4 research outputs found

    Predict online customer satisfaction level on the basis of e-commerce services and age group

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    The purpose of study is to develop anunderstanding the how many customer satisfied with theE-commerce services. So there are lots of scopes to ananalyze user's data to find unknown facts of E-commerce.To achieve objective of this paper authors conduct asurvey named Customer Satisfaction level in India. Theycollected a sample of 520 users in one month time durationvia online medium (Google Forms). The major differencebetween online and traditional shopping is that in onlineshopping there is no touch, feel and trust. So the consumergets afraid to pay first before receiving the product. In thispaper authors try to find out relationship between type ofservices and satisfaction level in Indian consumer in Ecommerceservices. The result of experiment shows that Pvalue of customers Ages and Satisfaction level is 0.5817which is significant at 95% confidence and P value ofcustomers Services and Satisfaction level is 0.5988. It tellsthat consumer satisfaction level according to the type ofservices

    The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital

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    The GeneXpert MTB/RIF assay (Xpert) is a novel automated diagnostic tool for tuberculosis but its optimal placement in the healthcare system has not been determined. The objective of this study was to determine the possibility of additional case detection for pulmonary tuberculosis (PTB) by offering Xpert to smear-negative patients in a low-HIV burden setting with no Mycobacterium tuberculosis (M.tb.) culture facilities. Patients routinely presenting with symptoms suggestive of PTB with negative smears were offered single Xpert test on a fee-paying basis. Data were retrospectively reviewed to determine case detection in patients tested from February to December 2013. Symptoms associated with a positive test were analysed to determine if refinement of clinical criteria would reduce unnecessary testing. 258 smear-negative patients were included and M.tb. was detected in 55 (21.32%, n=55/258). Using standard clinical assessment for selection, testing 5 patients detected one case of smear-negative PTB. These results demonstrate that fee-paying Xpert service in low-income setting can increase TB case confirmation substantially and further systematic studies of health economic implications should be conducted to determine optimal implementation models to increase access to Xpert in low- and middle-income countries
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