MATERIALS AND METHODS: Using registry-based secondary data, a retrospective cohort study was conducted. TB patients' sociodemographic characteristics, clinical disease data and treatment outcomes at one-year surveillance were extracted from the database and analyzed. Logistic regression analysis was used to determine factors associated with unsuccessful treatment outcomes and all-cause mortality.
RESULTS: A total of 97,505 TB cases (64.3% males) were included in this study. TB treatment success (cases categorized as cured and completed treatment) was observed in 80.7% of the patients. Among the 19.3% patients with unsuccessful treatment outcomes, 10.2% died, 5.3% were lost to follow-up, 3.6% had outcomes not evaluated while the remaining failed treatment. Unsuccessful TB treatment outcomes were found to be associated with older age, males, foreign nationality, urban dwellers, lower education levels, passive detection of TB cases, absence of bacille Calmette-Guerin (BCG) scar, underlying diabetes mellitus, smoking, extrapulmonary TB, history of previous TB treatment, advanced chest radiography findings and human immunodeficiency virus (HIV) infection. Factors found associated with all-cause mortality were similar except for nationality (higher among Malaysians) and place of residence (higher among rural dwellers), while smoking and history of previous TB treatment were not found to be associated with all-cause mortality.
CONCLUSIONS: This study identified various sociodemographic characteristics and TB disease-related variables which were associated with unsuccessful TB treatment outcomes and mortality; these can be used to guide measures for risk assessment and stratification of TB patients in future.
OBJECTIVE: The aim of this paper is to introduce readers to the platforms on which Tuberculosis participants interact, to discuss reasons for and risks associated with TB-related activity, and to review research related to the potential impact of individual participation on TB outcomes.
METHODS: Research and online content related to Tuberculosis online activity is reviewed, however, the difficulty in accurate prescribing and adhering to these protocols and the emergence of M. tuberculosis strains resistant to multiple drugs and drug-drug interactions that interfere with optimal treatment of Tuberculosis and co-infected patients with the different disease has generated a pressing need for improved Tuberculosis therapies.
RESULTS: Together with the ominous global burden of Tuberculosis, those shortcomings of current medication have contributed to a renewed interest in the development of improved drugs and protocols for the medication of Tuberculosis. This article features obstacles related with the enhanced utilization of existing drugs and difficulties related with the advancement of enhanced products, concentrating on perspectives characteristic in Tuberculosis drug clinical improvement. The participation includes peer support, advocacy, self-expression, seeking and sharing TB information, improving approaches to Tuberculosis data management, and humour.
CONCLUSION: This article highlights hurdles related to the optimised use of existing drugs and challenges related to the development of improved products, focusing on aspects inherent in Tuberculosis drug clinical development. Concluding comments offer processes for more efficient development of Tuberculosis therapies and increase the quality of life.
METHODS: A call for papers was announced on the website of Methods of Information in Medicine in April 2016 with submission deadline in September 2016. A peer review process was established to select the papers for the focus theme, managed by two guest editors.
RESULTS: Three papers were selected to be included in the focus theme. Topics range from contributions to patient care through implementation of clinical decision support functionality in clinical registries; analysing similar-purposed acute coronary syndrome registries of two countries and their registry-to-SNOMED CT maps; and data extraction for speciality population registries from electronic health record data rather than manual abstraction.
CONCLUSIONS: The focus theme gives insight into new developments related to disease registration. This applies to technical challenges such as data linkage and data as well as data structure abstraction, but also the utilisation for clinical decision making.
OBJECTIVE: To collect information on factors that affect the time period from the onset of symptoms to first contact with health care providers, whether private or government.
DESIGN: A cross-sectional study using a pre-tested questionnaire was conducted among 296 newly registered smear-positive TB patients in 10 districts in Sabah. Univariable and multivariable analyses were used to determine which risk factors were associated with patient delay (>30 days) and 'extreme' patient delay (>90 days).
RESULTS: The percentage of patients who sought treatment after 30 and 90 days was respectively 51.8% (95%CI 45.7-57.9) and 23.5% (95%CI 18.6-29.0). The strongest factors associated with patient delay and 'extreme' patient delay was when the first choice for treatment was a non-government health facility and in 30-39-year-olds. 'Extreme' patient delay was also weakly associated, among other factors, with comorbidity and livestock ownership.
CONCLUSION: Delay and extreme delay in seeking treatment were more common when the usual first treatment choice was a non-government health facility. Continuous health education on TB aimed at raising awareness and correcting misconceptions is needed, particularly among those who use non-government facilities.