scholarly journals The Correlation Between Availability of Pediatricians and Child Mortality within the United States

2021 ◽  
Vol 23 ◽  
Author(s):  
Catalina Luna ◽  
Lauren Stone ◽  
Diana Feier ◽  
Tyler Shroll
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Child Mortality ◽  
Negative Correlation ◽  
Metabolic Diseases ◽  
The United States ◽  
Mortality Rates ◽  
Pediatric Care ◽  
Strong Negative Correlation ◽  
Child Mortality Rate

As the profession of pediatrics becomes more popular, the decision of whether a pediatrician is necessary becomes increasingly prevalent. Understanding whether the availability of pediatricians is correlated to child mortality rates in the United States is essential to provide statistical evidence on the efficacy of current pediatric practices. This study aims to find a strong negative correlation between the availability of pediatricians and the mortality rates of children 18 and under in the United States. Data on U.S. child mortality rates from the CDC’s WONDER database and data on pediatricians from the American Board of Pediatrics were collected to perform 4 separate correlational tests on Microsoft Excel. The first test examined the correlation between the ratio of pediatricians in each state with state-by-state child mortality rates in 2018. The second test examined the number of certified pediatricians from 2000-2018 in the entire U.S. population with the child mortality rate in the same time period. The third and fourth tests examined the correlation between the number of certified pediatricians in 2000-2018 in the entire U.S. population with the child mortality rate due to cardiac-related and endocrine-metabolic diseases, respectively. Each test showed a moderate negative correlation demonstrating an implied relationship in which a higher number of pediatricians relates to lower child mortality rates. These results can be used to further public knowledge on the effects and potential benefits that pediatricians have on childhood health and development, helping parents make more informed decisions regarding their child's pediatric care options.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

scholarly journals Health status of children in ancient Sirmium

Starinar ◽  
2016 ◽  
pp. 65-80 ◽  
Author(s):  
Natasa Miladinovic-Radmilovic ◽  
Vulovic Dragana ◽  
Ksenija Djukic
Keyword(s):  
Health Status ◽  
Mortality Rate ◽  
Child Mortality ◽  
Middle Ear ◽  
Metabolic Diseases ◽  
Enamel Hypoplasia ◽  
The Social ◽  
Haematological Disorders ◽  
Child Mortality Rate ◽  
Inadequate Nutrition

This paper presents diseases which directly leave traces on osteological material (enamel hypoplasia, caries, traumatic conditions, haematological disorders, metabolic diseases and middle ear inflammation) and diseases that leave no visible marks on bones, and may indeed be the direct cause of death of children in ancient Sirmium. In paleodemographic research, child mortality rate is an important element of a population?s progress. Child mortality is considered an adequate criterion for the social and sanitation conditions of a community and a sensitive indicator of inadequate nutrition.

Craniotomy for Resection of Pediatric Brain Tumors in the United States, 1988 to 2000: Effects of Provider Caseloads and Progressive Centralization and Specialization of Care

Neurosurgery ◽  
2004 ◽  
Vol 54 (3) ◽  
pp. 553-565 ◽  
Author(s):  
Edward R. Smith ◽  
William E. Butler ◽  
Fred G. Barker
Keyword(s):  
United States ◽  
Brain Tumor ◽  
Mortality Rate ◽  
Multivariate Analyses ◽  
Pediatric Brain Tumor ◽  
High Volume ◽  
The United States ◽  
Mortality Rates ◽  
Discharge Disposition ◽  
Pediatric Brain

Abstract OBJECTIVE Large provider caseloads are associated with better patient outcomes after many complex surgical procedures. Mortality rates for pediatric brain tumor surgery in various practice settings have not been described. We used a national hospital discharge database to study the volume-outcome relationship for craniotomy performed for pediatric brain tumor resection, as well as trends toward centralization and specialization. METHODS We conducted a cross sectional and longitudinal cohort study using Nationwide Inpatient Sample data for 1988 to 2000 (Agency for Healthcare Research and Quality, Rockville, MD). Multivariate analyses adjusted for age, sex, geographic region, admission type (emergency, urgent, or elective), tumor location, and malignancy. RESULTS We analyzed 4712 admissions (329 hospitals, 480 identified surgeons) for pediatric brain tumor craniotomy. The in-hospital mortality rate was 1.6% and decreased from 2.7% (in 1988–1990) to 1.2% (in 1997–2000) during the study period. On a per-patient basis, median annual caseloads were 11 for hospitals (range, 1–59 cases) and 6 for surgeons (range, 1–32 cases). In multivariate analyses, the mortality rate was significantly lower at high-volume hospitals than at low-volume hospitals (odds ratio, 0.52 for 10-fold larger caseload; 95% confidence interval, 0.28–0.94; P = 0.03). The mortality rate was 2.3% at the lowest-volume-quartile hospitals (4 or fewer admissions annually), compared with 1.4% at the highest-volume-quartile hospitals (more than 20 admissions annually). There was a trend toward lower mortality rates after surgery performed by high-volume surgeons (P = 0.16). Adverse hospital discharge disposition was less likely to be associated with high-volume hospitals (P < 0.001) and high-volume surgeons (P = 0.004). Length of stay and hospital charges were minimally related to hospital caseloads. Approximately 5% of United States hospitals performed pediatric brain tumor craniotomy during this period. The burden of care shifted toward large-caseload hospitals, teaching hospitals, and surgeons whose practices included predominantly pediatric patients, indicating progressive centralization and specialization. CONCLUSION Mortality and adverse discharge disposition rates for pediatric brain tumor craniotomy were lower when the procedure was performed at high-volume hospitals and by high-volume surgeons in the United States, from 1988 to 2000. There were trends toward lower mortality rates, greater centralization of surgery, and more specialization among surgeons during this period.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Neighborhood Features

2020 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

AbstractWhat is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?BackgroundFollowing a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking. We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.MethodsSatellite images were extracted with the Google Static Maps application programming interface for 430 counties representing approximately 68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.ResultsPredicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r=0.72). Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race and age. Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g. sidewalks, driveways and hiking trails) associated with lower mortality.ConclusionsThe application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

scholarly journals Trends in Premature Mortality From Acute Myocardial Infarction in the United States, 1999 to 2019

2021 ◽  
Author(s):  
Sourbha S. Dani ◽  
Ahmad N. Lone ◽  
Zulqarnain Javed ◽  
Muhammad S. Khan ◽  
Muhammad Zia Khan ◽  
...  
Keyword(s):  
United States ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Mortality Rate ◽  
The United States ◽  
Mortality Rates ◽  
Percentage Change ◽  
Annual Percentage Change ◽  
Rural Counties ◽  
Average Annual Percentage Change

Background Evaluating premature (<65 years of age) mortality because of acute myocardial infarction (AMI) by demographic and regional characteristics may inform public health interventions. Methods and Results We used the Centers for Disease Control and Prevention’s WONDER (Wide‐Ranging Online Data for Epidemiologic Research) death certificate database to examine premature (<65 years of age) age‐adjusted AMI mortality rates per 100 000 and average annual percentage change from 1999 to 2019. Overall, the age‐adjusted AMI mortality rate was 13.4 (95% CI, 13.3–13.5). Middle‐aged adults, men, non‐Hispanic Black adults, and rural counties had higher mortality than young adults, women, NH White adults, and urban counties, respectively. Between 1999 and 2019, the age‐adjusted AMI mortality rate decreased at an average annual percentage change of −3.4 per year (95% CI, −3.6 to −3.3), with the average annual percentage change showing higher decline in age‐adjusted AMI mortality rates among large (−4.2 per year [95% CI, −4.4 to −4.0]), and medium/small metros (−3.3 per year [95% CI, −3.5 to −3.1]) than rural counties (−2.4 per year [95% CI, −2.8 to −1.9]). Age‐adjusted AMI mortality rates >90th percentile were distributed in the Southern states, and those with mortality <10th percentile were clustered in the Western and Northeastern states. After an initial decline between 1999 and 2011 (−4.3 per year [95% CI, −4.6 to −4.1]), the average annual percentage change showed deceleration in mortality since 2011 (−2.1 per year [95% CI, −2.4 to −1.8]). These trends were consistent across both sexes, all ethnicities and races, and urban/rural counties. Conclusions During the past 20 years, decline in premature AMI mortality has slowed down in the United States since 2011, with considerable heterogeneity across demographic groups, states, and urbanicity. Systemic efforts are mandated to address cardiovascular health disparities and outcomes among nonelderly adults.

The Impact of BMI on Adult Blunt Trauma Outcomes

2019 ◽  
Vol 85 (12) ◽  
pp. 1354-1362
Author(s):  
Rahman Barry ◽  
Milad Modarresi ◽  
Rodrigo Aguilar ◽  
Jacqueline Sanabria ◽  
Thao Wolbert ◽  
...  
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Length Of Stay ◽  
Blunt Trauma ◽  
Nationwide Inpatient Sample ◽  
The United States ◽  
Mortality Rates ◽  
Hospital Length Of Stay ◽  
Obese Patients ◽  
The Impact

Traumatic injuries account for 10% of all mortalities in the United States. Globally, it is estimated that by the year 2030, 2.2 billion people will be overweight (BMI ≥ 25) and 1.1 billion people will be obese (BMI ≥ 30). Obesity is a known risk factor for suboptimal outcomes in trauma; however, the extent of this impact after blunt trauma remains to be determined. The incidence, prevalence, and mortality rates from blunt trauma by age, gender, cause, BMI, year, and geography were abstracted using datasets from 1) the Global Burden of Disease group 2) the United States Nationwide Inpatient Sample databank 3) two regional Level II trauma centers. Statistical analyses, correlations, and comparisons were made on a global, national, and state level using these databases to determine the impact of BMI on blunt trauma. The incidence of blunt trauma secondary to falls increased at global, national, and state levels during our study period from 1990 to 2015, with a corresponding increase in BMI at all levels ( P < 0.05). Mortality due to fall injuries was higher in obese patients at all levels ( P < 0.05). Analysis from Nationwide Inpatient Sample database demonstrated higher mortality rates for obese patients nationally, both after motor vehicle collisions and mechanical falls ( P < 0.05). In obese and nonobese patients, regional data demonstrated a higher blunt trauma mortality rate of 2.4% versus 1.2%, respectively ( P < 0.05) and a longer hospital length of stay of 4.13 versus 3.26 days, respectively ( P = 0.018). The obesity rate and incidence of blunt trauma secondary to falls are increasing, with a higher mortality rate and longer length of stay in obese blunt trauma patients.

scholarly journals A survey of naturally occurring diseases of the Syrian hamster

1975 ◽  
Vol 9 (3) ◽  
pp. 179-191 ◽  
Author(s):  
Harland W. Renshaw ◽  
G. L. Van Hoosier ◽  
Norine K. Amend
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Age Groups ◽  
The United States ◽  
Mortality Rates ◽  
Survey Respondent ◽  
Relative Importance ◽  
Review Of The Literature ◽  
Research Activities ◽  
Naturally Occurring

Questionnaires on research activities, mortality rates observed in various age groups, extent of examination of dead hamsters, and natural disease conditions and their relative importance were returned by 24 of 43 organisations surveyed in the United States. The average preweaning mortality rate due to all causes was 11·9%. Comparative data from 6 organisations that raised 87880 hamsters in the calendar year 1971 indicated that 97·5% of total preweaning mortality was due to cannibalism. 13·7% of all animals died before use for experiments. 'Wet-tail' was the most frequently recognized disease (71%), and it was also listed as the most important. Pneumonia was recognized by 43% of the respondents and was most commonly listed as second in importance. A selective review of the literature is presented on those diseases recognized by more than one survey respondent.

scholarly journals Evolution and current state of global research on paediatric resuscitation: a systematic scientometric analysis

2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Sean S. Scholz ◽  
Rainer Borgstedt ◽  
Leoni C. Menzel ◽  
Sebastian Rehberg ◽  
Gerrit Jansen
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Research Performance ◽  
The United States ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Hirsch Index ◽  
Current State ◽  
High Infant Mortality

Abstract Background Paediatric resuscitation is rare but potentially associated with maximal lifetime reduction. Notably, several nations experience high infant mortality rates even today. To improve clinical outcomes and promote research, detailed analyses on evolution and current state of research on paediatric resuscitation are necessary. Methods Research on paediatric resuscitation published in-between 1900 and 2019 were searched using Web of Science. Metadata were extracted and analyzed based on the science performance evaluation (SciPE) protocol. Research performance was evaluated regarding quality and quantity over time, including comparisons to adult resuscitation. National research performance was related to population, financial capacities, infant mortality rate, collaborations, and authors’ gender. Results Similar to adult resuscitation, research performance on paediatric resuscitation grew exponentially with most original articles being published during the last decade (1106/1896). The absolute number, however, is only 14% compared to adults. The United States dominate global research by contributing the highest number of articles (777), Hirsch-Index (70), and citations (18,863). The most productive collaboration was between the United States and Canada (52). When considering nation’s population and gross domestic product (GDP) rate, Norway is leading regarding population per article (62,467), per Hirsch-Index (223,841), per citation (2226), and per GDP (2.3E-04). Regarding publications per infant mortality rate, efforts of India and Brazil are remarkable. Out of the 100 most frequently publishing researchers, 25% were female. Conclusion Research efforts on paediatric resuscitation have increased but remain underrepresented. Specifically, nations with high infant mortality rates should be integrated by collaborations. Additional efforts are required to overcome gender disparities.

Mortality Rates and Trends in Massachusetts Before 1860

1972 ◽  
Vol 32 (1) ◽  
pp. 184-213 ◽  
Author(s):  
Maris A. Vinovskis
Keyword(s):  
United States ◽  
Nineteenth Century ◽  
Mortality Rate ◽  
The United States ◽  
Mortality Rates ◽  
Mortality Data ◽  
Different Types ◽  
Long Term Trends ◽  
Different Sources

The study of mortality rates and trends in the United States before 1860 has been rather unsystematic to date. Most scholars have been content to estimate the mortality rate at some point in time and only a few serious efforts have been made to ascertain the long-term trends in mortality. Particularly lacking are efforts to relate estimates of mortality in the seventeenth and eighteenth centuries to those of the nineteenth century. In addition, the few studies that have attempted to discuss long-term trends in American mortality have been forced to rely on estimates of mortality gathered from different sources and based on different techniques of analysis. Unfortunately, almost no efforts have been made to estimate possible biases introduced when comparing mortality data from different types of records.

scholarly journals Response to the COVID-19 Pandemic: Comparison of Strategies in Six Countries

2021 ◽  
Vol 9 ◽  
Author(s):  
Haiqian Chen ◽  
Leiyu Shi ◽  
Yuyao Zhang ◽  
Xiaohan Wang ◽  
Jun Jiao ◽  
...  
Keyword(s):  
United States ◽  
United Kingdom ◽  
Mortality Rate ◽  
South Korea ◽  
The United States ◽  
Mortality Rates ◽  
Mitigation Strategies ◽  
The United Kingdom ◽  
And Control ◽  
Close Contacts

Objective: This study aimed to examine the effectiveness of containment strategies and mitigation strategies to provide a reference for controlling the ongoing global spread of the pandemic.Methods: We extracted publicly available data from various official websites between January 1 and December 31, 2020, summarized the strategies implemented in China, South Korea, Singapore, the United States, the United Kingdom, and France, and assessed the effectiveness of the prevention and control measures adopted by these countries with the daily new cases and mortality rate per 100,000 population.Results: China, South Korea, and Singapore adopted containment strategies, which maintained a proactive approach by identifying and managing cases, tracking and isolating close contacts. China and Singapore had a similar epidemic curve and the new daily cases. As of December 31, 2020, the new daily cases of China and Singapore were below 100 with the mortality rates per 100,000 population of 0.3 and 0.5, respectively. But the new daily case of South Korea was as high as 1,029, with a mortality rate per 100,000 population of 1.8. In contrast, the United States, the United Kingdom, and France responded with mitigation strategies that focus on treating severe cases and those with underlying conditions. They had similar epidemic curves and mortality rates per 100,000 population. The United States had up to 234,133 new confirmed cases per day, and the mortality rate per 100,000 population was 107, while the United Kingdom had 56,029 new confirmed cases per day and the mortality rate per 100,000 population was 108, and France had 20,042 new cases per day, with a mortality rate per 100,000 population of 99.Conclusions: China, Korea, and Singapore, which implemented strict containment measures, had significant outbreak control. Meanwhile, the successful practices in China, Singapore, and South Korea show that the containment strategies were practices that work especially at the individual level identifying and managing the infected patients and their close contacts. In the United States, the United Kingdom, and France, which implemented the mitigation policies, the effect of epidemic prevention and control was not significant that the epidemic continued or even increased epidemic relatively quickly.

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