ANEMIA DATA IN EVALUATING IMPACT OF MALARIA INTERVENTIONS: A MULTI COUNTRY ANALYSIS. Anemia Task Force October 18, 2013

Similar documents
150 7,114, making progress

68 3,676, making progress

117 4,904, making progress

MALARIA STATUS IN TANZANIA MAINLAND: AN OVERVIEW NATIONAL MALARIA FORUM- 25 TH APRIL 2014.

Table 5: HIV/AIDS statistics for Africa (excluding North Africa), 2001 and 2009

MATERNAL AND CHILD HEALTH

MATERNAL AND CHILD HEALTH 9

VI. IMPACT ON EDUCATION

Population, Health, and Human Well-Being-- Benin

INDICATOR REGION WORLD

Nigeria s Health Statistics and Trends

INDICATOR REGION WORLD

HIV/AIDS IN SUB-SAHARAN AFRICA: THE GROWING EPIDEMIC?

Over-Age, Under-Age, and On-Time Students in Primary School, Tanzania

CORRELATIONAL ANALYSIS BETWEEN TEENAGE PREGNANCY AND MATERNAL MORTALITY IN MALAWI

Internship at the Centers for Diseases Control

Goal 6: Combat HIV, AIDS, malaria, and other major diseases

HIV/AIDS AND OTHER SEXUALLY TRANSMITTED INFECTIONS 11

U.S. President s Malaria Initiative (PMI) Approach to Health Systems Strengthening

Goal 1: Eradicate extreme poverty and hunger. 1. Proportion of population below $1 (PPP) per day a

MALARIA A MAJOR CAUSE OF CHILD DEATH AND POVERTY IN AFRICA

SUMMARY- REPORT on CAUSES of DEATH: in INDIA

The Global Fund to Fight AIDS, Tuberculosis and Malaria Fourth Replenishment ( ) Update on Results and Impact

LINKING DEMOGRAPHIC SURVEILLANCE AND HEALTH SERVICE NEEDS

Implementing Community Based Maternal Death Reviews in Sierra Leone

IBADAN STUDY OF AGEING (ISA): RATIONALE AND METHODS. Oye Gureje Professor of Psychiatry University of Ibadan Nigeria

Case Finding for Hepatitis B and Hepatitis C

How much is a Health Card worth? The Impact of CARE s Out-patient Health Insurance and Preventive & PromotiveProducts Intervention in rural Yavatmal

Central African Republic Country brief and funding request February 2015

Goal 6: Combat HIV/AIDS, malaria and other diseases

Pakistan Demographic and Health Survey

South Africa s health system What are the gaps? Ronelle Burger

F. MORTALITY IN DEVELOPING COUNTRIES

Guyana 2009 Guyana Demographic and Health Survey Demographic and Health Survey 2009

Summary. Accessibility and utilisation of health services in Ghana 245

The Elderly in Africa: Issues and Policy Options. K. Subbarao

SRI LANKA SRI LANKA 187

DISEASES OF AGEING IN GHANA

Objectives. What is undernutrition? What is undernutrition? What does undernutrition look like?

Q&A on methodology on HIV estimates

Epidemiology of Vaccine Refusal and Evidence Base for Addressing Vaccine Hesitancy

An Exploratory Examination of Afghan Women Socio Economic Status (SES) and Child Health Indicator

1. The burden of malaria in Africa

HIV Prevalence Estimates from the Demographic and Health Surveys. Updated July 2012

The Public Health Crisis in Kenya: and Economic Challenges

Development of Social Statistics in Indonesia: a brief note

Summary and Key Points

VII. IMPACT ON THE HEALTH SECTOR

A Study on Knowledge, Attitude and Practice about Malaria Awareness and Bed Net Use

Methodology Understanding the HIV estimates

1.0 INTRODUCTION. 1.2: The 2008 Population and Housing Census

U.S. President s Malaria Initiative (PMI) Approach and Steps to Counter Theft and Diversion of Medicines

Sauti za Wananchi Collecting national data using mobile phones

Summary Measures (Ratio, Proportion, Rate) Marie Diener-West, PhD Johns Hopkins University

Exercise Answers. Exercise B 2. C 3. A 4. B 5. A

Chapter 1. The Development Gap

The impact of HIV/AIDS on the labour force in Sub-Saharan Africa: a preliminary assessment

DHS EdData Education Profiles

Data Analysis and Interpretation. Eleanor Howell, MS Manager, Data Dissemination Unit State Center for Health Statistics

Research Paper 84. By Ibrahim Kasirye and Gemma Ahaibwe

Everything you always wanted to know about the DHS, but you never dared to ask

Mid-year population estimates. Embargoed until: 20 July :30

S P. The Goals Model as a Tool for Allocating HIV/AIDS Resources & Strategic Planning

Principles and Structure of a Research Protocol. The Union, Paris, France MSF, Brussels, Belgium

National Family Health Survey-3 reported, low fullimmunization coverage rates in Andhra Pradesh, India: who is to be blamed?

Treatment Seeking of Malaria Patients in East Shewa Zone of Oromia, Ethiopia

The Impact of HIV on Economic Development

The Influence of Geographic Location on Sexual Behaviors Related to the Transmission of HIV in Mainland Tanzania

Education is the key to lasting development

Global Update on HIV Treatment 2013: Results, Impact and Opportunities

JAMAICA. Recorded adult per capita consumption (age 15+) Last year abstainers

Stigma and discrimination as barriers to achievement of global PMTCT and maternal health goals

UGANDA HEALTH CARE SYSTEM

07 AIDS epidemic update

HIV PREVALENCE AND ASSOCIATED FACTORS 12

Cost-Effectiveness Analysis (CEA)

Haemophilus influenzaetype b (Hib) Vaccination Position Paper. July 2013

Health Insurance Systems in Five Sub-Saharan African Countries: Medicines Benefits and Data for Decision-Making

Primary School Net and Gross Attendance Rates, India. Primary School Net Attendance Rate in Urban and Rural Areas, India

Maternal & Child Mortality and Total Fertility Rates. Sample Registration System (SRS) Office of Registrar General, India 7th July 2011

Development goals through a gender lens: The case of education

The National Survey of Children s Health The Child

Malawi Population Data Sheet

M I L L I O N S Figure 2.1 Number of people newly infected with HIV

FATHERS. Professor Lorraine Sherr Royal Free and UC Medical School London UK

KENYA, COUNTY HIV SERVICE DELIVERY PROFILES

Huron County Community Health Profile

Children in Egypt 2014 A STATISTICAL DIGEST

Review of delivery strategies for insecticide treated mosquito nets are we ready for the next phase of malaria control efforts?

Statistical release P0302

Child Survival and Equity: A Global Overview

Wo r l d Health Statistics. Part 1 Ten highlights in health statistics

2004 Update. Sierra Leone

UPDATE UNAIDS 2016 DATE 2016

South African Health Sector: Presented to Budget committee By Dr. Olive Shisana CEO Human Sciences Research Council

These are organized into two groups, corresponding to each of AidGrade s two rounds of metaanalysis.

Maternal and Neonatal Health in Bangladesh

UNAIDS ISSUES BRIEF 2011 A NEW INVESTMENT FRAMEWORK FOR THE GLOBAL HIV RESPONSE

Data Interpretation for Public Health Professionals

Service Availability and Readiness Assessment (SARA)

Transcription:

1 ANEMIA DATA IN EVALUATING IMPACT OF MALARIA INTERVENTIONS: A MULTI COUNTRY ANALYSIS Anemia Task Force October 18, 2013

2 Outline How does PMI assess impact of malaria control? Severe anemia as an indicator of impact Monitoring anemia Country examples

3 Framework for Impact Evaluation 1. Determine if: All-cause under-five mortality decreased Malaria morbidity (anemia, parasitemia) decreased Malaria control intervention coverage increased Alternate explanations exist for decreased mortality 2. Conclude whether it is plausible that scale up of malaria control interventions reduced malaria-related deaths Adapted from Rowe et al, Trop Med Int Health 12: 1524-1539

Severe anemia as an indicator of impact Severe anemia, defined as blood hemoglobin levels <8 g/dl, is associated with malaria-related mortality and it is measurable at the population level with less seasonality than parasitemia. Declines in severe anemia have been found to be associated with malaria control interventions. In sub-saharan Africa, between 17% and 54% of malariaattributable deaths are estimated to be due to severe anemia. 4

National HH Surveys Supported by PMI 2006 Planned 2014 5

6 Measuring Mortality Reduction in All-Cause Mortality Rates of Children Under Five

PMI Progress: ITN Coverage 7

Measuring Morbidity 8

Results of Impact Evaluations to Date Country U5 Mortality Decline Malaria Intervention Coverage Increase Decline in Malaria Morbidity Do contextual factors explain all mortality decline? Plausible Impact Tanzania 45% Anemia No 9 Malawi 41% Anemia Parasitemia No Angola 21% (still low) Parasitemia Likely Subnational Rwanda 61% Anemia Parasitemia Malaria Incidence No Ethiopia 47% Epidemics Malaria Deaths No Zanzibar 34%* Anemia Parasitemia Malaria Incidence No *Overlapping confidence intervals

All-cause Under-five and Infant Mortality* Rwanda, 1998-2008 10 *Mortality is shown at the midpoint of the five-year period.

Household ITN Ownership and Use Rwanda, 2000-2010 11 ITN Ownership ITN Use

Severe Anemia* & Malaria Parasitemia in Children 6-59 Months Old, 2005-2010 12 *Hemoglobin <8 g/dl

Prevalence of severe anemia in children 6 59 months, by oversampled districts, Malawi, 2004 & 2010, DHS 13

Declining Prevalence of Malaria Morbidity and Mortality HMIS data show that malaria incidence declined by 70% between 2005 and 2010 Malaria outpatient visits declined by 60% Malaria mortality in inpatient admissions declined by 54% Inpatient Malaria Deaths All Ages, 2001-2010 14

Baseline and endline estimates of the proportion of last-born children age 6 23 months using ITNs and the prevalence of moderate-to-severe anemia at the national level 15

Issues 16

17 Subnational Heterogeneity: Tanzania Malaria Prevalence 2007/8 20011/12 Tanzania HIV/AIDS and Malaria Indicator Survey, 2007-08 and 2011-12

Figure 9. Correlation between ITN use and moderate-to-severe anemia in last-born children age 6 23 months

Figure 10. Adjusted odds ratios of moderate-to-severe anemia in last-born children age 6 23 months comparing ITN users with nonusers, by survey and pooled across survey*

Figure 12. Scatterplot of proportion of last-born children age 6-23 months who used an ITN the night preceding interview by the proportion with moderate-to-severe anemia in surveys with ITN use greater than 20%

Figure 13. Scatterplot of proportion of last-born children age 6-23 months who used an ITN the night preceding interview by the proportion with moderate-to-severe anemia in surveys with ITN use less than 20%

Figure 18. Adjusted odds ratios of moderate-to-severe anemia in last-born children age 6-23 months who used an ITN the previous night compared with those who did not* *Adjusted for urban-rural residence, wealth quintile, multiple births, mother's education, sex, age, mother's age, and recent fever. Baseline pooled I2 test for heterogeneity = 33.8% (p=0.138). Endline pooled I2 test for heterogeneity = 0.0% (p=0.661). Overall pooled I2 test for heterogeneity = 10.9% (p=0.319).