The lingual ectopic thyroid is a sporadic case. Based on the medical records of Dr. Soetomo General Academic Hospital, Surabaya, they only found one case of ectopic thyroid at least in the last ten years. There is no consensus in the literature about the best therapeutic strategy in managing ectopic thyroid. A 20-year-old female patient with a diagnosis of ectopic lingual thyroid. She has complained of lumps at the base of her tongue since she was ten years old. She performed a partial excision of the tumor with a transoral approach. Partial excision of the lingual ectopic thyroid results in an airway free from obstruction, leaving the rest of the thyroid tissue functioning so that the patient does not require lifelong hormone treatment but has the potential for hypertrophy to recur. The transoral approach provides post-operative results that maintain aesthetic function and reduce morbidity and hospitalization. Partial excision of lingual ectopic thyroid gives good results.

BACKGROUND: Disparities in COVID-19 information and vaccine access have emerged during the pandemic. Individuals from historically excluded communities (eg, Black and Latin American) experience disproportionately negative health outcomes related to COVID-19. Community gaps in COVID-19 education, social, and health care services (including vaccines) should be prioritized as a critical effort to end the pandemic. Misinformation created by the politicization of COVID-19 and related public health measures has magnified the pandemic\'s challenges, including access to health care, vaccination and testing efforts, as well as personal protective equipment. Information and Communication Technology (ICT) has been demonstrated to reduce the gaps of marginalization in education and access among communities. Chatbots are an increasingly present example of ICTs, particularly in health care and in relation to the COVID-19 pandemic.
OBJECTIVE: This project aimed to (1) follow an inclusive and theoretically driven design process to develop and test a COVID-19 information ICT bilingual (English and Spanish) chatbot tool named \"Ana\" and (2) characterize and evaluate user experiences of these innovative technologies.
METHODS: Ana was developed following a multitheoretical framework, and the project team was comprised of public health experts, behavioral scientists, community members, and medical team. A total of 7 iterations of ß chatbots were tested, and a total of 22 ß testers participated in this process. Content was curated primarily to provide users with factual answers to common questions about COVID-19. To ensure relevance of the content, topics were driven by community concerns and questions, as ascertained through research. Ana\'s repository of educational content was based on national and international organizations as well as interdisciplinary experts. In the context of this development and pilot project, we identified an evaluation framework to explore reach, engagement, and satisfaction.
RESULTS: A total of 626 community members used Ana from August 2021 to March 2022. Among those participants, 346 used the English version, with an average of 43 users per month; and 280 participants used the Spanish version, with an average of 40 users monthly. Across all users, 63.87% (n=221) of English users and 22.14% (n=62) of Spanish users returned to use Ana at least once; 18.49% (n=64) among the English version users and 18.57% (n=52) among the Spanish version users reported their ranking. Positive ranking comprised the \"smiley\" and \"loved\" emojis, and negative ranking comprised the \"neutral,\" \"sad,\" and \"mad\" emojis. When comparing negative and positive experiences, the latter was higher across Ana\'s platforms (English: n=41, 64.06%; Spanish: n=41, 77.35%) versus the former (English: n=23, 35.93%; Spanish: n=12, 22.64%).
CONCLUSIONS: This pilot project demonstrated the feasibility and capacity of an innovative ICT to share COVID-19 information within diverse communities. Creating a chatbot like Ana with bilingual content contributed to an equitable approach to address the lack of accessible COVID-19-related information.

Increasing life expectancy, concepts of patient well-being, and the multiplicity of needs of the geriatric population, demand contribution, and collaboration of physicians, dentists, psychologists, pharmacists, and other allied health disciplines, to provide quality care to patients. Interprofessional education (IPE) is an approach to education that improves collaboration among health professionals and it can aid in better management of geriatric patients. Communication and cooperation affect health care performance and hence, influence patient outcomes. Currently, each of the disciplines mentioned has customized undergraduate and/or postgraduate training in geriatric care. Though a uni-disciplinary educational approach increases knowledge and skills of individual professions separately, IPE offers significant advantages. IPE seeks to have students learning together, as well as from each other to develop exemplary collaborative practice. The World Health Organization (WHO) has proposed that IPE will ensure optimum health care. However, IPE is yet to find its proper place in dental education. It would help dental students to develop a positive attitude toward geriatric patients and increase their empathy and efficiency in the management of these patients. This manuscript seeks to highlight the concept of interprofessional education (IPE) in gerodontology and develop recommendations for implementation of IPE in India.

Public health interventions are often implemented at large scale, and their evaluation seems to be difficult because they are usually multiple and their pathways to effect are complex and subject to modification by contextual factors. We assessed whether controlling for rainfall-related variables altered estimates of the efficacy of a health programme in rural Rwanda and have a quantifiable effect on an intervention evaluation outcomes.
We conducted a retrospective quasi-experimental study using previously collected cross-sectional data from the 2005 and 2010 Rwanda Demographic and Health Surveys (DHS), 2010 DHS oversampled data, monthly rainfall data collected from meteorological stations over the same period, and modelled output of long-term rainfall averages, soil moisture, and rain water run-off. Difference-in-difference models were used.
Rainfall factors confounded the PIH intervention impact evaluation. When we adjusted our estimates of programme effect by controlling for a variety of rainfall variables, several effectiveness estimates changed by 10% or more. The analyses that did not adjust for rainfall-related variables underestimated the intervention effect on the prevalence of ARI by 14.3%, fever by 52.4% and stunting by 10.2%. Conversely, the unadjusted analysis overestimated the intervention\'s effect on diarrhoea by 56.5% and wasting by 80%.
Rainfall-related patterns have a quantifiable effect on programme evaluation results and highlighted the importance and complexity of controlling for contextual factors in quasi-experimental design evaluations.

To investigate return to play (RTP) and functional performance after anterior cruciate ligament reconstruction (ACLR) in National Basketball Association (NBA) players and to perform a systematic review of the literature to understand RTP after ACLR in professional basketball.
NBA players undergoing ACLR between 2008 and 2014 by two surgeons were identified. RTP and performance were assessed based on a review of publically available statistics. A systematic review of the literature was performed using the MEDLINE database. Inclusion criteria were: English language, ACL surgery outcome, professional basketball and RTP outcome. We reviewed studies for RTP rates and RTP performance.
Our study included 12 professional basketball players with NBA level experience. Eleven of the 12 players returned to their prior level of play. Eight of the 9 (88.9%) players actively playing in the NBA returned to play in the NBA at a mean 9.8 months. Among players returning to NBA play, during RTP season 1, mean per game statistics decreased for the following: minutes, points, rebounds, assists, steals, blocks, turnovers and personal fouls - none of these changes reached statistical significance. Player efficiency ratings significantly declined from pre-injury (12.5) to the first RTP season (7.6) (p = 0.05). By RTP season 2, player performance metrics approximated pre-injury levels and were not significantly different. Six studies met inclusion criteria; reported RTP rates ranged from 78-86%. Identified studies similarly found a decline in functional performance after RTP.
There is a high rate (89%) of return to NBA play for NBA players undergoing ACLR. After RTP, however, there is a quantitative decline in initial season 1 RTP statistics with a significant decrease in player efficiency rating. By RTP season 2, performance metrics demonstrated an improvement compared to RTP season 1 but did not reach pre-injury functional performance, though performance metrics are not significantly different between pre-injury and RTP season 2.