Daniel Dicker
University of Washington
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The Lancet | 2016
Maigeng Zhou; Haidong Wang; Jun Zhu; Wanqing Chen; Linhong Wang; Shiwei Liu; Yichong Li; Lijun Wang; Yunning Liu; Peng Yin; Jiangmei Liu; Shicheng Yu; Feng Tan; Ryan M. Barber; Matthew M. Coates; Daniel Dicker; Maya Fraser; Diego Gonzalez-Medina; Hannah Hamavid; Yuantao Hao; Guoqing Hu; Guohong Jiang; Haidong Kan; Alan D. Lopez; Michael R. Phillips; Jun She; Theo Vos; Xia Wan; Gelin Xu; Lijing L. Yan
BACKGROUND China has experienced a remarkable epidemiological and demographic transition during the past three decades. Far less is known about this transition at the subnational level. Timely and accurate assessment of the provincial burden of disease is needed for evidence-based priority setting at the local level in China. METHODS Following the methods of the Global Burden of Disease Study 2013 (GBD 2013), we have systematically analysed all available demographic and epidemiological data sources for China at the provincial level. We developed methods to aggregate county-level surveillance data to inform provincial-level analysis, and we used local data to develop specific garbage code redistribution procedures for China. We assessed levels of and trends in all-cause mortality, causes of death, and years of life lost (YLL) in all 33 province-level administrative units in mainland China, all of which we refer to as provinces, for the years between 1990 and 2013. FINDINGS All provinces in mainland China have made substantial strides to improve life expectancy at birth between 1990 and 2013. Increases ranged from 4.0 years in Hebei province to 14.2 years in Tibet. Improvements in female life expectancy exceeded those in male life expectancy in all provinces except Shanghai, Macao, and Hong Kong. We saw significant heterogeneity among provinces in life expectancy at birth and probability of death at ages 0-14, 15-49, and 50-74 years. Such heterogeneity is also present in cause of death structures between sexes and provinces. From 1990 to 2013, leading causes of YLLs changed substantially. In 1990, 16 of 33 provinces had lower respiratory infections or preterm birth complications as the leading causes of YLLs. 15 provinces had cerebrovascular disease and two (Hong Kong and Macao) had ischaemic heart disease. By 2013, 27 provinces had cerebrovascular disease as the leading cause, five had ischaemic heart disease, and one had lung cancer (Hong Kong). Road injuries have become a top ten cause of death in all provinces in mainland China. The most common non-communicable diseases, including ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and cancers (liver, stomach, and lung), contributed much more to YLLs in 2013 compared with 1990. INTERPRETATION Rapid transitions are occurring across China, but the leading health problems and the challenges imposed on the health system by epidemiological and demographic change differ between groups of Chinese provinces. Localised health policies need to be implemented to tackle the diverse challenges faced by local health-care systems. FUNDING China National Science & Technology Pillar Program 2013 (2013BAI04B02) and Bill & Melinda Gates Foundation.
JAMA | 2016
Joseph L. Dieleman; Ranju Baral; Maxwell Birger; Anthony L. Bui; Anne Bulchis; Abigail Chapin; Hannah Hamavid; Cody Horst; Elizabeth K. Johnson; Jonathan Joseph; Rouselle F. Lavado; Liya Lomsadze; Alex Reynolds; Ellen Squires; Madeline Campbell; Brendan DeCenso; Daniel Dicker; Abraham D. Flaxman; Rose Gabert; Tina Highfill; Mohsen Naghavi; Noelle Nightingale; Tara Templin; Martin Tobias; Theo Vos; Christopher J. L. Murray
Importance US health care spending has continued to increase, and now accounts for more than 17% of the US economy. Despite the size and growth of this spending, little is known about how spending on each condition varies by age and across time. Objective To systematically and comprehensively estimate US spending on personal health care and public health, according to condition, age and sex group, and type of care. Design and Setting Government budgets, insurance claims, facility surveys, household surveys, and official US records from 1996 through 2013 were collected and combined. In total, 183 sources of data were used to estimate spending for 155 conditions (including cancer, which was disaggregated into 29 conditions). For each record, spending was extracted, along with the age and sex of the patient, and the type of care. Spending was adjusted to reflect the health condition treated, rather than the primary diagnosis. Exposures Encounter with US health care system. Main Outcomes and Measures National spending estimates stratified by condition, age and sex group, and type of care. Results From 1996 through 2013,
The Lancet | 2015
John N Newton; Adam D M Briggs; Christopher J L Murray; Daniel Dicker; Kyle Foreman; Haidong Wang; Mohsen Naghavi; Mohammad H. Forouzanfar; Summer Lockett Ohno; Ryan M. Barber; Theo Vos; Jeffrey D. Stanaway; Jürgen C. Schmidt; Andrew Hughes; Derek F J Fay; R. Ecob; C. Gresser; Martin McKee; Harry Rutter; I. Abubakar; R. Ali; H R Anderson; Amitava Banerjee; Derrick Bennett; Eduardo Bernabé; Kamaldeep Bhui; Stan Biryukov; Rupert Bourne; Carol Brayne; Nigel Bruce
30.1 trillion of personal health care spending was disaggregated by 155 conditions, age and sex group, and type of care. Among these 155 conditions, diabetes had the highest health care spending in 2013, with an estimated
Archive | 2015
John N Newton; Adam D M Briggs; Christopher J. L. Murray; Daniel Dicker; Kyle Foreman; Haidong Wang; Mohsen Naghavi; Mohammad H. Forouzanfar; Summer Lockett Ohno; Ryan M. Barber; Theo Vos; Jeffrey D. Stanaway; Jürgen C. Schmidt; Andrew J. Hughes; Derek F J Fay; Russell Ecob; Charis Gresser; Martin McKee; Harry Rutter; Ibrahim Abubakar; Raghib Ali; H. Ross Anderson; Amitava Banerjee; Derrick Bennett; Eduardo Bernabé; Kamaldeep Bhui; Stanley M Biryukov; Rupert Bourne; Carol Brayne; Nigel Bruce
101.4 billion (uncertainty interval [UI],
JAMA Oncology | 2017
Tomi Akinyemiju; Semaw Ferede Abera; Muktar Beshir Ahmed; Noore Alam; Mulubirhan Assefa Alemayohu; Christine Allen; Rajaa Al-Raddadi; Nelson Alvis-Guzman; Yaw Ampem Amoako; Al Artaman; Tadesse Awoke Ayele; Aleksandra Barac; Isabela M. Benseñor; Adugnaw Berhane; Zulfiqar A. Bhutta; Jacqueline Castillo-Rivas; Abdulaal A Chitheer; Jee-Young Jasmine Choi; Benjamin C. Cowie; Lalit Dandona; Rakhi Dandona; Subhojit Dey; Daniel Dicker; Huyen Phuc; Donatus U. Ekwueme; Maysaa El Sayed Zaki; Florian Fischer; Thomas Fürst; Jamie Hancock; Simon I. Hay
96.7 billion-
The Lancet | 2013
Katherine Leach-Kemon; Alan D. Lopez; Rafael Lozano; Mohsen Naghavi; Theo Vos; Peter Speyer; Abigail McLain; Daniel Dicker; Diego Gonzalez-Medina; Carly E Levitz; Christopher J L Murray
106.5 billion) in spending, including 57.6% (UI, 53.8%-62.1%) spent on pharmaceuticals and 23.5% (UI, 21.7%-25.7%) spent on ambulatory care. Ischemic heart disease accounted for the second-highest amount of health care spending in 2013, with estimated spending of
Archives of Iranian Medicine | 2014
Mohammad H. Forouzanfar; Sadaf G. Sepanlou; Saeid Shahraz; Daniel Dicker; Paria Naghavi; Farshad Pourmalek; Ali H. Mokdad; Rafael Lozano; Theo Vos; Mohsen Asadi-Lari; Ali Akbar Sayyari; Christopher J. L. Murray; Mohsen Naghavi
88.1 billion (UI,
Archives of Iranian Medicine | 2014
Mohsen Naghavi; Saeid Shahraz; Sadaf G. Sepanlou; Daniel Dicker; Paria Naghavi; Farshad Pourmalek; Ali A. Mokdad; Rafael Lozano; Theo Vos; Mohsen Asadi-Lari; Ali Akbar Sayyari; Christopher J L Murray; Mohammad H. Forouzanfar
82.7 billion-
Archives of Iranian Medicine | 2014
Saeid Shahraz; Mohammad H. Forouzanfar; Sadaf G. Sepanlou; Daniel Dicker; Paria Naghavi; Farshad Pourmalek; Ali A. Mokdad; Rafael Lozano; Theo Vos; Mohsen Asadi-Lari; Ali Akbar Sayyari; Christopher J L Murray; Mohsen Naghavi
92.9 billion), and low back and neck pain accounted for the third-highest amount, with estimated health care spending of
Salud Publica De Mexico | 2016
Héctor Gómez-Dantés; Hector Lamadrid-Figueroa; Lucero Cahuana-Hurtado; Omar Silverman-Retana; Pablo Montero; María Cecilia González-Robledo; Christina Fitzmaurice; Amanda W Pain; Christine Allen; Daniel Dicker; Hannah Hamavid; Alan D. Lopez; Christopher J L Murray; Mohsen Naghavi; Rafael Lozano
87.6 billion (UI,