Retrospective analysis of condom use trends: summary: comparison of pre- and postintervention rates of CCU increase (slopes) using linear regression with GEE, by district
| District | State | Occasional clients | Regular clients | ||
| A (%) | B | A (%) | B | ||
| Belgaum | KA | −0.5 | = | 0.7 | = |
| Bellary | KA | −2.6 | = | −0.2 | = |
| Chennai | TN | 11.2* | + | 10.5* | + |
| Chitoor | AP | 6.4* | + | 5.0* | + |
| Coimbatore | TN | 12.3* | + | 9.3* | + |
| Dharmapuri | TN | 16.3* | + | 15.4* | + |
| East Godavari | AP | 6.4 | = | 5.2 | = |
| Guntur | AP | 21.7* | + | 21.4* | + |
| Madurai | TN | 13.6* | + | 14.4* | + |
| Mumbai BB† | MH | 0.9 | = | 0.3 | = |
| Mumbai NBB‡ | MH | 1.3 | = | 2.6 | = |
| Mysore | KA | 8.3* | + | 7.5* | + |
| Prakasam | AP | 9.4* | + | 5.3* | + |
| Pune BB† | MH | −4.2* | – | −9.2* | – |
| Pune NBB‡ | MH | 0 | = | 0.4 | = |
| Salem | TN | 12.5* | + | 8.0* | + |
| Shimoga | KA | 2.2 | = | 4.0 | = |
| Thane BB† | MH | −4.3* | – | −4.7* | – |
| Thane NBB‡ | MH | −3.7 | = | −1.2 | = |
| Visakhapatnam | AP | 18.8* | + | 16.2* | + |
| Yevatmal | MH | 0.6 | = | 5.1 | = |
Column A, absolute difference in average yearly rate of increase in CCU rates (slope); column B, type of inflection point: +, positive inflection point: post- significantly greater than pre- rate of increase; =, no inflection point: no significant difference between post- and pre- rates of increase; −, negative inflection point: pre- significantly greater than post- rate of increase. AP, Andhra Pradesh; KA, Karnataka; MH, Maharashtra; TN, Tamil Nadu.
↵* p<0.05 (χ2 test).
↵† BB=brothel-based.
↵‡ NBB=non brothel-based.