The relationship between (stigmatizing) views and lay public preferences regarding tuberculosis treatment in the Eastern Cape, South Africa

Table 2 Logistic regression analyses of TB treatment preferences and TB stigmatizing ideas, HIV/AIDS stigmatizing ideas and the view that TB patients should be queued up with other chronically ill patients.

	TB hospital	Clinic	Family member collecting medicine	DOTS volunteer collecting medicine
	Adjusted OR	Adjusted OR	Adjusted OR	Adjusted OR
TB stigma	0.784 (0.657-0.899)	1.326 (1.153-1.537)	1.030 (0.838-1.294)	0.841 (0.684-1.056)
HIV/AIDS Stigma	1.122 (0.957-1.276)	0.975 (0.836-1.121)	0.966 (0.778-1.214)	0.859 (0.712-1.058)
TB patients queued with chronically ill	1.135 (0.997-1.267)	0.950 (0.825-1.082)	0.772 (0.522-1.130)	0.869 (0.630-1.210)
Constant	0.339	0.643	0.167	0.289
Model χ²	x ² = 26.003	x ² = 21.687	x² = 1.817	x ² = 7.646
-2 log likelihood	1340.191	1275.412	687.333	901.778
Nagelkerke R²	0.034	0.029	0.004	0.013

Notes: Figures in bold are statistically significant at p < 0.05.
Not stigmatizing ideas = 0; stigmatizing ideas = 1.
It does not help to put TB patients in a queue with other chronically ill patients = 0; it does help to put TB patients in a queue with other chronically ill patients
The tables stating the logistic regression models also adjust for gender and education.

ISSN: 1475-9276