Evidence map›Paper›PMID 39805979›Full record

ArticleEuropean journal of pediatrics2025

Efficacy of the Roy Adaptation Model with smartphone training in reducing urinary tract infection in pediatric clean intermittent catheterization: a prospective study.

Canan Sari, Mukaddes Kalyoncu

Abstract read
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Article in European journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Canan SariDepartment of Health Care Services, Elderly Care, Tonya Vocational School, Trabzon University, Tonya, Trabzon, Turkey. canan.sari@trabzon.edu.tr.
Mukaddes KalyoncuPediatric Nephrology AB, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStudy aimed to compare incidence of urinary tract infection (UTI), type of bacteria grown, development of antibiotic resistance over 2 years in children whose caregivers underwent training based on the Roy Adaptation Model with an android phone application for patients clean intermittent catheterization (RAMACIC) versus those whose caregivers received routine training in hospital.

methodThis study was conducted as a descriptive, prospective study with 40 patients and caregivers between October 2021 and 2023 as a continuation of a previously conducted randomized controlled experimental study by the researchers. Data were collected the "Participant Form," and "Urine Test Form" analyzed with the SPSS 22 package. Descriptive data were determined by number (n), percentage (%), mean, and standard deviation. The frequency of UTI between the two groups was determined by the Chi-square test, and the effect size of the data was determined by Cramer's V value of the Chi-square test.

resultsA significant reduction in UTI incidence among children of RAMACIC-trained caregivers during the first, second, third, and fourth 6-month periods compared with those under routine CIC training was observed (p < 0.05). It was determined that E. coli was the most frequently grown bacteria in both groups, with a higher rate in the group receiving routine training in the hospital, and antibiotic resistance was higher in the group receiving routine training in the hospital compared with RAMACIC.

conclusionRAMACIC, when administered to caregivers, effectively lowers the long-term risk of UTI development in patients undergoing CIC, also effective in reducing the antibiotic resistance that developed in patients.

Indexed as

CaregiversIntermittent Urethral CatheterizationMobile ApplicationsSmartphoneUrinary Tract InfectionsChildChild, PreschoolFemaleHumansIncidenceInfantMaleProspective StudiesCaregiverChildClean intermittent catheterizationRoy Adaptation ModelSmartphoneUrinary tract infections

Identifiers

PMID39805979
PMCPMC11729066

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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.