Evidence map›Paper›PMID 32218886›Full record

ArticleClinical scholars review2014

Potential Inappropriate Treatment of Suspected Urinary Tract Infections Among Nursing Home Residents.

Angela Norman, Todd Monroe, Michael Carter

Open access · greenAbstract read
In one paragraph

Article in Clinical scholars review, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 31% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 1 country.

Angela NormanUniversity of Arkansas for Medical Sciences, South Arkansas Center on Aging.
Todd MonroeVanderbilt University School of Nursing, Nashville, Tennessee.
Michael CarterUniversity of Tennessee Health Science Center, Memphis, Tennessee.
University of Arkansas for Medical Sciences · USUniversity of Tennessee Health Science Center · USVanderbilt University · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000445
6 · The paper itself

Abstract

objectiveTo determine if nurse practitioners and physicians followed recommended practice guidelines prior to the initiation of antibiotics among long-term care (LTC) residents with suspected urinary tract infections (UTIs).

methodsA retrospective review of 1-year reported cases of UTIs in 2 rural southern nursing homes.

resultsThere were 175 cases of UTI reported in the 2 homes, but 6 cases were reported in error. Only 4 of the 169 remaining cases met the diagnostic criteria for UTI. The remaining 169 cases received inappropriate antibiotics. Some of these cases may represent asymptomatic bacteria rather than UTI. Problems were identified with the methods used to collect urine sample that were sent to the laboratory for culture.

conclusionWe found that in 2 nursing homes, almost all of the reported cases of UTI did not meet the accepted diagnostic criteria. Also, there was inappropriate antibiotic therapy for most of these residents. Nurse practitioners and physicians should accurately determine the presence of UTI and document in the medical record prior to initiating antibiotic. Urine specimens should be collected using appropriate methods. Nursing homes should only report to the Centers for Medicare and Medicaid Services (CMS) those cases that meet the diagnostic criteria as a UTI.

Indexed as

bacteriuriaeldersnursing homesUTI

Identifiers

PMID32218886
PMCPMC7098804
OpenAlexW2316008401

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.