Patient-identified Treatment Attributes Among Older Men With Stress Urinary Incontinence: A Qualitative Look at What Matters to Patients Making Treatment Decisions.


Journal

Urology
ISSN: 1527-9995
Titre abrégé: Urology
Pays: United States
ID NLM: 0366151

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 24 10 2022
revised: 19 12 2022
accepted: 27 12 2022
medline: 14 8 2023
pubmed: 20 4 2023
entrez: 19 04 2023
Statut: ppublish

Résumé

To investigate which treatment attributes matter to patients with stress urinary incontinence (SUI), why and how they matter, and the context in which patients consider treatment attributes. Nearly a quarter of older men have decisional regret following SUI treatment. Knowledge of what matters to patients when making SUI treatment decisions is necessary to improve goal-concordant care. We conducted semi-structured interviews with 36 men ≥65 years of age with SUI. Semi-structured interviews were conducted by telephone and transcribed. Four researchers (L.H., N.S., E.A., C.B.) coded the transcripts using both deductive and inductive codes to identify and describe treatment attributes. We identified 5 patient-derived treatment attributes of interest among older men with SUI who have faced treatment decisions: (1) dryness, (2) simplicity, (3) potential need for future intervention, (4) treatment regret/satisfaction, and (5) surgical avoidance. These themes reliably emerged in our patient-centered interviews from within various contexts, including prior negative healthcare experiences, the impact of incontinence on daily and quality of life, and the mental health burden of incontinence, among others. Men with SUI weigh a variety of treatment attributes in addition to dryness, a traditional clinical endpoint, and do so within the context of their individual experience. These additional attributes, such as simplicity, may run counter to the goal of dryness. This suggests that traditional clinical endpoints alone are not adequate for counseling patients. Contextualized patient-identified treatment attributes should be used to create decision-support materials to promote goal-concordant SUI treatment.

Identifiants

pubmed: 37076021
pii: S0090-4295(23)00314-X
doi: 10.1016/j.urology.2022.12.071
pmc: PMC10524507
mid: NIHMS1896010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

189-196

Subventions

Organisme : NIA NIH HHS
ID : K24 AG054415
Pays : United States
Organisme : NIA NIH HHS
ID : R03 AG064372
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001872
Pays : United States

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

DECLARATION OF COMPETING INTEREST All authors declare no potential conflicts of interest.

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Auteurs

Lindsay A Hampson (LA)

Department of Urology, School of Medicine, University of California San Francisco, San Francisco, CA; the; Department of Surgery, San Francisco Veterans Affairs Medical Center, San Francisco, CA; the. Electronic address: Lindsay.hampson@ucsf.edu.

Nathan M Shaw (NM)

Department of Urology, School of Medicine, University of California San Francisco, San Francisco, CA; the.

Benjamin N Breyer (BN)

Department of Urology, School of Medicine, University of California San Francisco, San Francisco, CA; the; Department of Epidemiology & Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA; the.

Louise C Walter (LC)

Department of Medicine, School of Medicine, University of California San Francisco, San Francisco, CA; the; Department of Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, CA; the.

Rebecca L Sudore (RL)

Department of Medicine, School of Medicine, University of California San Francisco, San Francisco, CA; the; Department of Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, CA; the.

Matthew R Cooperberg (MR)

Department of Urology, School of Medicine, University of California San Francisco, San Francisco, CA; the; Department of Surgery, San Francisco Veterans Affairs Medical Center, San Francisco, CA; the.

Caitlin Baussan (C)

University of Pittsburg School of Health and Rehabilitation Sciences, Pittsburg, PA; the.

Kathryn Quanstrom (K)

Department of Internal Medicine, Trinity Health Livonia Hospital, Livonia.

I Elaine Allen (I)

Department of Epidemiology & Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA; the.

Dan Dohan (D)

; and the Institute for Health Policy Studies, Department of Medicine, University of California San Francisco, San Francisco, CA.

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