Blake Thomson
University of Washington
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JAMA | 2014
Marie Ng; Michael K. Freeman; Thomas D. Fleming; Margaret Robinson; Laura Dwyer-Lindgren; Blake Thomson; Alexandra Wollum; Ella Sanman; Sarah Wulf; Alan D. Lopez; Christopher J L Murray; Emmanuela Gakidou
IMPORTANCE Tobacco is a leading global disease risk factor. Understanding national trends in prevalence and consumption is critical for prioritizing action and evaluating tobacco control progress. OBJECTIVE To estimate the prevalence of daily smoking by age and sex and the number of cigarettes per smoker per day for 187 countries from 1980 to 2012. DESIGN Nationally representative sources that measured tobacco use (n = 2102 country-years of data) were systematically identified. Survey data that did not report daily tobacco smoking were adjusted using the average relationship between different definitions. Age-sex-country-year observations (n = 38,315) were synthesized using spatial-temporal gaussian process regression to model prevalence estimates by age, sex, country, and year. Data on consumption of cigarettes were used to generate estimates of cigarettes per smoker per day. MAIN OUTCOMES AND MEASURES Modeled age-standardized prevalence of daily tobacco smoking by age, sex, country, and year; cigarettes per smoker per day by country and year. RESULTS Global modeled age-standardized prevalence of daily tobacco smoking in the population older than 15 years decreased from 41.2% (95% uncertainty interval [UI], 40.0%-42.6%) in 1980 to 31.1% (95% UI, 30.2%-32.0%; P < .001) in 2012 for men and from 10.6% (95% UI, 10.2%-11.1%) to 6.2% (95% UI, 6.0%-6.4%; P < .001) for women. Global modeled prevalence declined at a faster rate from 1996 to 2006 (mean annualized rate of decline, 1.7%; 95% UI, 1.5%-1.9%) compared with the subsequent period (mean annualized rate of decline, 0.9%; 95% UI, 0.5%-1.3%; P = .003). Despite the decline in modeled prevalence, the number of daily smokers increased from 721 million (95% UI, 700 million-742 million) in 1980 to 967 million (95% UI, 944 million-989 million; P < .001) in 2012. Modeled prevalence rates exhibited substantial variation across age, sex, and countries, with rates below 5% for women in some African countries to more than 55% for men in Timor-Leste and Indonesia. The number of cigarettes per smoker per day also varied widely across countries and was not correlated with modeled prevalence. CONCLUSIONS AND RELEVANCE Since 1980, large reductions in the estimated prevalence of daily smoking were observed at the global level for both men and women, but because of population growth, the number of smokers increased significantly. As tobacco remains a threat to the health of the worlds population, intensified efforts to control its use are needed.
human factors in computing systems | 2009
Michael Toomim; Steven M. Drucker; Mira Dontcheva; Ali Rahimi; Blake Thomson; James A. Landay
We present reform, a step toward write-once apply-anywhere user interface enhancements. The reform system envisions roles for both programmers and end users in enhancing existing websites to support new goals. First, a programmer authors a traditional mashup or browser extension, but they do not write a web scraper. Instead they use reform, which allows novice end users to attach the enhancement to their favorite sites with a scraping by-example interface. reform makes enhancements easier to program while also carrying the benefit that end users can apply the enhancements to any number of new websites. We present reforms architecture, user interface, interactive by-example extraction algorithm for novices, and evaluation, along with five example reform enabled enhancements.
PLOS ONE | 2016
Rose Gabert; Blake Thomson; Emmanuela Gakidou; Gregory A. Roth
Background Increasing attention is being paid to the marked disparities in diabetes prevalence and health outcomes in the United States. There is a need to identify the small-area geographic variation in diabetes risk and related outcomes, a task that current health surveillance methods, which often rely on a self-reported diagnosis of diabetes, are not detailed enough to achieve. Broad adoption of electronic health records (EHR) and routine centralized reporting of patient-level data offers a new way to examine diabetes risk and highlight hotspots for intervention. Methods and Findings We examined small-area geographic variation in hemoglobin A1c (HgbA1C) levels in three counties though a retrospective observational analysis of the complete population of diabetic patients receiving at least two ambulatory care visits for diabetes in three counties (two urban, one rural) in Minnesota in 2013, with clinical performance measures re-aggregated to patient home zip code area. Patient level performance measures included HgbA1c, blood pressure, low-density lipoprotein cholesterol and smoking. Diabetes care was provided to 63,053 patients out of a total population of 1.48 million people aged 18–74. Within each zip code area, on average 4.1% of the population received care for diabetes. There was significant and largely consistent geographic variation in the proportion of patients within their zip code area of residence attaining HgbA1C <8.0%, ranging from 59–90% of patients within each zip code area (interquartile range (IQR) 72.0%-78.1%). Attainment of performance measures for a zip code area were correlated with household income, educational attainment and insurance coverage for the same zip code area (all p < .001). Conclusions We identified small geographic areas with the least effective control of diabetes. Centrally-aggregated EHR provides a new means of identifying and targeting at-risk neighborhoods for community-based interventions.
Heart | 2018
Herbert C. Duber; Claire R. McNellan; Alexandra Wollum; Bryan Phillips; Kate Allen; Jonathan Brown; Miranda Bryant; R B Guptam; Yichong Li; Piyusha Majumdar; Gregory A. Roth; Blake Thomson; Shelley Wilson; Alexander Woldeab; Maigeng Zhou; Marie Ng
Objective To inform interventions targeted towards reducing mortality from acute myocardial infarction (AMI) and sudden cardiac arrest in three megacities in China and India, a baseline assessment of public knowledge, attitudes and practices was performed. Methods A household survey, supplemented by focus group and individual interviews, was used to assess public understanding of cardiovascular disease (CVD) risk factors, AMI symptoms, cardiopulmonary resuscitation (CPR) and automated external defibrillators (AEDs). Additionally, information was collected on emergency service utilisation and associated barriers to care. Results 5456 household surveys were completed. Hypertension was most commonly recognised among CVD risk factors in Beijing and Shanghai (68% and 67%, respectively), while behavioural risk factors were most commonly identified in Bangalore (smoking 91%; excessive alcohol consumption 64%). Chest pain/discomfort was reported by at least 60% of respondents in all cities as a symptom of AMI, but 21% of individuals in Bangalore could not name a single symptom. In Beijing, Shanghai and Bangalore, 26%, 15% and 3% of respondents were trained in CPR, respectively. Less than one-quarter of participants in all cities recognised an AED. Finally, emergency service utilisation rates were low, and many individuals expressed concern about the quality of prehospital care. Conclusions Overall, we found low to modest knowledge of CVD risk factors and AMI symptoms, infrequent CPR training and little understanding of AEDs. Interventions will need to focus on basic principles of CVD and its complications in order for patients to receive timely and appropriate care for acute cardiac events.
BMC Health Services Research | 2017
Rose Gabert; Marie Ng; Ruchi Sogarwal; Miranda Bryant; R. V. Deepu; Claire R. McNellan; Sunil Mehra; Bryan Phillips; Marissa B Reitsma; Blake Thomson; Shelley Wilson; Alexandra Wollum; Emmanuela Gakidou; Herbert C. Duber
Circulation-cardiovascular Quality and Outcomes | 2015
Gregory A. Roth; Rose Gabert; Blake Thomson; Emmanuela Gakidou
Circulation-cardiovascular Quality and Outcomes | 2015
Marie Ng; Blake Thomson; Yichong Li; Maigeng Zhou; Liming Wang; Bryan Philips; Jonathan Brown; Gregory A. Roth; Haidong Wang