Evidence map›Paper›PMID 39012634›Full record

ArticleJAMA network open2024

Urinary Retention Evaluation and Catheterization Algorithm for Adult Inpatients.

Kristin Chrouser, Karen E Fowler, Jason D Mann, Martha Quinn, Jessica Ameling, Samantha Hendren, Greta Krapohl, Ted A Skolarus, Steven J Bernstein, Jennifer Meddings

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

10 authors.

Kristin ChrouserDepartment of Urology, University of Michigan, Ann Arbor.
Karen E FowlerVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Jason D MannDivision of Geriatrics, Department of Internal Medicine, University of Michigan, Ann Arbor.
Martha QuinnSchool of Public Health, University of Michigan, Ann Arbor.
Jessica AmelingDivision of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.
Samantha HendrenDepartment of Surgery, University of Michigan, Ann Arbor.
Greta KrapohlMichigan Surgical Quality Collaborative, Ann Arbor.
Ted A SkolarusVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Steven J BernsteinVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Jennifer MeddingsVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.

Funding

AHRQ HHS R01 HS026912
6 · The paper itself

Abstract

Importance: Acute urinary retention (UR) is common, yet variations in diagnosis and management can lead to inappropriate catheterization and harm. Objective: To develop an algorithm for screening and management of UR among adult inpatients. Design, Setting, and Participants: 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. Main Outcomes and Measures: 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. Results: 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. Conclusions and Relevance: 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.

Indexed as

AlgorithmsUrinary CatheterizationUrinary RetentionAdultFemaleHumansInpatientsMaleMiddle AgedQualitative Research

Identifiers

PMID39012634
PMCPMC11252892

What OpenQuestion holds

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Registered trials

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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.