Selected health indicators for Free State and a reflection on how they relate to the MDGs ’Maletela Tuoane-Nkhasi Statistics South Africa Symposium on.

Slides:



Advertisements
Similar presentations
MILLENNIUM DEVELOPMENT GOALS Beyond A Comprehensive approach All the MDG influence health, and health influences all the MDGs –The MDGs are inter-dependent.
Advertisements

Thematic Forum 3: Health from a Gender Perspective Heather Barclay International Planned Parenthood Federation.
Gender and MDGs in the Arab Region Lotta Persson Statistician Population and Welfare Statistics Statistics Sweden.
Health during Infancy & Childhood. CHILD HEALTH NURSING: Pediatric nursing also focuses on the healthy growth and development of a child not only at a.
2.4 ICD-9-CM Chapter-Specific Guidelines Chapter guidelines refer to the chapters in the ICD-9 manual The ICD-9 manual contains 17 chapters plus sections.
Chapter Ten Child Health.
HIGHLIGHTS OF MDGs & MKUZA II IN ZANZIBAR
Chapter 15 Newborn (Perinatal) Guidelines ( )
Burden of Communicable, Maternal and Perinatal Diseases in Gansu, China Wangxi Hai Northwest University for Nationalities West of China Institute of Environment.
Infant Mortality: Annual number of children under 1 year of age who die per 1,000 live births Under 5 Mortality/5 yr Child Survival Life Expectancy at.
Causes of Death in South Africa Advance release of recorded causes of death Launch Presentation 21 November 2002.
REPRODUCTIVE HEALTH ISSUES IN PAKISTAN
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.
Perspectives of Pediatric Nursing By Dr. Nahed Said Al- nagger.
Mortality Rates LEARNING OBJECTIVES 1.TO DEFINE THE DIFFERENT MEASUREMENTS OF MORTALITY 2.TO IDENTIFY THE DIFFERENT GLOBAL MORTALITY TRENDS.
Uses of Population Censuses and Household Sample Surveys for Vital Statistics in South Africa United Nations Expert Group Meeting on International Standards.
Lecture 3: Data sources Health inequality monitoring: with a special focus on low- and middle-income countries.
The Health of The Bronx and New York City Thomas R. Frieden, M.D., M.P.H. Commissioner, New York City Department of Health and Mental Hygiene April 24,
Pakistan.
Andy Haines. From a baseline of 1990 by 2015  Reduce the share of malnourished children by 1/2  Cut child death rate by 2/3  Lower maternal deaths.
Skilled attendant at birth mDG 5, target 5A, Indicator 5.2
Mortality rates Ashry Gad Mohamed Prof. Ashry Gad Mohamed.
BC Jung A Brief Introduction to Epidemiology - IV ( Overview of Vital Statistics & Demographic Methods) Betty C. Jung, RN, MPH, CHES.
Integrating a gender perspective into health statistics United Nations Statistics Division.
Health during Infancy & Childhood Islamic University Nursing college.
1 Excess female mortality within the reproductive age group in South Africa Presentation To Global Forum on Gender Statistics October 2010 Manila,
International Health NUR 410 Community Focused Nursing Catherine T. Horat.
A Valuable Resource: Health Sector as a Beneficiary and Contributor to CRVS Systems.
Health and Nutrition Bratislava, 8-10 May 2003 Angela Me Statistical Division UNECE.
____________________________________ Commonwealth Foundation Partner’s Forum 9 th Commonwealth Women’s Affairs Ministers’ Meeting Gender issues in the.
WHEN May |1 | World Health Editors Network Progress towards the health-related Millennium Development Goals Carla Abou-Zahr, Ties Boerma Fiona Gore,
Health Determinants, Measurements, and Trends
Measuring Years of Healthy Life: Use of Summary Measures in The Healthy People Initiative Ritu Tuteja, MPH National Center for Health Statistics.
 Child death rates are decreasing, but not quickly enough  Many developed countries have managed to decrease their under-five mortality rates  These.
Terms: Epidemiologic Transition Gaziano 2005 Stage 1Malnutrition and infectious diseases are the leading causes of mortality and morbidity Stage 2Improved.
MCH Indicators.
International Health Policy Program -Thailand Lesson Learnt from the Estimate of Maternal Death in Thailand Kanjana Tisayaticom Sudarat Tantivivat Phusit.
Under Five Mortality Patterns in an Urban Area: A Hospital Based Study in Dar es Salaam Tanzania ( ) Kishimba R, Mohamed I 1, Mohamed MA 1,2,Mghamba.
Author(s): Jody Lori, PhD, CNM, FACNM, 2010 License: Unless otherwise noted, this material is made available under the terms of the Creative Commons Attribution.
Perinatal Health: From a women’s health lifespan perspective Diana Cheng, M.D. Medical Director, Women’s Health Center for Maternal and Child Health 1.
Global Health Assessment Strategies Ricardo Izurieta.
1 Workshop on Improving the Integration of a Gender Perspective into Official Statistics Chiba, Japan to Gender Statistics in Myanmar.
SOUTH WEST ZONE MEETING MWANZA PRESENTION 6 th December, 2013.
WORLD HEALTH ORGANIZATION Source: World Health Report 2000 JS 3/01 WHO Statistics, 2000 Dr. Rüdiger Krech A/Regional Adviser, Healthy Ageing World Health.
Burden of disease: Concepts and applications. Session Aims 1.to introduce the concept “burden of disease” 2.to examine patterns and trends in mortality.
MILLENIUM DEVELOPMENT GOALS Board review Notes Dr. Theresita R. Lariosa.
ICTs IN HEALTHCARE & MDGs National Conference on Health Reforms and Social Sciences: Challenges Ahead By National Institute of Health & Family Welfare.
Chapter 2 Health During Infancy Child Hood Dr. Areefa Albahri.
The South Africa I know - the home I understand 1 World Statistics Day and MDGs Presentation To Parliament Pali Lehohla Statistician-General South Africa.
Similarities and differences between developing countries and Australia Chapter 8.2.
Perinatal Mortality in Rift Valley Provincial General Hospital between May and October 2014 Mark Maugo FELTP University of Nairobi MBChB Level V.
A-50 Table 7.1: U.S. Population Trends and Projections (1) by Age, 1980 – 2050 Source: U.S. Department of Commerce, Bureau of the Census. Projections.
The Medical Research Council Presentation to the Portfolio Committee on Science and Technology March 16, 2005
Contributions to Life Expectancy at Birth Change in Life Expectancy at Birth Total change Change attributable to: Infant.
A-52 Table 7.1: U.S. Population Trends and Projections by Age, 1980 – 2060 (1) Source: U.S. Department of Commerce, Bureau of the Census. Projections.
Comparing Australia with Developing Countries Morbidity, life expectancy, infant mortality, adult literacy and immunisation rates can be used to compare.
2014 Kenya Demographic and Health Survey (KDHS) Key Indicators.
Delmar Learning Copyright © 2003 Delmar Learning, a Thomson Learning company Unit II Health Care: National and International Perspectives.
Outline of Current Situation Survey on HIV/AIDS (Proposal) Ms. Keiko Dozono Director for AIDS and Emerging Infectious Disease Control Health and Safety.
THE VITAL NEED FOR DEATH REGISTRATION – LESSONS FROM SOUTH AFRICA Pam Groenewald and Debbie Bradshaw SAMRC BURDEN OF DISEASE RESEARCH UNIT 21 ST INTERNATIONAL.
BASIC HEALTH INDICATORS CHANGES AFTER NATURAL DISASTER
Vital statistics in obstetrics.
The Medical Research Council
Maternal and child mortality
Measuring Health Status
Social and Health issues of Immigration
Importance OF CAUSE OF DEATH DATA
WHO Statistics, 2000 Dr. Rüdiger Krech
The Medical Research Council
Presentation transcript:

Selected health indicators for Free State and a reflection on how they relate to the MDGs ’Maletela Tuoane-Nkhasi Statistics South Africa Symposium on evidenced based decision-making Bloemfontein, October 2013

Contents of presentation  Government priorities on health  Data sources of health statistics  Selected health indicators for Free State o Infant mortality o Under-five mortality o Maternal mortality o Communicable diseases o Non-communicable diseases  Concluding remarks

Government priorities on health  Three Millennium Development Goals related to health  “A long and healthy life for all South Africans” o Increasing life expectancy o Decreasing maternal and child mortality o Combating HIV and AIDS and decreasing the burden of disease from tuberculosis  The National Development Plan – 2030 o Increase life expectancy at birth to 70 years o Progressively improve tuberculosis prevention and cure o Reduce maternal, infant and child mortality o Significantly reduce prevalence of non-communicable diseases o Reduce injury, accidents and violence by 50% from 2010 levels

 Censuses  Population-based surveys  Health facility records  Mortuary records  Demographic surveillance sites  Civil registration system Data sources on health statistics

 There is no dedicated health survey that is conducted by Stats SA  Limited/selected health statistics derived from the following sources: o Censuses / Surveys: – General Household Survey – Living Conditions Survey – Income and Expenditure Survey – Community Survey – Population censuses o Administrative source: – Death notification system Data sources on health statistics – Stats SA

Selected health indicators for Free State  MDG indicators o Infant mortality o Under-five mortality o Maternal mortality  Selected communicable diseases o Flu or acute respiratory tract infections o Diarrhoea o TB o HIV/AIDS  Selected non-communicable diseases o Asthma o Diabetes o Hypertension o Arthritis o Injuries

Analyses on MDG indicators  Data source o Mortality and causes of death data from South Africa’s civil registration system o This source was used for monitoring Goals 4 and 5 in the 2013 MDG report  Limitations with the data o Incomplete registration of death o Ill-defined causes of death o Misclassified causes of death  What is presented o Absolute number and percentage distribution to show trends o Methodology of adjusting for incomplete registration of death at provincial level under review

Infant mortality

Infant deaths by age: Free State,

Infant deaths by district: Free State,

10 leading causes of death for infants: Free State, 2006 & 2010 Underlying cause of death RankNo.%RankNo.% Influenza and pneumonia , ,1 Intestinal infectious diseases , ,1 Resp. & cardiovascular disorders specific to the perinatal period , ,1 Disorders related to length of gestation and fetal growth ,661464,2 Malnutrition ,541624,7 Protozoal diseases ,3……… Other disorders originating in the perinatal period ,151554,5 Other acute lower respiratory infections ,98661,9 Infections specific to the perinatal period 9 991,971063,0 Certain disorders involving the immune mechanism10821,69611,8 Foetus & newborn affected by maternal factors & by complications of pregnancy, labour and delivery………10471,4

Causes of deathRank Fezile Dabi Rank Lejwe- leputs wa RankManga -ung RankThabo Mof. RankXha- riep Intestinal infectious diseases123,9123,4121,4117,0310,1 Respiratory and cardiovascular disorders specific to the perinatal period 216,3317,6314,749,9113,7 Influenza and pneumonia315,5220,9221,2213,5212,6 Malnutrition44,9… 45,855,054,2 Other disorders originating in the perinatal period 54,254,3… 36,046,1 Infections specific to the perinatal period … … 54,5… … Disorders related to length of gestation and fetal growth … 47,4… … … All deaths leading causes of death for infant by district: Free State, 2010

Under-five mortality

Under-five deaths by age: Free State,

Under-five deaths by district: Free State,

10 leading causes of death for children under-five years: Free State, 2006 & 2010 Underlying cause of death RankNo.%RankNo.% Influenza and pneumonia , ,8 Intestinal infectious diseases , ,9 Respiratory and cardiovascular disorders specific to the perinatal period , ,3 Malnutrition ,042856,2 Disorders related to length of gestation and fetal growth ,561473,2 Protozoal diseases ,1……… Certain disorders involving the immune mechanism ,881032,2 Other acute lower respiratory infections ,810831,9 Tuberculosis ,89891,9 Other disorders originating in the perinatal period ,651563,4 Infections specific to the perinatal period ………71062,3

Causes of deathRank Fezile Dabi Rank Lejwe- leputs wa RankManga -ung RankThabo Mof. RankXha- riep Intestinal infectious diseases 124,8122,939,9125,4114,5 Influenza and pneumonia 219,6221,5112,2215,2213,1 Respiratory and cardiovascular disorders specific to the perinatal period 313,9311,1210,2312,137,5 Disorders related to length of gestation and fetal growth 45,8…………………… Malnutrition 54,646,346,146,746,4 Infections specific to the perinatal period ……53,4…………54,6 Other disorders originating in the perinatal period …………54,6………… Certain disorders involving the immune mechanism ……………………53,1 All deaths leading causes of death for children under-five years by district: Free State, 2010

Maternal mortality

Maternal deaths: Free State,

Maternal deaths by district: Free State,

Causes of maternal deaths: Free State, 2010 Causes of maternal deaths Number of deaths % Other maternal diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium 3525,4 Maternal infectious and parasitic diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium 2719,6 Eclampsia107,3 Postpartum haemorrhage107,3 Obstetric embolism85,8 Complications of the puerperium, not elsewhere classified75,1 Gestational [pregnancy-induced] hypertension with significant proteinuria64,4 Puerperal sepsis64,4 Gestational [pregnancy-induced] hypertension without significant proteinuria53,6 Ectopic pregnancy32,2 Maternal care for other conditions predominantly related to pregnancy32,2 Obstetric death of unspecified cause32,2 Other maternal deaths1510,9 Total138100

Other health indicators  Data source o General household survey, 2012 o Flu, diarrhoea and TB – based on questions on whether individuals suffered from these illnesses in the month prior to the survey o Chronic conditions – if individuals were informed by a medical practitioner or nurse if they suffered from the conditions  Limitations with the data o Self-reported o Survey undertaken between July and September – affects seasonal conditions  What is presented o Percentage distributions by age and sex

Communicable diseases

Free State 46,9% Age group 48,3% 46,0%

Free State 3,4% Age group 3,6% 3,3%

Free State 2,4% 4,7% 1,0% Age group

Free State 3,0% 2,3% 3,6% Age group

Non-communicable diseases

Free State 1,5% 1,3% 1,6% Age group

Free State 5,4% 4,2% 6,5% Age group

Free State 19,7% 12,2% 26,3% Age group

Free State 5,1% 2,3% 7,5% Age group

Free State 0,3% 0,1% 0,4% Age group

Injuries

0,33% of injuries 0,34% of injuries Percentage of people who suffered from specific injuries

Concluding remarks  Stats SA has some information available to monitor health indicators at provincial and sub-provisional level o Levels and trends o Data have limitation  Need to undertake a national health survey (Demographic and Health Survey) o Required to provide the much-needed health information in the country, especially at sub-national level  Monitoring health-related MDG indicators at province level requires concerted efforts by relevant stakeholders o Use of current information o Necessary adjustments on the data o Identification of other data sources to complement available information