title: Use of a computerized tuberculosis register for automated generation of case finding, sputum conversion, and treatment outcome reports.
abstract: METHODS
  Tuberculosis (TB) rates in southern Africa have increased dramatically in recent years. Provision of accurate data for surveillance, program management, and supervision is increasingly essential.
  
  
  OBJECTIVE
  To develop software that would provide more efficient collection, compilation, and analysis of TB data on an ongoing basis.
  
  
  METHODS
  The 'Electronic TB Register' is a user-friendly, Epi-Info based software program based on the WHO/IUATLD format of recording and reporting. Individual records from the TB registry are entered in a program that provides interactive support. The software provides several patient management and supervision functions, such as lists of defaulters. Finally, it generates standard quarterly and annual reports on case-finding, sputum conversion, and cohort analysis, and provides graphs of trends and maps of TB indicators.
  
  
  RESULTS
  The 'Electronic TB Register' software has been successfully implemented in five pilot projects in southern Africa. User acceptance has been high and quality of data has improved, although timeliness remains unchanged. Factors critical for success include a functioning, paper-based system, involvement of staff from the TB program, health information systems, and health facilities, ongoing training, and backup support.
  
  
  CONCLUSIONS
  The 'Electronic TB Register' is a potentially powerful tool for surveillance, management, and supervision for countries with well-functioning paper-based recording and reporting systems.
authors.affiliation: The BOTUSA Project, Gaborone, Botswana. pbv7@cdc.gov
authors.forename: R
authors.initials: R
authors.lastname: Vranken
authors.forename: D
authors.initials: D
authors.lastname: Coulombier
authors.forename: T
authors.initials: T
authors.lastname: Kenyon
authors.forename: B
authors.initials: B
authors.lastname: Koosimile
authors.forename: T
authors.initials: T
authors.lastname: Mavunga
authors.forename: W
authors.initials: W
authors.lastname: Coggin
authors.forename: N
authors.initials: N
authors.lastname: Binkin
mesh_terms: D003219:Confidentiality; D003628:Database Management Systems; D016208:Databases, Factual; D003906:Developing Countries; D018563:Disease Notification / Q000379:methods*; D019353:Endemic Diseases; D005260:Female; D006801:Humans; D008297:Male; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D011159:Population Surveillance; D012042:Registries; D012680:Sensitivity and Specificity; D012984:Software; D013019:South Africa / Q000453:epidemiology; D013183:Sputum / Q000382:microbiology; D014397:Tuberculosis, Pulmonary / Q000175:diagnosis* / Q000188:drug therapy / Q000453:epidemiology*; D014944:World Health Organization