1. SUSTAINABLE DEVELOPMENT: A SOCIAL PERSPECTIVE Beverly Andrews Biostatistician Caribbean Epidemiology Centre Epidemiology Division

2. DIMENSIONS OF SUSTAINABLE DEVELOPMENT ECONOMIC DIMENSIONS PHYSICAL ENVIRONMENT SOCIAL ENVIRONMENT

3. SOCIAL DIMENSIONS OF SUSTAINABLE DEVELOPMENT POPULATION EDUCATION HEALTH DEMOCRATIZATION AND GOVERNANCE

4. HEALTH ASPECTS OF SUSTAINABLE DEVELOPMENT VISION FOR HEALTH More than the absence of disease Includes mental, spiritual and emotional health components. Encompasses the physical and social environment as well as the individual’s genetic makeup and lifestyle

5. IMPACT OF HEALTH ON DEVELOPMENT Productivity Losses Burden of disease Reduction in life expectancy Allocation of financial resources to prevention and control of diseases Travellers Health and Tourism (e.g.SARS)

6. REGIONAL PRIORITIES FOR HEALTH HEALTH SYSTEMS DEVELOPMENT HUMAN RESOURCE DEVELOPMENT FAMILY HEALTH FOOD AND NUTRITION CHRONIC NON COMMUNICABLE DISEASE MENTAL HEALTH ENVIRONMENTAL HEALTH

7. MILLENIUM DEVELOPMENT GOALS GOAL 1:ERADICATE EXTREME POVERTY AND HUNGER GOAL 2: ACHIEVE UNIVERSAL PRIMARY EDUCATION GOAL 3:PROMOTE GENDER EQUALITY AND EMPOWER WOMEN GOAL 4:REDUCE CHILD MORTALITY GOAL 5: IMPROVE MATERNAL HEALTH GOAL 6:COMBAT HIV/AIDS, MALARIA AND OTHER DISEASES GOAL 7:ENSURE EVIRONMENTAL SUSTAINABILITY GOAL 8:DEVELOP A GLOBAL PARTNERSHIP FOR DEVELOPMENT

8. SUSTAINABLE DEVELOPMENT INDICATORS RELATED TO HEALTH UNDER 5 MORTALITY RATE INFANT MORTALITY RATE MATERNAL MORTALITY RATIO PREVALANCE AND MORTALITY RATES RELATED TO HIV/AIDS, MALARIA AND TB PROPORTION OF 1 YEARS OLD CHILDREN IMMUNISED AGAINST MEASLES HIV PREVALENCE AMONG 15-24 YEAR OLD PREGNANT WOMEN

9. SOURCES OF SUSTAINABLE HEALTH INDICATORS HOSPITAL MEDICAL RECORDS POPULATION HEALTH SURVEYS CENSUSES LEGAL SOURCES: BIRTH AND DEATH CERTIFICATES EPIDEMIOLOGICAL SURVEYS

10. CHALLENGES WITH RESPECT TO GENERATING HEALTH DATA Data collection instruments not standardized and comparable Data collection instruments not accurately completed e.g. death certificates Non standardization of coding practices in countries Non standardized definitions of health events Data formats for submitting data to regional agencies are not standardized. Datedness of data

11. CHALLENGES WITH RESPECT TO GENERATING HEALTH DATA Under-analysis of health data by member countries Need for revision of data collection instruments Need for introduction of new data collection instruments Stigma associated with reporting diseases such as HIV/AIDS on death certificates

12. SOME STRATEGIES FOR OVERCOMING DATA QUALITY CHALLENGES CAPACITY BUILDING VIA TRAINING WORKSHOPS FOR VARIOUS TARGET AUDIENCES: PHYSICIANS, CODERS, STATISTICIANS, MEDICAL RECORDS OFFICERS, EPIDEMIOLOGISTS

13. SOME STRATEGIES FOR OVERCOMING DATA QUALITY CHALLENGES MONITORING AND EVALUATION OF HEALTH DATA SYSTEMS e.g, vital registration systems, communicable disease surveillance systems, HIV/AIDS surveillance systems, health standards in hotels MAKE RECOMMENDATIONS FOR STRENGTHENING OF SYSTEMS

14. SOME STRATEGIES FOR OVERCOMING DATA QUALITY CHALLENGES ELECTRONIC DISCUSSION FORUMS FOR DISCUSSION OF ISSUES, METHODOLOGIES, DEFINITIONS CARISURVNET: CLEARINGHOUSE FOR PUBLIC HEALTH ISSUES e.g. SARS

15. SOME STRATEGIES FOR OVERCOMING DATA QUALITY CHALLENGES SOFTWARE FOR CAPTURING HEALTH DATA FOR USE IN COUNTRIES: MORTBASE : An MS-ACCESS based data entry, validation and analysis tool for mortality data. Software would allow for the calculation of indicators such as infant mortality

16. SOME STRATEGIES FOR OVERCOMING DATA QUALITY CHALLENGES Manuals of operations and procedures

17. PRIORITY NEEDS FOR GENERATION OF DEVELOPMENT INDICATORS Training programmes for physicians, statistical officers of health and epidemiologists Survey and data analysis capacity needs strengthening in the areas of behavioural risk factor surveillance. Building awareness among data producers about the importance of the data and data quality.

18. PRIORITY NEEDS FOR GENERATION OF DEVELOPMENT INDICATORS Data analysis skills need to be strengthened among statistical officers of health and epidemiologists. Emphasis to be placed on data quality monitoring. Need for training in data management