Margaret J Trost1,2, Adam R Ford1, Lynn Kysh1,2, Jeffrey I Gold1,2, Maja Matarić3. 1. Departments of Anesthesiology, Pediatrics, and Psychiatry & Behavioral Sciences, University of Southern California, Keck School of Medicine. 2. Children's Hospital Los Angeles. 3. University of Southern California, Viterbi School of Engineering, Los Angeles, CA.
Abstract
OBJECTIVES: Interacting with socially assistive robots (SAR) has been shown to influence human behaviors and emotions. This study sought to review the literature on SAR intervention for reducing pediatric distress and pain in medical settings. METHODS: Databases (PubMed, Cochrane Library, CINAHL, PsycINFO, ERIC, Web of Science, Engineering Village, Scopus, Google Scholar, IEEE Xplore) were searched from database inception to January 2018 with the aid of a medical librarian. Included studies examined any SAR intervention for reducing pain or improving emotional well-being in children related to physical or psychiatric care, with outcomes assessed by some quantitative measure. Study quality was assessed using the modified Downs and Black checklist (max. score, 28). The review is registered in PROSPERO (CRD42016043018). RESULTS: Eight studies met the eligibility criteria and represented 206 children. Of the 2 studies using Wong-Baker's FACES scale, 1 study claimed to be effective at reducing pain (Cohen d=0.49 to 0.62), while the other appeared effective only when parents and child interacted with SAR together. Distress was evaluated using validated measures in 4 studies, 3 of which showed reduction in distress while one showed no difference. Satisfaction surveys from 4 studies showed that children were interested in using SAR again. Quality scores ranged from 8 to 26. CONCLUSIONS: There is limited evidence suggesting that SAR interventions may reduce distress and no clear evidence showing reduction in pain for children in medical settings. Engineers are conducting interventions using SAR in pediatric populations. Health care providers should be engaged in technology research related to children to facilitate testing and improve the effectiveness of these systems.
OBJECTIVES: Interacting with socially assistive robots (SAR) has been shown to influence human behaviors and emotions. This study sought to review the literature on SAR intervention for reducing pediatric distress and pain in medical settings. METHODS: Databases (PubMed, Cochrane Library, CINAHL, PsycINFO, ERIC, Web of Science, Engineering Village, Scopus, Google Scholar, IEEE Xplore) were searched from database inception to January 2018 with the aid of a medical librarian. Included studies examined any SAR intervention for reducing pain or improving emotional well-being in children related to physical or psychiatric care, with outcomes assessed by some quantitative measure. Study quality was assessed using the modified Downs and Black checklist (max. score, 28). The review is registered in PROSPERO (CRD42016043018). RESULTS: Eight studies met the eligibility criteria and represented 206 children. Of the 2 studies using Wong-Baker's FACES scale, 1 study claimed to be effective at reducing pain (Cohen d=0.49 to 0.62), while the other appeared effective only when parents and child interacted with SAR together. Distress was evaluated using validated measures in 4 studies, 3 of which showed reduction in distress while one showed no difference. Satisfaction surveys from 4 studies showed that children were interested in using SAR again. Quality scores ranged from 8 to 26. CONCLUSIONS: There is limited evidence suggesting that SAR interventions may reduce distress and no clear evidence showing reduction in pain for children in medical settings. Engineers are conducting interventions using SAR in pediatric populations. Health care providers should be engaged in technology research related to children to facilitate testing and improve the effectiveness of these systems.
Authors: Janet E Rennick; C Celeste Johnston; Geoffrey Dougherty; Robert Platt; Judith A Ritchie Journal: J Dev Behav Pediatr Date: 2002-06 Impact factor: 2.225
Authors: Silvia Rossi; Silvano Junior Santini; Daniela Di Genova; Gianpaolo Maggi; Alberto Verrotti; Giovanni Farello; Roberta Romualdi; Anna Alisi; Alberto Eugenio Tozzi; Clara Balsano Journal: J Med Internet Res Date: 2022-01-13 Impact factor: 5.428