Literature DB >> 32243023

Regional variance in the use of urine dipstick test for outpatients in Japan.

Hiroshi Nishi1, Yui Yoshida1,2, Reiko Inoue1, Koji Takemura1, Masaomi Nangaku1.   

Abstract

AIM: The urine dipstick is a simple diagnostic module for detecting proteinuria, haematuria and glycosuria and is favourably accepted in East Asia despite debates regarding its accuracy and target population, claiming that quantitative tests for a high-risk cohort should be more cost-effective. However, the current status of utilizing this test in these countries is not widely known due to lack of extensive data. We aimed to clarify the current nationwide and regional status of utilization of the urine dipstick test in an outpatient care setting and to determine the regional factors associated with adoption of this method.
METHODS: This cross-sectional study used openly accessible data from the national claim database that included the health insurance claims data of the Japanese population in 2017.
RESULTS: In total, 67 125 386 urine dipstick tests were performed compared with 1 862 700 quantitative urine protein tests and 17 544 949 urine sediment microscopy tests. Dipstick tests were employed principally for those who are >65 years old (60.3%) and, although the male population (52.5%) is generally larger, the female population is larger in age of 15 to 39 years and >85 years. Multivariate analysis with several regional parameters revealed that the test was performed more commonly in the areas that accommodate greater elderly population (P < .01).
CONCLUSION: Despite a heated dispute, the urine dipstick test is performed even more frequently than the quantitative biochemical or microscopic sediment tests, especially in regions holding the larger elderly population, which suggests that the test forms a part of geriatric medical care.
© 2020 Asian Pacific Society of Nephrology.

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Keywords:  chronic kidney disease; dipstick test; regional variance; strip test

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Year:  2020        PMID: 32243023     DOI: 10.1111/nep.13715

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  1 in total

1.  Design of automatic urine collection system for medical system applications.

Authors:  Li Cheng; Chenru Hao; Yanpeng Wang; Jingjing Zhang; Yunlong Wen; Ziqiang Chi; Xiuyuan Li; Haibo Yang; Yanru Wu; Lisha Guo; Ruibin Zhao
Journal:  Technol Health Care       Date:  2022       Impact factor: 1.205

  1 in total

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