Defining competencies in robotic thyroidectomy: development of a model assessing an expert operator's intraoperative performance skills and cognitive strategies.

Background: The changing medical education environment emphasizes the need for time efficiency, increasing the demand for competency-based medical education to improve trainees' learning strategies. This study was performed to determine the competencies required for successful performance of robotic thyroidectomy (RT) and to determine the consensus of experts for performance of RT. Methods: Data were collected through 12 semi-structured interviews with RT experts and 11 field observations. Cognitive task analysis was performed to determine the competencies required for experts to perform RT. A modified Delphi methodology was used to determine how 20 experts rated the importance of each item of RT performance on a Likert 7-point scale. The criteria for the Delphi consensus were set at a Cronbach's α≥0.80 with two survey rounds. Results: After 11 field observations and 12 semi-structured interviews, 89 items were identified within six modules. These items were grouped into sub-modules according to their theme. The modified Delphi survey, involving 21 experts, reached the consensus standard during the second round (Cronbach's α=0.954), enabling the identification of the 64 most important items within six modules related to RT performance: midline incision to isthmectomy (MID module; n=8), lateral dissection (LAT module; n=7), preservation of inferior parathyroid glands (INF module; n=16), preservation of recurrent laryngeal nerve and dissection of the ligament of Berry (BER module; n=21), dissection of the thyroid upper pole (SUP module; n=10), and specimen removal and closure (END module; n=2). Conclusions: This mixed-method study combining qualitative and quantitative methodology identified modules of core competencies required to perform RT. These modules can be used as a standard and objective guide to train surgeons to perform RT and evaluate outcomes.

Metaverse-based social skills training programme for children with autism spectrum disorder to improve social interaction ability: an open-label, single-centre, randomised controlled pilot trial.

Background: Autism spectrum disorder (ASD) is characterised by abnormalities in social interactions and restricted and repetitive behaviors. Children with high-functioning ASD (HFASD), lack social communication skills, do not interact with others, and lack peer relationships. We aimed to develop, and evaluate the feasibility of, a metaverse-based programme to enhance the social skills of children with HFASD. Methods: This open-label, single-centre, pilot parallel randomised controlled trial (RCT) was conducted on boys aged 7-12 years with HFASD. Children were recruited from a treatment centre for children with HFASD in Korea or by self-referral through online community webpages for the parents of children with HFASD. Participants were randomly assigned (1:1) by a blinded researcher to receive either four weeks of a metaverse-based social skills training programme or a control group. Randomisation was stratified by age (children aged 7-9 and 10-12 years) using permuted blocks (block size 4). The metaverse-based social skills training programme was delivered via the metaverse platforms (Roblox) and Zoom. Children in the intervention group completed the metaverse-based social skills training programme at home for four weeks. The intervention consisted of four sessions, one session per week, for 60 min each. The control group did not receive any interventions. The primary outcome measure was the median change in the Social Responsiveness Scale-2 (SRS-2) scores from pre-to post-intervention. SRS-2 is an assessment tool used to confirm the effectiveness of social interactions. Higher scores indicate lower social functioning. The trial is registered with CRIS Registration Number; KCT0006859. Findings: Between February 14, 2022, and March 31, 2022, 20 participants were enrolled. Overall, 15 children (median [Interquartile range (IQR)] age, intervention group: 9.0 [8.0-10.0]; control group: 8.5 [8.0-10.0]) participated in the programme. The intervention group included nine participants (60%), and the control group included six participants (40%). The SRS-2 total scores for the intervention group decreased from baseline 96.0 (IQR: 74.0-112.0) to post-intervention 85.0 (IQR: 84.0-103.0). The group median difference in SRS-2 scores between the intervention and control groups was 11.5 (95% CI: 8.5-14.0), with a further reduction in the intervention group. Similar trends were seen for social cognition (group median difference, 95% CI: 2.0, 1.0-4.0), social communication (group median difference, 95% CI: 2.0, 1.0-4.0), and autistic mannerism (group median difference, 95% CI: 4.0, 1.0-5.0). There were no adverse events related to study participation. Interpretation: The findings of this feasibility study suggest that children with HFASD can potentially be familiarised, through metaverse-based programmes, with real-life social situations to improve sociality and reduce emotional and behavioural problems. Such interventions could be delivered at home and possibly be extended to target groups that have difficulty in interacting with peers offline. Funding: The Institute of Information & Communications Technology Planning & Evaluation grant, via the Ministry of Science and ICT of the South Korean Government.

Correction: Development and Application of a Metaverse-Based Social Skills Training Program for Children With Autism Spectrum Disorder to Improve Social Interaction: Protocol for a Randomized Controlled Trial.

[This corrects the article DOI: 10.2196/35960.].

Development and Application of a Metaverse-Based Social Skills Training Program for Children With Autism Spectrum Disorder to Improve Social Interaction: Protocol for a Randomized Controlled Trial.

BACKGROUND: Autism spectrum disorder (ASD) is characterized by abnormalities in social communication and limited and repetitive behavioral patterns. Children with ASD who lack social communication skills will eventually not interact with others and will lack peer relationships when compared to ordinary people. Thus, it is necessary to develop a program to improve social communication abilities using digital technology in people with ASD. OBJECTIVE: We intend to develop and apply a metaverse-based child social skills training program aimed at improving the social interaction abilities of children with ASD aged 7-12 years. We plan to compare and analyze the biometric information collected through wearable devices when applying the metaverse-based social skills training program to evaluate emotional changes in children with ASD in stressful situations. METHODS: This parallel randomized controlled study will be conducted on children aged 7-12 years diagnosed with ASD. A metaverse-based social skills training program using digital technology will be administered to children who voluntarily wish to participate in the research with consent from their legal guardians. The treatment group will participate in the metaverse-based social skills training program developed by this research team once a week for 60 minutes per session for 4 weeks. The control group will not intervene during the experiment. The treatment group will use wearable devices during the experiment to collect real-time biometric information. RESULTS: The study is expected to recruit and enroll participants in March 2022. After registering the participants, the study will be conducted from March 2022 to May 2022. This research will be jointly conducted by Yonsei University and Dobrain Co Ltd. Children participating in the program will use the internet-based platform. CONCLUSIONS: The metaverse-based Program for the Education and Enrichment of Relational Skills (PEERS) will be effective in improving the social skills of children with ASD, similar to the offline PEERS program. The metaverse-based PEERS program offers excellent accessibility and is inexpensive because it can be administered at home; thus, it is expected to be effective in many children with ASD. If a method can be applied to detect children's emotional changes early using biometric information collected through wearable devices, then emotional changes such as anxiety and anger can be alleviated in advance, thus reducing issues in children with ASD. TRIAL REGISTRATION: Clinical Research Information Service KCT0006859; https://tinyurl.com/4r3k7cmj. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/35960.

Predicting Functional Outcome Based on Linked Data After Acute Ischemic Stroke: S-SMART Score.

Prediction of outcome after stroke may help clinicians provide effective management and plan long-term care. We aimed to develop and validate a score for predicting good functional outcome available for hospitals after ischemic stroke using linked data. A total of 22,005 patients with acute ischemic stroke from the Clinical Research Center for Stroke Registry between July 2007 and December 2014 were included in the derivation group. We assessed functional outcomes using a modified Rankin scale (mRS) score at 3 months after ischemic stroke. We identified predictors related to good 3-month outcome (mRS score ≤ 2) and developed a score. External validations (geographic and temporal validations) of the developed model were performed. The prediction model performance was assessed using the area under the receiver operating characteristic curve (AUC) and the calibration test. Stroke severity, sex, stroke mechanism, age, pre-stroke mRS, and thrombolysis/thrombectomy treatment were identified as predictors for 3-month good functional outcomes in the S-SMART score (total 34 points). Patients with higher S-SMART scores had an increased likelihood of a good outcome. The AUC of the prediction score was 0.805 (0.798-0.811) in the derivation group and 0.812 (0.795-0.830) in the geographic validation group for good functional outcome. The AUC of the model was 0.812 (0.771-0.854) for the temporal validation group. Moreover, they had good calibration. The S-SMART score is a valid and useful tool to predict good functional outcome following ischemic stroke. This prediction model may assist in the estimation of outcomes to determine care plans after stroke.

Cerclage is associated with the increased risk of preterm birth in women who had cervical conization.

BACKGROUND: The aim of this study was to determine the effect of cerclage in women who underwent cervical conization. METHODS: Study data were collected from the Korea National Health Insurance Claims Database of the Health Insurance Review and Assessment Service for 2009-2013. Women who had a conization in 2009 and a subsequent first delivery between 2009 and 2013 in Korea were enrolled. RESULTS: Among the women who had conization in 2009, 1075 women had their first delivery between 2009 and 2013. A cerclage was placed in 161 of the women who were treated by conization. The rate of preterm birth was higher in the women who were treated with cerclage following a conization compared with those without cerclage (10.56 vs 4.27, p < 0.01, respectively). The multivariate regression analysis revealed that the women who were treated cerclage following a conization had an increased risk of preterm delivery compared with women without cerclage (odds ratio (OR), 2.6, 95% confidence interval (CI), 1.4-4.9). CONCLUSION: Our study showed that cerclage associated with an increased risk of preterm birth and preterm premature rupture of membranes in women who underwent conization. Further studies are required to clarify the mechanism by which cerclage affects the risk of preterm birth.

Incidence, Risk Factors, and Clinical Characteristics of Peripartum Cardiomyopathy in South Korea.

BACKGROUND: Peripartum cardiomyopathy (PPCM) is a rare disorder associated with pregnancy that can lead to life-threatening conditions. The incidence and clinical characteristics of this condition remain poorly understood. METHODS AND RESULTS: We aimed to perform the first population-based study of PPCM in South Korea, using the Korea National Health Insurance Claims Database of the Health Insurance Review and Assessment Service. Patients who fulfilled predefined diagnostic criteria for PPCM from January 1, 2010, to December 31, 2012, were identified from International Classification of Diseases, Tenth Revision, Clinical Modification codes. To discriminate PPCM from other causes of heart failure, we excluded subjects who already had heart failure-related International Classification of Diseases, Tenth Revision, Clinical Modification codes at least 1 year before delivery. During the study period, there were 1 404 551 deliveries in South Korea, and we excluded 20 159 patients who already had heart failure. In those, a total of 795 cases were identified as PPCM. Patients with PPCM were older, had a higher prevalence of preeclampsia and gestational diabetes mellitus, and were more likely to be primiparous and have multiple pregnancies. Moreover, cesarean section and pregnancy-related complications and in-hospital death were also more common in patients with PPCM. Intriguingly, a considerable number of heart failure cases (n=64; 8.1% of total PPCM) were noted between 5 and 12 months after delivery. CONCLUSIONS: The incidence of PPCM was 1 in 1741 deliveries in South Korea. Patients with PPCM were older, were more associated with primiparity and multiple pregnancy, had more pregnancy-related complications, and revealed higher in-hospital mortality than controls. The number of cases diagnosed as PPCM were decreased over time after delivery; however, a large number of patients were still noted through 12 months after delivery.

Preeclampsia Increases the Incidence of Postpartum Cerebrovascular Disease in Korean Population.

BACKGROUND: Multiple studies have been reported regarding preeclampsia as a possible risk factor of cerebrovascular disease (CVD). However, the correlation of preeclampsia and CVD, whether it is a cause-effect relationship or they are sharing common predisposing condition, is not well understood. Therefore, the aim of this study was to investigate the association between the preeclampsia during pregnancy and development of postpartum CVD. METHODS: A total of 1,384,550 Korean women who had a delivery between January 1, 2010 and December 31, 2012, were enrolled. Women with the risk of CVD within 1 year prior to pregnancy were excluded based on the Charlson comorbidity index. Primary endpoint was the event of CVD within a year from delivery. After exclusion, 1,075,061 women were analyzed. RESULTS: During the follow-up of 1 year postpartum, there were 25,577 preeclampsia out of 1,072,041 women without postpartum CVD (2.39%), and 121 of 3,020 women with postpartum CVD had preeclampsia before delivery (4.01%). In multivariate logistic regression analysis, women who had preeclampsia during pregnancy showed a higher risk for postpartum CVD (odds ratio, 1.64; 95% confidence interval, 1.37-1.98). CONCLUSION: The incidence of CVD after delivery was higher in women who had preeclampsia during pregnancy.

Obstetric risk factors for depression during the postpartum period in South Korea: a nationwide study.

OBJECTIVE: Postpartum depression is related to many adverse effects in both mothers and their children; therefore, proper screening and early interventions are needed. This study aims to identify the risk factors of postpartum depression. Our primary focus is on obstetric risk factors. METHODS: This study is a cross-sectional study which we extracted the data of women who gave birth between January 1st, 2010 and December 31st, 2012 from the Health Insurance Review and Assessment service (HIRA) database. We analyzed the data using multivariable logistic regression models. RESULTS: A total of 17,483 (1.4%) women suffered from depression during the postpartum period. Younger (<20years) and advanced maternal age (≥35years), primiparity, previous depression, peripartum hysterectomy, uterine artery embolization, preterm delivery, placental abruption, cesarean delivery, induced labor, and preeclampsia were found to increase the likelihood of having depression after delivery. CONCLUSIONS: Our findings suggest that there are several risk factors that lead women to postpartum depression. Therefore, early detection and well-management of the symptoms and risk factors for postpartum depression along with social support can help both physical and psychological conditions of women after childbirth.

Previous uterine artery embolization increases the rate of repeat embolization in a subsequent pregnancy.

This study aimed to determine the rate of repeat uterine artery embolization (UAE) in women with a previous UAE. Study data were collected from the Korea National Health Insurance Claims Database of the Health Insurance Review and Assessment Service for 2009-2013. We enrolled women who had a first delivery in 2009 and a second delivery between 2010 and 2013. Among 226,408 women who had a first delivery in 2009, 296 underwent UAE. A total of 127,506 women had a second delivery between 2010 and 2013. Of 296 women who underwent UAE after the first delivery, 94 had a second delivery between 2010 and 2013. Women with a previous UAE had a higher rate of UAE at the second delivery than women without a previous UAE. Multivariate adjusted analysis showed that a UAE at the first delivery increased the rate of UAE at the second delivery (odds ratio 25.56, 95% confidence interval 9.86-66.23). Women with a previous UAE should be appropriately counseled and monitored for the need for a repeat UAE.