The Impact of a Remote Monitoring System of Healthcare Resource Consumption in Patients on Automated Peritoneal Dialysis (APD): A simulation Study 

Overview

Journal Clin Nephrol

Specialty Nephrology

Date 2018 Aug 15

PMID 30106369

Citations 6

Authors

Kiyotaka Uchiyama

Naoki Washida

Nobuyuki Yube

Takahiro Kasai

Keisuke Shinozuka

Kohkichi Morimoto

Akihito Hishikawa

Hiroyuki Inoue

Hidenori Urai

Aika Hagiwara

Kentaro Fujii

Shu Wakino

Souzana Deenitchina

Hiroshi Itoh

Affiliations

Soon will be listed here.

Abstract

Aims: Remote monitoring (RM) can improve management of chronic diseases. We evaluated the impact of RM in automated peritoneal dialysis (APD) in a simulation study.

Materials And Methods: We simulated 12 patient scenarios with common clinical problems and estimated the likely healthcare resource consumption with and without the availability of RM (RM+ and RM- groups, respectively). Scenarios were evaluated 4 times by randomly allocated nephrologist-nurse teams or nephrologist-alone assessors.

Results: The RM+ group was assessed as having significantly lower total healthcare resource consumption compared with the RM- group (36.8 vs. 107.5 total episodes of resource consumption, p = 0.002). The RM+ group showed significantly lower "unplanned hospital visits" (2.3 vs. 11.3, p = 0.005), "emergency room visits" (0.5 vs. 5.3, p = 0.003), "home visits" (0.5 vs. 5.8, p = 0.016), "exchanges over the telephone" (18.5 vs. 57.8, p = 0.002), and "change to hemodialysis" (0.5 vs. 2.5, p = 0.003). Evaluations did not differ between nephrologist-nurse teams vs. nephrologist-alone assessors.

Conclusion: RM can be expected to reduce healthcare resource consumption in APD patients. .

Citing Articles

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

Chang M, Chi P, Wang H, Lee Y, Ho L, Wu C Med Sci Monit. 2023; 29:e939523.

PMID: 37020409 PMC: 10088459. DOI: 10.12659/MSM.939523.

Impact of telehealth interventions added to peritoneal dialysis-care: a systematic review.

Biebuyck G, Neradova A, de Fijter C, Jakulj L BMC Nephrol. 2022; 23(1):292.

PMID: 35999512 PMC: 9396599. DOI: 10.1186/s12882-022-02869-6.

Effects of a remote patient monitoring system for patients on automated peritoneal dialysis: a randomized crossover controlled trial.

Uchiyama K, Morimoto K, Washida N, Kusahana E, Nakayama T, Itoh T Int Urol Nephrol. 2022; 54(10):2673-2681.

PMID: 35362819 PMC: 8972739. DOI: 10.1007/s11255-022-03178-5.

The utility of remote patient management in peritoneal dialysis.

Yeter H, Milan Manani S, Ronco C Clin Kidney J. 2021; 14(12):2483-2489.

PMID: 34938532 PMC: 8344514. DOI: 10.1093/ckj/sfab111.

Pilot health technology assessment study: organizational and economic impact of remote monitoring system for home automated peritoneal dialysis.

Amici G, dAngela D, Lo Cicero A, Romanini D, Martino F, Spandonaro F Int Urol Nephrol. 2021; 53(9):1933-1940.

PMID: 33675485 DOI: 10.1007/s11255-021-02816-8.

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