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


Journal

PLOS global public health
ISSN: 2767-3375
Titre abrégé: PLOS Glob Public Health
Pays: United States
ID NLM: 9918283779606676

Informations de publication

Date de publication:
2024
Historique:
received: 02 12 2023
accepted: 10 05 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 7 6 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38848427
doi: 10.1371/journal.pgph.0002745
pii: PGPH-D-23-02368
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0002745

Informations de copyright

Copyright: © 2024 Timire et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Collins Timire (C)

Clinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
AIDS & TB Department, Ministry of Health and Child Care, Harare, Zimbabwe.
The Health Research Unit Zimbabwe, Biomedical Research & Training Institute, Harare, Zimbabwe.

Rein M G J Houben (RMGJ)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Debora Pedrazzoli (D)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Rashida A Ferrand (RA)

Clinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
The Health Research Unit Zimbabwe, Biomedical Research & Training Institute, Harare, Zimbabwe.

Claire J Calderwood (CJ)

Clinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
The Health Research Unit Zimbabwe, Biomedical Research & Training Institute, Harare, Zimbabwe.

Virginia Bond (V)

Department of Global Health and Development, Faculty of Public Health and Policy London School of Hygiene &Tropical Medicine, London, United Kingdom.
Social Sciences Unit, Zambart, Lusaka, Zambia.

Fredrick Mbiba (F)

The Health Research Unit Zimbabwe, Biomedical Research & Training Institute, Harare, Zimbabwe.

Katharina Kranzer (K)

Clinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
The Health Research Unit Zimbabwe, Biomedical Research & Training Institute, Harare, Zimbabwe.
Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Germany.
German Center for Infection Research (DZIF), Munich, Germany.

Classifications MeSH