Patient Non-compliance
Conditions
Keywords
adherence, HIV, MDR/XDR TB, Health Care Worker
Brief summary
The goals of this research are to understand adherence and retention in care for multi-and extensively drug-resistant tuberculosis (M/XDR-TB) patients using a mixed methods approach.
Detailed description
Tuberculosis (TB) remains the leading cause of morbidity and mortality worldwide among people living with HIV. Globally, incidence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug resistant tuberculosis (XDR-TB), the most drug-resistant forms of TB, has approximately doubled over the past fifteen years. Nowhere has this increased incidence generated more concern than in South Africa where interactions between TB and generalized HIV epidemics are causing 'explosive' TB incidence and case-fatality threatening to undermine the progress reached with antiretroviral therapy (ART). Medication adherence, a key predictor of outcomes in multi-and extensively drug-resistant tuberculosis (M/XDR-TB) and HIV treatment, is understudied in high burden TB/HIV settings. Patient losses during transitions in the care continuum are frequent, increase mortality and limit control of the linked epidemics. Demands of M/XDR-TB HIV treatment are severe including extraordinary pill burden, severe adverse effects, lengthy treatment, isolation and stigma with few parallels in modern medicine. This is a prospective observational cohort study for patients newly diagnosed with M/XDR-TB initiating treatment. A mixed method approach will be employed to address the complex research questions of distilling determinants of barriers and facilitators to both TB medications and ART; this study will employ complementary qualitative and quantitative methodologies for assessing differential adherence to TB medications and ART. A sub-set of patients and health care workers will be approached for participation in focus group discussions.
Interventions
None listed
Sponsors
Columbia University
Centre for the AIDS Programme of Research in South Africa
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
No
Inclusion criteria
1. Age ≥ 18 years 2. Mycobacterium Tuberculosis (MTB) culture positive with at least isoniazid and rifampicin resistance OR Molecular drug susceptibility test confirming resistance to at least isoniazid and rifampicin OR Polymerase chain reaction test (GeneXpert MTB/RIF) result showing MTB positive and RIF resistance. Patients enrolled with only a GeneXpert MTB/RIF result will be withdrawn if their subsequent susceptibility test or molecular drug susceptibility test reveals rifampicin monoresistance. 3. Initiating treatment for M/XDR-TB which includes at least 2 new medications 4. Have capacity for informed consent 5. HIV Positive Patients: on antiretroviral therapy (ART) or initiating ART within the following 4 weeks as per clinician recommendation
Exclusion criteria
1. Pregnancy 2. Prisoners 3. Discretion of the Investigator of Record or clinician
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Medication adherence based on electronic monitoring | 6 months | An electronic monitoring system (e.g., Wisepill technologies) will be used to measure adherence to antiretroviral therapy and treatment of multi- and extremely-drug resistant tuberculosis. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Medication adherence based on self-report | 6 months | Quantitative adherence will be measured using 30 day and 7 day recall. Average adherence to both antiretroviral therapy and tuberculosis treatment will be calculated for each patient |
| Sociomedical risk factors associated with six-month adherence to ART or TB medications | 6 months | Barriers and facilitators to medication adherence and retention in care for M/XDR-TB HIV patients will be identified through in-depth interviews and focus group discussions with patients and health care workers. To identify sociomedical risk factors associated with six-month adherence to ART or TB medications we will first identified risk factors associated with adherence in bivariate analysis and then multiple logistic regression models will be constructed including variables which are statistically significant and/or associated with \>10% change in effect measure. |
Countries
South Africa
Outcome results
None listed