Urinary Retention Evaluation and Catheterization Algorithm for Adult Inpatients.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 Jul 2024
Historique:
medline: 16 7 2024
pubmed: 16 7 2024
entrez: 16 7 2024
Statut: epublish

Résumé

Acute urinary retention (UR) is common, yet variations in diagnosis and management can lead to inappropriate catheterization and harm. To develop an algorithm for screening and management of UR among adult inpatients. In this mixed-methods study using the RAND/UCLA Appropriateness Method and qualitative interviews, an 11-member multidisciplinary expert panel of nurses and physicians from across the US used a formal multi-round process from March to May 2015 to rate 107 clinical scenarios involving diagnosis and management of adult UR in postoperative and medical inpatients. The panel ratings informed the first algorithm draft. Semistructured interviews were conducted from October 2020 to May 2021 with 33 frontline clinicians-nurses and surgeons from 5 Michigan hospitals-to gather feedback and inform algorithm refinements. Panelists categorized scenarios assessing when to use bladder scanners, catheterization at various scanned bladder volumes, and choice of catheterization modalities as appropriate, inappropriate, or uncertain. Next, qualitative methods were used to understand the perceived need, usability, and potential algorithm uses. The 11-member expert panel (10 men and 1 woman) used the RAND/UCLA Appropriateness Method to develop a UR algorithm including the following: (1) bladder scanners were preferred over catheterization for UR diagnosis in symptomatic patients or starting as soon as 3 hours since last void if asymptomatic, (2) bladder scanner volumes appropriate to prompt catheterization were 300 mL or greater in symptomatic patients and 500 mL or greater in asymptomatic patients, and (3) intermittent was preferred to indwelling catheterization for managing lower bladder volumes. Interview findings were organized into 3 domains (perceived need, feedback on algorithm, and implementation suggestions). The 33 frontline clinicians (9 men and 24 women) who reviewed the algorithm reported that an evidence-based protocol (1) was needed and could be helpful to clinicians, (2) should be simple and graphically appealing to improve rapid clinician review, and (3) should be integrated within the electronic medical record and prominently displayed in hospital units to increase awareness. The draft algorithm was iteratively refined based on stakeholder feedback. In this study using a systematic, multidisciplinary, evidence- and expert opinion-based approach, a UR evaluation and catheterization algorithm was developed to improve patient safety by increasing appropriate use of bladder scanners and catheterization. This algorithm addresses the need for practical guidance to manage UR among adult inpatients.

Identifiants

pubmed: 39012634
pii: 2821168
doi: 10.1001/jamanetworkopen.2024.22281
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2422281

Auteurs

Kristin Chrouser (K)

Department of Urology, University of Michigan, Ann Arbor.
VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.

Karen E Fowler (KE)

VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.

Jason D Mann (JD)

Division of Geriatrics, Department of Internal Medicine, University of Michigan, Ann Arbor.

Martha Quinn (M)

School of Public Health, University of Michigan, Ann Arbor.

Jessica Ameling (J)

Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.

Samantha Hendren (S)

Department of Surgery, University of Michigan, Ann Arbor.
Michigan Surgical Quality Collaborative, Ann Arbor.

Greta Krapohl (G)

Michigan Surgical Quality Collaborative, Ann Arbor.
Veterans Health Administration National Center for Patient Safety, Ann Arbor, Michigan.

Ted A Skolarus (TA)

VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Department of Surgery, University of Chicago, Chicago, Illinois.

Steven J Bernstein (SJ)

VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.

Jennifer Meddings (J)

VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.
Division of General Pediatrics, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor.

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