scholarly journals Tuberculosis among never-jailed drug abusers

2001 ◽  
Vol 7 (3) ◽  
pp. 461-464
Author(s):  
M. Askarian ◽  
A. Karmi

The best way to control tuberculosis in a community is active case-finding and treatment among high-risk groups. Upon admission to a correctional centre in 1997, 319 never-jailed drug addicts were enrolled in the present study. Statistically significant differences in skin-test positivity were found among males over 40 years old, those unemployed and injecting drug abusers. Among the sample, 8 cases of pulmonary tuberculosis were found. This is approximately 170 times the rate in the general population. Because of cost and time, we recommend the screening of drug addicts by mini-radiography instead of tuberculin skin test at admission.

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Jin-Ou Chen ◽  
Yu-Bing Qiu ◽  
Zulma Vanessa Rueda ◽  
Jing-Long Hou ◽  
Kun-Yun Lu ◽  
...  

Abstract Background The barriers to access diagnosis and receive treatment, in addition to insufficient case identification and reporting, lead to tuberculosis (TB) spreads in communities, especially among hard-to-reach populations. This study evaluated a community-based active case finding (ACF) strategy for the detection of tuberculosis cases among high-risk groups and general population in China between 2013 and 2015. Methods This retrospective cohort study conducted an ACF in ten communities of Dongchuan County, located in northeast Yunnan Province between 2013 and 2015; and compared to 136 communities that had passive case finding (PCF). The algorithm for ACF was: 1) screen for TB symptoms among community enrolled residents by home visits, 2) those with positive symptoms along with defined high-risk groups underwent chest X-ray (CXR), followed by sputum microscopy confirmation. TB incidence proportion and the number needed to screen (NNS) to detect one case were calculated to evaluate the ACF strategy compared to PCF, chi-square test was applied to compare the incidence proportion of TB cases’ demography and the characteristics for detected cases under different strategies. Thereafter, the incidence rate ratio (IRR) and multiple Fisher’s exact test were applied to compare the incidence proportion between general population and high-risk groups. Patient and diagnostic delays for ACF and PCF were compared by Wilcoxon rank sum test. Results A total of 97 521 enrolled residents were visited with the ACF cumulatively, 12.3% were defined as high-risk groups or had TB symptoms. Sixty-six new TB patients were detected by ACF. There was no significant difference between the cumulative TB incidence proportion for ACF (67.7/100000 population) and the prevalence for PCF (62.6/100000 population) during 2013 to 2015, though the incidence proportion in ACF communities decreased after three rounds active screening, concurrent with the remained stable prevalence in PCF communities. The cumulative NNS were 34, 39 and 29 in HIV/AIDS infected individuals, people with positive TB symptoms and history of previous TB, respectively, compared to 1478 in the general population. The median patient delay under ACF was 1 day (Interquartile range, IQR: 0–27) compared to PCF with 30 days (IQR: 14–61). Conclusions This study confirmed that massive ACF was not effective in general population in a moderate TB prevalence setting. The priority should be the definition and targeting of high-risk groups in the community before the screening process is launched. The shorter time interval of ACF between TB symptoms onset and linkage to healthcare service may decrease the risk of TB community transmission. Furthermore, integrated ACF strategy in the National Project of Basic Public Health Service may have long term public health impact.


2021 ◽  
pp. 2100090
Author(s):  
Anders Solitander Bohlbro ◽  
Victor Schwartz Hvingelby ◽  
Frauke Rudolf ◽  
Christian Wejse ◽  
Cecilie Blenstrup Patsche

The World Health Organization (WHO) recommends active case-finding (ACF) of Tuberculosis (TB) in certain high-risk groups; however, more evidence is needed to elucidate the scope of ACF beyond the current recommendations. In this study we aimed to systematically review yields (the prevalence of active TB) of studies on ACF in general populations and at-risk groups.The review protocol was registered with PROSPERO (registration no.: CRD42020206856). A literature search in PubMed, Embase, and CENTRAL was performed for studies concluded after 31/12/1999 and published before 01/09/2020. Screening yields were estimated and yield/prevalence ratios (ratio between yield of study and WHO estimated prevalence of TB) were calculated to assess which groups might especially benefit from ACF. Finally, risk of bias was assessed, and heterogeneity was investigated using meta-regression and sensitivity analyses.We included 197 studies, with a total of 12 372 530 screened and 53 158 cases found. Yields were high among drug users, close contacts, the poor and marginalised, people living with HIV (PLHIV), and prison inmates across incidence strata and estimated yield/prevalence ratios in screenings of general populations tended to be >1 with an overall ratio of 1.4 and ranging between 1.0 and 1.5. Sensitivity analyses suggested that inclusion of studies at high risk of bias contributed to underestimation of yields.Despite many studies using insensitive screening methods, these results suggest that more at-risk groups should be considered for inclusion in future screening recommendations and that screening of general populations may outperform current case-finding practices, providing evidence for extending ACF beyond the current recommendations.


2020 ◽  
Author(s):  
Naqibullah Hamdard ◽  
Alim Atarud ◽  
Khalid Seddiq ◽  
Anwar Hanif

Abstract BackgroundTuberculosis (TB) remains a global public health threat. World Health Organization (WHO) End TB strategy recommends that effective TB control relies on general health systems, especially, on integrated and well-functioning PHC facilities. Despite, integration in Basic Package of Health Services (BPHS), evidence demonstrates that a large number of TB cases are not captured. 25000 TB cases are missed every year (Aloudal, 2015). 49% of individuals, recorded at health facilities as presumptive to have TB have not been screened (HMIS, 2016). This study intended to evaluate different dimensions of TB surveillance system and the Primary Health Care (PHC) facilities' role in TB active case finding. MethodsWe conducted a cross-sectional study. The study was implemented in eleven provinces of Afghanistan in from August to November 2016. The geographic and demographic representativeness determined the choice of provinces. All primary health care facilities in studied provinces equated to 870, therefore, considering a 95 % confidence interval, a sample size of 161 facilities established the sample frame. A stratified sampling strategy facilitated the selection of sampled facilities within different categories from an inclusive list of all facilities.ResultsThe study found that the overall sensitivity of TB surveillance systems in-country is 56.30 %. This means that 43.70 % of 171 TB cases had remained undetected. 43.81 % of studies facilities used at least one accepted active case finding strategy while 56.20 % implemented none. In studied areas, 83.33 % of 11 studied DHs and 69.57 % of 35 studied CHCs had a referral system for MDR-TB patients.ConclusionTo enhance sensitivity and boost case findings, it is essential to implement case-finding strategies targeted at high-risk groups in specific areas. The high-risk groups include IDPs, returnees, slum residents, prisoners, and addicts. Additionally, it is necessary to train private pharmacists and traditional healers to identify and refer individuals with TB symptoms for follow up and further evaluation at the PHC level.


2021 ◽  
pp. 100776
Author(s):  
Flora Martinez Figueira Moreira ◽  
Renu Verma ◽  
Paulo Cesar Pereira dos Santos ◽  
Alessandra Leite ◽  
Andrea da Silva Santos ◽  
...  

2019 ◽  
Vol 23 (7) ◽  
pp. 830-837
Author(s):  
E. Bogdanova ◽  
O. Mariandyshev ◽  
S. G. Hinderaker ◽  
E. Nikishova ◽  
A. Kulizhskaya ◽  
...  

2020 ◽  
Vol 93 ◽  
pp. 84-89 ◽  
Author(s):  
Ye Ji ◽  
Hengfu Cao ◽  
Qiao Liu ◽  
Zhongqi Li ◽  
Huan Song ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document