Impact of organizational factors on adherence to laboratory testing protocols in adult HIV care in Lusaka, Zambia

Table 4 Multi-variable model for predictors of not ordering a test

	Follow-up visit (FUP)	Initial health and physical visit (IHP)
Label	CD4 count	CD4 count	Hemoglobin	WHO staging	Liver function
Staff experience	0.93^*** (0.92, 0.96)	1.00 (0.96, 1.04)	1.05^*** (1.01, 1.09)	0.90^** (0.81, 1.00)	1.00 (0.91, 1.09)
Staff turnover	1.45^*** (1.25, 1.67)	1.69^*** (1.39, 2.08)	1.43^*** (1.18, 1.72)	0.78 (0.47, 1.30)	0.94 (0.59, 1.52)
Staff absenteeism	0.97^* (0.93, 1.00)	0.94^** (0.89, 0.99)	0.98 (0.93, 1.03)	0.93 (0.82, 1.08)	0.96 (0.85, 1.08)
Staff burnout	1.14^** (1.00, 1.30)	0.78^*** (0.64, 0.94)	0.77^*** (0.64, 0.93)	0.88 (0.51, 1.54)	1.06 (0.65, 1.75)
Physical space	1.03 (0.98, 1.09)	1.12^*** (1.04, 1.20)	1.10^*** (1.02, 1.19)	1.08 (0.85, 1.35)	0.87 (0.71, 1.06)
Clinic age	1.41^*** (1.20, 1.64)	1.43^*** (1.15, 1.79)	1.23^** (1.00, 1.54)	1.05 (0.59, 1.89)	0.64^* (0.38, 1.06)
Staffing ratio	0.93^*** (0.90, 0.95)	0.93^** (0.89, 0.97)	0.93^*** (0.88, 0.96)	0.93 (0.83, 1.04)	1.00 (0.90, 1.10)

Values indicate odds of not ordering a test per unit increase in the independent variable) Parentheses contain the 95 % confidence interval. ^*** indicates that the coefficient is significant at 1 % level, ^** indicates that the coefficient is significant at 5 % level and ^* indicates that the coefficient is significant at 10 % level.

ISSN: 1472-6963