The inverse association between obesity and education level has been demonstrated in many developed countries; however, few studies have investigated obesity in geriatric populations. This cross-sectional analysis explored the association between geriatric obesity and education level, along with other demographic characteristics in Taipei, Taiwan between 2013 and 2015. Taipei citizens ≥ 65 years (aborigines ≥ 55 years) were recruited to participate in the elderly health examination programme. Logistic regression was applied to analyse the relationship between obesity (defined as body mass index ≥ 27 kg/m2 in Taiwan) and education level among men and women after controlling for age, race, income status, and smoking status. A total of 28,092 men and 31,835 women were included in the final analysis. Compared to those with education years ≥ 16, older men and women with education years ≤ 12 had higher odds of being obese. The odds ratios increase as years of education decrease, and the trend is more pronounced among women. Aborigines had much higher chances of being obese among men and women, while there were no differences by income status. The results clarified the factors related to obesity in the elderly, and will be useful for authorities working to improve health outcomes among this population.
We evaluated the effectiveness of a home telehealth service in hypertension control. Patients with hypertension were divided into two groups based on the frequency that they measured blood pressure (BP) at home: the regular group made >3 measurements per week and the irregular group made ≤ 20 measurements per month. Both groups were provided with home monitoring equipment (the Citizen Telemedical Care Service System, CTCS) which contained a computer and video communication device. A total of 160 participants were enrolled and 156 completed the 12-month study. There were 101 participants in the regular BP measurement group and 55 in the irregular group. There was a significant reduction in the average systolic BP from baseline after 6 months in the regular group (P < 0.001) and after 1 month in the irregular group (P < 0.001). There was no difference in average diastolic BP between the two groups. For both groups, the systolic BP control was good, especially for irregular group. The results suggest that patients who used CTCS tele-monitoring achieved better BP control than those who self-measured BP at home only.
This study aimed to identify knowledge gaps regarding coronavirus disease 2019 (COVID-19) and develop an integrated educational program for healthcare workers. First, we designed and validated ten multiple-choice questions to identify knowledge gaps among healthcare workers. Within one month of the online test and curriculum offering, 5533 staff had completed the test, with a completion rate of 84.97%. There were 2618 healthcare workers who answered the pre-test 100% correctly. Those who did not answer the pre-test 100% correctly took multiple tests after learning through the online teaching materials. Eventually, 5214 staff passed the test (pre-test or post-test with 100% correct answers). The result showed that all staff had a low correct rate for personal protective equipment (PPE) use recommendations. The Infection Control Center conducted training sessions for hospital staff on how to wear protective clothing. Information on the selection and use of PPE for infection prevention was provided, and participants were allowed time to practice and familiarize themselves with the correct way to wear PPE. Moreover, the Department of Education and Research continued updating the online learning materials based on the most important updated peer-reviewed published articles. The attending teaching physicians helped to search, translate, and take notes on articles in the local language (traditional Chinese) for other colleagues to read easily. We expect to increase learning opportunities for healthcare workers, even during uncertain times such as the current coronavirus pandemic through (1) the hospital-wide course announcements, (2) the continuous placement of test questions and learning files on the digital learning platform, (3) the placement of journal highlights in cloud folders, and (4) the use of the digital learning platform on mobile phones accessible outside the hospital.
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