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Discussion on the Related Factors of Urine and Fecal Routine Test Specimens Unqualified / 中国生化药物杂志
Chinese Journal of Biochemical Pharmaceutics ; (6): 410-411,413, 2017.
Article in Chinese | WPRIM | ID: wpr-621523
ABSTRACT
Objective To explore the related factors that lead to unqualified urine and stool routine test specimens, and put forward effective solutions. Methods Urine samples and stool samples of 500 cases were selected, and the unqualified urine and stool samples were analyzed thoroughly. Results The unqualified rate of routine urine test group was 5%, and the unqualified rate of fecal routine test group was 6.40%. Urine and stool test samples are not qualified a total of 57 cases, including 3 cases (5.26%) the lack of application, 5 cases (8.77%) test sample does not comply with the inspection application list information, 37 cases (64.91%), 3 cases of insufficient sample (5.26%) samples were contaminated, 4 cases (7.01%) for overtime, 5 cases (8.77%) were insufficient and inconsistent information. Conclusion The urine and stool often caused by the unqualified situation in clinical diagnosis, have a great relationship with the reason was largely related to nursing staff before collecting urine and stool specimens of patients with lack of guidance, and the acquisition is completed with the after is not strictly in accordance with the relevant standards carefully check samples, in order to effectively improve the current situation, the hospital needs to be more reasonable and scientific to collect urine and feces samples were developed on the basis of this process, by strengthening the training of nursing staff to the sample qualified to provide the important guarantee.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline Language: Chinese Journal: Chinese Journal of Biochemical Pharmaceutics Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline Language: Chinese Journal: Chinese Journal of Biochemical Pharmaceutics Year: 2017 Type: Article