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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Aug 4, 2017
Open Peer Review Period: Dec 5, 2017 - Sep 21, 2017
Date Accepted: Nov 30, 2017
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Using Robots at Home to Support Patients With Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial

Broadbent E, Garrett J, Jepsen N, Li Ogilvie V, Ahn HS, Robinson H, Peri K, Kerse N, Rouse P, Pillai A, MacDonald B

Using Robots at Home to Support Patients With Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial

J Med Internet Res 2018;20(2):e45

DOI: 10.2196/jmir.8640

PMID: 29439942

PMCID: 5829456

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Using Robots at Home to Support Patients With Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial

  • Elizabeth Broadbent; 
  • Jeff Garrett; 
  • Nicola Jepsen; 
  • Vickie Li Ogilvie; 
  • Ho Seok Ahn; 
  • Hayley Robinson; 
  • Kathryn Peri; 
  • Ngaire Kerse; 
  • Paul Rouse; 
  • Avinesh Pillai; 
  • Bruce MacDonald

Background:

Socially assistive robots are being developed for patients to help manage chronic health conditions such as chronic obstructive pulmonary disease (COPD). Adherence to medication and availability of rehabilitation are suboptimal in this patient group, which increases the risk of hospitalization.

Objective:

This pilot study aimed to investigate the effectiveness of a robot delivering telehealth care to increase adherence to medication and home rehabilitation, improve quality of life, and reduce hospital readmission compared with a standard care control group.

Methods:

At discharge from hospital for a COPD admission, 60 patients were randomized to receive a robot at home for 4 months or to a control group. Number of hospitalization days for respiratory admissions over the 4-month study period was the primary outcome. Medication adherence, frequency of rehabilitation exercise, and quality of life were also assessed. Implementation interviews as well as benefit-cost analysis were conducted.

Results:

Intention-to-treat and per protocol analyses showed no significant differences in the number of respiratory-related hospitalizations between groups. The intervention group was more adherent to their long-acting inhalers (mean number of prescribed puffs taken per day=48.5%) than the control group (mean 29.5%, P=.03, d=0.68) assessed via electronic recording. Self-reported adherence was also higher in the intervention group after controlling for covariates (P=.04). The intervention group increased their rehabilitation exercise frequency compared with the control group (mean difference −4.53, 95% CI −7.16 to −1.92). There were no significant differences in quality of life. Of the 25 patients who had the robot, 19 had favorable attitudes.

Conclusions:

This pilot study suggests that a homecare robot can improve adherence to medication and increase exercise. Further research is needed with a larger sample size to further investigate effects on hospitalizations after improvements are made to the robots. The robots could be especially useful for patients struggling with adherence.

ClinicalTrial:

Australian New Zealand Clinical Trials Registry ACTRN12615000259549; http://www.anzctr.org.au (Archived by WebCite at  http://www.webcitation.org/6whIjptLS)


 Citation

Please cite as:

Broadbent E, Garrett J, Jepsen N, Li Ogilvie V, Ahn HS, Robinson H, Peri K, Kerse N, Rouse P, Pillai A, MacDonald B

Using Robots at Home to Support Patients With Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial

J Med Internet Res 2018;20(2):e45

DOI: 10.2196/jmir.8640

PMID: 29439942

PMCID: 5829456

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.