Assessing linkage to and retention in care among HIV patients in Uganda and identifying opportunities for health systems strengthening: a descriptive study

Table 2 Patient and facility characteristics in relation to retention in care^a

Characteristic	N	N (%) retained in care	Univariate OR (95% CI)	p-value	Multivariate OR (95% CI)	p-value
Sex
Female	408	69.4%	0.75 (0.58-0.97)	0.03	0.76 (0.60-0.97)	0.03
Male	270	75.2%	Ref		Ref
Age group
< 10 years	30	73.3%	1.08 (0.41-2.84)	0.87	1.12 (0.41-3.03)	0.83
10-18 years	20	50.0%	0.39 (0.16-0.99)	0.05	0.43 (0.17-1.06)	0.07
19-48 years	541	71.7%	Ref		Ref
49+ years	64	79.7%	1.55 (0.79-3.04)	0.21	1.46 (0.75-2.85)	0.26
Missing	23	65.2%	0.74 (0.47-1.16)	0.19	0.83 (0.46-1.49)	0.53
Facility location
Rural/remote (n = 14)	389	67.6%	0.62 (0.41-0.93)	0.02	0.62 (0.39-0.98)	0.04
Semi−/peri-urban (n = 6)	289	77.2%	Ref		Ref
Facility size of expert client staff pool
1 or fewer (n = 3)	25	64.0%	0.62 (0.41-0.94)	0.03	0.82 (0.52-1.28)	0.37
2-4 (n = 9)	328	69.8%	0.81 (0.49-1.33)	0.40	0.86 (0.56-1.33)	0.50
5+ (n = 8)	325	74.2%	Ref		Ref
Facility level
III (n = 9)	189	70.9%	0.95 (0.63-1.42)	0.80	–
IV (n = 11)	489	72.0%	Ref		–
Days ART offered per week
1 (n = 9)	185	67.6%	0.72 (0.48-1.08)	0.11	–
2-3 (n = 8)	380	72.9%	0.93 (0.54-1.60)	0.79	–
4-5 (n = 3)	113	74.3%	Ref		–

^aRetention in care measured at 6 months among 678 patients newly initiated on ART at 20 facilities in Uganda. Logistic regression models used cluster-robust standard errors to account for clustering by health facility. Variables that were statistically significant in univariate models were included in the multivariable models

ISSN: 1471-2334