October 20, 2015 UNAIDS Monitoring and Evaluation of HIV Programs for MSM Linking data to Program Planning, Implementation, and Advocacy UNAIDS/S.NOORANI.

Slides:



Advertisements
Similar presentations
HIV/AIDS Results Monitoring and Evaluation Systems Measuring the Multi-Sector Response.
Advertisements

Department of Gender and Womens Health Addressing gender in HIV/AIDS Indicators: Key issues to consider Department of Gender, Women and Health World Health.
New Challenges in M&E Lets go. Scaling Up Monitoring & Evaluation Strategic Information PROGRAM GUIDANCE RESULT NEEDS OPPORTUNITIES Resources New directions.
February Dakar, Senegal
Ecological Model for HIV Risk in MSM Stage of Epidemic Individual Community Public Policy Network Level of Risks Source: Baral and Beyrer, 2006.
Compendium of Indicators for Monitoring and Evaluating National Tuberculosis Programs Using the Compendium to Plan for Monitoring and Evaluation of NTPs.
M&E Framework for Programmes for Most-at-Risk Populations
Ghana’s HIV Response The Ghana Team: Richard N. Amenyah Matilda Owusu-Ansah Evelyn Awittor Lord Dartey Mercy Bannerman.
Surveys and Surveillance Regional Workshop on the Monitoring and Evaluation of HIV/AIDS Programs February 14 – 24, 2011 New Delhi, India.
Monitoring the effects of ARV treatment programmes on prevention Gabriel Mwaluko 1, Mark Urassa,2, John Changalucha,2, Ties Boerma 3 1 TANESA Project,
A South Asia multi-country Global Fund Project Round 9 Title : Reducing the impact of HIV on men who have sex with men and transgender populations in South.
Unit 8: Uses and Dissemination of HIV Sentinel Surveillance Data #3-8-1.
1 HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Key Affected Populations.
1 HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka.
Progress toward COP 12 targets Mozambique-ICB October
HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka Last updated: December 2014.
HIV and AIDS Data Hub for Asia-Pacific HIV and AIDS Data Hub for Asia-Pacific Review in slides China 1.
HIV and AIDS Data Hub for Asia-Pacific 11 HIV and AIDS Data Hub for Asia-Pacific Review in slides Mongolia.
Resource Needs Model Rachel Sanders October 28 th, 2010.
UNDAF M&E Systems Purpose Can explain the importance of functioning M&E system for the UNDAF Can support formulation and implementation of UNDAF M&E plans.
M&E Basics Miguel Aragon Lopez, MD, MPH. UNAIDS M&E Senior Adviser 12 th May 2009.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Philippines Last updated: November 2014.
SSuN: MSM prevalence monitoring and HIV Testing in STD Clinics Kristen Mahle & Lori Newman SSuN Call #3 Oct 30, 2008.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Pacific Region (without Papua New Guinea)
Country gallery Malaysia. Basic socio-demographic indicators, Total population (thousands)26,572 Surface area329,847 sq. km Annual population.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Philippines Last updated: June 2015.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Papua New Guinea Last updated: July 2015.
STATE OF THE STATE SHELLEY LUCAS HIV/STD PREVENTION & CARE BRANCH DEPT OF STATE HEALTH SERVICES AUGUST 3, 2015.
Global Monitoring & Evaluation of HIV Prevention Among Most-at-Risk Populations: Update on existing guidance Priscilla Akwara, PhD Senior Advisor, Statistics.
1 HIV and AIDS Data Hub for Asia-Pacific Review in slides Bangladesh.
Securing the future today Synthesis of strategic information on HIV and young people Global Interagency Task Team on HIV and young people, June 2011.
1 Where have we failed? Findings of the Commission on AIDS in Asia Tim Brown East-West Center Modes of Transmission in the Philippines Stakeholders’ meeting.
Sexually Transmitted Disease (STD) Surveillance Report, 2008 Minnesota Department of Health STD Surveillance System Minnesota Department of Health STD.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Maldives Last updated: December 2014.
HIV and AIDS Data Hub for Asia-Pacific Review in slides India.
Linking Data with Action Part 1: Seven Steps of Using Information for Decision Making.
India Last updated: January 2016.
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 Lao PDR Last updated: July 2015.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Afghanistan Last updated: January 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Timor-Leste Last updated: January 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Mongolia Last updated: December 2014.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Myanmar.
IMPROVING THE HIV, SEXUAL & REPRODUCTIVE HEALTH OF SEX WORKERS TURNING GOOD POLICY INTO GOOD PRACTICE Module 5: Measuring Outcomes.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Myanmar Last Update: June 2015.
YONECO SRHR POLICY. SHAREFRAME CONFERENCE Salima - Malawi Mr. Samuel Bota Board Member.
HIV and AIDS Data Hub for Asia-Pacific Review in slides India Last updated: March 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Timor-Leste.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Sri Lanka.
Ethiopia Demographic and Health Survey 2011 HIV/AIDS Knowledge, Attitudes, and Behaviour.
HIV and AIDS Data Hub for Asia-Pacific 11 HIV and AIDS Data Hub for Asia-Pacific Review in slides India.
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 Sri Lanka Last updated: April 2016.
HIV and AIDS Data Hub for Asia-Pacific Review in slides Japan.
Strategic Information on ART Scale up Kevin O'Reilly Department of HIV/AIDS WHO.
Moving from a commodity approach: “Fund some of everything” or “Fund what is comfortable” to An Investment approach: “Fund evidenced-based activities.
Philippines Last updated: July 2015.
Timor-Leste Last updated: January 2016.
NATIONAL HIV&AIDS M&E FRAMEWORK
M&E Basics Miguel Aragon Lopez, MD, MPH
Bhutan Last updated: September 2016.
Central American Certificate Course: HIV Monitoring and Evaluation for HIV/AIDS Policy and Program Management BZ Unit 2 – Post test CR ES GT NI PA January.
Mongolia Last updated: April 2016.
Key Affected Populations
Multi-Sectoral Nutrition Action Planning Training Module
Bhutan.
Key Affected Populations
TRACE INITIATIVE: Data Use
Bhutan Last updated: July 2018.
Presentation transcript:

October 20, 2015 UNAIDS Monitoring and Evaluation of HIV Programs for MSM Linking data to Program Planning, Implementation, and Advocacy UNAIDS/S.NOORANI Mauricio Cysne International Conference on HIV Infection in Hidden Groups Lisbon, March

October 20, 2015 UNAIDS Roles of M&E Global  Assess progress toward universal access to HIV prevention, care and treatment  Assess global response across countries National  Assess national program response to HIV epidemic  Coordinate activities of stakeholders around common goals, objectives and harmonized measurements Local (Project-Level)  Assess program interventions  Is our project working? Is the project having the intended affect on the knowledge, behavior, clinical outcomes, or quality of life of our clients?  If not, why? And how do we fix it?

October 20, 2015 UNAIDS Global M&E - UNGASS 2010 Among 180 countries reporting globally this year to UNAIDS  MSM (along with IDU and SW indicator data) rank among the lowest in number countries reporting when compared with other general population indicators  Improving the number of countries reporting quality MSM (as well as IDU and SW data) is urgently needed to inform HIV prevention programmes

October 20, 2015 UNAIDS Global M&E - UNGASS 2010

October 20, 2015 UNAIDS Monitoring & Evaluation What is it and why should we do it? M&E is a framework for organizing, presenting and using information in order to help decision makers to better plan, develop, implement, and evaluate the program response to a given epidemic need. A cyclical learning process  Through each cycle (Semi-annual, Annual, Biennial, or Multi-year) we seek to understand more so we can plan better, implement more effectively & efficiently, achieve greater outcomes and impact.  Programs are rarely ALL GOOD or ALL BAD  M&E helps us to understand what is working and what is not so that we can keep what works and make the mid-course corrections needed to fix or improve.

October 20, 2015 UNAIDS M&E Framework – Linking Data to Program Planning and Implementation ProgramM&E (Metrics)Time Frames GoalsImpact Indicators3-5 years ObjectivesOutcome Indicators1-2 Years ActivitiesOutput Indicators Quarterly, Semi- Annually, Annually

October 20, 2015 UNAIDS M&E Framework Using Data for Planning and Decision Making

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Linking Data to Program Planning ProgramM&E (Metrics)Time Frames 5-year Goal: Reduce the Annual Transmission Rate of HIV among MSM HIV Incidence rate among MSM3-5 years Objective 1.1: Increase knowledge of HIV Percentage of MSM who correctly identify ways of preventing the sexual transmission of HIV and reject major misconceptions 1-2 Years Objective 1.2: Increase percent of MSM who are aware of their HIV status Percentage of MSM who receive and HIV test and are aware of their status 1-2 Years Objective 1.3: Reduce risk of HIV infection through sexual transmission Percentage of men reporting the use of a condom the last time they had sex with a male partner 1-2 Years Technical Area: Prevention of HIV among MSM

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Linking Data to Program Planning and Implementation Technical Area: Prevention of HIV among MSM 5-Year Goal 1 Reduce the Annual Transmission Rate of HIV among MSM Program Objectives (for Goal 1): Objective 1.1: Increase knowledge of HIV Objective 1.2: Increase percent of MSM who are aware of their HIV status Objective 1.3: Reduce risk of HIV infection through sexual transmission

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Linking Data to Program Planning and Implementation Technical Area: Prevention of HIV among MSM 5-Year Goal - 1 Reduce annual transmission of HIV Intermediate Program Objectives (for Goal 1): Objective 1.1: Increase knowledge of HIV among MSM Outcome Indicator: Percentage of MSM who correctly identify ways of preventing the sexual transmission of HIV and reject major misconceptions Objective 1.2: Increase percent of MSM who are aware of their HIV status Outcome Indicator: Percentage of MSM who receive and HIV test and are aware of their status Objective 1.3: Reduce risk of HIV infection through sexual transmission Outcome Indicator: Percentage of men reporting the use of a condom the last time they had sex with a male partner Impact Indicator: HIV Incidence rate among MSM

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Linking Data to Program Planning and Implementation

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Linking Data to Program Planning and Implementation

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Hidden

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Linking Data to Program Planning and Implementation Define Numerator, denominator, disaggregation (age, gender)  Describe the variables that will be used to create your indicator as well as any equations or other definitional information required to calculate the indicator Measurement tool  Surveillance, survey, program records? Data collection frequency  Monthly, Quarterly, Annually, Biennially? Responsibility  Who is responsible for what data and at what level? Purpose and use Set targets Collect data Use operational guideline – now in pilot countries

October 20, 2015 UNAIDS M&E - Putting the Framework into Practice Linking Data to Advocacy Example from Mozambique KYE KYR NASA/MEGAS I-RARE Data Triangulation Modes of Transmission

October 20, 2015 UNAIDS Incidence model results Sex-work related 19% Related to multiple partner behaviours 24% Note: The incidence model requires detailed data. Many of the data required were not available, and many proxy data or estimations were necessary. Such the model results should be interpreted with caution.

October 20, 2015 UNAIDS Figura 63. Gastos em prevenção, por população beneficiária em Moçambique (US$), Fonte: Análise MEGAS suplementar, J. Durão Nov. 2010

October 20, 2015 UNAIDS Thank You!