'Mortality data' diaporamas de présentation

Performance and Outcome Measures

Performance and Outcome Measures. David Wright, Ph.D . and Nancy Warren Oklahoma Department of Mental Health and Substance Abuse Services September 27-28, 2012 Oklahoma Drug Court Conference. Why is Drug Court Data Important to Me?.

923 views • 75 slides

Demographic and Health Profile Maverick County, 2000

Demographic and Health Profile Maverick County, 2000. Office of Border Health Texas Department of State Health Services. Maverick County. Maverick County, 2000. In population, Maverick County ranked 6 th (out of 32 counties) in the Border region and 60 th (out of 254 counties) in Texas

1.04k views • 72 slides

Demographic and Health Profile Val Verde County 2001

Demographic and Health Profile Val Verde County 2001. Texas Department of State Health Services Office of Border Health. Val Verde County. Val Verde County 2001. In population, Val Verde County ranked 7 th (out of 32 counties) in the Border region and 64 th (out of 254 counties) in Texas

765 views • 66 slides

Demographic and Health Profile Webb County 2001

Demographic and Health Profile Webb County 2001. Texas Department of State Health Services Office of Border Health. Webb County. Webb County 2001. In population, Webb County ranked 4 th (out of 32 counties) in the Border region and 21 st (out of 254 counties) in Texas

825 views • 66 slides

Primary Pulmonary Hypertension and Sildenafil

Primary Pulmonary Hypertension and Sildenafil . Azim E. Surka WFUMC Resident Grand Rounds November 11, 2003. Overview:. Background WHO Classification Epidemiology Pathophysiology Current Therapies Sildenafil. Primary Pulmonary Hypertension.

1.14k views • 60 slides

Census and Sample Surveys as a Source of Mortality Data

Census and Sample Surveys as a Source of Mortality Data. Session 10b (for Statisticians). Outline. Introduction Five methods of estimating mortality statistics Survival of children ever born Birth histories Recent household deaths Survival of parents Survival of siblings. Introduction.

818 views • 53 slides

NORDCAN version 2.10

Sponsored by. Powered by. ANCR. NORDCAN version 2.10. A PC based program for presentation of regional and national cancer incidence and mortality in the Nordic countries. Present facilities and future plans. Authors/contact persons. Database and help file: Jacques Ferlay, IARC

636 views • 44 slides

CHAPTER 15

CHAPTER 15 Vital Statistics and Demographic Methods OUTLINE 15.1 VITAL STATISTICS AND DEMOGRAPHICS Points out the importance of vital statistics and demographics 15.2 SOURCES OF VITAL STATISTICS AND DEMOGRAPHIC DATA

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Clinical Documentation Update for Physicians

Clinical Documentation Update for Physicians. November 9 and 16, 2011 Dr. Karen Jerome Kyle Jossi, RN. 0 of 30. Which hospitals were recently recognized by the Joint Commission as Top Performers on Key Quality Measures?. A. Every hospital in the United States

541 views • 39 slides

Population-based Cancer Surveillance: State Perspective

Population-based Cancer Surveillance: State Perspective. Molly schwenn, MD Cancer Registry Maine CDC, DHHS October 25, 2013. Public Health Surveillance.

479 views • 29 slides

Evidence-Based Public Health Practice: Using Research and Data to Improve Your Programs Week 1, Part 2: Data Sources

Evidence-Based Public Health Practice: Using Research and Data to Improve Your Programs Week 1, Part 2: Data Sources. Helena VonVille Library Director University of Texas School of Public Health.

407 views • 27 slides

What impact will implementation of ICD-10 have on mortality statistics by cause in the elderly?

What impact will implementation of ICD-10 have on mortality statistics by cause in the elderly?. Clare Griffiths Health and Care Division Office for National Statistics. Mortality Data. Collected for England and Wales by ONS from civil registration of deaths

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Office of Minority Health & Health Equity (OMHHE)

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Diabetes in Suriname

518 views • 17 slides

Deaths from smoking

Deaths from smoking. in Belarus. Deaths from smoking in Belarus. Particular emphasis is given to the number of deaths in middle age (defined as ages 35 to 69) Available on www.deathsfromsmoking.net.

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Deaths from smoking

292 views • 15 slides

Methods of analysing change over time and space

309 views • 15 slides

Everyday Statistics

Everyday Statistics. Presented by Mike La Dolcetta ASQ Sr. Member, CQE, CQM, CSSGB April 23rd, 2009. A Little Background. Statistics is a relatively young branch of mathematics.

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Prostate Cancer in Iowa: Incidence, Late-Stage Incidence, and Mortality 1999 to 2009

Prostate Cancer in Iowa: Incidence, Late-Stage Incidence, and Mortality 1999 to 2009. These maps were produced by the University of Iowa, Department of Geography Published on June 23, 2013 For more information, please visit: http://uiowa.edu/iowacancermaps2/.

241 views • 8 slides

1. Standard Life Expectancy (SLE) (the ideal)

Age. In designing a population health indicator based on mortality data, you can count the years lived ( blue ), or you can compare this to an ideal, measuring the shortfall ( red ). . 1. Standard Life Expectancy (SLE) (the ideal). Standard Expected Years of Life Lost (SEYLL). SEYLL.

175 views • 1 slides