Gas Emmision Testing of Fuel Based Vehicles at Banda Aceh, Indonesia

A gas emmision decent testing of vehicles based on fuel has been done by EIA (Environmental Impact and Analysis). It is important to do the testing to determine the vehicles meet the technical requirements and road-worthy. The results showed that for 1.572 vehicles which is performing emissions testing have obtained 11% that could be potentially pollute the air on vehicles that using gasoline, and 42% on vehicles that using diesel. Based on the total number of four-wheeled vehicles that performed emissions testing in the city of Banda Aceh showed that 82% environmentally friendly vehicles and 18% potentially pollute the air

The Use of Cremation Data for Timely Mortality Surveillance During the COVID-19 Pandemic in Ontario, Canada: Validation Study

Background: Early estimates of excess mortality are crucial for understanding the impact of COVID-19. However, there is a lag of several months in the reporting of vital statistics mortality data for many jurisdictions, including across Canada. In Ontario, a Canadian province, certification by a coroner is required before cremation can occur, creating real-time mortality data that encompasses the majority of deaths within the province. Objective: This study aimed to validate the use of cremation data as a timely surveillance tool for all-cause mortality during a public health emergency in a jurisdiction with delays in vital statistics data. Specifically, this study aimed to validate this surveillance tool by determining the stability, timeliness, and robustness of its real-time estimation of all-cause mortality. Methods: Cremation records from January 2020 until April 2021 were compared to the historical records from 2017 to 2019, grouped according to week, age, sex, and whether COVID-19 was the cause of death. Cremation data were compared to Ontario\u27s provisional vital statistics mortality data released by Statistics Canada. The 2020 and 2021 records were then compared to previous years (2017-2019) to determine whether there was excess mortality within various age groups and whether deaths attributed to COVID-19 accounted for the entirety of the excess mortality. Results: Between 2017 and 2019, cremations were performed for 67.4% (95% CI 67.3%-67.5%) of deaths. The proportion of cremated deaths remained stable throughout 2020, even within age and sex categories. Cremation records are 99% complete within 3 weeks of the date of death, which precedes the compilation of vital statistics data by several months. Consequently, during the first wave (from April to June 2020), cremation records detected a 16.9% increase (95% CI 14.6%-19.3%) in all-cause mortality, a finding that was confirmed several months later with cremation data. Conclusions: The percentage of Ontarians cremated and the completion of cremation data several months before vital statistics did not change meaningfully during the COVID-19 pandemic period, establishing that the pandemic did not significantly alter cremation practices. Cremation data can be used to accurately estimate all-cause mortality in near real-time, particularly when real-time mortality estimates are needed to inform policy decisions for public health measures. The accuracy of this excess mortality estimation was confirmed by comparing it with official vital statistics data. These findings demonstrate the utility of cremation data as a complementary data source for timely mortality information during public health emergencies

Physician-based availability of psychotherapy in Ontario : a population-based retrospective cohort study

BACKGROUND: Psychotherapy is recommended as a first-line treatment for the management of common psychiatric disorders. The objective of this study was to evaluate the availability of publicly funded psychotherapy provided by physicians in Ontario by describing primary care physicians (PCPs) and psychiatrists whose practices focus on psychotherapy and comparing them to PCPs and psychiatrists whose practices do not. METHODS: This was a population-based retrospective cohort study. We included all PCPs and psychiatrists in Ontario who submitted at least 1 billing claim to the Ontario Health Insurance Plan between Apr. 1, 2015, and Mar. 31, 2016, and categorized them as psychotherapists if at least 50% of their outpatient billings were related to the provision of psychotherapy. We measured practice characteristics such as total number of patients and new patients, and average visit frequency for 4 physician categories: PCP nonpsychotherapists, PCP psychotherapists, psychiatrist nonpsychotherapists and psychiatrist psychotherapists. We also measured access to care for people with urgent need for mental health services. RESULTS: Of 12 772 PCPs, 404 (3.2%) were PCP psychotherapists; of 2150 psychiatrists, 586 (27.3%) were psychotherapists. Primary care physician nonpsychotherapists had the highest number of patients and number of new patients, followed by psychiatrist nonpsychotherapists, PCP psychotherapists and psychiatrist psychotherapists. Primary care physician nonpsychotherapists had the lowest average annual number of visits per patient, whereas both types of psychotherapists had a much greater number of visits per patient. Primary care physician and psychiatrist nonpsychotherapists saw about 25% of patients with urgent needs for mental health services, whereas PCP and psychiatrist psychotherapists saw 1%-3% of these patients. INTERPRETATION: Physicians who provide publicly funded psychotherapy in Ontario see a small number of patients, and they see few of those with urgent need for mental health services. Our findings suggest that improving access to psychotherapy will require the development of alternative strategies

Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study

<p>Abstract</p> <p>Background</p> <p>Electronic medical records contain valuable clinical information not readily available elsewhere. Accordingly, they hold important potential for contributing to and enhancing chronic disease registries with the goal of improving chronic disease management; however a standard for diagnoses of conditions such as diabetes remains to be developed. The purpose of this study was to establish a validated electronic medical record definition for diabetes.</p> <p>Methods</p> <p>We constructed a retrospective cohort using health administrative data from the Institute for Clinical Evaluative Sciences Ontario Diabetes Database linked with electronic medical records from the Deliver Primary Healthcare Information Project using data from 1 April 2006 - 31 March 2008 (N = 19,443). We systematically examined eight definitions for diabetes diagnosis, both established and proposed.</p> <p>Results</p> <p>The definition that identified the highest number of patients with diabetes (N = 2,180) while limiting to those with the highest probability of having diabetes was: individuals with ≥2 abnormal plasma glucose tests, or diabetes on the problem list, or insulin prescription, or ≥2 oral anti-diabetic agents, or HbA1c ≥6.5%. Compared to the Ontario Diabetes Database, this definition identified 13% more patients while maintaining good sensitivity (75%) and specificity (98%).</p> <p>Conclusions</p> <p>This study establishes the feasibility of developing an electronic medical record standard definition of diabetes and validates an algorithm for use in this context. While the algorithm may need to be tailored to fit available data in different electronic medical records, it contributes to the establishment of validated disease registries with the goal of enhancing research, and enabling quality improvement in clinical care and patient self-management.</p

Translational Regulation of Utrophin by miRNAs

Background Utrophin is the autosomal homolog of dystrophin, the product of the Duchenne Muscular Dystrophy (DMD) locus. Its regulation is of therapeutic interest as its overexpression can compensate for dystrophin's absence in animal models of DMD. The tissue distribution and transcriptional regulation of utrophin have been characterized extensively, and more recently translational control mechanisms that may underlie its complex expression patterns have begun to be identified. Methodology/Principal Findings Using a variety of bioinformatic, molecular and cell biology techniques, we show that the muscle isoform utrophin-A is predominantly suppressed at the translational level in C2C12 myoblasts. The extent of translational inhibition is estimated to be ~99% in C2C12 cells and is mediated by both the 5′- and 3′-UTRs of the utrophin-A mRNA. In this study we identify five miRNAs (let-7c, miR-150, miR-196b, miR-296-5p, miR-133b) that mediate the repression, and confirm repression by the previously identified miR-206. We demonstrate that this translational repression can be overcome by blocking the actions of miRNAs, resulting in an increased level of utrophin protein in C2C12 cells. Conclusions/Significance The present study has identified key inhibitory mechanisms featuring miRNAs that regulate utrophin expression, and demonstrated that these mechanisms can be targeted to increase endogenous utrophin expression in cultured muscle cells. We suggest that miRNA-mediated inhibitory mechanisms could be targeted by methods similar to those described here as a novel strategy to increase utrophin expression as a therapy for DMD