Literature DB >> 28878437

Randomized controlled trial for assessment of Internet of Things system to guide intensive glucose control in diabetes outpatients: Nagoya Health Navigator Study protocol.

Takeshi Onoue1, Motomitsu Goto1, Tomoko Kobayashi1, Takashi Tominaga1, Masahiko Ando2, Hiroyuki Honda3, Yasuko Yoshida3, Takahiro Tosaki4, Hisashi Yokoi5, Sawako Kato6, Shoichi Maruyama6, Hiroshi Arima1.   

Abstract

The Internet of Things (IoT) allows collecting vast amounts of health-relevant data such as daily activity, body weight (BW), and blood pressure (BP) automatically. The use of IoT devices to monitor diabetic patients has been studied, but could not evaluate IoT-dependent effects because health data were not measured in control groups. This multicenter, open-label, randomized, parallel group study will compare the impact of intensive health guidance using IoT and conventional medical guidance on glucose control. It will be conducted in outpatients with type 2 diabetes for a period of 6 months. IoT devices to measure amount of daily activity, BW, and BP will be provided to IoT group patients. Healthcare professionals (HCPs) will provide appropriate feedback according to the data. Non-IoT control, patients will be given measurement devices that do not have a feedback function. The primary outcome is glycated hemoglobin at 6 months. The study has already enrolled 101 patients, 50 in the IoT group and 51 in the non-IoT group, at the two participating outpatient clinics. The baseline characteristics of two groups did not differ, except for triglycerides. This will be the first randomized, controlled study to evaluate IoT-dependent effects of intensive feedback from HCPs. The results will validate a new method of health-data collection and provision of feedback suitable for diabetes support with increased effectiveness and low cost.

Entities:  

Keywords:  Internet of Things; health guidance; type 2 diabetes; wearable device

Mesh:

Substances:

Year:  2017        PMID: 28878437      PMCID: PMC5577018          DOI: 10.18999/nagjms.79.3.323

Source DB:  PubMed          Journal:  Nagoya J Med Sci        ISSN: 0027-7622            Impact factor:   1.131


  23 in total

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Journal:  N Engl J Med       Date:  2013-06-24       Impact factor: 91.245

3.  Interindividual variation in posture allocation: possible role in human obesity.

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Journal:  Science       Date:  2005-01-28       Impact factor: 47.728

4.  Web-based care management in patients with poorly controlled diabetes.

Authors:  Graham T McMahon; Helen E Gomes; Sara Hickson Hohne; Tang Ming-Jye Hu; Betty A Levine; Paul R Conlin
Journal:  Diabetes Care       Date:  2005-07       Impact factor: 19.112

5.  DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients.

Authors:  Kayo Waki; Hideo Fujita; Yuji Uchimura; Koji Omae; Eiji Aramaki; Shigeko Kato; Hanae Lee; Haruka Kobayashi; Takashi Kadowaki; Kazuhiko Ohe
Journal:  J Diabetes Sci Technol       Date:  2014-03-13

Review 6.  Nonexercise activity thermogenesis--liberating the life-force.

Authors:  J A Levine
Journal:  J Intern Med       Date:  2007-09       Impact factor: 8.989

7.  A pharmacist-led, American Heart Association Heart360 Web-enabled home blood pressure monitoring program.

Authors:  David J Magid; Kari L Olson; Sarah J Billups; Nicole M Wagner; Ella E Lyons; Beverly A Kroner
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2013-03-05

8.  Active assistance technology reduces glycosylated hemoglobin and weight in individuals with type 2 diabetes: results of a theory-based randomized trial.

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9.  Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.

Authors:  Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; Shoshana H Ballew; Ann L Gruber-Baldini
Journal:  Diabetes Care       Date:  2011-07-25       Impact factor: 19.112

Review 10.  The Impact of Automated Brief Messages Promoting Lifestyle Changes Delivered Via Mobile Devices to People with Type 2 Diabetes: A Systematic Literature Review and Meta-Analysis of Controlled Trials.

Authors:  Carukshi Arambepola; Ignacio Ricci-Cabello; Pavithra Manikavasagam; Nia Roberts; David P French; Andrew Farmer
Journal:  J Med Internet Res       Date:  2016-04-19       Impact factor: 5.428

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  5 in total

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2.  Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring.

Authors:  N Hernandez; L Castro; J Medina-Quero; J Favela; L Michan; W Ben Mortenson
Journal:  J Healthc Inform Res       Date:  2021-02-01

3.  Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things.

Authors:  Lin Yao; Danmei Shang; Hui Zhao; Shuyu Hu
Journal:  J Healthc Eng       Date:  2021-03-03       Impact factor: 2.682

4.  Comparison of the Mental Burden on Nursing Care Providers With and Without Mat-Type Sleep State Sensors at a Nursing Home in Tokyo, Japan: Quasi-Experimental Study.

Authors:  Sakiko Itoh; Hwee-Pink Tan; Kenichi Kudo; Yasuko Ogata
Journal:  JMIR Aging       Date:  2022-03-23

5.  A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis.

Authors:  Annica Kristoffersson; Maria Lindén
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  5 in total

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