-
1
-
-
84921022571
-
-
Accessed December 16, 2015
-
World Health Organization. The data repository. http://www.who.int/gho/database/en/. Accessed December 16, 2015.
-
The Data Repository
-
-
-
2
-
-
33847676571
-
-
Accessed December 16, 2015
-
Centers for Medicare & Medicaid Services. National health expenditure data: historical. https://www.cms.gov/research-statistics-data-and-systems/statistics-trends-and-reports/nationalhealthexpenddata/nationalhealthaccountshistorical.html. Accessed December 16, 2015.
-
National Health Expenditure Data: Historical
-
-
-
4
-
-
84940449556
-
-
Agency for Healthcare Research and Quality. Accessed November 15, 2016
-
Agency for Healthcare Research and Quality. United States Medical Expenditure Panel Survey 1996-2013. https://meps.ahrq.gov/mepsweb/. Accessed November 15, 2016.
-
United States Medical Expenditure Panel Survey 1996-2013
-
-
-
5
-
-
84973472621
-
Mental disorders top the list of the most costly conditions in the united states: $201 billion
-
Roehrig C. Mental disorders top the list of the most costly conditions in the united states: $201 billion. Health Aff (Millwood). 2016;35(6):1130-1135.
-
(2016)
Health Aff (Millwood)
, vol.35
, Issue.6
, pp. 1130-1135
-
-
Roehrig, C.1
-
6
-
-
84949086655
-
Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition
-
Murray CJL, Barber RM, Foreman KJ, et al; GBD 2013 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition. Lancet. 2015;386(10009):2145-2191.
-
(2015)
Lancet
, vol.386
, Issue.10009
, pp. 2145-2191
-
-
Murray, C.J.L.1
Barber, R.M.2
Foreman, K.J.3
-
7
-
-
67651154258
-
Challenges in building disease-based national health accounts
-
Rosen AB, Cutler DM. Challenges in building disease-based national health accounts. Med Care. 2009;47(7)(suppl 1):S7-S13.
-
(2009)
Med Care
, vol.47
, Issue.7
, pp. S7-S13
-
-
Rosen, A.B.1
Cutler, D.M.2
-
8
-
-
77951943060
-
Algorithms for enhancing public health utility of national causes-of-death data
-
Naghavi M, Makela S, Foreman K, O'Brien J, Pourmalek F, Lozano R. Algorithms for enhancing public health utility of national causes-of-death data. Popul Health Metr. 2010;8(1):9.
-
(2010)
Popul Health Metr
, vol.8
, Issue.1
, pp. 9
-
-
Naghavi, M.1
Makela, S.2
Foreman, K.3
O'Brien, J.4
Pourmalek, F.5
Lozano, R.6
-
9
-
-
0032847535
-
Medical care expenditures for diabetes, its chronic complications, and its comorbidities
-
Hodgson TA, Cohen AJ. Medical care expenditures for diabetes, its chronic complications, and its comorbidities. Prev Med. 1999;29(3):173-186.
-
(1999)
Prev Med.
, vol.29
, Issue.3
, pp. 173-186
-
-
Hodgson, T.A.1
Cohen, A.J.2
-
10
-
-
34249338087
-
Multimorbidity's many challenges
-
Fortin M, Soubhi H, Hudon C, Bayliss EA, van den Akker M. Multimorbidity's many challenges. BMJ. 2007;334(7602):1016-1017.
-
(2007)
BMJ
, vol.334
, Issue.7602
, pp. 1016-1017
-
-
Fortin, M.1
Soubhi, H.2
Hudon, C.3
Bayliss, E.A.4
Van Den Akker, M.5
-
11
-
-
0037111717
-
Prevalence, expenditures, and complications of multiple chronic conditions in the elderly
-
Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med. 2002;162(20):2269-2276.
-
(2002)
Arch Intern Med.
, vol.162
, Issue.20
, pp. 2269-2276
-
-
Wolff, J.L.1
Starfield, B.2
Anderson, G.3
-
12
-
-
66149172047
-
National health spending by medical condition, 1996-2005
-
Roehrig C, Miller G, Lake C, Bryant J. National health spending by medical condition, 1996-2005. Health Aff (Millwood). 2009;28(2):w358-w367.
-
(2009)
Health Aff (Millwood)
, vol.28
, Issue.2
, pp. w358-w367
-
-
Roehrig, C.1
Miller, G.2
Lake, C.3
Bryant, J.4
-
13
-
-
81855225720
-
The growth in cost per case explains far more of US health spending increases than rising disease prevalence
-
Roehrig CS, Rousseau DM. The growth in cost per case explains far more of US health spending increases than rising disease prevalence. Health Aff (Millwood). 2011;30(9):1657-1663.
-
(2011)
Health Aff (Millwood)
, vol.30
, Issue.9
, pp. 1657-1663
-
-
Roehrig, C.S.1
Rousseau, D.M.2
-
14
-
-
85008510589
-
-
Accessed November 15, 2016
-
Agency for Healthcare Research and Quality. United States Nationwide Inpatient Sample, 1996-2013. https://www.hcup-us.ahrq.gov/nisoverview.jsp. Accessed November 15, 2016.
-
United States Nationwide Inpatient Sample, 1996-2013
-
-
-
15
-
-
84978708950
-
Assessing the complex and evolving relationship between charges and payments in US hospitals: 1996-2012
-
Hamavid H, Birger M, Bulchis AG, et al. Assessing the complex and evolving relationship between charges and payments in US hospitals: 1996-2012. PLoS One. 2016;11(7):e0157912.
-
(2016)
PLoS One
, vol.11
, Issue.7
-
-
Hamavid, H.1
Birger, M.2
Bulchis, A.G.3
-
16
-
-
20044382066
-
-
Substance Abuse and Mental Health Services Administration. Rockville, MD: Substance Abuse and Mental Health Services Administration
-
Substance Abuse and Mental Health Services Administration. National Expenditures for Mental Health Services & Substance Abuse Treatment: 1986-2009. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2013.
-
(2013)
National Expenditures for Mental Health Services & Substance Abuse Treatment: 1986-2009
-
-
-
17
-
-
85008474749
-
-
Accessed November 15, 2016
-
Centers for Medicare & Medicaid Services. United States Medicare Skilled Nursing Facility Limited Data Set 1999-2016. https://www.cms.gov/Research-Statistics-Data-and-Systems/Files-for-Order/LimitedDataSets/SkilledNursingFacilityMEDPARLDS.html. Accessed November 15, 2016.
-
United States Medicare Skilled Nursing Facility Limited Data Set 1999-2016
-
-
-
20
-
-
84946429280
-
-
Accessed November 28, 2016
-
National Center for Biotechnology Information. PyMC: Bayesian Stochastic Modelling in Python. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097064/. Accessed November 28, 2016.
-
PyMC: Bayesian Stochastic Modelling in Python
-
-
-
21
-
-
85008506837
-
-
Accessed June 11, 2016
-
Foster JT. Bspline. https://github.com/johntfoster/bspline. Accessed June 11, 2016.
-
Bspline
-
-
Foster, J.T.1
-
24
-
-
84992202449
-
Global burden of stroke and risk factors in 188 countries, during 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013
-
Feigin VL, Roth GA, Naghavi M, et al; Global Burden of Diseases, Injuries and Risk Factors Study 2013 and Stroke Experts Writing Group. Global burden of stroke and risk factors in 188 countries, during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet Neurol. 2016;15(9):913-924.
-
(2016)
Lancet Neurol.
, vol.15
, Issue.9
, pp. 913-924
-
-
Feigin, V.L.1
Roth, G.A.2
Naghavi, M.3
-
25
-
-
70349207410
-
Annual medical spending attributable to obesity: Payer-and service-specific estimates
-
Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual medical spending attributable to obesity: payer-and service-specific estimates. Health Aff (Millwood). 2009;28(5):w822-w831.
-
(2009)
Health Aff (Millwood)
, vol.28
, Issue.5
, pp. w822-w831
-
-
Finkelstein, E.A.1
Trogdon, J.G.2
Cohen, J.W.3
Dietz, W.4
-
26
-
-
84875789823
-
Monetary costs of dementia in the United States
-
Hurd MD, Martorell P, Delavande A, Mullen KJ, Langa KM. Monetary costs of dementia in the United States. N Engl J Med. 2013;368(14):1326-1334.
-
(2013)
N Engl J Med.
, vol.368
, Issue.14
, pp. 1326-1334
-
-
Hurd, M.D.1
Martorell, P.2
Delavande, A.3
Mullen, K.J.4
Langa, K.M.5
-
27
-
-
80053551473
-
Economic burden of cancer in the United States: Estimates, projections, and future research
-
Yabroff KR, Lund J, Kepka D, Mariotto A. Economic burden of cancer in the United States: estimates, projections, and future research. Cancer Epidemiol Biomarkers Prev. 2011;20(10):2006-2014.
-
(2011)
Cancer Epidemiol Biomarkers Prev.
, vol.20
, Issue.10
, pp. 2006-2014
-
-
Yabroff, K.R.1
Lund, J.2
Kepka, D.3
Mariotto, A.4
-
28
-
-
17144401914
-
Which medical conditions account for the rise in health care spending?
-
suppl web exclusives
-
Thorpe KE, Florence CS, Joski P. Which medical conditions account for the rise in health care spending? Health Aff (Millwood). 2004;suppl web exclusives:W4-437-45.
-
(2004)
Health Aff (Millwood)
, pp. W4437-W4445
-
-
Thorpe, K.E.1
Florence, C.S.2
Joski, P.3
-
29
-
-
84958175924
-
Health care spending slowdown from 2000 to 2010 was driven by lower growth in cost per case, according to a new data source
-
Dunn A, Rittmueller L, Whitmire B. Health care spending slowdown from 2000 to 2010 was driven by lower growth in cost per case, according to a new data source. Health Aff (Millwood). 2016;35(1):132-140.
-
(2016)
Health Aff (Millwood)
, vol.35
, Issue.1
, pp. 132-140
-
-
Dunn, A.1
Rittmueller, L.2
Whitmire, B.3
-
30
-
-
84899882893
-
US health spending trends by age and gender: Selected years 2002-10
-
Lassman D, Hartman M, Washington B, Andrews K, Catlin A. US health spending trends by age and gender: selected years 2002-10. Health Aff (Millwood). 2014;33(5):815-822.
-
(2014)
Health Aff (Millwood)
, vol.33
, Issue.5
, pp. 815-822
-
-
Lassman, D.1
Hartman, M.2
Washington, B.3
Andrews, K.4
Catlin, A.5
-
31
-
-
33845485929
-
Reconciling medical expenditure estimates from the MEPS and NHEA, 2002
-
Sing M, Banthin JS, Selden TM, Cowan CA, Keehan SP. Reconciling medical expenditure estimates from the MEPS and NHEA, 2002. Health Care Financ Rev. 2006;28(1):25-40.
-
(2006)
Health Care Financ Rev.
, vol.28
, Issue.1
, pp. 25-40
-
-
Sing, M.1
Banthin, J.S.2
Selden, T.M.3
Cowan, C.A.4
Keehan, S.P.5
-
32
-
-
80555135656
-
Measuring health care costs of individuals with employer-sponsored health insurance in the US: A comparison of survey and claims data
-
Aizcorbe A, Liebman E, Pack S, Cutler DM, Chernew ME, Rosen AB. Measuring health care costs of individuals with employer-sponsored health insurance in the US: a comparison of survey and claims data. Stat J IAOS. 2012;28(1-2):43-51.
-
(2012)
Stat J IAOS.
, vol.28
, Issue.1-2
, pp. 43-51
-
-
Aizcorbe, A.1
Liebman, E.2
Pack, S.3
Cutler, D.M.4
Chernew, M.E.5
Rosen, A.B.6
-
33
-
-
84874073454
-
Reconciling medical expenditure estimates from the MEPS and NHEA, 2007
-
mmrr.002.04.a09
-
Bernard D, Cowan C, Selden T, Cai L, Catlin A, Heffler S. Reconciling medical expenditure estimates from the MEPS and NHEA, 2007. Medicare Medicaid Res Rev. 2012;2(4):mmrr.002.04.a09.
-
(2012)
Medicare Medicaid Res Rev.
, vol.2
, Issue.4
-
-
Bernard, D.1
Cowan, C.2
Selden, T.3
Cai, L.4
Catlin, A.5
Heffler, S.6
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