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

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dc.contributor.author Broadbent, Elizabeth en
dc.contributor.author Garrett, Jeff en
dc.contributor.author Jepsen, Nicola en
dc.contributor.author Li Ogilvie, Vickie en
dc.contributor.author Ahn, Ho Seok en
dc.contributor.author Robinson, Hayley en
dc.contributor.author Peri, Kathryn en
dc.contributor.author Kerse, Ngaire en
dc.contributor.author Rouse, Antony en
dc.contributor.author Pillai, Avineshwaran en
dc.contributor.author MacDonald, Bruce en
dc.date.accessioned 2018-10-11T23:00:03Z en
dc.date.issued 2018-02-13 en
dc.identifier.citation Journal of medical internet research 20(2):e45 13 Feb 201 en
dc.identifier.issn 1439-4456 en
dc.identifier.uri http://hdl.handle.net/2292/41096 en
dc.description.abstract 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. TRIAL REGISTRATION:Australian New Zealand Clinical Trials Registry ACTRN12615000259549; http://www.anzctr.org.au (Archived by WebCite at  http://www.webcitation.org/6whIjptLS). en
dc.format.medium Electronic en
dc.language eng en
dc.relation.ispartofseries Journal of medical Internet research en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Humans en
dc.subject Pulmonary Disease, Chronic Obstructive en
dc.subject Exercise Therapy en
dc.subject Pilot Projects en
dc.subject Robotics en
dc.subject Quality of Life en
dc.subject Home Care Services en
dc.subject Female en
dc.subject Male en
dc.title Using Robots at Home to Support Patients With Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial. en
dc.type Journal Article en
dc.identifier.doi 10.2196/jmir.8640 en
pubs.issue 2 en
pubs.begin-page e45 en
pubs.volume 20 en
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 29439942 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Research Support, Non-U.S. Gov't en
pubs.subtype research-article en
pubs.subtype Randomized Controlled Trial en
pubs.subtype Journal Article en
pubs.elements-id 725282 en
pubs.org-id Business and Economics en
pubs.org-id Accounting and Finance en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
pubs.org-id Medical and Health Sciences en
pubs.org-id Nursing en
pubs.org-id Population Health en
pubs.org-id School of Medicine en
pubs.org-id Psychological Medicine Dept en
pubs.org-id Science en
pubs.org-id Statistics en
dc.identifier.eissn 1438-8871 en
pubs.record-created-at-source-date 2018-02-15 en
pubs.dimensions-id 29439942 en


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