Evidence map›Paper›PMID 37020409›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Evaluation of the Impact of Remote Monitoring Using the Sharesource Connectivity Platform on Adherence to Automated Peritoneal Dialysis in 51 Patients.

Min-Yu Chang, Po-Jui Chi, Hsi-Hao Wang, Yi-Che Lee, Li-Chun Ho, Ching-Fang Wu, Ching-Yang Chen, Hung-Hsiang Liou, Shih-Yuan Hung

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Min-Yu ChangDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Po-Jui ChiDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Hsi-Hao WangDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Yi-Che LeeDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Li-Chun HoDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Ching-Fang WuDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Ching-Yang ChenDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Hung-Hsiang LiouDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Shih-Yuan HungDepartment of Nephrology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.ORCID 0000-0001-8050-0029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study from a single center in Taiwan aimed to evaluate the impact of remote patient monitoring (RPM) using the Sharesource connectivity platform on adherence to automated peritoneal dialysis (APD) in 51 patients. MATERIAL AND METHODS We analyzed data on 51 patients with end-stage renal disease (ESRD) under APD. They were treated with a traditional APD machine HomeChoice (phase 1), changed to new APD machine HomeChoice Claria for 12 weeks (phase 2), then connected to the Sharesource platform for another 12 weeks (phase 3), and were followed up for 1 year. The non-adherence rate was compared between the 3 phases. The secondary outcomes included peritonitis rate, hospitalization rate, and hospitalization days, 1 year before and after receiving a new APD machine. Patients were subdivided into good and poor adherence (>1 episode of non-adherence in phase 1) groups for further analysis. RESULTS The average non-adherence rates were 10.5%, 5.1%, and 4.9% in phases 1, 2, and 3, respectively, although differences were not significant. Serum potassium (P<0.0001) and C-reactive protein (CRP) (P=0.026) levels significantly decreased in phase 3. The 1-year peritonitis rate, hospitalization rate, and number of days of hospitalization showed no significant changes. Subgroup analysis revealed that the non-adherence rate in the poor adherence group decreased from 48.4% in phase 1 to 14.2% and 12.4% in phases 2 and 3, respectively (P=0.007). CONCLUSIONS Remoting monitoring using the Sharesource connectivity platform increased dialysis adherence in APD treatment, especially in patients with poor adherence. Serum potassium level and inflammation status were also improved by this system.

Indexed as

Kidney Failure, ChronicPeritoneal DialysisPeritoneal Dialysis, Continuous AmbulatoryPeritonitisHumansPotassiumPotassium

Identifiers

PMID37020409
PMCPMC10088459

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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.