| Summary: | 碩士 === 國立臺灣大學 === 農藝學研究所 === 95 === Data Coordinating Group, Institute of Biomedical Sciences, Academia Sinica, hereafter referred to as DCG, utilize the database software --Oracle Clinical to collect the study material of the National Clinical Core for Genomic Medicine. The purpose is to access the questionnaire data through the net, which transfers the results of the paper-based questionnaire into those of electronic-based questionnaire to the database as storage.
The analysis material is from DCG laboratory, which adopt double data entry in some plan. That is, the identical paper questionnaire answers are inputted to the database by two different groups. The first entry of data (1 key) is by nurses in each site and the second entry of data (2 key) is by DCG, and then another data manager staffs alternately collate the data, wishing that different groups input the data at different time can enhance the accuracy of data.
The objective of this research is to discuss the discrepancy and the data quality comparison while entering the two data. The following three hypotheses are
(1)The discrepancy appears in 1 key is different from the discrepancy appears in 2 key. (2)The quality of 1 key data varies from hospital and hospital.
(3) The discrepancy of different questionnaire structure is not the same.
The results showed that the discrepancy ratio is generally low, which tells that it’s practical to transferring paper data to the electronic data. Before entering the data, the DCG must complete the training to increase staff nurses’ ability to deal with OC database. To reduce the manpower cost, sole data entry can certainly take the place of double data entry. In the aspect of hospital data entry, compared with the results, the large-scale hospitals are better than small hospitals. While looking for the cooperation hospitals, project manages may put this reason into consideration. In the aspect of wrong structure, the statistical result showed that majority forms of the wrong state are not answering the question and filling in the wrong data. Thus, when designing questionnaire in the future, the questions need skipping to answer and the complex questions should be designed as multiple-choice questions which are easy to answer
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