title: Factors influencing performance of Global Fund-supported tuberculosis grants.
abstract: OBJECTIVE
  To explore grant and country characteristics associated with the performance of tuberculosis (TB) grants supported by the Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund), which uses performance-based funding of grants.
  
  
  METHODS
  We used Global Fund grant data to compute the average programmatic performance of 108 TB grants in 88 countries. Using stepwise regression models, we examined the correlation of grant performance with a range of grant and country characteristics.
  
  
  RESULTS
  Funding duration and funding per estimated smear-positive TB case were positively correlated with grant performance (partial correlations of 0.386-0.416 for the former, 0.200 for the latter). Successful completion of an evaluation of a grant during the second year of funding was linked to higher performance (0.357). Performance was further influenced by the independent organisation hired by the Global Fund to provide ongoing monitoring of the grants (0.197-0.243). Two country-specific factors were significantly correlated with performance: political stability (0.197-0.234) and disease burden (-0.211).
  
  
  CONCLUSIONS
  Successful evaluation that leads to continued funding predicts higher performance of TB grants, even in challenging settings such as weak health services. However, other contextual factors affect grant performance and should be considered when assessing grants to ensure that countries that have a high disease burden and are politically unstable are not penalized.
authors.affiliation: The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland. katz@cantab.net
authors.forename: I
authors.initials: I
authors.lastname: Katz
authors.forename: M A
authors.initials: MA
authors.lastname: Aziz
authors.forename: M
authors.initials: M
authors.lastname: Olszak-Olszewski
authors.forename: R
authors.initials: R
authors.lastname: Komatsu
authors.forename: D
authors.initials: D
authors.lastname: Low-Beer
authors.forename: R
authors.initials: R
authors.lastname: Atun
mesh_terms: D005381:Financing, Organized / Q000458:organization & administration*; D014943:Global Health; D006801:Humans; D011057:Politics; D012044:Regression Analysis; D014376:Tuberculosis / Q000191:economics* / Q000517:prevention & control / Q000628:therapy