Data Sources, Assessment and Adjustments for MDG Indicators 5.3, 5.4 and 5.6 United Nations Population Division/DESA 8-12 November, 2010 UNSD/ECE Workshop.

Slides:



Advertisements
Similar presentations
Contraceptive Prevalence MICS3 Data Analysis and Report Writing.
Advertisements

Unmet Need MICS3 Data Analysis and Report Writing Workshop.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Questionnaire for Individual Women: Child Mortality.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Questionnaire for Individual Women: Unmet Need and Desire for Last.
National Institute of Statistics of Rwanda
Gender and MDGs in the Arab Region Lotta Persson Statistician Population and Welfare Statistics Statistics Sweden.
Goal 5: Improve maternal health Target 5b: Achieve, by 2015, universal access to reproductive health 5.3 Contraceptive prevalence rate 5.4 Adolescent birth.
By Statistics Indonesia and Ministry of Health Indonesia Workshop on MDGs Monitoring 2015 and Beyond UN-ESCAP, Bangkok, 9-13 July 2012 Workshop on MDGs.
3 August 2010 Contraceptive Market Analysis in Nicaragua A Tool to develop Alliances and Improve Commodity Security.
Unmet need for family planning
United Nations Sub-Regional Workshop on Census Data Evaluation Phnom Penh, Cambodia, November 2011 Evaluation of Fertility Data Collected from Population.
Country Data workshop: Building better dissemination systems for national development indicator Discrepancy analysis Lao PDR Presented by Vilaysook Sisoulath.
Latino fathers’ childbearing intentions: The view from mother-proxy vs. father self-reports Lina Guzman, Jennifer Manlove, & Kerry Franzetta.
New targets and indicators: an overview of metadata and data preparation for the global monitoring Workshop on MDG Monitoring United Nations Statistics.
Healthy Timing and Spacing of Pregnancies in Asia, and Haiti Leanne Dougherty, MPH Knowledge Management Services Project January 11,
United Nations Statistics DivisionRegional Workshop on Integrating a Gender Perspective in the Production of Statistics, Amman, Jordan, 1-4 December 2014.
Programme session 7 Presentation by Kaobari Matikarai, SPC Statistics for Development Division INDICATORS SOURCED FROM DEMOGRAPHIC HEALTH SURVEY (DHS)
Rwanda Demographic and Health Survey – Key Indicators Results.
Multiple Indicator Cluster Surveys Data Interpretation, Further Analysis and Dissemination Workshop Overview of Data Quality Issues in MICS.
Uses of Population Censuses and Household Sample Surveys for Vital Statistics in South Africa United Nations Expert Group Meeting on International Standards.
Multiple Indicator Cluster Surveys Data Interpretation, Further Analysis and Dissemination Workshop Maternal and Reproductive Health.
Lecture 3: Data sources Health inequality monitoring: with a special focus on low- and middle-income countries.
MEASURING CONTRACEPTIVE FAILURE James Trussell Office of Population Research Princeton University.
Data and Methodology to Estimate Child Mortality Danzhen You UNICEF Dec 8, 2009 Prepared for the ESCWA Workshop in Beirut, Lebanon.
Kenya’s Youth Today From the 2003 Kenya Demographic and Health Survey.
Office of Global Health and HIV (OGHH) Office of Overseas Programming & Training Support (OPATS) Maternal and Newborn Health Training Package Session 3:
BC Jung A Brief Introduction to Epidemiology - IV ( Overview of Vital Statistics & Demographic Methods) Betty C. Jung, RN, MPH, CHES.
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Maternal and Reproductive Health MICS4 Data Dissemination and Further.
Multiple Indicator Cluster Surveys Data Interpretation, Further Analysis and Dissemination Workshop Mortality.
United Nations Expert Group Meeting on International Standards for Civil Registration and Vital Statistics Systems, June 2011, New York Collection,
0 Child Marriage Key Findings and Implications for Policy Edilberto Loaiza UNFPA, New York Vienna, November 25, 2013.
Population Reference Bureau
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Interpreting Field Check Tables.
© 2006 Population Reference Bureau Rising Family Planning Use, Developing Countries Married Women 15 to 49 Using Any Method Percent Source: Population.
Data Reconciliation Issues Neda Jafar Workshop on MDG Data Reconciliation: Employment Indicators July, Beirut Workshop on MDG Data.
Together for Health is funded by the United States Agency for International Development and implemented by JSI Research & Training Institute, Inc. in collaboration.
EXECUTIVE SUMMARY OF THE 2002 CPS FIELD WORKERS INTERVIEWED 2,698 MAURITIAN RESPONDENTS 500 RODRIGUAN RESPONDENTS IMPORTANT EVALUATION TOOL FOR IDENTIFYING.
Workshop on the Improvement of Civil Registration and Vital Statistics in the SADC Region, Blantyre, Malawi, 1 – 5 December 2008 Vital statistics and their.
Workshop on Improvement of Civil Registration and Vital Statistics in SADC Region Blantyre, Malawi, December 2008 Compilation of Vital Statistics.
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Maternal and Reproductive Health MICS4 Data Dissemination and Further.
Focus Area 9 Family Planning Progress Review December 8, 2004.
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Further Analysis: Youth and Adolescents MICS4 Data dissemination and.
Workshop on MDG Monitoring Kampala, Uganda, 5-8 May 2008 Reconciling international and national sources for effective global monitoring Francesca Perucci.
Vital Statistics (Population Census, Georgia 2002) 4,371,535 (total) 2,061,753 (male) 915, 944 (under 15 years of age)
Data Triangulation Applications in Population and Health Programs- -The Global Experience.
United Nations Economic Commission for Europe Statistical Division UNECE and MDG-Monitoring: Database and regional indicators UNECE.
2010 World Programme on Population and Housing Censuses Workshop on Civil Registration and Vital Statistics in the UNESCWA Region Cairo, Egypt, December.
Family Planning In Jordan
Measuring the population: importance of demographic indicators for gender analysis Workshop Title Location and Date.
2010 World Programme on Population and Housing Censuses Workshop on Civil Registration and Vital Statistics in the UNESCWA Region Cairo, Egypt, December.
Workshop on MDG, Bangkok, Jan.2009 MDG 3.2: Share of women in wage employment in the non-agricultural sector National and global data.
2015 Afghanistan Demographic and Health Survey (AfDHS) Key Indicators Report.
2014 Kenya Demographic and Health Survey (KDHS) Key Indicators.
FP Options for Extended Postpartum Dr. Bernabe Marinduque 20 March 2014.
Ethiopia Demographic and Health Survey 2011 Family Planning and Fertility Preferences.
Dr. Farhat R Malik Assistant Professor Community Health Sciences.
WHY CONTRACEPTION FAILS James Trussell Office of Population Research Princeton University.
Follow along on Twitter!
Fertility: Concepts and Measures
Fertility and the family
Workshop on MDG Monitoring United Nations Statistics Division
United Nations Statistics Division DESA, New York
The ‘What’ and ‘Why’ of Vital statistics
United Nations Statistics Division DESA, New York
Cheryl Chriss Sawyer Population Affairs Officer, Mortality Section
2011 POPULATION AND HOUSING CENSUS OF TURKEY
Healthy Timing and Spacing of Pregnancies
Demographic Analysis and Evaluation
Workshop on MDG Monitoring United Nations Statistics Division
Workshop on MDG Monitoring United Nations Statistics Division
Presentation transcript:

Data Sources, Assessment and Adjustments for MDG Indicators 5.3, 5.4 and 5.6 United Nations Population Division/DESA 8-12 November, 2010 UNSD/ECE Workshop on MDG Monitoring, Geneva

MDG 5. Improve maternal health Target 5.B: Achieve, by 2015, universal access to reproductive health –Indicator 5.3 Adolescent birth rate –Indicator 5.4 Contraceptive prevalence rate –Indicator 5.6 Unmet need for family planning

Points addressed per indicator Definition and methods of computation Data sources and availability Data limitations, including comparability No attempt to provide estimates when country data are not available, except for the estimation of regional and global averages.

Indicator 5.3 Adolescent birth rate

Indicator 5.3 Adolescent birth rate Definition The annual number of births to women 15 to 19 years of age per 1,000 women in that age group. Represents the risk of childbearing among adolescent women 15 to 19 years of age. Also referred to as the age-specific fertility rate for women aged

Indicator 5.3 Adolescent birth rate Methods of computation Generally computed as a ratio. –Numerator is the number of live births to women 15 to 19 years of age –Denominator is an estimate of exposure to childbearing by women 15 to 19 years of age. Numerator and denominator are calculated differently for civil registration, survey and census data.

Indicator 5.3 Adolescent birth rate Civil registration data Civil registration data used if registration systems cover 90 per cent or more of all live births. –Numerator is the registered number of live births born to women 15 to 19 years of age during a given year –Denominator is the estimated or enumerated population of women aged 15 to 19.

Indicator 5.3 Adolescent birth rate Civil registration data Numerator (number of births): –First priority is data reported by National Statistical Offices to the United Nations Statistical Division (UNSD). –If not available or present problems, data from regional statistical units or directly from National Statistical Offices.

Indicator 5.3 Adolescent birth rate Civil registration data Denominator (number of women aged 15 to 19) –First priority is the latest revision of World Population Prospects produced by the UN Population Division (UNPD) in accordance with the recommendation of the 11th IAEG meeting on MDG indicators. –In cases where the numerator does not cover the complete de facto population, an alternative appropriate population estimate is used if available.

Indicator 5.3 Adolescent birth rate Civil registration data When either the numerator or denominator is missing, the direct estimate of the rate produced by the National Statistics Office is used. When the numerator and denominator come from two different sources, they are listed in that order.

Indicator 5.3 Adolescent birth rate Survey or census data Household survey or census data used if no civil registration system or where system coverage is lower than 90 per cent of all live births. –Numerator is births to women that were 15 to 19 years of age at the time of the birth during a reference period before the interview. –Denominator is person-years lived between the ages of 15 and 19 by the interviewed women during the same reference period.

Indicator 5.3 Adolescent birth rate Survey data Reference period corresponds to the 5 years preceding the survey (whenever possible). Reported observation year corresponds to the middle of the reference period. For some surveys, no retrospective birth histories are available and the estimate is based on the date of last birth or the number of births in the 12 months preceding the survey.

Indicator 5.3 Adolescent birth rate Census data Census provides both the numerator and the denominator for the rates. Numerator includes data on date of last birth or the number of births in the 12 months preceding the enumeration. In some cases, the rates based on censuses are adjusted for underregistration based on indirect methods of estimation. For some countries with no other reliable data, the own-children method of indirect estimation provides estimates of the adolescent birth rate for a number of years before the census.

Indicator 5.3 Adolescent birth rate Obtaining data Civil registration data: –Data on births or the adolescent birth rate obtained from country-reported data from UNSD or regional Statistics Divisions or statistical units (ESCWA, ESCAP, CARICOM, SPC). –Population figures obtained from the last revision of the UNPD World Population Prospects (and only exceptionally from other sources).

Indicator 5.3 Adolescent birth rate Obtaining survey data Published reports from Demographic and Health Surveys (DHS), Reproductive Health Surveys (RHS), MICS and other nationally sponsored surveys. First priority, estimates available in the survey report. In no reported figure and if microdata available, estimates are produced by UNPD.

Indicator 5.3 Adolescent birth rate Obtaining census data First priority, estimates are directly obtained from census reports. Adjusted rates are only used when reported by the National Statistical Office. In other cases, the adolescent birth rate is computed from tables on births in the preceding 12 months by age of mother, and census population distribution by sex and age.

Indicator 5.3 Adolescent birth rate Data availability In the vast majority of countries there are two or more data points available. ABR -- Number of countries or areas 1986 or later 2005 or later No data380 One data point651 Two or more data points21593 Any data

Indicator 5.3 Adolescent birth rate Data availability Time lag between the reference year and the actual production of the data series. Civil registration: Data have to be distributed by the National Statistical Offices to UNSD or regional offices. Survey data: –Reference year about 2.5 years before the survey. –Delay of ~ 1-3 years between date of interview and release of the survey report.

Indicator 5.3 Adolescent birth rate Data availability—how recent?

Indicator 5.3 Adolescent birth rate Data availability by type Record type Number of data points Per cent of data points Number of countries Average number of data points per country Vital registration185081% Census844%671.3 Survey31814%933.4 Own-children estimate (from census or survey data)301%47.5 Other10%11 Total %3067.5

Indicator 5.3 Adolescent birth rate Data limitations Civil registration data: –Completeness of birth registration –Treatment of infants born alive but dead before registration or within the first 24 hours of life –Quality of the reported information relating to age of the mother –Inclusion of births from previous periods. –Population estimates may suffer from limitations connected to age misreporting and coverage (for national estimates of ABR).

Indicator 5.3 Adolescent birth rate Data limitations Survey and census data: –Age misreporting –Birth omissions –Misreporting the date of birth of the child –Sampling variability (surveys)

Indicator 5.3 Adolescent birth rate Data points—which to use? 1.Registration data: UNSD (number of births if vital registration data considered reliable and complete-- Table E04 Live births by age of mother and sex of child) and World Population Prospects (WPP) recent revision (population of women 15-19) 2.Registration data: National statistics (if data considered reliable and complete) and WPP 3.Registration data: EUROSTAT, CARICOM, ESCWA (if data considered reliable and complete) and WPP 4.National estimates of ABR based on registration data (if data considered to be reliable and complete) 5.Survey data from Demographic and Health Surveys (DHS)—Final report (reference period 0-4 years before survey)

Indicator 5.3 Adolescent birth rate Data points—which to use? 5. Survey data from Demographic and Health Survey (DHS)—Preliminary report 6. Survey data from other national surveys 7. Census data from UNSD: Other estimates in E04 Table (“births in last 12 months before census”) and UNSD (same census for the population of women 15-19) 8. Census data from all other sources: Adjusted have preference over unadjusted, including research articles 9. Own-children estimate: Both from survey and census data, including research articles

Indicator 5.3 Adolescent birth rate MDG and national estimate differences Civil registration data: –Different denominators –Inclusion of births to women under 15 years of age –WPP population estimate vs. other data for denominator

Indicator 5.3 Adolescent birth rate MDG and national estimate differences Survey data: –Discrepancies on the dating and the actual figure if a different reference period is being used (3 year vs. 5 year) –For countries where data is scarce, reference periods located more than 5 years before the survey might be used. –Only one source per year and country. Precedence given to survey programme conducted most frequently at country level, other survey programmes using retrospective birth histories, census and other surveys (in that order).

Indicator 5.4 Contraceptive prevalence rate

Indicator 5.4 Contraceptive prevalence Definition The percentage of women married or in- union aged 15 to 49 who are currently using, or whose sexual partner is using, at least one method of contraception, regardless of the method used.

Indicator 5.4 Contraceptive prevalence Definition: Methods Any use, “modern method” use and condom Modern methods include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods include the rhythm (periodic abstinence), withdrawal, lactational amenorrhea method (LAM) and folk methods.

Indicator 5.4 Contraceptive prevalence Data Nationally-representative sample survey data Contraceptive prevalence is measured at the time of interview. Administrative data sources not used because of difficult comparability

Indicator 5.4 Contraceptive prevalence Data availability In the majority of countries there are two or more data points available, but many lack recent data. CP -- Number of countries or areas 1986 or later 2005 or later No data39124 One data point4482 Two or more data points14118 Any data

Indicator 5.4 Contraceptive prevalence Data availability Time lag of one and four years between date of survey interview and publication of survey report. When interviews are held in two different years, the latest year is given as the reference year. On average, the surveys are undertaken every three to five years.

Indicator 5.4 Contraceptive prevalence Obtaining survey data Published reports from –Demographic and Health Surveys (DHS) – Reproductive Health Surveys (RHS) – Multiple Indicator Cluster Surveys (MICS) – Fertility and Family Surveys (FFS) –Other nationally sponsored surveys

Indicator 5.4 Contraceptive prevalence Obtaining survey data If no accessible published survey report, then other published analytic reports. If clarification needed, contact made with survey sponsors or authoring organization.

Indicator 5.4 Contraceptive prevalence Limitations of data comparability Range of contraceptive methods included Multi-method use (e.g., pill and condom) Characteristics of persons for whom contraceptive prevalence is estimated (base population) –Age range –Sexual activity status –Marital or union status

Indicator 5.4 Contraceptive prevalence Limitations of data comparability Time frame to used to assess contraceptive prevalence –Methods used “currently” –Methods used at last sex –Methods used in last (1, 2, 12) months

Indicator 5.4 Contraceptive prevalence Limitations of data comparability Probing questions (to ensure respondent understands meaning of different contraceptive methods) Sampling variability, especially when contraceptive prevalence measured –for a sub-group (according to method, age-group, education level, place of residence) –to analyze trends over time

Indicator 5.4 Contraceptive prevalence Data point selection First priority is data on contraceptive use among married or in-union women aged 15 to 49 If none, then data for next most comparable group (sexually-active women, ever- married women, men and women who are married or in union) If no data on current use, then data on use at last sexual intercourse or during the previous year.

Indicator 5.4 Contraceptive prevalence MDG and national estimate differences Different survey data sources Survey data versus administrative data Modifications in the case of known errata in the reported figures Modern methods do not include LAM or folk methods

Indicator 5.6 Unmet need for family planning

Indicator 5.6 Unmet need for FP Definition Women who are –fecund and sexually active –not using any method of contraception –report not wanting any more children or wanting to delay the next child. Unmet need is the gap between women's reproductive intentions and their contraceptive behaviour.

Indicator 5.6 Unmet need for FP Definition For MDG monitoring, unmet need is expressed as a percentage based on women aged 15 to 49 who are married or in a consensual union. Measured as total unmet need, for spacing births and for limiting births.

Indicator 5.6 Unmet need for FP Method of computation Numerator includes, for women who are married or in consensual union and who are not using any contraceptive method: –Pregnant women whose pregnancies were unwanted or mistimed at the time of conception –Postpartum amenorrheic women who are not using family planning and whose last birth was unwanted or mistimed.

Indicator 5.6 Unmet need for FP Method of computation Numerator also includes fecund women who: –Do not want any more children (limit), or –Wish to postpone the birth of a child for at least two years (spacing), or –Do not know when or if they want another child (spacing)

Indicator 5.6 Unmet need for FP Method of computation Numerator excludes women who: –Are pregnant or amenorrheic due to contraceptive method failure –Are infecund

Indicator 5.6 Unmet need for FP Measurement of infecundity Women are assumed to be infecund if they: –Have been married or in union for five or more years, and –Have not had a birth in past 5 years, and –Are not currently pregnant, and –Have not used contraception in preceding five years, or –Self-report they are infecund, menopausal or had hysterectomy, or –Last menstrual period occurred more than 6 months ago (and they are not pregnant or amenorrheic)

Indicator 5.6 Unmet need for FP Refinement of measure Refinements over time have clarified the definition of population of risk. Changes include: –Combination of a self-reporting and algorithmic approach to identifying infecund women –Modifying the analysis of women unsure of their fertility desires –Defining women whose current pregnancy is due to method failure as lacking unmet need (and instead just needing a better method)

Indicator 5.6 Unmet need for FP Data Nationally-representative sample survey data from the DHS, RHS and national surveys that –Are based on similar methodologies –Include detailed questions to identify population at risk Differences in definition used are flagged with footnotes in the data series.

Indicator 5.6 Unmet need for FP Data availability More than half of countries and areas have no data points for unmet need. Unmet need for family planning: Number of countries or areas 1986 or later 2005 or later No data One data point3142 Two or more data points711 Any data 10243

Indicator 5.6 Unmet need for FP Obtaining survey data If no accessible published survey report, then other published analytic reports. If clarification needed, contact made with survey sponsors or authoring organization.

Thank you Спасибо