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Enregistrement W4414078734 · doi:10.1016/j.cont.2025.102186

262 - Exploring women’s experiences with endometriosis-associated pelvic pain following participation in pelvic floor muscle exercises or pelvic floor muscle relaxation combined with mindfulness intervention programme: a qualitative study

2025· article· en· W4414078734 sur OpenAlexaff
Shaza Kadah, S Soh, Mélanie Morin, Udari N. Colombage, Jim Tsaltas, Nyasha Gwata, Benjamin A. White, Helena Frawley

Notice bibliographique

RevueContinence · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueEndometriosis Research and Treatment
Établissements canadiensUniversité de Sherbrooke
Organismes subventionnairesnon disponible
Mots-clésPelvic floorRelaxation (psychology)MindfulnessPelvic Floor MuscleIntervention (counseling)Muscle relaxation

Résumé

récupéré en direct d'OpenAlex

Hypothesis / aims of study Pelvic floor muscle (PFM) exercise is commonly prescribed to women with endometriosis-associated pelvic pain (EAPP). [1] However, women’s experiences with this intervention are unknown. The aim of this study was to explore the experiences of women with EAPP regarding PFM exercise, providing insights for interpreting the findings of a randomised controlled trial involving women who participated in an intervention programme that included PFM exercises and mindfulness. Study design, materials and methods This was a qualitative study nested within a pilot randomised controlled trial. Semi-structured interviews, guided by the Theoretical Framework of Acceptability, were performed with participants with EAPP who participated in an 8-week intervention programme. The framework conceptualises acceptability through seven key constructs: affective attitude, burden, ethicality, intervention coherence, opportunity costs, perceived effectiveness, and self-efficacy. [2] The intervention programme included either PFM contraction-plus-relaxation (PFMC+R) or PFM relaxation-only (PFMR), and both groups also received mindfulness training. Purposive sampling was used to recruit participants from the trial for this qualitative study. In order to achieve maximum variation sampling, participants with different intensities of general pelvic pain and different adherence levels were sampled. Individual interviews were conducted via videoconference (Zoom™) one to two weeks after the last intervention session. A research team member who was not involved in delivering the intervention conducted the interviews to reduce the likelihood of positive response bias. Interview data were recorded and transcribed verbatim. Direct content analysis was conducted using a combination of deductive and inductive processes. Results A total of 16 participants (PFMC+R=9; PFMR=7) with a mean age of 30 (SD=4.23) were interviewed. Participants in both groups reported positive experiences in terms of the intervention components, delivery mode, exercise progression and perceived beneficial effects on their EAPP symptoms (Table 1). Factors that facilitated engagement with the intervention in both groups included a well-explained programme, tailoring of PFM exercises based on their abilities and pain level, and varying mindfulness recordings. Participants in both groups also identified barriers that hindered their abilities to perform PFM exercises and mindfulness, such as severe pelvic pain and fatigue. Additionally, participants in both groups described strategies to overcome these barriers, such as shortening mindfulness practice, and reducing the number of exercise repetitions during painful days. Some differences in participants’ experiences were observed between groups. For example, more participants in the PFMC+R group perceived that the intervention helped them to better cope with pain, reduce their dyspareunia, and improve their PFM strength. There were also more participants from this group that would recommend the intervention for other women with EAPP. Interpretation of results Although participants from both groups reported positive experiences and perceptions about the intervention, the PFMC+R protocol might be more acceptable and beneficial than the PFMR protocol. Findings from this study also highlight the importance of tailoring PFM exercises to individuals’ pain levels, fatigue, and physical capabilities. Concluding message Understanding participants' experiences and perceptions of the PFM exercises and mindfulness interventions is crucial for evaluating the feasibility and potential implementability of an intervention, as these factors influence engagement, adherence, and overall effectiveness. This qualitative study identified factors that facilitated engagement with the intervention programme, barriers that hindered participant’s abilities to undertake PFM exercises and mindfulness, and strategies to overcome these barriers. However, it is important to acknowledge that the relatively small sample size represents a limitation, as the participants may not be fully representative of the broader study population. Despite this, findings from this study could provide insights into how pelvic floor physiotherapy and mindfulness interventions for women with EAPP can be enhanced in clinical practice and future research. Clinicians and researchers should consider these factors and address challenges that limit the ability of women with EAPP to engage in this intervention programme. Download: Download high-res image (143KB) Download: Download full-size image Figure 1 . Table 1: Themes and subthemes Funding No Clinical Trial No Subjects Human Ethics Committee Monash Health Human Research Ethics Committee (HREC/88754/MonH-2022-330436) Helsinki Yes Informed Consent Yes

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,004
Communication savante0,0020,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,047
Tête enseignante GPT0,360
Écart entre enseignants0,313 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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