Coping with drug resistant tuberculosis alongside COVID-19 and other stressors in Zimbabwe: A qualitative study

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.

Use of a Sustainable Livelihood Framework-Based Measure to Estimate Socioeconomic Impact of Tuberculosis on Households

Tuberculosis (TB) disproportionally affects impoverished members of society. The adverse socioeconomic impact of TB on households is mostly measured using money-centric approaches, which have been criticized as one-dimensional and risk either overestimating or underestimating the true socioeconomic impacts of TB. We propose the use of the sustainable livelihood framework, which includes 5 household capital assets (human, financial, physical, natural, and social) and conceptualizes that households employ accumulative strategies in times of plenty and coping (survival) strategies in response to shocks such as TB. The proposed measure ascertains to what extent the 5 capital assets are available to households affected by TB as well as the coping costs (reversible and nonreversible) that are incurred by households at different time points (intensive, continuation, and post-TB treatment phase). We assert that our approach is holistic and multidimensional and draws attention to multisectoral responses to mitigate the socioeconomic impact of TB on households.