The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study

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, 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

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. .

Figures

Figure 1.. Study design. PD = peritoneal…
Figure 1.. Study design. PD = peritoneal dialysis; RM = remote monitoring.
Figure 2.. Comparisons of the frequency of…
Figure 2.. Comparisons of the frequency of healthcare resource consumption episodes between team-based evaluation and nephrologist-alone evaluation. No significant difference was observed between the two groups for any of the resources. RM = remote monitoring.

References

    1. Masakane I Taniguchi M Nakai S Tsuchida K Goto S Wada A Ogata S Hasegawa T Hamano T Hanabusa N Mizuguchi J Nakamoto H Annual dialysis data report 2015, JSDT Registry. Jpn Soc Dial Ther.. 2017; 50: 1–62.
    1. Bro S Bjorner JB Tofte-Jensen P Klem S Almtoft B Danielsen H Meincke M Friedberg M Feldt-Rasmussen B A prospective, randomized multicenter study comparing APD and CAPD treatment. Perit Dial Int. 1999; 19: 526–533.
    1. Wyld M Morton RL Hayen A Howard K Webster AC A systematic review and meta-analysis of utility-based quality of life in chronic kidney disease treatments. PLoS Med. 2012; 9: e1001307.
    1. Klersy C Boriani G De Silvestri A Mairesse GH Braunschweig F Scotti V Balduini A Cowie MR Leyva F Effect of telemonitoring of cardiac implantable electronic devices on healthcare utilization: a meta-analysis of randomized controlled trials in patients with heart failure. Eur J Heart Fail. 2016; 18: 195–204.
    1. Lundell S Holmner Å Rehn B Nyberg A Wadell K Telehealthcare in COPD: a systematic review and meta-analysis on physical outcomes and dyspnea. Respir Med. 2015; 109: 11–26.
    1. Rojahn K Laplante S Sloand J Main C Ibrahim A Wild J Sturt N Areteou T Johnson KI Remote monitoring of chronic diseases: A landscape assessment of policies in four European countries. PLoS One. 2016; 11: e0155738.
    1. Dierckx R Inglis SC Clark RA Prieto-Merino D Cleland JG Telemedicine in heart failure: new insights from the Cochrane meta-analyses. Eur J Heart Fail. 2017; 19: 304–306.
    1. Inglis SC Clark RA McAlister FA Ball J Lewinter C Cullington D Stewart S Cleland JG Structured telephone support or telemonitoring programmes for patients with chronic heart failure. Cochrane Database Syst Rev. 2010; 8: CD007228.
    1. Wallace EL Rosner MH Alscher MD Schmitt CP Jain A Tentori F Firanek C Rheuban KS Florez-Arango J Jha V Foo M de Blok K Marshall MR Sanabria M Kudelka T Sloand JA Remote patient management for home dialysis patients. Kidney Int Rep. 2017; 2: 1009–1017.
    1. Ando K Koyama J Abe Y Sato T Shoda M Soga Y Nobuyoshi M Honda T Nakao K Terata K Kadowaki K Maeda A Ogawa S Manaka T Hagiwara N Doi K Feasibility evaluation of a remote monitoring system for implantable cardiac devices in Japan. Int Heart J. 2011; 52: 39–43.
    1. Lau CP Zhang S Remote monitoring of cardiac implantable devices in the Asia-Pacific. Europace. 2013; 15: i65–i68.
    1. Laplante S McLeod K Danek JA Kudelka TL Sloand JA Gellens ME Use of simulation to assess the impact of a remote monitoring system. Value Health. 2015; 18: A724–A725.
    1. Makhija D Day L Deenitchina S Marshall MR A budget impact analysis of increasing peritoneal dialysis (PD) in Japan Value Health. 2017; 20: A307.
    1. Edefonti A Boccola S Picca M Paglialonga F Ardissino G Marra G Ghio L Parisotto MT Treatment data during pediatric home peritoneal teledialysis. Pediatr Nephrol. 2003; 18: 560–564.
    1. Gallar P Vigil A Rodriguez I Ortega O Gutierrez M Hurtado J Oliet A Ortiz M Mon C Herrero JC Lentisco C Two-year experience with telemedicine in the follow-up of patients in home peritoneal dialysis. J Telemed Telecare. 2007; 13: 288–292.
    1. Lew SQ Sikka N Are patients prepared to use telemedicine in home peritoneal dialysis programs? Perit Dial Int. 2013; 33: 714–715.
    1. Nakamoto H Telemedicine system for patients on continuous ambulatory peritoneal dialysis. Perit Dial Int. 2007; 27: S21–S26.
    1. Nakamoto H Hatta M Tanaka A Moriwaki K Oohama K Kagawa K Wada K Suzuki H Telemedicine system for home automated peritoneal dialysis. Adv Perit Dial. 2000; 16: 191–194.
    1. Nakamoto H Kawamoto A Tanabe Y Nakagawa Y Nishida E Akiba T Suzuki H Telemedicine system using a cellular telephone for continuous ambulatory peritoneal dialysis patients. Adv Perit Dial. 2003; 19: 124–129.
    1. Nayak A Antony S Nayak KS Remote monitoring of peritoneal dialysis in special locations. Contrib Nephrol. 2012; 178: 79–82.
    1. Nayak A Karopadi A Antony S Sreepada S Nayak KS Use of a peritoneal dialysis remote monitoring system in India. Perit Dial Int. 2012; 32: 200–204.
    1. Bernardini J Nagy M Piraino B Pattern of noncompliance with dialysis exchanges in peritoneal dialysis patients. Am J Kidney Dis. 2000; 35: 1104–1110.
    1. Dixon P Hollinghurst S Edwards L Thomas C Foster A Davies B Gaunt D Montgomery AA Salisbury C Cost-effectiveness of telehealth for patients with depression: evidence from the Healthlines randomised controlled trial. BJPsych Open. 2016; 2: 262–269.
    1. Dixon P Hollinghurst S Edwards L Thomas C Gaunt D Foster A Large S Montgomery AA Salisbury C Cost-effectiveness of telehealth for patients with raised cardiovascular disease risk: evidence from the Healthlines randomised controlled trial. BMJ Open. 2016; 6: e012352.
    1. Faruque LI Wiebe N Ehteshami-Afshar A Liu Y Dianati-Maleki N Hemmelgarn BR Manns BJ Tonelli M Effect of telemedicine on glycated hemoglobin in diabetes: a systematic review and meta-analysis of randomized trials. CMAJ. 2017; 189: E341–E364.
    1. Ho TW Huang CT Chiu HC Ruan SY Tsai YJ Yu CJ Lai F Effectiveness of telemonitoring in patients with chronic obstructive pulmonary disease in Taiwan-A randomized controlled trial. Sci Rep. 2016; 6: 23797.
    1. Hofer F Achelrod D Stargardt T Cost-utility analysis of telemonitoring interventions for patients with chronic obstructive pulmonary disease (COPD) in Germany. Appl Health Econ Health Policy. 2016; 14: 691–701.
    1. Liu SX Lee MC Atakhorrami M Tatousek J McCormack M Yung R Hart N White DP Economic assessment of home-based COPD management programs. COPD. 2013; 10: 640–649.
    1. Ricci RP Vicentini A D’Onofrio A Sagone A Rovaris G Padeletti L Morichelli L Fusco A De Vivo S Lombardi L Denaro A Pollastrelli A Colangelo I Santini M Economic analysis of remote monitoring of cardiac implantable electronic devices: Results of the Health Economics Evaluation Registry for Remote Follow-up (TARIFF) study. Heart Rhythm. 2017; 14: 50–57.
    1. Ishii M DRG/PPS and DPC/PDPS as Prospective Payment Systems. Japan Med Assoc J. 2012; 55: 279–291.
    1. Bolger PG Davies R Simulation model for planning renal services in a district health authority. BMJ. 1992; 305: 605–608.
    1. Hamada H Namoto S Yamada R Yamashita AC Ishizaki M Okamoto M Development of a computer-aided diagnosis system for a new modality of renal replacement therapy: an integrated approach combining both peritoneal dialysis and hemodialysis. Comput Biol Med. 2005; 35: 845–861.
    1. Hamada H Namoto S Yamada R Al Mamun A Yamashita AC Ishizaki M Okamoto M Development of a computer-aided diagnosis system for continuous peritoneal dialysis: an availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model. Comput Biol Med. 2007; 37: 1700–1708.
    1. Letsios A The effect of the expenditure increase in the morbidity and the mortality of patients with end stage renal disease: the USA case. Hippokratia. 2011; 15: 16–21.
    1. Villa G Sánchez-Álvarez E Cuervo J Fernández-Ortiz L Rebollo P Ortega F Cost-effectiveness analysis of timely dialysis referral after renal transplant failure in Spain. BMC Health Serv Res. 2012; 12: 257.
    1. Couchoud C Dantony E Elsensohn MH Villar E Ecochard R Modelling treatment trajectories to optimize the organization of renal replacement therapy and public health decision-making. Nephrol Dial Transplant. 2013; 28: 2372–2382.
    1. Nickel M Rideout W Shah N Reintjes F Chen JZ Burrell R Pauly RP Estimating patient-borne water and electricity costs in home hemodialysis: a simulation. CMAJ Open. 2017; 5: E61–E65.

Source: PubMed

3
S'abonner