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Testing for Drug-Related Infectious Diseases and Determinants among People Who Use Drugs in a Low-Resource Setting: A Respondent-Driven Cross-Sectional Survey
被引:0
|作者:
Likindikoki, Samuel Lazarus
[1
,2
]
Mmbaga, Elia J.
[1
,3
]
Mizinduko, Mucho
[1
]
Alexander, Mwijage
[4
]
Adams, Lisa, V
[5
]
Horsburgh Jr, Robert Jr
[6
]
Moen, Kare
[3
]
Leyna, Germana
[1
,7
]
Lange, Theis
[8
]
Tersbol, Britt P.
[3
]
Leshabari, Melkizedeck
[4
]
Meyrowitsch, Dan W.
[8
]
机构:
[1] Muhimbili Univ Hlth & Allied Sci, Dept Epidemiol & Biostat, Dar Es Salaam 11101, Tanzania
[2] Muhimbili Univ Hlth & Allied Sci, Dept Psychiat & Mental Hlth, Dar Es Salaam 11101, Tanzania
[3] Univ Oslo, Inst Hlth & Soc, Dept Community Med & Global Hlth, NO-0316 Oslo, Norway
[4] Muhimbili Univ Hlth & Allied Sci, Dept Behav Sci, Dar Es Salaam 11101, Tanzania
[5] Audrey & Theodor Geisel Sch Med Dartmouth, Hanover, NH USA
[6] Boston Univ, Sch Publ Hlth, Boston, MA 02108 USA
[7] Tanzania Food & Nutr Ctr, Dar Es Salaam 11101, Tanzania
[8] Univ Copenhagen, Dept Publ Hlth, Global Hlth Sect, DK-0917 Copenhagen, Denmark
关键词:
infectious diseases;
HIV;
TB;
STIs;
viral hepatitis;
testing;
PWUD;
low-resource setting;
Tanzania;
INJECT DRUGS;
HEPATITIS-B;
TUBERCULOSIS;
VIRUS;
D O I:
10.3390/tropicalmed7090213
中图分类号:
R51 [传染病];
学科分类号:
100401 ;
摘要:
(1) Background: There is a dearth of data on the levels and determinants of testing for drug-related infectious diseases among people who use drugs (PWUD). We assessed the proportions and determinants of testing for drug-related infectious diseases to inform ongoing interventions for PWUD. (2) Methods: A cross-sectional study involving 599 PWUD was conducted in Dar es Salaam and Tanga between January and February 2019. Data were collected through a researcher-administered questionnaire using handheld tablets. Logistic regression models were used to identify independent testing determinants for drug-related infectious diseases. (3) Results: A majority (98.0%) of participants were males, with a mean age of 36.8 (SD = 7.8) years. 75.0%, 40.6%, 38.6%, and 8.2% reported having ever tested for HIV, tuberculosis (TB), sexually transmitted infections (STIs), and viral hepatitis, respectively. The likelihood of HIV testing was higher among those living with someone (AOR = 2.18, 95% CI: 1.09-4.68) compared with those who were homeless and perceived treatment was appropriate (AOR = 2.18, 95% CI: 1.05-4.46), but was lower among those who experienced mild to moderate (AOR = 0.44, 95% CI: 0.21-0.95) and severe internalized stigma (AOR = 0.44, 95% CI: 0.22-0.94) compared with those reporting no internalized stigma, and among those who experienced financial difficulties resulting from spending on health care services (AOR = 0.60, 95% CI: 0.40-0.89). Perception of treatment appropriateness (AOR = 2.29, 96% CI: 1.10-5.06) and severe enacted stigma (AOR = 1.90, 95% CI: 1.06-3.42) were associated with increased odds of TB testing. The odds of STIs testing increased among those who were married (AOR = 2.31, 95% CI: 1.45-3.72) compared with those who were single and those who had experienced mild (AOR = 2.39, 95% CI: 1.28-4.53) or severe (AOR = 6.20, 95% CI: 1.99-23.83) sexual violence, compared with those who had not experienced sexual violence. However, the odds decreased among those who had been remanded in the past month (AOR = 0.64, 95% CI: 0.43-0.95) compared with those who were not remanded and among those who had financial difficulties resulting from spending on health care services (AOR = 0.66, 95% CI: 0.47-0.94). The likelihood of testing for viral hepatitis testing increased among those who had heard about the comprehensive HIV intervention package (CHIP) (AOR = 2.59, 95% CI: 1.40-4.94); however, it decreased among those who had financial difficulties resulting from spending on health care services (AOR = 0.48, 95% CI: 0.24-0.92). (4) Conclusions: Except for HIV, PWUD had undergone limited testing for drug-related infectious diseases. The study findings highlight some factors influencing testing for the selected infectious diseases investigated, which should be targeted for tailored interventions to improve diagnosis and treatment.
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