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Enregistrement W4402555042

Pelvic Floor Muscle Training for Stress Urinary Incontinence, Fecal Incontinence, and Pelvic Organ Prolapse: A Health Technology Assessment.

2024· article· en· W4402555042 sur OpenAlexaboutno aff

Notice bibliographique

RevuePubMed · 2024
Typearticle
Langueen
DomaineMedicine
ThématiquePelvic floor disorders treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUrinary incontinenceMedicinePelvic Floor MuscleFecal incontinencePelvic floorUrologyStress incontinenceGynecologyPhysical therapySurgery
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: Stress urinary incontinence, fecal incontinence, and pelvic organ prolapse are common forms of pelvic floor dysfunction. Pelvic floor muscle training is used to improve pelvic floor function, through a program of exercises. We conducted a health technology assessment of pelvic floor muscle training for people with stress urinary incontinence, fecal incontinence, or pelvic organ prolapse, which included an evaluation of effectiveness, safety, and the budget impact of publicly funding pelvic floor muscle training, and patient preferences and values. Methods: We performed a systematic literature search of the clinical evidence. We assessed the risk of bias of included studies using the ROBIS tool, for systematic reviews, and the Cochrane Risk of Bias tool, for randomized controlled trials, and we assessed the quality of the body of evidence according to Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria. We performed a systematic economic literature search but did not conduct a primary economic evaluation. We also analyzed the budget impact of publicly funding pelvic floor muscle training in adults with stress urinary incontinence, fecal incontinence, and pelvic organ prolapse in Ontario. To contextualize the potential value of pelvic floor muscle training as a treatment, we spoke with people with stress urinary incontinence, fecal incontinence, and pelvic organ prolapse. Results: We included 6 studies (4 systematic reviews and 2 randomized controlled trials) in the clinical evidence review. In comparison with no treatment, pelvic floor muscle training significantly improved symptom severity and increased patient satisfaction in women with stress urinary incontinence or pelvic organ prolapse (GRADE: Moderate). For men with stress urinary incontinence after prostatectomy, pelvic floor muscle training yielded mixed results for symptom improvement (GRADE: Very low). For adults with fecal incontinence, pelvic floor muscle training did not improve symptoms in comparison with standard care (GRADE: Very low).In the economic literature review, we included 6 cost-utility analyses that had evaluated the cost-effectiveness of pelvic floor muscle training as a treatment for people with pelvic organ prolapse or urinary incontinence. We did not identify any economic studies on pelvic floor muscle training for women or men with fecal incontinence or men with pelvic organ prolapse. The analyses included in our review found that, for women with stress urinary incontinence, pelvic floor muscle training was likely cost-effective in comparison with other nonsurgical interventions. For men with urinary incontinence after prostate surgery, pelvic floor muscle training was likely not cost-effective in comparison with standard care. For women with pelvic organ prolapse, the cost-effectiveness of pelvic floor muscle training in comparison with no active treatment was uncertain.The average cost of pelvic floor muscle training was approximately $763 per patient. Publicly funding pelvic floor muscle training for women with stress urinary incontinence, fecal incontinence, and pelvic organ prolapse would result in additional costs over 5 years of $185.3 million, $275.6 million, and $85.8 million, respectively. Publicly funding pelvic floor muscle training for men with stress urinary incontinence and fecal incontinence would result in additional costs over 5 years of $10.8 million and $131.1 million, respectively. The people we spoke with reported that stress urinary incontinence, fecal incontinence, and pelvic organ prolapse limited their social and physical activities, taking a huge emotional toll. Many were hesitant or even fearful of surgery, and most people with experience of pelvic floor muscle training reported that it relieved most or all of their symptoms and allowed them to return to normal daily activities. Conclusions: Pelvic floor muscle training is likely more effective (with respect to symptom improvement and patient satisfaction) than no treatment for women with stress urinary incontinence or pelvic organ prolapse. Pelvic floor muscle training may yield mixed results with respect to symptom improvement for men with stress urinary incontinence after prostatectomy and have little to no effect on symptom improvement for adults with fecal incontinence. We estimate that publicly funding pelvic floor muscle training for adults with pelvic floor dysfunction (stress urinary incontinence, fecal incontinence, and pelvic organ prolapse) in Ontario would result in a substantial budget increase over the next 5 years. People with stress urinary incontinence, fecal incontinence, and pelvic organ prolapse shared the negative impact these conditions have on their social and physical life and valued pelvic floor muscle training as a nonsurgical treatment option.

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)0,027
score de la tête « metaresearch » (Gemma)0,085
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,143

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0270,085
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0090,017
Bibliométrie0,0190,012
Études des sciences et des technologies0,0010,001
Communication savante0,0050,003
Science ouverte0,0020,003
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,027
Tête enseignante GPT0,302
Écart entre enseignants0,275 · 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'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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