| Literature DB >> 21235762 |
Jane M Cramm1, Anna P Nieboer.
Abstract
BACKGROUND: Tuberculosis (TB) and human immune virus/acquired immune deficiency syndrome (HIV/AIDS) stigmas affect public attitudes toward TB treatment and policy. This study examined 'stigmatizing' ideas and the view that 'TB patients should line-up in the chronic illness queue' in relation to preferences and attitudes toward TB treatment.Entities:
Year: 2011 PMID: 21235762 PMCID: PMC3025846 DOI: 10.1186/1475-9276-10-2
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Logistic regression analyses of TB treatment assistance preferences and TB stigmatizing ideas, HIV/AIDS stigmatizing ideas and the view that TB patients should be queued with other chronically ill patients.
| Assigning a DOTS volunteer to support them while on treatment | Providing porridge so TB patients do not take their medicine on an empty stomach | Assigning special queues or a special room at clinics | Giving TB patients a temporary disability grant so they can be financially independent while on treatment | Contacting people at work or school to inform them that the patient is not infectious because he/she is on treatment | |
|---|---|---|---|---|---|
| Adjusted OR | Adjusted OR | Adjusted OR | Adjusted OR | Adjusted OR | |
| TB stigma | 1.075 (0.933-1.225) | ||||
| HIV/AIDS Stigma | 1.122 (0.992-1.316) | 0.975 (0.828-1.104) | 0.960 (0.838-1.120) | 0.982 (0.831-1.109) | 0.937 (0.786-1.132) |
| TB patients queued with chronically ill | 0.873 (0.660-1.177) | ||||
| Constant | 0.950 | 1.161 | |||
| Model χ2 | x2 = 5.295 | ||||
| -2 log likelihood | 1381,757 | 1308.976 | 1126.231 | 1361.622 | 984.000 |
| Nagelkerke R2 | 0.029 | 0.011 | 0.008 | 0.054 | 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 = 1.
The tables stating the logistic regression models also adjust for gender and education.
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 | 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 | 0.772 (0.522-1.130) | 0.869 (0.630-1.210) | ||
| Constant | ||||
| Model χ2 | x2 = 1.817 | |||
| -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.