Background: Indonesia faces serious challenges from a double burden disease caused by changes in people's lifestyles. Since 2010, Non-communicable diseases (NCDs) include hypertension, stroke, heart disease, and diabetes have taken up a growing share of health-care resources. The coronavirus disease epidemic of 2019 (COVID 19) caused by the new coronavirus SARS-CoV2 is the most serious global health issue. Patients with COVID-19 had more hypertension, diabetes, and other cardiovascular diseases, which all require routine health monitoring. Health monitoring will greatly develop along with the development of technology and information 4.0. This includes nursing services in the future that will take advantage of developments in information technology. Objective: This study aims to implement the healthy living community movement programs using Automatic Telehealth Machine (ATMs) as internet of things for health checking and education at Politeknik Kesehatan Kemenkes Palu. Methods: This research method is a quasi-experimental intervention research. The population of study were 167 employees of Poltekkes Kemenkes Palu. Sampling process used simple random sampling method with sample size consist of 96 people. The study revealed that majority of respondents were gender and aged, physical activity was generally good, and fruits intake was also good. The measuring instrument used are ATMs device and a questionnaire that has been tested for validity and reliability. Analysis of research data using univariate test (frequency distribution) and bivariate test (t test or alternatives) Results: The variables that were significantly related to systole were gender and age category (p = 0.03). The variables which were significantly related to diastole were gender (p = 0.02) and age category (p = 0.01). The results revealed that gender, age, physical activity and fruits intake was not associated with total cholesterol levels. Conclusions: Automatic Telehealth Machine (ATMs) can be implemented for health checking and education in healthy living community movement programs
Background Tube misplacement into the tracheobronchial tract is associated with pneumothorax in 0.5% of cases. NGT verification only detects the position of the tube at the end of the procedure. Therefore, a safe nasogastric tube (SNGT) was created to detect the NGT position in real time in a simple and inexpensive way. This study aimed to prove the effectiveness of the SNGT prototype in Macaca fascicularis. Result An SNGT producing 50% of the TV had 100% sensitivity and specificity in detecting the position of the tube at 100% of the TV, with a sensitivity of 100% and a specificity of 87.5%. There was a significant difference between the movement of the SNGT 50% TV and SNGT 100% TV airbags (p ≤ 0.05). However, there was no significant difference between the accuracy of placement of the 50% TV SNGT, 100% TV SNGT, and conventional NGT (p > 0.05). The pepsin enzyme had better sensitivity (100%) than pH paper (91.66%) in detecting the end-of-procedure tube position. This research has the potential to advance into human clinical trials. Conclusion SNGTs are highly effective in detecting the NGT position inside the respiratory and digestive tracts to prevent misplacement.
Background: Generally, insertion of a nasogastric tube (NGT) does not use imaging guidance. This procedure has a risk of malposition to the lungs from 0.3–15%. The NGT verification only detects the position of the tube in the end of procedure. Misplacement of NGT into the respiratory tract can result in damage to the lungs. Safety nasogastric tube (SNGT) has been created to detect the position of the tube in real-time, simple, and inexpensive. This study aims to prove the effectiveness of the SNGT prototype in Macaca fascicularis. Result: The SNGT with an airbag size of 50% of tidal volume (SNGT 50% TV) had 100% sensitivity and specificity in detecting the position of the tube. While the SNGT with an airbag size of 100% of TV (SNGT 100% TV) has sensitivity of 100% and specificity of 87.5%. There was significant difference between the movement of airbag of SNGT 50% TV and SNGT 100% TV (p ≤ 0.05). However, there was no significant difference between the accuracy of placement of 50% TV SNGT, 100% TV SNGT, and conventional NGT (p > 0.05). The pepsin enzyme has better sensitivity (100%) than pH paper (91.66%) in detecting the end position of tube. Conclusion: SNGT tube has high effectiveness in detecting the position of the tube inside of the respiratory and digestive tracts to prevent misplacement.
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