Background Procedures and actions such as injections and immobilization cause distress to children. In the pediatric field, there is a need for interventions and support to alleviate the pain and distress caused by such medical procedures. In recent years, the introduction of robots as a means of distraction has begun to be attempted. Methods In this study, we conducted a non-randomized controlled trial to examine the effect of intervention using ‘aibo’, a dog-like robot which has artificial intelligence (AI), to promote distraction in children after vaccination. Children between the ages of 3 and 12 years old eligible for the Japanese encephalitis vaccine, and their caregivers were assigned to intervention group or control group. Then, children evaluated their pain and children’s behavior were observed by observer. The mean values of Faces pain rating scale scores and observer pain scale scores were compared between groups using an unpaired t-test. Results Fifty-seven children (32 in the intervention group) participated in the study. Results of a t-test with the control group showed that the intervention group using aibo had significantly less pain following the post-vaccination intervention than the control group using stuffed dog (Face Scale, t(55) = 2.582, p = .0125; Behavioral Observation Scale, t(55) = 2.772, p = .00759). The results support the hypothesis that the aibo intervention group will be less distressed and able to calm down more quickly after vaccination than the control group. Conclusion Interactive communicative play intervention by an artificially intelligent aibo before and after painful and frightening medical procedures may alleviate fear and anxiety and prevent medical trauma in children.
The study on robot-assisted therapy in a pediatric field has not been applied sufficiently in clinical settings. The purpose of this pilot study is to explore the potential therapeutic effects of a group robot intervention (GRI), using dog-like social robot (SR) ‘aibo’ in pediatric ward. GRI by aibo was conducted for those children with chronic illness (127 in total) who are hospitalized in National Centre for Child Health and Development (NCCHD), and their caregivers (116 in total), from March to April 2018. The observer made structured behavioural observation records, based on which qualitative research on the features of their words and conducts, were carried out. As a result, first, during the GRI, about 2/3 of total expression by children were positive, while about 1/4 were negative or inappropriate. On the other hand, as seen in the ‘change’ group, those children who had originally responded with negative expression eventually came to express positive expression, while getting involved in a ternary relationship or participating in a session more than once. Secondly, as for the expression from the caregivers during the GRI, active expressions such as ‘participation’ and ‘exploration’ accounted for the 2/3, while 1/3 turned out to be rather placid expressions such as ‘watch over’ or ‘encourage.’Conclusion: There has not been any precedent study on the features of words and conducts expressed by patients and their caregivers during the GRI by aibo. The outcome suggests that aibo could possibly be used as a tool for group robot-assisted therapy in the pediatric treatment setting. What is Known:• The study on robot-assisted therapy in a pediatric field has only just begun.• Though many kinds of social robot have been reportedly used so far, none has yet to be applied in clinical settings What is New:• Our study revealed the features of words and behaviour expressed by the patients and their caregivers, when dog-like social robot ‘aibo’ was used for a group robot intervention in the pediatric ward.• The outcome suggests that aibo could possibly be used as a tool for group robot-assisted therapy in the pediatric treatment setting.
It has not been established how to assess children’s and adolescents’ decision-making capacity (DMC) and there has been little discussion on the way their decision-making (DM). The purpose of this study was to examine actual situation and factors related to difficulties in explaining their disease to adolescent cancer patients or obtaining informed consent (IC). The cross-sectional questionnaire survey was conducted. Physicians who have been treating adolescent cancer patients for at least five years answered a self-administered questionnaire uniquely developed about clinical difficulties in explaining, IC and factors related patient’s refusal of medical treatment (RMT). Descriptive statistics for each item and a polychoric correlation analysis of the problems and factors related to the explanation were conducted. As a result, fifty-six physicians were participated (rate of return: 39%). Explaining the disease and treatment to patients (83.9%), IC to patients (80.4%), and explaining the disease and treatment to parents (78.6%) was particularly problematic. Difficulties to provide support related with patient’s refusal of medical treatment and to explain disease and treatment for patient and parents were related to difficulties obtaining IC for the patient. Conclusion: There are clinically difficult to explain for the patient or parents and to obtain IC for the patient. It is necessary to establish a disease acceptance assessment tool for the adolescence generation so that it can be applied in the field.
Background: Procedures and actions such as injections and immobilization cause distress to children. In the pediatric field, there is a need for interventions and support to alleviate the pain and distress caused by such medical procedures. In recent years, the introduction of robots as a means of distraction has begun to be attempted. Methods: In this study, we conducted a non-randomized controlled trial to examine the effect of intervention using ‘aibo’, a dog-like robot which has artificial intelligence (AI), to promote distraction in children after vaccination. Children between the ages of 3 and 12 years old eligible for the Japanese encephalitis vaccine, and their caregivers were assigned to intervention group or control group. Then, children evaluated their pain and children’s behavior were observed by observer. The mean values of Faces pain rating scale scores and observer pain scale scores were compared between groups using an unpaired t-test.Results: Fifty-seven children (32 in the intervention group) participated in the study. Results of a t-test with the control group showed that the intervention group using aibo had significantly less pain following the post-vaccination intervention than the control group using stuffed dog (Face Scale, t(55) = 2.582, p = .0125; Behavioral Observation Scale, t(55) = 2.772, p = .00759). The results support the hypothesis that the aibo intervention group will be less distressed and able to calm down more quickly after vaccination than the control group. Conclusion: Interactive communicative play intervention by an artificially intelligent aibo before and after painful and frightening medical procedures may alleviate fear and anxiety and prevent medical trauma in children.
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