Tuberculosis patients with higher levels of poverty face equal or greater costs of illness

Enriching tuberculosis research by measuring poverty better: a perspective

The relationship between poverty and tuberculosis (TB) is well-documented, as socio-economic deprivation constitutes a risk factor that drives TB transmission and progression while hindering treatment adherence. Despite the importance of controlling for socio-economic status (SES) in TB research, no universally accepted tool exists to measure multidimensional poverty's impact on TB-affected households. This article provides an overview of existing SES assessment tools, including income-based measures, wealth indices like the Demographic and Health Survey (DHS) and the International Wealth Index (IWI), and multidimensional indices, such as the global Multidimensional Poverty Index (MPI). Each method's strengths and limitations are considered, particularly in light of the complex deprivations relevant to TB. Recognizing the distinct SES determinants of TB, we emphasize the need for multidimensional, standardized SES measures that are contextually relevant and feasible for TB epidemiology, programmatic evaluations, and translational research. By advancing poverty metrics in TB studies, the global community can better address socio-economic drivers of TB and prioritize pro-poor interventions, fostering equitable health outcomes.

Demographic and socioeconomic disparity in knowledge, attitude, and practice towards tuberculosis in Northwest, China: evidence from multilevel model study

BACKGROUND

Tuberculosis (TB) remains a serious global public health problem in China. The right knowledge, attitude, and practice (KAP) towards TB are indispensable to appropriate healthcare-seeking behaviors and treatment services timely. However, there are few studies that addressed the KAP towards TB in high-risk and under-developing regions in China. This study aims to evaluate the KAP towards TB in Ningxia Northwest, China, and identify factors that influence it. The findings can guide future health education and promotion interventions.

METHODS

A stratified multistage random sampling method was used to conduct a face-to-face questionnaire survey with 33 items for selected residents. The composite score of Knowledge, Attitudes, and Practices (KAP) was divided into two groups, which are poor (scores below the average) and good (scores above the average). A two-level logistic model with a random intercept equation accounted for the similarity of residents within communities to examine the association between individual-level KAP and demographic and socioeconomic factors.

RESULTS

A total of 2,341 residents were recruited, the mean age was 50, and 41.2% were female. The percentages of residents who were total awareness of TB knowledge and had positive attitudes and behavior toward TB were 51.9%, 75.3%, and 76.2%, respectively. The two-level logistic model demonstrated that residents with a high annual family income, urban living, primary school education or higher, occupation of teacher or doctor, a very good self-perceived status, medical insurance, knowing DOTS, and family members or friends with TB history had better knowledge of TB (P < 0.05). Residents living in urban areas, with junior and senior high school education, a very good self-perceived status, health insurance, knowing DOTS, and family members or friends with TB history had positive attitude of TB (P < 0.05). Residents living in urban areas, a primary school education or higher, occupation of teacher, doctor and workers, a very good self-perceived status, medical insurance, knowing DOTS, and family members or friends with TB history had positive practice of TB (P < 0.05).

CONCLUSIONS

Favorable demographic (higher education levels, teachers or doctors) and socioeconomic (high income, living in urban area) factors are associated to better knowledge, attitudes and practices toward TB in Northwest China. Interventions to improve KAP at the community level are required to speed up the TB reduction rate, which may benefit to ensure the End TB Strategy will be achieved.

Higher loss of livelihood and impoverishment in households affected by tuberculosis compared to non-tuberculosis affected households in Zimbabwe: A cross-sectional study

Tuberculosis (TB) disproportionally affects poor people, leading to income and non-income losses. Measures of socioeconomic impact of TB, e.g. impoverishment and patient costs are inadequate to capture non-income losses. We applied impoverishment and a multidimensional measure on TB and non-TB affected households in Zimbabwe. We conducted a cross-sectional study in 270 households: 90 non-TB; 90 drug-susceptible TB (DS-TB), 90 drug-resistant TB (DR-TB) during the COVID-19 pandemic (2020-2021). Household data included ownership of assets, number of household members, income and indicators on five capital assets: financial, human, social, natural and physical. Households with incomes per capita below US$1.90/day were considered impoverished. We used principal component analysis on five capital asset indicators to create a binary outcome variable indicating loss of livelihood. Log-binomial regression was used to determine associations between loss of livelihood and type of household. TB-affected households were more likely to report episodes of TB and household members requiring care than non-TB households. The proportions of impoverished households were 81% (non-TB), 88% (DS-TB) and 94% (DR-TB) by the time of interview. Overall, 56% (152/270) of households sold assets: 44% (40/90) non-TB, 58% (52/90) DS-TB and 67% (60/90) DR-TB. Children's education was affected in 33% (55/168) of TB-affected compared to 14% (12/88) non-TB households. Overall, 133 (50%) households experienced loss of livelihood, with TB-affected households almost twice as likely to experience loss of livelihood; adjusted prevalence ratio (aPR = 1.78 [95%CI:1.09-2.89]). The effect of TB on livelihood was most pronounced in poorest households (aPR = 2.61, [95%CI:1.47-4.61]). TB-affected households experienced greater socioeconomic losses compared to non-TB households. Multisectoral social protection is crucial to mitigate impacts of TB and other shocks, especially targeting poorest households.

Higher loss of livelihood and impoverishment in households affected by tuberculosis compared to non-tuberculosis affected households in Zimbabwe: a cross-sectional study

Introduction

Tuberculosis (TB) disproportionally affects poor people, leading to income and non-income losses. Measures of socioeconomic impact of TB, e.g. impoverishment and patient costs are inadequate to capture non-income losses. We applied impoverishment and a multidimensional measure on TB and non-TB affected households in Zimbabwe.

Methods

We conducted a cross-sectional study in 270 households: 90 non-TB; 90 drug-susceptible TB (DS-TB), 90 drug-resistant TB (DR-TB) during the COVID-19 pandemic (2020-2021). Household data included ownership of assets, number of household members, income and indicators on five capital assets: financial, human, social, natural and physical. We determined proportions of impoverished households for periods 12 months prior and at the time of the interview. Households with incomes below US$1.90/day were considered to be impoverished. We used principal component analysis on five capital asset indicators to create a binary outcome variable indicating loss of livelihood. Log-binomial regression was used to determine associations between loss of livelihood and type of household.

Results

TB-affected households reported higher previous episodes of TB and household members requiring care than non-TB households. Households that were impoverished 12 months prior to the study were: 21 non-TB (23%); 40 DS-TB (45%); 37 DR-TB (41%). The proportions increased to 81%, 88% and 94%, respectively by the time of interview. Overall, 56% (152/270) of households sold assets: 44% (40/90) non-TB, 58% (52/90) DS-TB and 67% (60/90) DR-TB. Children's education was affected in 31% (56/180) of TB-affected compared to 13% (12/90) non-TB households. Overall, 133(50%) households experienced loss of livelihood, with TB-affected households twice as likely to experience loss of livelihood; adjusted prevalence ratio (aPR=2.02 (95%CI:1.35-3.03)). The effect of TB on livelihood was most pronounced in poorest households (aPR=2.64, (95%CI:1.29-5.41)).

Conclusions

TB-affected households experienced greater socioeconomic losses compared to non-TB households. Multidimensional measures of TB are crucial to inform multisectoral approaches to mitigate impacts of TB and other shocks.

"I'm suffering for food": Food insecurity and access to social protection for TB patients and their households in Cape Town, South Africa

BACKGROUND

Tuberculosis (TB) is a major health concern and the number one cause of death in South Africa. Social protection programmes can strengthen the resilience of TB patients, their families and households. This study aimed to get a better understanding of the role of social protection and other forms of support in relation to the burden of TB on patients and their households in South Africa.

METHODS

This is a cross-sectional exploratory qualitative study using a phenomenological approach to focus on the lived experiences and perceptions of TB patients and healthcare workers. We interviewed 16 patients and six healthcare workers and analysed data thematically.

RESULTS

The challenges faced by participants were closely related to household challenges. Participants reported a heavy physical burden, aggravated by a lack of nutritious food and that households could not provide the food they needed. Some needed to resort to charity. At the same time, households were significantly affected by the burden of caring for the patient-and remained the main source of financial, emotional and physical support. Participants reported challenges and costs associated with the application process and high levels of discretion by the assessing doctor allowing doctors' opinions and beliefs to influence their assessment.

CONCLUSION

Access to adequate nutritious food was a key issue for many patients and this need strained already stretched households and budgets. Few participants reported obtaining state social protection support during their illness, but many reported challenges and high costs of trying to access it. Further research should be conducted on support mechanisms and interventions for TB patients, but also their households, including food support, social protection and contact tracing. In deciding eligibility for grants, the situation of the household should be considered in addition to the individual patient.

Educational level and tuberculosis mortality in Colombia: growing inequalities and stagnation in reduction

We aim to describe the role of educational inequalities, for sex and age groups, in adult tuberculosis (TB) mortality in Colombia, 1999-2017. We linked mortality data to data estimation of the national population based on censuses and surveys to obtain primary, secondary, and tertiary adult (25+ years of age) age-standardized mortality rates (ASMR) by educational level. Thus, a population-based study was conducted using national secondary mortality data between 1999 and 2017. Tuberculosis age-standardized mortality rates were calculated separately by educational level, sex, and age groups, using Poisson regression models. Educational relative inequalities in adult mortality were evaluated by calculating the rate ratio, and the relative index of inequality (RII). Trends and joinpoints were evaluated by annual percentage change (APC). We found that, out of the 19,720 TB deaths reported, 69% occurred in men, and 45% in older adults (men and women, aged 65+). Men presented higher TB mortality rates than women (ASMR men = 7.1/100,000 inhabitants, ASMR women = 2.7/100,000 inhabitants). As mortality was consistently higher in the lowest educational level for both sexes and all age groups, inequalities in TB mortality were found to be high (RII = 9.7 and 13.4 among men and women, respectively) and growing at an annual rate of 8% and 1%. High and increasing inequalities, regarding educational level, in TB mortality in Colombia suggest the need to comprehensively address strategies for reducing TB by considering social determinants and including health education strategies throughout the country.

Adaptation of WHO's generic tuberculosis patient cost instrument for a longitudinal study in Africa

The WHO developed a generic 'TB patient cost survey' tool and a standardized approach to assess the direct and indirect costs of TB incurred by patients and their households, estimate the proportion of patients experiencing catastrophic costs, and measure the impact of interventions to reduce patient costs. While the generic tool is a facility-based cross-sectional survey, this standardized approach needs to be adapted for longitudinal studies. A longitudinal approach may overcome some of the limitations of a cross-sectional design and estimate the economic burden of TB more precisely. We describe the process of creating a longitudinal instrument and its application to the TB Sequel study, an ongoing multi-country, multi-center observational cohort study. We adapted the cross-sectional WHO generic TB patient cost survey instrument for the longitudinal study design of TB Sequel and the local context in each study country (South Africa, Mozambique, Tanzania, and The Gambia). The generic instrument was adapted for use at enrollment (start of TB treatment; Day 0) and at 2, 6, 12 and 24 months after enrollment, time points intended to capture costs incurred for diagnosis, during treatment, at the end of treatment, and during long-term follow-up once treatment has been completed. These time points make the adapted version suitable for use in patients with either drug-sensitive or drug-resistant TB. Using the adapted tool provides the opportunity to repeat measures and make comparisons over time, describe changes that extend beyond treatment completion, and link cost survey data to treatment outcomes and post-TB sequelae. Trial registration: ClinicalTrials.gov: NCT032516 August 1196, 2017. Abbreviations: DOTS: Directly observed treatment, short-course; DR-TB: Drug-resistant tuberculosis; MDR-TB: Multi-drug resistant tuberculosis; NTP: National Tuberculosis Programme; TB: Tuberculosis; USD: United States Dollar; WHO: World Health Organization.

Barriers to accessing TB clinics among Myanmar TB patients attending a Thailand‐Myanmar border hospital: a qualitative approach

Purpose

This qualitative approach study aimed to understand the barriers to accessing a tuberculosis (TB) clinic in a Thai hospital as experienced by TB patients from Myanmar living on the Thailand-Myanmar border.

Design/methodology/approach

Twenty-two participants were asked to provide information. In-depth interviews were used to gather the information. Each interview lasted 40 min.

Findings

TB patients from Myanmar experience several barriers to accessing TB treatment and care at Mae Sai Hospital, such as language and economic problems, although they are very satisfied with the quality of service and positive attitude of the health care providers. A long waiting time and lack of explanation of the pathogenesis of TB were noted as negative aspects by the patients and their relatives. The medical staff at the TB clinic were negatively affected by the excessive workload and unsuitability of some methods or technologies. Using budgetary subsidies from agencies to fund TB care and treatment was not sustainable. Foreign TB patients are not subsidized by the national universal insurance scheme of Thailand, and sending TB patients back to their home country is sometimes unavoidable.

Originality/value

Thailand and Myanmar should strengthen their collaboration and develop a system to improve the quality of TB patient care and management for those who are living in poverty and lack education, by focusing on reducing language and economic barriers to accessing health care services including support for medicines and laboratory materials related to TB case management among these populations.

A clinical score for identifying active tuberculosis while awaiting microbiological results: Development and validation of a multivariable prediction model in sub-Saharan Africa

BACKGROUND

In highly resource-limited settings, many clinics lack same-day microbiological testing for active tuberculosis (TB). In these contexts, risk of pretreatment loss to follow-up is high, and a simple, easy-to-use clinical risk score could be useful.

METHODS AND FINDINGS

We analyzed data from adults tested for TB with Xpert MTB/RIF across 28 primary health clinics in rural South Africa (between July 2016 and January 2018). We used least absolute shrinkage and selection operator regression to identify characteristics associated with Xpert-confirmed TB and converted coefficients into a simple score. We assessed discrimination using receiver operating characteristic (ROC) curves, calibration using Cox linear logistic regression, and clinical utility using decision curves. We validated the score externally in a population of adults tested for TB across 4 primary health clinics in urban Uganda (between May 2018 and December 2019). Model development was repeated de novo with the Ugandan population to compare clinical scores. The South African and Ugandan cohorts included 701 and 106 individuals who tested positive for TB, respectively, and 686 and 281 randomly selected individuals who tested negative. Compared to the Ugandan cohort, the South African cohort was older (41% versus 19% aged 45 years or older), had similar breakdown of biological sex (48% versus 50% female), and had higher HIV prevalence (45% versus 34%). The final prediction model, scored from 0 to 10, included 6 characteristics: age, sex, HIV (2 points), diabetes, number of classical TB symptoms (cough, fever, weight loss, and night sweats; 1 point each), and >14-day symptom duration. Discrimination was moderate in the derivation (c-statistic = 0.82, 95% CI = 0.81 to 0.82) and validation (c-statistic = 0.75, 95% CI = 0.69 to 0.80) populations. A patient with 10% pretest probability of TB would have a posttest probability of 4% with a score of 3/10 versus 43% with a score of 7/10. The de novo Ugandan model contained similar characteristics and performed equally well. Our study may be subject to spectrum bias as we only included a random sample of people without TB from each cohort. This score is only meant to guide management while awaiting microbiological results, not intended as a community-based triage test (i.e., to identify individuals who should receive further testing).

CONCLUSIONS

In this study, we observed that a simple clinical risk score reasonably distinguished individuals with and without TB among those submitting sputum for diagnosis. Subject to prospective validation, this score might be useful in settings with constrained diagnostic resources where concern for pretreatment loss to follow-up is high.

The TB REACH Initiative: Supporting TB Elimination Efforts in the Asia-Pacific

After many years of TB 'control' and incremental progress, the TB community is talking about ending the disease, yet this will only be possible with a shift in the way we approach the TB response. While the Asia-Pacific region has the highest TB burden worldwide, it also has the opportunity to lead the quest to end TB by embracing the four areas laid out in this series: using data to target hotspots, initiating active case finding, provisioning preventive TB treatment, and employing a biosocial approach. The Stop TB Partnership's TB REACH initiative provides a platform to support partners in the development, evaluation and scale-up of new and innovative technologies and approaches to advance TB programs. We present several approaches TB REACH is taking to support its partners in the Asia-Pacific and globally to advance our collective response to end TB.