36 research outputs found

    Dengue Infection in Children in Ratchaburi, Thailand: A Cohort Study. II. Clinical Manifestations

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    Dengue infection is one of the most important diseases transmitted to human by mosquito bite. The disease may be mild or severe. This study reveals the occurrence and clinical features of diseases caused by dengue infection in a 3-year follow-up in school-children aged 3–14 years in Ratchaburi Province, Thailand using an active surveillance for the episodes of fever. Children who had fever were laboratory tested for the evidence of dengue infection and recorded for clinical features. It was found that most of dengue infected patients had headache, anorexia, nausea/vomiting, and muscle ache. About half of the patients had clinical symptoms that closely mimic other diseases, especially respiratory tract infection, and were incorrectly diagnosed by pediatricians. Only 11% of the patients had more a severe disease called “dengue hemorrhagic fever.” This severe disease may be predicted by the presence of anorexia, nausea/vomiting, and abdominal pain after the second day of illness. This study provides better understanding in this disease

    Is your ethics committee efficient? Using "IRB Metrics" as a self-assessment tool for continuous improvement at the Faculty of Tropical Medicine, Mahidol University, Thailand.

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    Tensions between researchers and ethics committees have been reported in several institutions. Some reports suggest researchers lack confidence in the quality of institutional review board (IRB) reviews, and that emphasis on strict procedural compliance and ethical issues raised by the IRB might unintentionally lead to delays in correspondence between researchers and ethics committees, and/or even encourage prevarication/equivocation, if researchers perceive committee concerns and criticisms unjust. This study systematically analyzed the efficiency of different IRB functions, and the relationship between efficiency and perceived quality of the decision-making process. The major purposes of this study were thus (1) to use the IRB Metrics developed by the Faculty of Tropical Medicine, Mahidol University, Thailand (FTM-EC) to assess the operational efficiency and perceived effectiveness of its ethics committees, and (2) to determine ethical issues that may cause the duration of approval process to be above the target limit of 60 days. Based on a literature review of definitions and methods used and proposed for use, in assessing aspects of IRB quality, an "IRB Metrics" was developed to assess IRB processes using a structure-process-outcome measurement model. To observe trends in the indicators evaluated, data related to all protocols submitted to the two panels of the FTM-EC (clinical and non-clinical), between January 2010-September 2013, were extracted and analyzed. Quantitative information based on IRB Metrics structure-process-outcome illuminates different areas for internal-process improvement. Ethical issues raised with researchers by the IRB, which were associated with the duration of the approval process in protocol review, could be considered root causes of tensions between the parties. The assessment of IRB structure-process-outcome thus provides a valuable opportunity to strengthen relationships and reduce conflicts between IRBs and researchers, with positive outcomes for all parties involved in the conduct of human-subject research

    Predictive model for bacterial late-onset neonatal sepsis in a tertiary care hospital in Thailand

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    Background Early diagnosis of neonatal sepsis is essential to prevent severe complications and avoid unnecessary use of antibiotics. The mortality of neonatal sepsis is over 18%in many countries. This study aimed to develop a predictive model for the diagnosis of bacterial late-onset neonatal sepsis. Methods A case-control study was conducted at Queen Sirikit National Institute of Child Health, Bangkok, Thailand. Data were derived from the medical records of 52 sepsis cases and 156 non-sepsis controls. Only proven bacterial neonatal sepsis cases were included in the sepsis group. The non-sepsis group consisted of neonates without any infection. Potential predictors consisted of risk factors, clinical conditions, laboratory data, and treatment modalities. The model was developed based on multiple logistic regression analysis. Results The incidence of late proven neonatal sepsis was 1.46%. The model had 6 significant variables: poor feeding, abnormal heart rate (outside the range 100–180 x/min), abnormal temperature (outside the range 36o-37.9 °C), abnormal oxygen saturation, abnormal leucocytes (according to Manroe’s criteria by age), and abnormal pH (outside the range 7.27–7.45). The area below the Receiver Operating Characteristics (ROC) curve was 95.5%. The score had a sensitivity of 88.5% and specificity of 90.4%. Conclusion A predictive model and a scoring system were developed for proven bacterial late-onset neonatal sepsis. This simpler tool is expected to somewhat replace microbiological culture, especially in resource-limited settings

    Effects of issues reviewed and notified for revision on “above target duration” in total time from submission to final approval (>60 days).

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    <p>*PR = Prevalence Ratio.</p><p>Effects of issues reviewed and notified for revision on “above target duration” in total time from submission to final approval (>60 days).</p

    Evaluation of Process – Timeliness of protocol review, 2010–2013.

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    <p>Note:</p>a<p>Excludes 14 studies in 2010–2012 (6 withdrawn by investigator due to internal study team matters; 8 terminated by the Ethics Committee due to very long delay/non-response after notification).</p>b<p>Excludes 41 studies that required no revision.</p>C<p>Includes all new non-exempt study submissions.</p>d<p>Some studies were amended more than once.</p><p>Evaluation of Process – Timeliness of protocol review, 2010–2013.</p

    Evaluation of Outcome - Decision on new non-exempt and continuing/amended protocols reviewed by FTM-EC, 2010–2013.

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    <p><i>Note: Excludes 7 studies that are pending decision outcome at data cutoff, and 13 studies withdrawn by PI (for various reasons) or by EC (due to long non-response period).</i></p
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