

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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.