1. Sectoral reporting beyond accountability for sustainability
Liesel Heynike
Strategic Information Executive
SA AIDS Conference Durban
9 June 2011

2. SABCOHA takes responsibility
Developed web-based reporting tool
launched end Oct 2010
Designed to add value beyond accountability
Facilitates planning and resource allocation
Platform to integrate data
Long-term investment
Ambitious but possible
Critical success factor = shared responsibility

3. Bizwell Design Elements
All data must be linked to a company
Service providers can be authorised to report on behalf of clients
Users and data linked to company sites
Disaggregated individual line data enables in-depth analysis
Confidentiality is guaranteed in terms of use
Duplicate reporting is mitigated
Data for employees as targeted beneficiaries should be captured

4. Data Specification Components Phase 1 Future
Stakeholder consultation & expert engagement
Jul - Oct 2010
Q4 2011
Scope
HCT and Wellness Screening
HIV prevention, treatment, care and support, resources
Employee wellness
Occupational Health
Data set and indicators
Jul - Sept 2010
Q – phase 2
Tools development to support implementation
Aug – Oct 2010
Q1 & Q – phase 2
Systems development
Oct 2010 – Apr 2011
Q2 & Q – phase 2

5. Data Collection Components Now Future Technical assistance
Increased capacity 1 Apr TAs in place
Expand team & diversify expertise
# of companies 62
5 000? ?
# of HCT & wellness screening service providers 32
50 – 60
Coverage
5% of employees in formal business sector
80%
Principal users 94
5 000? ?
Secondary users 92
(range 0 – 30; no limit)
Company reporting rate
35%
90%
HCT & wellness screening service provider reporting rate
41% mostly 1 client
100% for all clients
# of service providers for expanded data set
200? 300?
# of HCTs reported
end May 2011
before end 2011

6. Data Analysis Components Now Future Descriptive statistics
Consolidated data by industry and geographic area (province and district) exported from Bizwell into MS Excel
Increased data volumes will enable enhanced descriptive data interpretations beyond frequency reporting
Inferential statistics
No inferential analysis at present
Inferential analysis and reporting across all data fields requires increased capacity and specialised systems
Basic cross-tabulations
System incorporates a basic analysis tool enabling cross-tabulation of variables
This functionality may be enhanced

7. Data Reporting Components Now Future User reporting
Data output charts can be automatically generated from user profiles for specified date range & sites
Narrative descriptions to facilitate accurate interpretation of charts and easy export to MS Word with customisable formatting envisaged
Government & key stakeholder reporting
Monthly summary reports prepared and disseminated to SANAC/NDoH, PACs/PDoH and SABCOHA Boards
Automated monthly reports
Public reporting
Real-time data charts can be accessed from the homepage
More comprehensive and adjustment to reported need
Industry reporting
Aggregated data by major industry division accommodate through above reporting
Increased data volumes will enable company-industry comparative reporting functionality and major industry group inferential analysis and reporting

8. Registration Experiences
Lack of understanding
Relationship building
Advocacy required
Principal or senior management buy-in
Perception and trust iro confidentiality
Complexity and variation of company and management structures
Reporting not mandatory
Responsibility out-sourced to service providers

9. Site Management Realities
Site lists with employee and contractor numbers lacking or inaccurate
District municipalities and postal codes not populated for sites
Site management facilitates effective planning, implementation and reporting
Worthwhile upfront investment

10. Data Management Challenges
Data formatting
Unconsolidated data
Uncaptured data
Data integrity: incomplete, inconsistent, errors
Aggregation
Incompatible fields and field manipulation
Unrecorded fields significantly reduces value (population, treatment access & referral, risk)
Data management requires resources