Background and Objectives: Thyroxine is important for brain development. Improper hypothyroid treatment may lead to cognitive and motor impairment, thereby affecting the quality of life. We analyzed the correlation between age at first treatment, length of treatment, initial levothyroxine (LT4) dose, and serum levels of free thyroxine (fT4) and thyroid stimulating hormone (TSH) and pediatric quality of life in patients with congenital hypothyroidism (CH). Materials and Methods: This research was a cross-sectional study of 41 children with CH who consumed LT4 for at least 3 months during March 2019-December 2019. The quality of life was assessed from parents’ reports using the Pediatric Quality of Life Inventory (PedsQL) generic scale. Spearman correlation analysis was carried out, and statistical significance was set at p＜0.05. Results: A total of 17 of the 41 children were girls. The mean PedsQL scores in physical and psychosocial functioning were 78.12 (68.75-100) and 233.30 (215-251.67), respectively. Age at first treatment was correlated with physical functioning (r=−0.501, p＜0.05) and psychosocial functioning (r=−0.440, p＜0.05). The initial LT4 dose was negatively correlated with physical functioning (r=−0.568, p＜0.05) and psychosocial functioning (r=−0.482, p＜0.05). The length of treatment showed a positive correlation with physical functioning (r=0.776, p＜0.05) and psychosocial functioning (r= −0.852, p＜0.05). However, the serum fT4 and TSH levels were not correlated with quality of life in children with CH (p＞0.05). Conclusion Age at first treatment, initial dose of LT4, and length of treatment were correlated with quality of life in children with CH.

Background: The most frequent congenital endocrine disorder in children is congenital hypothyroidism (CH). In Indonesia, CH’s prevalence is greater than the data currently available. However, CH newborn screening has only been carried out in a few locations across Indonesia. Therefore, there is a need to raise primary healthcare practitioners' understanding of the CH Screening Program. Materials and Methods: This study used a pre-posttest design to gauge the healthcare professionals' knowledge of newborn congenital hypothyroid screening. After intervention, a post-test was given. The categorical measures' descriptive statistical analysis results were presented as a mean, median, percentage (%), and frequency (n) distribution table. The improvement in healthcare professionals' understanding of newborn CH screening was evaluated using the Paired Samples test. The cutoff for statistical significance was p＜0.05 using SPSS version 20.0. Results: In our study, most of the participants were midwives with a total of 21/53 (39.62%) followed by nurses with 19/53 (35.83%). There was also an increase in the score where previously in the pretest only 1 person got a score above 80, then it increased to half of the participants, namely 49.06% (26/53) who got better scores. months and 37/54 (68.5%). With the Paired Sample test, we prove that there is a significant increase in the participants' scores, and the data obtained is p＜0.05, which means that there is an increase in the average data from the pretest to the post-test. Conclusion There was an improvement in pre-posttest knowledge of healthcare who had been given education about CH newborn screening.

Objectives: The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of this study was to assess the readiness of Indonesian teaching staff and pediatric residents for AI integration into the curriculum. Methods: An anonymous online survey was distributed among teaching staff and pediatric residents from 15 national universities. The questionnaire consisted of two sections: demographic information and questions regarding the use of IT and AI in child health education. Responses were collected using a 5-point Likert scale: strongly disagree, disagree, neutral, agree, and highly agree. Results: A total of 728 pediatric residents and 196 teaching staff from 15 national universities participated in the survey. Over half of the respondents were familiar with the terms IT and AI. The majority agreed that IT and AI have simplified the process of learning theories and skills. All participants were in favor of sharing data to facilitate the development of AI and expressed readiness to incorporate IT and AI into their teaching tools. Conclusions The findings of our study indicate that pediatric residents and teaching staff are ready to implement AI in medical education.

Objectives: The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of this study was to assess the readiness of Indonesian teaching staff and pediatric residents for AI integration into the curriculum. Methods: An anonymous online survey was distributed among teaching staff and pediatric residents from 15 national universities. The questionnaire consisted of two sections: demographic information and questions regarding the use of IT and AI in child health education. Responses were collected using a 5-point Likert scale: strongly disagree, disagree, neutral, agree, and highly agree. Results: A total of 728 pediatric residents and 196 teaching staff from 15 national universities participated in the survey. Over half of the respondents were familiar with the terms IT and AI. The majority agreed that IT and AI have simplified the process of learning theories and skills. All participants were in favor of sharing data to facilitate the development of AI and expressed readiness to incorporate IT and AI into their teaching tools. Conclusions The findings of our study indicate that pediatric residents and teaching staff are ready to implement AI in medical education.

Objectives: The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of this study was to assess the readiness of Indonesian teaching staff and pediatric residents for AI integration into the curriculum. Methods: An anonymous online survey was distributed among teaching staff and pediatric residents from 15 national universities. The questionnaire consisted of two sections: demographic information and questions regarding the use of IT and AI in child health education. Responses were collected using a 5-point Likert scale: strongly disagree, disagree, neutral, agree, and highly agree. Results: A total of 728 pediatric residents and 196 teaching staff from 15 national universities participated in the survey. Over half of the respondents were familiar with the terms IT and AI. The majority agreed that IT and AI have simplified the process of learning theories and skills. All participants were in favor of sharing data to facilitate the development of AI and expressed readiness to incorporate IT and AI into their teaching tools. Conclusions The findings of our study indicate that pediatric residents and teaching staff are ready to implement AI in medical education.

Objectives: The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of this study was to assess the readiness of Indonesian teaching staff and pediatric residents for AI integration into the curriculum. Methods: An anonymous online survey was distributed among teaching staff and pediatric residents from 15 national universities. The questionnaire consisted of two sections: demographic information and questions regarding the use of IT and AI in child health education. Responses were collected using a 5-point Likert scale: strongly disagree, disagree, neutral, agree, and highly agree. Results: A total of 728 pediatric residents and 196 teaching staff from 15 national universities participated in the survey. Over half of the respondents were familiar with the terms IT and AI. The majority agreed that IT and AI have simplified the process of learning theories and skills. All participants were in favor of sharing data to facilitate the development of AI and expressed readiness to incorporate IT and AI into their teaching tools. Conclusions The findings of our study indicate that pediatric residents and teaching staff are ready to implement AI in medical education.