Characterization of Mycobacterium bovis from Humans and Cattle in Namwala District, Zambia

Tuberculosis remains a major public health problem in Zambia. While human to human transmission of Mycobacterium tuberculosis is of major importance in driving the tuberculosis epidemic, the impact of Mycobacterium bovis transmission from infected cattle is largely unknown. This cross-sectional study aimed at molecular characterization of M. bovis in humans and cattle. A total of 100 human sputum samples and 67 bovine tissues were collected and analyzed for the presence of mycobacteria. Of 65 human samples that harbored acid fast bacteria (AFB), 55 isolates were obtained of which 34 were identified as M. tuberculosis and 2 as M. bovis. AFB-positive bovine samples (n=67) yielded 47 mycobacterial isolates among which 25 were identified as M. bovis and no M. tuberculosis was found. Among the M. bovis isolates, spoligotyping revealed a high homogeneity in genotypes circulating in Namwala district. Human and cattle isolates shared identical MIRU-VNTR genotypes, suggesting that transmission between the two hosts may occur. Therefore, this study has documented zoonotic TB in human patients in Namwala district of Zambia. However, further molecular epidemiological studies in the study area are recommended

Molecular epidemiology, drug susceptibility and economic aspects of tuberculosis in mubende district, Uganda

<div><p>Background</p><p>Tuberculosis (TB) remains a global public health problem whose effects have major impact in developing countries like Uganda. This study aimed at investigating genotypic characteristics and drug resistance profiles of <i>Mycobacterium tuberculosis</i> isolated from suspected TB patients. Furthermore, risk factors and economic burdens that could affect the current control strategies were studied.</p><p>Methods</p><p>TB suspected patients were examined in a cross-sectional study at the Mubende regional referral hospital between February and July 2011. A questionnaire was administered to each patient to obtain information associated with TB prevalence. Isolates of <i>M. tuberculosis</i> recovered during sampling were examined for drug resistance to first line anti-TB drugs using the BACTEC-MGIT960^TMsystem. All isolates were further characterized using deletion analysis, spoligotyping and MIRU-VNTR analysis. Data were analyzed using different software; MIRU-VNTR <i>plus</i>, SITVITWEB, BioNumerics and multivariable regression models.</p><p>Results</p><p><i>M. tuberculosis</i> was isolated from 74 out of 344 patients, 48 of these were co-infected with HIV. Results from the questionnaire showed that previously treated TB, co-infection with HIV, cigarette smoking, and overcrowding were risk factors associated with TB, while high medical related transport bills were identified as an economic burden. Out of the 67 isolates that gave interpretable results, 23 different spoligopatterns were detected, nine of which were novel patterns. T2 with the sub types Uganda-I and Uganda-II was the most predominant lineage detected. Antibiotic resistance was detected in 19% and multidrug resistance was detected in 3% of the isolates.</p><p>Conclusion</p><p>The study detected <i>M. tuberculosis</i> from 21% of examined TB patients, 62% of whom were also HIV positive. There is a heterogeneous pool of genotypes that circulate in this area, with the T2 lineage being the most predominant. High medical related transport bills and drug resistance could undermine the usefulness of the current TB strategic interventions.</p></div

Quality of medication information in discharge summaries from hospitals: an audit of electronic patient records

Background: Low quality of medication information in discharge summaries from hospitals may jeopardize optimal therapy and put the patient at risk for medication errors and adverse drug events. Objective: To audit the quality of medication information in discharge summaries and explore factors associated with the quality. Setting Helgelandssykehuset Mo i Rana, a rural hospital in central Norway. Method: For each month in 2013, we randomly selected 60 discharge summaries from the Department of Medicine and Surgery (totally 720) and evaluated the medication information using eight Norwegian quality criteria. Main outcome measure: Mean score per discharge summary ranging from 0 (lowest quality) to 16 (highest quality). Results: Mean score per discharge summary was 7.4 (SD 2.8; range 0–14), significantly higher when evaluating medications used regularly compared to mediations used as needed (7.80 vs. 6.52; p < 0.001). Lowest score was achieved for quality criteria concerning generic names, indications for medication use, reasons why changes had been made and information about the source for information. Factors associated with increased quality scores are increasing numbers of medications and male patients. Increasing age seemed to be associated with a reduced score, while type of department was not associated with the quality. Conclusion: In discharge summaries from 2013, we identified a low quality of medication information in accordance with the Norwegian quality criteria. Actions for improvement are necessary and follow-up studies to monitor quality are needed