Socio-Demographic, Economic and Clinical Predictors for HAART Adherence Competence in HIV-Positive Adults at Felege Hiwot Teaching and Specialized Hospital, North West Ethiopia

Figures & data

Figure 1 Conceptual framework for relationship between observed and latent variables with the variable of interest (HAART adherence competence).

Table 1 Baseline Socio-Demographic and Clinical Variables of 792 Patients in the Study Area

Variable		Average	No. (%)
Weight (kg)		58.1 (45–70)	–
Baseline CD4 cells/ mm^3		148.7 (113–180)	–
Age (years)		64.3 (48–78)	–
Follow-up times		23 visits
First month/initial CD4 cell count change/mm^3		16.6 (12–26)	-
Sex	Male		392 (49.4)
	Female		400 (50.6)
Educational status	No education		163 (20.6)
	Primary		209 (26.4)
	Secondary		274 (34.6)
	Tertiary		146 (18.4)
Residence area	Urban		468 (59.1)
	Rural		324 (40.9)
Marital status	Living with partner		446 (56.3)
	Living without partner		346 (43.7)
Level of income	Low income (<500 ETB per month)		41 (5.2)
	Middle income (5001–999 ETB per month)		660 (83.3)
	High income (1000ETB per month)		91 (11.5)
WHO HIV stage	Stage 1		101 (12.8)
	Stage 2		259 (32.7)
	Stage 3		199 (25.1)
	Stage 4		233 (29.4)
Disclosure of the disease	Yes		166 (21.0)
	No		226 (79.0)
Owner of cell phone	Yes		390 (49.2)
	No		402 (50.8)
Adherence to HAART	Adherent		202 (25.5)
	Non-adherent		590 (74.5)

Figure 2 Path analysis of predictor variables for estimating mean values (Wi), variances, disturbance terms (Di) and errors (ei) on the dependent variable (HAART adherence competence).

Table 2 Mean and Variance of Exogenous Variables

Variable	Mean	Standard Deviation
Literate	0.80965	0.8998
With partner	0.59807	0.77335
Urban	0.61356	0.7833
Disclosed	0.29349	0.54174
High income	0.13662	0.36962
Owner of cell phone	0.55587	0.74557
Age	73.28275	75.13789
Weight	63.71277	65.37255
Male	0.49042	0.7003
CD4 cell count	157.02836	187.47603
Not stage 4	0.78379	0.88532
Visiting time	11.44517	13.20341