Frequency and reasons for delayed treatment initiation after HIV diagnosis: cross-sectional study in Lahore, Pakistan

Table 6 Association between socio-demographic and HIV related factors and delayed onset of HIV treatment among HIV patients

Variables	OR^a	95% CI		P-value	AOR^b	95% CI		P-value
Variables	OR^a	Lower	Upper	P-value	AOR^b	Lower	Upper	P-value
District
Lahore	0.666	0.417	1.064	0.089	0.518	0.308	0.872	0.013
Other	1				1
Place of residence
Urban	0.497	0.285	0.868	0.014	0.446	0.239	0.831	0.011
Rural	1				1
Educational level
No schooling	4.060	1.126	14.632	0.032	5.916	1.378	25.408	0.017
Primary	2.631	0.708	9.776	0.149	3.576	0.881	14.519	0.075
Secondary	1.259	0.333	4.758	0.734	1.609	0.401	6.447	0.502
College	1.030	0.229	4.638	0.969	1.329	0.272	6.488	0.725
University	1				1
Employment status
Employed	1				1
Unemployed	1.883	1.181	3.003	0.008	0.257	0.062	1.065	0.061
Type of household income
Permanent income	1				1
Occasional income	2.217	1.387	3.542	0.001	3.885	1.014	14.889	0.048
Initial CD4 count (cells/mm)³
< 200	0.509	0.284	0.912	0.023	0.479	0.248	0.925	0.028
200–349	1.125	0.635	1.993	0.686	1.326	0.707	2.486	0.380
> 349	1				1
Reason for HIV testing
Symptoms	0.992	0.368	2.675	0.987	0.900	0.302	2.684	0.849
HIV-positive partner	1.176	0.408	3.392	0.764	1.255	0.393	4.007	0.702
Routine offer	1.882	0.676	5.242	0.196	2.281	0.742	7.008	0.150
Pregnancy	0.750	0.179	3.144	0.694	0.692	0.143	3.351	0.647
Just wanted to know	1				1
Any associated chronic disease
Present	1.401	0.882	2.226	0.153	1.590	0.949	2.665	0.078
Absent	1				1

1 = reference category
^aOR Odds ratio
^bAOR Adjusted odds ratio. Results obtained from final model after applying backward stepwise multivariable logistic regression

ISSN: 1471-2458