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Nafis Sadat

Other affiliations: Microsoft
Bio: Nafis Sadat is an academic researcher from University of Washington. The author has contributed to research in topics: Health care & Gross domestic product. The author has an hindex of 3, co-authored 4 publications receiving 9060 citations. Previous affiliations of Nafis Sadat include Microsoft.

Papers
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Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.

10,401 citations

Journal ArticleDOI
03 Mar 2020-JAMA
TL;DR: National spending estimates stratified by health condition, age group, sex, type of care, and type of payer and modeled for each year from 1996 through 2016 show low back and neck pain had the highest amount of health care spending in 2016.
Abstract: Importance US health care spending has continued to increase and now accounts for 18% of the US economy, although little is known about how spending on each health condition varies by payer, and how these amounts have changed over time. Objective To estimate US spending on health care according to 3 types of payers (public insurance [including Medicare, Medicaid, and other government programs], private insurance, or out-of-pocket payments) and by health condition, age group, sex, and type of care for 1996 through 2016. Design and Setting Government budgets, insurance claims, facility records, household surveys, and official US records from 1996 through 2016 were collected to estimate spending for 154 health conditions. Spending growth rates (standardized by population size and age group) were calculated for each type of payer and health condition. Exposures Ambulatory care, inpatient care, nursing care facility stay, emergency department care, dental care, and purchase of prescribed pharmaceuticals in a retail setting. Main Outcomes and Measures National spending estimates stratified by health condition, age group, sex, type of care, and type of payer and modeled for each year from 1996 through 2016. Results Total health care spending increased from an estimated $1.4 trillion in 1996 (13.3% of gross domestic product [GDP]; $5259 per person) to an estimated $3.1 trillion in 2016 (17.9% of GDP; $9655 per person); 85.2% of that spending was included in this study. In 2016, an estimated 48.0% (95% CI, 48.0%-48.0%) of health care spending was paid by private insurance, 42.6% (95% CI, 42.5%-42.6%) by public insurance, and 9.4% (95% CI, 9.4%-9.4%) by out-of-pocket payments. In 2016, among the 154 conditions, low back and neck pain had the highest amount of health care spending with an estimated $134.5 billion (95% CI, $122.4-$146.9 billion) in spending, of which 57.2% (95% CI, 52.2%-61.2%) was paid by private insurance, 33.7% (95% CI, 30.0%-38.4%) by public insurance, and 9.2% (95% CI, 8.3%-10.4%) by out-of-pocket payments. Other musculoskeletal disorders accounted for the second highest amount of health care spending (estimated at $129.8 billion [95% CI, $116.3-$149.7 billion]) and most had private insurance (56.4% [95% CI, 52.6%-59.3%]). Diabetes accounted for the third highest amount of the health care spending (estimated at $111.2 billion [95% CI, $105.7-$115.9 billion]) and most had public insurance (49.8% [95% CI, 44.4%-56.0%]). Other conditions estimated to have substantial health care spending in 2016 were ischemic heart disease ($89.3 billion [95% CI, $81.1-$95.5 billion]), falls ($87.4 billion [95% CI, $75.0-$100.1 billion]), urinary diseases ($86.0 billion [95% CI, $76.3-$95.9 billion]), skin and subcutaneous diseases ($85.0 billion [95% CI, $80.5-$90.2 billion]), osteoarthritis ($80.0 billion [95% CI, $72.2-$86.1 billion]), dementias ($79.2 billion [95% CI, $67.6-$90.8 billion]), and hypertension ($79.0 billion [95% CI, $72.6-$86.8 billion]). The conditions with the highest spending varied by type of payer, age, sex, type of care, and year. After adjusting for changes in inflation, population size, and age groups, public insurance spending was estimated to have increased at an annualized rate of 2.9% (95% CI, 2.9%-2.9%); private insurance, 2.6% (95% CI, 2.6%-2.6%); and out-of-pocket payments, 1.1% (95% CI, 1.0%-1.1%). Conclusions and Relevance Estimates of US spending on health care showed substantial increases from 1996 through 2016, with the highest increases in population-adjusted spending by public insurance. Although spending on low back and neck pain, other musculoskeletal disorders, and diabetes accounted for the highest amounts of spending, the payers and the rates of change in annual spending growth rates varied considerably.

450 citations

Journal ArticleDOI
Joseph L Dieleman1, Madeline Campbell1, Abigail Chapin1, Erika Eldrenkamp1, Victoria Y. Fan2, Annie Haakenstad1, Jennifer Kates3, Zhiyin Li1, Taylor Matyasz1, Angela E Micah1, Alex Reynolds1, Nafis Sadat1, Matthew T Schneider1, Reed J D Sorensen1, Kaja Abbas4, Semaw Ferede Abera, Aliasghar Ahmad Kiadaliri5, Muktar Beshir Ahmed6, Khurshid Alam7, Reza Alizadeh-Navaei8, Ala'a Alkerwi, Erfan Amini9, Walid Ammar, Carl Abelardo T. Antonio10, Tesfay Mehari Atey11, Leticia Avila-Burgos, Ashish Awasthi, Aleksandra Barac12, Tezera Moshago Berheto, Addisu Shunu Beyene13, Tariku Jibat Beyene14, C Birungi15, Habtamu Mellie Bizuayehu16, Nicholas J K Breitborde17, Lucero Cahuana-Hurtado, Ruben Castro18, Ferran Catalia-Lopez19, Koustuv Dalal20, Lalit Dandona, Rakhi Dandona, Samath D Dharmaratne21, Manisha Dubey, Andé Faro22, Andrea B. Feigl2, Florian Fischer23, Joseph R Fitchett2, Nataliya Foigt24, Ababi Zergaw Giref25, Rahul Gupta26, Samer Hamidi27, Hilda L Harb, Simon I. Hay28, Delia Hendrie29, Masako Horino, Mikk Jürisson30, Mihajlo Jakovljevic31, Mehdi Javanbakht32, Denny John, Jost B. Jonas33, Seyed M Karimi1, Young-Ho Khang34, Jagdish Khubchandani35, Yun Jin Kim36, Jonas Minet Kinge, Kristopher J Krohn1, G Anil Kumar, Ricky Leung37, Hassan Magdy Abd El Razek38, Mohammed Magdy Abd El Razek39, Azeem Majeed40, Reza Malekzadeh9, Deborah Carvalho Malta41, Atte Meretoja, Ted R. Miller29, Erkin M. Mirrakhimov, Shafiu Mohammed33, Gedefaw Molla, Vinay Nangia, Stefano Olgiati, Mayowa O. Owolabi, Tejas Patel42, Angel J Paternina Caicedo43, David M. Pereira44, Julian Perelman, Suzanne Polinder45, Anwar Rafay, Vafa Rahimi-Movaghar9, Rajesh Kumar Rai, Usha Ram, Chhabi Lal Ranabhat46, Hirbo Shore Roba13, Miloje Savic, Sadaf G. Sepanlou9, Braden Te Ao47, Azeb Gebresilassie Tesema11, Alan J Thomson, Ruoyan Tobe-Gai, Roman Topor-Madry, Eduardo A. Undurraga48, Veronica Vargas49, Tommi Vasankari, Francesco Saverio Violante50, Tissa Wijeratne, Gelin Xu51, Naohiro Yonemoto52, Mustafa Z. Younis53, Chuanhua Yu54, Zoubida Zaidi, Maysaa El Sayed Zaki38, Christopher J L Murray1 
University of Washington1, Harvard University2, University of California, San Francisco3, Virginia Tech4, Lund University5, Jimma University6, University of Sydney7, University of Mazandaran8, Tehran University of Medical Sciences9, University of the Philippines Manila10, Mekelle University11, University of Belgrade12, Haramaya University13, Wageningen University and Research Centre14, University of London15, Debre markos University16, Ohio State University17, Diego Portales University18, University of Ottawa19, Örebro University20, University of Peradeniya21, Universidade Federal de Sergipe22, Bielefeld University23, Academy of Medical Sciences, United Kingdom24, Addis Ababa University25, West Virginia University26, Hamdan bin Mohammed e-University27, Canterbury Christ Church University28, Curtin University29, University of Tartu30, University of Kragujevac31, University of Aberdeen32, Heidelberg University33, Seoul National University34, Ball State University35, Southern University College36, State University of New York System37, Mansoura University38, Aswan University39, Imperial College London40, Universidade Federal de Minas Gerais41, Icahn School of Medicine at Mount Sinai42, University of Pittsburgh43, University of Porto44, Erasmus University Rotterdam45, Yonsei University46, Auckland University of Technology47, Brandeis University48, Alberto Hurtado University49, University of Bologna50, Nanjing University51, Kyoto University52, Jackson State University53, Wuhan University54
TL;DR: Health spending is associated with economic development but past trends and relationships suggest that spending will remain variable, and low in some low-resource settings, although for the poorest countries external support might remain essential.

159 citations


Cited by
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Journal ArticleDOI
TL;DR: Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chair person) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK)

13,400 citations

Journal ArticleDOI
Theo Vos1, Theo Vos2, Theo Vos3, Stephen S Lim  +2416 moreInstitutions (246)
TL;DR: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates, and there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries.

5,802 citations

Journal ArticleDOI
TL;DR: The sources and methods used in compiling the cancer statistics in 185 countries are reviewed, and uncertainty intervals are now provided for the estimated sex‐ and site‐specific all‐ages number of new cancer cases and cancer deaths.
Abstract: Estimates of the worldwide incidence and mortality from 36 cancers and for all cancers combined for the year 2018 are now available in the GLOBOCAN 2018 database, compiled and disseminated by the International Agency for Research on Cancer (IARC). This paper reviews the sources and methods used in compiling the cancer statistics in 185 countries. The validity of the national estimates depends upon the representativeness of the source information, and to take into account possible sources of bias, uncertainty intervals are now provided for the estimated sex- and site-specific all-ages number of new cancer cases and cancer deaths. We briefly describe the key results globally and by world region. There were an estimated 18.1 million (95% UI: 17.5-18.7 million) new cases of cancer (17 million excluding non-melanoma skin cancer) and 9.6 million (95% UI: 9.3-9.8 million) deaths from cancer (9.5 million excluding non-melanoma skin cancer) worldwide in 2018.

4,924 citations

Journal ArticleDOI
TL;DR: Just under half a billion people are living with diabetes worldwide and the number is projected to increase by 25% in 2030 and 51% in 2045, with the prevalence higher in urban than rural areas, and in high-income than low-income countries.

4,865 citations

Journal ArticleDOI
TL;DR: In this paper, the authors assess the burden of 29 cancer groups over time to provide a framework for policy discussion, resource allocation, and research focus, and evaluate cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) for 195 countries and territories by age and sex using the Global Burden of Disease study estimation methods.
Abstract: Importance The increasing burden due to cancer and other noncommunicable diseases poses a threat to human development, which has resulted in global political commitments reflected in the Sustainable Development Goals as well as the World Health Organization (WHO) Global Action Plan on Non-Communicable Diseases. To determine if these commitments have resulted in improved cancer control, quantitative assessments of the cancer burden are required. Objective To assess the burden for 29 cancer groups over time to provide a framework for policy discussion, resource allocation, and research focus. Evidence Review Cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) were evaluated for 195 countries and territories by age and sex using the Global Burden of Disease study estimation methods. Levels and trends were analyzed over time, as well as by the Sociodemographic Index (SDI). Changes in incident cases were categorized by changes due to epidemiological vs demographic transition. Findings In 2016, there were 17.2 million cancer cases worldwide and 8.9 million deaths. Cancer cases increased by 28% between 2006 and 2016. The smallest increase was seen in high SDI countries. Globally, population aging contributed 17%; population growth, 12%; and changes in age-specific rates, −1% to this change. The most common incident cancer globally for men was prostate cancer (1.4 million cases). The leading cause of cancer deaths and DALYs was tracheal, bronchus, and lung cancer (1.2 million deaths and 25.4 million DALYs). For women, the most common incident cancer and the leading cause of cancer deaths and DALYs was breast cancer (1.7 million incident cases, 535 000 deaths, and 14.9 million DALYs). In 2016, cancer caused 213.2 million DALYs globally for both sexes combined. Between 2006 and 2016, the average annual age-standardized incidence rates for all cancers combined increased in 130 of 195 countries or territories, and the average annual age-standardized death rates decreased within that timeframe in 143 of 195 countries or territories. Conclusions and Relevance Large disparities exist between countries in cancer incidence, deaths, and associated disability. Scaling up cancer prevention and ensuring universal access to cancer care are required for health equity and to fulfill the global commitments for noncommunicable disease and cancer control.

4,621 citations