Cancer patients are at high risk of antibiotic resistant bacterial urinary tract infections (UTIs). In this study, we assessed the bacterial profile and antibiotic resistance among cancer patients suspected of UTI in B.P. Koirala Memorial Cancer Hospital in Nepal through a cross-sectional study with routinely collected data. All cancer patients who had a recorded urine culture between July 2018–June 2019 were included in the study. Out of 308 patients who had undergone culture, 73 (24%) of samples had bacterial growth. The most common organisms isolated were E. coli (58%), Staphylococcus (11%) and Klebsiella (10%). These bacteria had undergone susceptibility testing to 27 different antibiotics in various proportions. Of the limited antibiotic testing levels, nitrofurantoin (54/66, 82%) and amikacin (30/51, 59%) were the most common. Among those tested, there were high levels of resistance to antibiotics in the “Access” and “Watch” groups of antibiotics (2019 WHO classification). In the “Reserve” group, both antibiotics showed resistance (polymyxin 15%, tigecycline 8%). Multidrug resistance was seen among 89% of the positive culture samples. This calls for urgent measures to optimize the use of antibiotics in UTI care at policy and health facility levels through stewardship to prevent further augmentation of antibiotic resistance among cancer patients.

Early diagnosis and treatment is vital for effective tuberculosis (TB) management especially among migrant populations who are a vulnerable group. We aimed to study factors associated with delay before registration at country level among registered migrant TB patients in China (2014–15) who were transferred out (during treatment) through web-based TB information management system (TBIMS). This was a cross sectional study involving review of TBIMS data. Delays (in days) were classified as follows: patient delay (from symptom onset to first doctor visit), health system delay (from first doctor visit to treatment initiation, divided into health system diagnosis and treatment delay before and after date of diagnosis respectively), diagnosis delay (from symptom onset to diagnosis) and total delay (from symptom onset to treatment initiation). Linear regression was used to build a predictive model (forward stepwise) for the socio-demographic, clinical and health system related factors associated with delay: one model for each type of delay. Delays were log transformed and included in the model. The median (IQR) patient delay, health system delay and total delay was 16 (6, 34), two (0, 6) and 22 (11, 41) days respectively. Factors associated with long patient, diagnosis and total delay were: female gender, age ≥ 65 years, sputum smear positive pulmonary TB and registration at referral hospital. Treatment initiation delay was significantly higher among those registered in referral hospitals, unemployed and previously treated. Among migrant patients having permanent residence out of province, health system diagnosis delay was significantly higher while treatment initiation delay after diagnosis was significantly lower when compared to patients having permanent residence within the prefecture. Among migrant population with TB, patient delay contributed to the total delay. The factors identified including the need for improved coordination between referral hospitals and national programme have to be addressed if China has to end TB.

A cross-sectional descriptive study was conducted with self-administered questionnaires among 368 Myanmar migrant workers to investigate the prevalence of and to determine the risk factors for musculoskeletal disorders (MSDs) in the Thai seafood industry. The results showed the prevalence of MSDs was 45.1% occurring in the last 7 days. Marital status, number of dependents, other health problems, working hours, repetitive hand movements, awkward posture of wrists, prolonged standing, and manual handling of heavy loads were found to be associated with MSDs. Multiple logistic regression indicated that the workers who were married, had more than two dependents, and had more exposure to awkward wrist postures were at significantly increased risk of MSDs. The study findings suggest the need for adequate knowledge of ergonomics and for awareness campaign programs focusing on prevention of MSDs, especially low back pain, to be initiated in industries for earlier detection of symptoms among seafood processing workers.

We assessed the effect of an active case finding (ACF) project on tuberculosis (TB) case notification and the yields from a household and neigbourhood intervention (screening contacts of historical index TB patients diagnosed >24months ago) and a community intervention (screening attendants of health education sessions/mobile clinics). Cross-sectional analysis of project records, township TB registers and annual TB reports. In the household and neigbourhood intervention, of 56,709 people screened, 1,076 were presumptive TB and 74 patients were treated for active TB with a screening yield of 0.1% and a yield from presumptive cases of 6.9%. In the community intervention, of 162,881 people screened, 4,497 were presumptive TB and 984 were treated for active TB with a screening yield of 0.6% and yield from presumptive cases of 21.9%. Of active TB cases, 94% were new, 89% were pulmonary, 44% were bacteriologically-confirmed and 5% had HIV. Case notification rates per 100,000 in project townships increased from 142 during baseline (2011-2013) to 148 during intervention (2014-2016) periods. The yield from household and neigbourhood intervention was lower than community intervention. This finding highlights reconsidering the strategy of screening of contacts from historical index cases. Strategies to reach high-risk groups should be explored for future ACF interventions to increase yield of TB.

In China, internal migrants constitute one-fifth of tuberculosis (TB) patients registered for treatment in web-based TB information management system (TBIMS). Though China added a specific module in the web-based TBIMS in 2009, web-based transfer-out is not specifically recommended in the national guidelines. In this country wide study among all registered migrant TB patients (2014–2015) that were transferred out using web-based TBIMS in China, to determine the i) timing of transfer-out in relation to period of treatment; ii) delay and attrition during transfer interval (between transfer-out and transfer-in); and iii) extent and risk factors for ‘not evaluated’ as the treatment outcome. This was a cohort study involving review of web-based TBIMS data. Modified Poisson regression was used to build a predictive model for risk factors of ‘not evaluated’ as the treatment outcome. Among 7 284 patients, 5 900 (81.0%) were transferred out during the first two months after initiation of treatment or before treatment initiation and 7 088 (97.3%) patients had arrived at transfer-in unit. The median transfer interval was three (interquartile range: 0–14) days. Sixteen percent (1 176/7 284) patients had ‘not evaluated’ as their treatment outcome. ‘Not evaluated’ contributed to 66% of the unfavourable outcomes. Patients transferred from referral hospitals, migrated from out of prefecture, transferred out of prefecture, with sputum smear negative pulmonary TB, with TB pleurisy and with long delay between symptom onset and treatment initiation had significantly higher risk of ‘not evaluated’ as the outcome. Web-based transfer helped as the delay and attrition during the transfer interval was quite short and treatment outcomes of more than four-fifths of transferred out migrant TB patients were available with transfer-out BMU. Once strategies to address the independent predictors of ‘not evaluated’ treatment outcome are devised, China may consider mandatory use of web-based TBIMS for transferring out migrant TB patients.

SETTING: Several projects involving accelerated or active case finding (ACF) of tuberculosis (TB) cases are being implemented in Myanmar. However, there is a concern that patients detected using ACF have poorer TB treatment outcomes than those detected using passive case finding (PCF). OBJECTIVE: To assess differences in the demographics, clinical profile and treatment outcomes of patients detected using ACF and PCF. DESIGN: Retrospective cohort study of TB patients diagnosed and enrolled for treatment during 2014-2016. RESULTS: Of 16 048 patients enrolled, 2226 (16%) were detected using ACF; the treatment success rate (cured and completed) was 88%. A higher proportion of cases detected using ACF were aged >= 55 years, human immunodeficiency virus (HIV) negative and sputum smear-positive pulmonary TB. After adjusting for differences in demographic and clinical characteristics, we found that treatment outcomes in patients detected using ACF and PCF were not significantly different (adjusted relative risk [aRR] 0.89, 95%CI 0.78-1.00). Male sex, age >= 55 years, patients with a previous history of TB and HIV positivity were independently associated with unsuccessful outcomes. CONCLUSION: ACF detected a significant proportion of TB cases in study townships; treatment outcomes in cases detected using ACF and those detected using PCF were similar. More tailored interventions are needed to improve treatment outcomes in patients at a higher risk of unsuccessful treatment outcomes.