Deaths from heart failure: Using coarsened exact matching to correct cause-of-death statistics

Population Health Metrics

Volumn 8, Issue 1, 2010, Pages

  Stevens, Gretchen A ^a   King, Gary ^b   Shibuya, Kenji ^c  

^a WORLD HEALTH ORGANIZATION   (Switzerland)

^b HARVARD UNIVERSITY   (United States)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CARDIOVASCULAR DISEASE; CAUSE OF DEATH; EPIDEMIOLOGY; HEALTH MONITORING; PUBLIC HEALTH;

ALGORITHM; ARTICLE; BRAZIL; CAUSE OF DEATH; DEATH CERTIFICATE; DIABETES MELLITUS; EPIDEMIOLOGICAL DATA; HEART FAILURE; HYPERTENSION; ISCHEMIC HEART DISEASE; MEXICO; MORTALITY; PRIORITY JOURNAL; PUBLIC HEALTH; UNITED STATES;

BRAZIL; MEXICO [NORTH AMERICA]; UNITED STATES;

EID: 77950658222     PISSN: None     EISSN: 14787954     Source Type: Journal    
DOI: 10.1186/1478-7954-8-6     Document Type: Article

References (22)

1. Mahapatra P, Shibuya K, Lopez AD, Coullare F, Notzon FC, Rao C, Szreter S. Civil registration systems and vital statistics: successes and missed opportunities. Lancet 2007, 370(9599):1653-1663.
2. World Health Organization The global burden of disease - 2004 update 2008, Geneva: World Health Organization, World Health Organization.
3. World Health Organization International Statistical Classification of Disease and Related Health Problems 1992, Geneva: World Health Organization, Tenth, World Health Organization.
4. Hanzlick R. Improving accuracy of death certificates. JAMA 1993, 269:2850. 10.1001/jama.269.22.2850, 8123071.
5. Yamashita T, Ozawa H, Aono H, Hosokawa H, Saito I, Ikebe T. Heart disease deaths on death certificates re-evaluated by clinical records in a Japanese city. Jpn Circ J 1997, 61:331-338. 10.1253/jcj.61.331, 9152785.
6. Smith Sehdev AE, Hutchins GM. Problems with proper completion and accuracy of the cause-of-death statement. Arch Intern Med 2001, 161:277-284. 10.1001/archinte.161.2.277, 11176744.
7. Ravakhah K. Death certificates are not reliable: revivification of the autopsy. South Med J 2006, 99:728-733. 10.1097/01.smj.0000224337.77074.57, 16866055.
8. Johansson LA, Bjorkenstam C, Westerling R. Unexplained differences between hospital and mortality data indicated mistakes in death certification: an investigation of 1,094 deaths in Sweden during 1995. J Clin Epidemiol 2009, 62:1202-1209. 10.1016/j.jclinepi.2009.01.010, 19364635.
9. Roulson J, Benbow EW, Hasleton PS. Discrepancies between clinical and autopsy diagnosis and the value of post mortem histology; a meta-analysis and review. Histopathology 2005, 47:551-559.
10. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet 2006, 367:1747-1757. 10.1016/S0140-6736(06)68770-9, 16731270.
11. Lozano R, Murray CJ, Lopez AD, Satoh T. Miscoding and misclassification of ischaemic heart disease mortality. Global Program on Evidence for Health Policy Discussion Papers 2001, Geneva: World Health Organization.
12. Murray CJ, Kulkarni SC, Ezzati M. Understanding the coronary heart disease versus total cardiovascular mortality paradox: a method to enhance the comparability of cardiovascular death statistics in the United States. Circulation 2006, 113:2071-2081. 10.1161/CIRCULATIONAHA.105.595777, 16636170.
13. Murray C, Dias RH, Kulkarni SC, Lozano R, Stevens GA, Ezzati M. Improving the comparability of diabetes mortality statistics in the United States and Mexico. Diabetes Care 2007, 31:451-458. 10.2337/dc07-1370, 17959860.
14. Iacus SM, King G, Porro G. Matching for causal inference without balance checking: coursened exact matching. 2008, , http://gking.harvard.edu/files/cem.pdf
15. Krum H, Abraham WT. Heart failure. Lancet 2009, 373:941-955. 10.1016/S0140-6736(09)60236-1, 19286093.
16. He J, Ogden LG, Bazzano LA, Vupputuri S, Loria C, Whelton PK. Risk factors for congestive heart failure in US men and women: NHANES I epidemiologic follow-up study. Arch Intern Med 2001, 161:996-1002. 10.1001/archinte.161.7.996, 11295963.
17. Lu TH. Using ACME (Automatic Classification of Medical Entry) software to monitor and improve the quality of cause of death statistics. J Epidemiol Community Health 2003, 57:470-471. 10.1136/jech.57.6.470, 1732484, 12775799.
18. Naghavi M, Ross J, Lozano R. Taking out the trash: rethinking garbage codes and redistribution methods. 2008, Seattle: Institute for Health Metrics and Evaluation.
19. Secretaría de Salud de México Sistema Estadístico de Defunciones. Secretaría de Salud de México., http://www.sinais.salud.gob.mx/
20. Ho D, Imai K, King G, Stuart E. Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis 2007, 15:199-236.
21. World Health Organization WHO Mortality Database. 2009, World Health Organization, 2009, World Health Organization.
22. Mathers CD, Ezzati M, Lopez AD, Murray CJL, Rodgers A. Causal Decomposition of Summary Measures of Population Health. Summary Measures of Population Health: Concepts, Ethics, Measurement and Applications 2002, Geneva: World Health Organization, Murray CJL, Salomon J, Mathers CD, Lopez AD.