Literature DB >> 29545471

Economic burden of HIV and TB/HIV coinfection in a middle-income country: a costing analysis alongside a pragmatic clinical trial in Brazil.

Noemia Teixeira de Siqueira-Filha1, Maria de Fatima Militao de Albuquerque2, Laura Cunha Rodrigues1, Rosa Legood1, Andreia Costa Santos1.   

Abstract

OBJECTIVE: The objective of this study was to measure the costs of people living with HIV (PLHIV) as well as active tuberculosis (TB/HIV), latent tuberculosis infection (LTBI/HIV) or without TB (HIV/AIDS).
METHODS: We analysed the costs through the entire pathway of care during the prediagnosis and treatment periods from the Brazilian public health system perspective. We applied a combination of bottom-up and top-down approaches to capture and estimate direct medical and non-medical costs. We measured the mean cost per patient per type of care (inpatient, outpatient and emergency care) and disease category (HIV/AIDS, HIV/AIDS death, TB/HIV, TB/HIV death and LTBI/HIV).
RESULTS: Between March 2014 and March 2016 we recruited 239 PLHIV. During the follow-up 26 patients were diagnosed and treated for TB and 5 received chemoprophylaxis for LTBI. During the prediagnosis and treatment period, the mean total costs for HIV or AIDS and AIDS death categories were US$1558 and US$2828, respectively. The mean total costs for TB/HIV and TB/HIV death categories were US$5289.0 and US$8281, respectively. The mean total cost for the LTBI/HIV category was US$882.
CONCLUSIONS: Patients with TB/HIV impose a higher economic burden on the health system than HIV/AIDS and LTBI/HIV. Patients with LTBI/HIV were the lowest cost group among all disease categories, indicating that preventive TB treatment can avoid the further costs treating active TB. TRIAL REGISTRATION NUMBER: RBR-22t943, Results. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  aids; economic analysis; tuberculosis

Mesh:

Year:  2018        PMID: 29545471     DOI: 10.1136/sextrans-2017-053277

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  2 in total

1.  Evaluation of cytokines as a biomarker to distinguish active tuberculosis from latent tuberculosis infection: a diagnostic meta-analysis.

Authors:  Beibei Qiu; Qiao Liu; Zhongqi Li; Huan Song; Dian Xu; Ye Ji; Yan Jiang; Dan Tian; Jianming Wang
Journal:  BMJ Open       Date:  2020-10-07       Impact factor: 2.692

2.  Risk Factors for TB/HIV Coinfection and Consequences for Patient Outcomes: Evidence from 241 Clinics in the Democratic Republic of Congo.

Authors:  Gulzar Hussain Shah; Raimi Ewetola; Gina Etheredge; Lievain Maluantesa; Kristie Waterfield; Elodie Engetele; Apolinaire Kilundu
Journal:  Int J Environ Res Public Health       Date:  2021-05-13       Impact factor: 3.390

  2 in total

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