Evidence map›Paper›PMID 39180620›Full record

ArticleInternational urology and nephrology2025

Development of a digital platform for nursing monitoring of patients with chronic kidney failure.

Nataliya Kasimovskaya, Ilia Poleshchuk, Elena Fomina, Eugenia Shatova, Ekaterina Diatlova, Ekaterina Chalova

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Article in International urology and nephrology, 2025. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Nataliya KasimovskayaDepartment of Nursing Management and Social Work, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation. kasimovskaya1@outlook.com.
Ilia PoleshchukDepartment of Nursing Management and Social Work, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.
Elena FominaDepartment of Nursing Management and Social Work, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.
Eugenia ShatovaDepartment of Nursing Management and Social Work, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.
Ekaterina DiatlovaDepartment of Nursing Management and Social Work, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.
Ekaterina ChalovaDepartment of Nursing Management and Social Work, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to develop and propose the key criteria and elements necessary to be included in digital platforms for achieving high-quality monitoring of patients with chronic kidney failure.

methodsThe research was conducted from 2021 to 2023 in Moscow, Russia. A total of 75 patients comprised the experimental group (digital monitoring), while an equal number constituted the control group (standard nursing care).

resultsPatients in the experimental group highly rated the convenience (4.6 ± 0.3) and accessibility (4.7 ± 0.4) levels of the monitoring system compared to those in the control group (convenience: 3.8 ± 0.4, accessibility: 3.9 ± 0.3). Furthermore, it was found that the level of patient satisfaction in the experimental group (4.4 ± 0.3) noticeably exceeded that in the control group (3.9 ± 0.4). The effectiveness of digital platforms is supported by data on the timeliness of detecting changes in patient's health status. In the experimental group, the response time to deteriorating health conditions decreased by 30% compared to the control group.

conclusionThe conclusions of our study underscore the necessity of integrating digital monitoring platforms into medical practice. Monitoring utilizing digital technologies has the potential to significantly enhance patient satisfaction levels as well as promptness in responding to changes in their health status.

Indexed as

Kidney Failure, ChronicAdultAgedFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPatient SatisfactionChronic kidney failureDigital medical platformDigital technologiesNursing care

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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.