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1.
Int J Tuberc Lung Dis ; 27(9): 675-681, 2023 09 01.
Article in English | MEDLINE | ID: mdl-37608483

ABSTRACT

BACKGROUND: TB-related stigma hampers access to diagnosis and treatment, making it important to understand the demographic and clinical characteristics associated with perceived TB stigma. TB stigma has not been studied in household contacts before, yet they comprise an important population for epidemic control, with high risk of infection.METHOD: A cross-sectional study was conducted among people with TB and household contacts in South Africa using a 12-item perceived TB stigma scale (score range: 0-36). Demographic and clinical characteristic data were collected using a close-ended questionnaire. A linear mixed-effects regression model was used to explore perceived TB stigma levels and its associated characteristics.RESULTS: The sample included 143 people with TB and 135 household contacts. The mean perceived TB stigma score among people with TB was 22.1 (95% CI 21.1-23.1) and 22.2 (95% CI 21.1-23.3) among household contacts. Being in the same household explained 24.3% variability in stigma perception. Residence in the urban study site (Soshanguve) and a positive HIV diagnosis were associated with higher perceived TB stigma score.CONCLUSIONS: People with TB and household contacts have similarly high prevalence of perceived TB stigma. Positive HIV status and urban location were associated with higher prevalence of perceived TB stigma.


Subject(s)
Epidemics , HIV Seropositivity , Tuberculosis , Humans , Cross-Sectional Studies , Tuberculosis/diagnosis , Tuberculosis/epidemiology , Linear Models
2.
Int J Tuberc Lung Dis ; 26(3): 268-275, 2022 Mar 01.
Article in English | MEDLINE | ID: mdl-35197167

ABSTRACT

BACKGROUND: Early presentation to healthcare facilities is critical for early diagnosis and treatment of TB. We studied self-reported time to care-seeking from the onset of TB symptoms among primary healthcare clinic (PHC) attendees in Limpopo Province, South Africa.METHODS: We used data from participants enrolled in a cluster-randomized trial of TB case finding in 56 PHC clinics across two health districts. We fitted log-normal accelerated failure time regression models and we present time ratios (TRs) for potential risk factors.RESULTS: We included 2,160 participants. Among the 1,757 (81%) diagnosed with active TB, the median time to care-seeking was 30 days (IQR 14-60); adults sought care later than children/adolescents (adjusted TR aTR 1.47, 95% CI 1.10-1.96). Among those not diagnosed with TB, the median was 14 days (IQR 7-60); being HIV-positive (aTR 1.57, 95% CI 1.03-2.40); having less than grade 8 education and currently smoking were associated with longer time to care-seeking. In the combined analysis, living with HIV and having underlying active TB was associated with faster care-seeking (TB status x HIV interaction: TR 0.68, 95% CI 0.48-0.96).CONCLUSION: Delay in care-seeking was associated with age, lower education and being a current smoker. TB awareness campaigns targeting these population groups may improve care-seeking behavior and reduce community TB transmission.


Subject(s)
Ambulatory Care Facilities , Patient Acceptance of Health Care , Tuberculosis , Adolescent , Adult , Child , Humans , Early Diagnosis , Risk Factors , South Africa/epidemiology , Tuberculosis/diagnosis , Delayed Diagnosis
3.
Int J Tuberc Lung Dis ; 25(9): 708-715, 2021 09 01.
Article in English | MEDLINE | ID: mdl-34802492

ABSTRACT

SETTING: Human mobility contributes to the spread of infectious diseases. South Africa has a long history of internal labor migration and a high burden of TB.METHODS: People newly diagnosed with TB in the Vhembe and Waterberg Districts of Limpopo answered a questionnaire regarding geographic movement over the past year. Participants were classified as 'highly mobile' (spending more than 30 nights at a residence other than their primary residence in the past year, or being ≥250 km from their primary residence at the time of the interview) or 'less mobile'. We explored associations between sociodemographic characteristics and high mobility, and between mobility and time to presentation at a clinic.RESULTS: Of the 717 participants included, 185 (25.7%) were classified as 'highly mobile'. Factors associated with high mobility included living with someone outside of Limpopo Province, HIV-positive status (men only), and current smoking (men only). Highly mobile individuals had similar care-seeking behavior as less mobile individuals (adjusted time ratio 0.9, 95% CI 0.6-1.2, P = 0.304)CONCLUSION: Highly mobile people with TB in Limpopo Province were more likely to live with people from outside the province, smoke, and have HIV. These patients had similar delays in seeking care as less mobile individuals.


Subject(s)
Ambulatory Care Facilities , HIV Infections , Tuberculosis , Humans , HIV Infections/epidemiology , South Africa/epidemiology , Tuberculosis/epidemiology
4.
Int J Tuberc Lung Dis ; 23(11): 1205-1212, 2019 11 01.
Article in English | MEDLINE | ID: mdl-31718757

ABSTRACT

SETTING: Fifty-six public clinics in Limpopo Province, South Africa.OBJECTIVE: To evaluate the association between tuberculosis (TB) patient costs and poverty as measured by a multidimensional poverty index.DESIGN: We performed cross-sectional interviews of consecutive patients with TB. TB episode costs were estimated from self-reported income, travel costs, and care-seeking time. Poverty was assessed using the South African Multidimensional Poverty Index (SAMPI) deprivation score (a 12-item household-level index), with higher scores indicating greater poverty. We used multivariable linear regression to adjust for age, sex, human immunodeficiency virus status and travel time.RESULTS: Among 323 participants, 108 (33%) were 'deprived' (deprivation score >0.33). For each 0.1-unit increase in deprivation score, absolute TB episode costs were 1.11 times greater (95%CI 0.97-1.26). TB episode costs were 1.19 times greater with each quintile of higher deprivation score (95%CI 1.00-1.40), but lower by a factor of 0.54 with each quintile of lower self-reported income (higher poverty, 95%CI 0.46-0.62).CONCLUSION: Individuals experiencing multidimensional poverty and the cost of tuberculosis illness in Limpopo, South Africa faced equal or higher costs of TB than non-impoverished patients. Individuals with lower self-reported income experienced higher costs as a proportion of household income but lower absolute costs. Targeted interventions are needed to reduce the economic burden of TB on patients with multidimensional poverty.


Subject(s)
Cost of Illness , Health Expenditures , Poverty , Tuberculosis, Pulmonary/economics , Adult , Cross-Sectional Studies , Female , Humans , Income , Linear Models , Male , Middle Aged , South Africa
5.
Int J Tuberc Lung Dis ; 23(6): 756-763, 2019 06 01.
Article in English | MEDLINE | ID: mdl-31315710

ABSTRACT

SETTING Fifty-five public clinics in northern South Africa. OBJECTIVE To estimate patient costs and identify the factors associated with catastrophic costs among individuals treated for tuberculosis (TB). DESIGN We performed cross-sectional interviews of consecutive patients at public clinics from October 2017 to January 2018. 'Catastrophic costs' were defined as costs totalling ≥20% of annual household income. For participants with no reported income, we considered scenarios where costs were considered non-catastrophic if 1) costs totalled RESULTS Among 327 participants, the estimated mean TB episode costs were US$365 (95%CI 233-498): out-of-pocket costs comprised 58% of costs, wages lost due to health care-seeking represented 26%, and income reduction accounted for 16% of costs. Ninety (28%) participants experienced catastrophic costs, which were associated with clinic travel times of 60-90 min (adjusted prevalence ratio [aPR] 1.7, 95%CI 0.9-3.1), unemployment (aPR 2.0, 95%CI 1.0-4.0) and having fewer household members (aPR 0.6, 95%CI 0.3-1.0). CONCLUSIONS In rural South Africa, catastrophic costs from TB are common and associated with distance to clinics, unemployment, and household size. These findings can help tailor social protection programs and enhance service delivery to patients at greatest risk of experiencing financial hardship. .


Subject(s)
Health Expenditures , Tuberculosis, Pulmonary/epidemiology , Adolescent , Adult , Cross-Sectional Studies , Family Characteristics , Female , Health Care Costs , Humans , Male , Middle Aged , Risk Factors , Rural Population , Socioeconomic Factors , South Africa/epidemiology , Tuberculosis, Pulmonary/economics , Tuberculosis, Pulmonary/etiology , Young Adult
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