A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults

Boumans, Roel; Meulen, Fokke B. van; Hindriks, Koen V.; Neerincx, Mark A.; Rikkert, Marcel G M Olde

doi:10.1007/s12369-019-00561-8

Cited by 23 publications

(22 citation statements)

References 25 publications

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“…In the intervention group, four questions based on the Almere model [ 34 ] were asked to evaluate the usability of the robot (see Multimedia Appendix 7 , Table MA7-1). This made it possible to compare these results to our previous work [ 17 , 18 ]. To limit patient burden, survey questions were restricted to three variables: perceived ease of use (two items), perceived enjoyment , and trust [ 34 ].…”

Section: Methodsmentioning

confidence: 53%

“…In our two previous robot studies, which were conducted with 30 and 40 community-dwelling older volunteers, respectively, we found hardly any difference between the answers given to the robot and those given to the health care professional [ 17 , 18 ]. In this study, therefore, we focused on the quality of care perceived by patients and caregivers, hypothesizing that the robot interview would also not be valued less by the intervention group.…”

Section: Methodsmentioning

confidence: 96%

“…D’Onofrio et al describe the MARIO (Managing active and healthy Aging with use of caRing servIce rObots) robot that was designed for the practical daily living support of people with dementia in nursing homes, focusing on differences in feasibility between the United Kingdom, Ireland, and Sweden [ 16 ]. An evaluation of a social robot conducting interviews using medical questions with community-dwelling older adults has been described in Boumans et al [ 17 ]. In a crossover study, 31 participants were subjected to a question-and-answer dialogue with the robot that included personalization and affective statements.…”

Section: Introductionmentioning

confidence: 99%

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Quality of Care Perceived by Older Patients and Caregivers in Integrated Care Pathways With Interviewing Assistance From a Social Robot: Noninferiority Randomized Controlled Trial

Boumans¹,

Meulen²,

Aalst³

et al. 2020

J Med Internet Res

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Background Society is facing a global shortage of 17 million health care workers, along with increasing health care demands from a growing number of older adults. Social robots are being considered as solutions to part of this problem. Objective Our objective is to evaluate the quality of care perceived by patients and caregivers for an integrated care pathway in an outpatient clinic using a social robot for patient-reported outcome measure (PROM) interviews versus the currently used professional interviews. Methods A multicenter, two-parallel-group, nonblinded, randomized controlled trial was used to test for noninferiority of the quality of care delivered through robot-assisted care. The randomization was performed using a computer-generated table. The setting consisted of two outpatient clinics, and the study took place from July to December 2019. Of 419 patients who visited the participating outpatient clinics, 110 older patients met the criteria for recruitment. Inclusion criteria were the ability to speak and read Dutch and being assisted by a participating health care professional. Exclusion criteria were serious hearing or vision problems, serious cognitive problems, and paranoia or similar psychiatric problems. The intervention consisted of a social robot conducting a 36-item PROM. As the main outcome measure, the customized Consumer Quality Index (CQI) was used, as reported by patients and caregivers for the outpatient pathway of care. Results In total, 75 intermediately frail older patients were included in the study, randomly assigned to the intervention and control groups, and processed: 36 female (48%) and 39 male (52%); mean age 77.4 years (SD 7.3), range 60-91 years. There was no significant difference in the total patient CQI scores between the patients included in the robot-assisted care pathway (mean 9.27, SD 0.65, n=37) and those in the control group (mean 9.00, SD 0.70, n=38): P=.08, 95% CI –0.04 to 0.58. There was no significant difference in the total CQI scores between caregivers in the intervention group (mean 9.21, SD 0.76, n=30) and those in the control group (mean 9.09, SD 0.60, n=35): P=.47, 95% CI –0.21 to 0.46. No harm or unintended effects occurred. Conclusions Geriatric patients and their informal caregivers valued robot-assisted and nonrobot-assisted care pathways equally. Trial Registration ClinicalTrials.gov NCT03857789; https://clinicaltrials.gov/ct2/show/NCT03857789

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Section: Methodsmentioning

confidence: 53%

Section: Methodsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Quality of Care Perceived by Older Patients and Caregivers in Integrated Care Pathways With Interviewing Assistance From a Social Robot: Noninferiority Randomized Controlled Trial

Boumans¹,

Meulen²,

Aalst³

et al. 2020

J Med Internet Res

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“…Moreover, Pepper could easily perform application programming. The effects of robot functions were verified in a hospital use-related case study for data collection through patient satisfaction surveys [13,14]. In addition, the use of Pepper by people with dementia and older people was reported [15][16][17].…”

Section: Sar Used In the Experimentsmentioning

confidence: 99%

Impact of the introduction of a verbal socially assistive robot on the relationship between older people and their caregivers in a nursing home

et al. 2020

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This study was aimed at investigating the changes in relationship between older people and caregivers caused by the introduction of a verbal socially assistive robot (SAR) in a nursing home. Twenty-one older people residing on one floor of the nursing home and eight caregivers working at the nursing home participated in the study. A time study was conducted, and behaviours were observed before the introduction of the verbal SAR, on day 1 of the introduction, and on day 14 after the introduction. Pepper (Softbank Co. Ltd.) was used in this study. The conversation time between residents and caregivers increased after the introduction of the verbal SAR. At the time of introduction of the verbal SAR, caregivers were providing personalized care to residents during group gymnastics activities (e.g., talking to them and providing movement instructions). The results of the study indicate that the introduction of the verbal SAR improved the relationship between the residents and caregivers and contributed in improving the delivered quality of care.

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“…Robots and sensors are also used to assist elderly people with dementia [12] and depression [13]. In [14], a social robot is used to complete patient-reported outcome measures (PROMs), used to determine a patient's health and well-being, in conversation with the patients. The participants in this study had a positive impression of the interaction with the robot.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Promoting Autonomy in Care: Combining Sensor Technology and Social Robotics for Health Monitoring

Neef

Richert

2020

7th International Electronic Conference on Sensors and Applications

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As the world’s population grows significantly older, there are not enough caregivers in many countries for all the elderly people in need of care. To promote their autonomy while also supporting their caregivers, we propose a health monitoring system comprised of a social robot, and various wearable and non-wearable sensors. Through the use of patient-reported outcome measures (PROMs), captured in conversation with the social robot, the subjective health status of the user is determined. This is supplemented by objective information gathered from wearable and non-wearable sensors used to measure numerous biosignals. By combining the subjective data obtained from interaction with the user and the objective data from the sensor network, a health report for both users and caregivers is generated. The data are visualized for the user and caregiver in a customizable and easily accessible health monitoring dashboard, which also warns the user and their caregivers when the data deviate from the expected values or ranges. The goal is to use this information to improve the quality of care, as changes in the user’s health status can be determined more quickly by themselves and their caregivers. The proposed system establishes a good base for further testing and optimization together with the user, to ensure a useful and appropriate combination of sensors and technological devices that the user is comfortable with.

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A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults

Cited by 23 publications

References 25 publications

Quality of Care Perceived by Older Patients and Caregivers in Integrated Care Pathways With Interviewing Assistance From a Social Robot: Noninferiority Randomized Controlled Trial

Quality of Care Perceived by Older Patients and Caregivers in Integrated Care Pathways With Interviewing Assistance From a Social Robot: Noninferiority Randomized Controlled Trial

Impact of the introduction of a verbal socially assistive robot on the relationship between older people and their caregivers in a nursing home

Promoting Autonomy in Care: Combining Sensor Technology and Social Robotics for Health Monitoring

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