1 Arman Bidarbakhtnia Statistician, UNSIAP. Areas of focus Health and nutrition of childrenMaternal healthMortality and causes of deathHIV and AIDSHealth.

Slides:



Advertisements
Similar presentations
Multiple Indicator Cluster Surveys MICS3 Regional Training Workshop Maternal Mortality.
Advertisements

Health statistics in MICS and DHS – a gendered perspective Holly Newby Statistics & Monitoring Section UNICEF ESA/STAT/AC.219/12.
HEALTH INDICATORS IN ZAMBIA PRESENTER; DR PHIRI CHIMIKA 13 th march 2012.
© 2002, CARE USA. All rights reserved. ECARMU Program Quality 17 March 2010 Telling the Story of our Impact Global Processes for Impact Measurement.
National Institute of Statistics of Rwanda
Preliminary Key Findings Zambia Demographic and Health Survey.
Gender and MDGs in the Arab Region Lotta Persson Statistician Population and Welfare Statistics Statistics Sweden.
Samuel Clark Department of Sociology, University of Washington Institute of Behavioral Science, University of Colorado at Boulder Agincourt Health and.
HIGHLIGHTS OF MDGs & MKUZA II IN ZANZIBAR
New targets and indicators: an overview of metadata and data preparation for the global monitoring Workshop on MDG Monitoring United Nations Statistics.
© Aahung 2004 Millennium Development Goals Expanding the Agenda:
Colin Mathers World Statistics Day, 20 October 2010
United Nations Statistics DivisionRegional Workshop on Integrating a Gender Perspective in the Production of Statistics, Amman, Jordan, 1-4 December 2014.
Rwanda Demographic and Health Survey – Key Indicators Results.
© 2004 Population Reference Bureau Female Genital Cutting, by Age Prevalence Among Younger and Older Women Percent Source: DHS STATcompiler: accessed online.
1 Investing in the future: Addressing challenges faced by Africa's young population. 40 th Session of the Commission on Population and Development Nyovani.
Urban American Indian and Alaska Native Health Indicator Graphs September 2010 Urban Indian Health Institute Seattle Indian Health Board.
Kenya’s Youth Today From the 2003 Kenya Demographic and Health Survey.
Trends in Health and Aging Major Trends and Patterns in Health and Aging July 2007.
Integrating a gender perspective into health statistics United Nations Statistics Division.
Multiple Indicator Cluster Surveys Data Interpretation, Further Analysis and Dissemination Workshop HIV/AIDS and sexual behaviour.
Child deaths: Causes and epidemiological dimensions Robert E. Black, M.D., M.P.H. Johns Hopkins Bloomberg School of Public Health.
Health and Nutrition Bratislava, 8-10 May 2003 Angela Me Statistical Division UNECE.
Talk Presenter, NYHQ HIV/AIDS Unit9-Sep-15 Orphans in Namibia Urgent Action for Children on the Brink.
Gender Statistics & Human Rights Reporting Regional Workshop 4-8, 2014 Tonga 1.
Women’s Health in Massachusetts Highlights from the Massachusetts Behavioral Risk Factor Surveillance System (BRFSS): Health Survey Program Bureau.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Bhutan.
Together for Health is funded by the United States Agency for International Development and implemented by JSI Research & Training Institute, Inc. in collaboration.
South Service Planning Area (SPA 6) and King-Drew Medical Center Health Needs Planning Data 2004 Compiled by LAC DHS Office of Planning, 2004.
1 HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka.
Integrating a gender perspective into health statistics Workshop on Integrating a Gender Perspective into National Statistics, Kampala, Uganda December.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka Last updated: December 2014.
Demographic Trends and Prospects Presented by: Eduard Bos Health, Nutrition, and Population The World Bank John Bongaarts, Population Council, contributed.
Primer on Monitoring and Evaluation. The 3 Pillars of Monitoring and Evaluation  Identifying the Performance Indicators  Collecting information using.
BRINGING GENDER ISSUES INTO HEALTH STATISTICS THE MALAWI EXPERIENCE Kingsley Manda National Statistical Office MALAWI Government of Malawi National Statistical.
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Further Analysis: Youth and Adolescents MICS4 Data dissemination and.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Pacific Region (without Papua New Guinea)
HIV/AIDS Epidemic Disproportionately Affects Women.
Gender Statistics on Health Linda Hooper UNECE Statistical Division.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Papua New Guinea Last updated: July 2015.
1 HIV and AIDS Data Hub for Asia-Pacific Review in slides Maldives.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Malaysia.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Afghanistan Last updated: December 2014.
KEY INDICATORS SURVEY (KIS) TOOL. KIS Tool Objective Principally developed to meet M&E needs for data for small areas—regions, districts, project catchment.
1 HIV and AIDS Data Hub for Asia-Pacific Review in slides Nepal.
Sexual Risk Behaviors. Percentage of High School Students Who Ever Had Sexual Intercourse, by Type of Grades Earned (Mostly A’s, B’s, C’s or D’s/F’s),
2007 Youth Risk Behavior Survey Results Alaska High School Survey Grades 9-12 Alaska Division of Public Health Weighted Data Sexual Behaviors.
MDG 4 Target: Reduce by two- thirds, between 1990 & 2015, the mortality rate of children under five years.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Maldives Last updated: December 2014.
Integrating a gender perspective into environment statistics Workshop on Integrating a Gender Perspective into National Statistics, Kampala, Uganda 4 -
HIV and AIDS Data Hub for Asia-Pacific Review in slides India.
TUVALU DEMOGRAPHIC AND HEALTH SURVEY OUTLINE  Background  Questionnaire  Sensitive questions  Training  Indicators.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Bhutan Last updated: January 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Afghanistan Last updated: January 2016.
Measuring the population: importance of demographic indicators for gender analysis Workshop Title Location and Date.
Chapter 7 Smoking and occupational exposures as risk factors for asthma.
2010 World Programme on Population and Housing Censuses Workshop on Civil Registration and Vital Statistics in the UNESCWA Region Cairo, Egypt, December.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Timor-Leste.
Multiple Indicator Cluster Survey in Kazakhstan (fourth round) Astana The Agency of Statistics of the Republic of Kazakhstan.
2015 Afghanistan Demographic and Health Survey (AfDHS) Key Indicators Report.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka.
Adults living with HIV (15+) (thousands) [5] Children living with HIV (0-14) (thousands) [5] Pregnant.
Describing health baselines Session 6 Health in SEA.
2014 Kenya Demographic and Health Survey (KDHS) Key Indicators.
Dr. Farhat R Malik Assistant Professor Community Health Sciences.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Pakistan Last updated: November 2014.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Japan.
Presentation on issues and data requirements
E-learning course registration-and-vital-statistics-systems- basic-level-self-paced-format.
Bhutan.
Presentation transcript:

1 Arman Bidarbakhtnia Statistician, UNSIAP

Areas of focus Health and nutrition of childrenMaternal healthMortality and causes of deathHIV and AIDSHealth risks related to life style 2

Health and nutrition of children 3 Gender issues: -Survival chance: Non-biological factors -Health care discrimination -Nutritional status Data needs (by sex) : -Death (under 1&5) -Ever born & surviving (by age of mother) -Vaccination -Symptoms -Health exp -Nutritional status Measurement: -Reporting error/bias -Rare events (wide CIs) -Age disaggergation (Nutritional status; age 2)

Under 5 mortality rate per 1,000 live birth by sex, , and 2005 – 2010 (Source: UN 2010) 4

Maternal Health 5 Gender issues: -Outcome: mortality -Access to prenatal care -Access to skilled personnel -Who are at more risk? Data needs ( for at least two points in time) : -Maternal death -Live birth -Visits to health facilities -Contraceptive use -Attendance by skilled personnel Measurement: -Misclassification -Rare events (wide CIs) -Concepts (types of contraceptive) -Underreporting (abortions) -Disaggregation (age, m.s., edu, geo, eco, hh,..)

Maternal Mortality Ratio (MMR), 2005 Source: WHO, Maternal Mortality in 2005 (2007) 6

Mortality and causes of death 7 Gender issues: -Outcome: Life expectancy -Resilience (M vs F) -Main causes of death (M vs F) -Cancer: distribution Data needs (by age and sex) : -Death -Cause of death -Population distribution Measurement: -Underreporting (sex-selective) -Misreporting & misclassification (cause of death)

Source: UN

HIV and AIDS 9 Gender issues: -Risk: F vs M -Knowledge: M vs F -Youth: condom use (M vs F) Data needs (by age and sex) : -Prevalence -Death -HIV testing -Access to medicine -High risk sexual behavior -Knowledge Measurement: -Sensitive topic -Sex bias in HIV testing in surveys -Bias towards socially desirable answers

Percentage of women among HIV-positive adults by region, 2001 and 2007 Source: UNAIDS, Report on the Global AIDS Epidemic (2008) 10

Health risks related to life style 11 Gender issues: -Cultural/social habits: Drinking & smoking, … -Obesity -Exposure to indoor pollution (F) -Exposure to injuries (M) Data needs (by age and sex) : -Alcohol consumption -Smokers -Obese population -Physical activities -Types of fuels -Injuries Measurement: -Limited information on physical activities -Difficulty in identifying risk for different levels of alcohol consumption

Source: UN

Sources of data  Civil Registration and Vital Statistics (CRVS)  Censuses  Household surveys: DHS, MICS, HIES, WHS, TUS 13