Sampling methods to the statistical control of the production of blood components

Pereira, Paulo; Seghatchian, Jerard; Caldeira, Beatriz; Santos, Paula; Castro, Rosa Betânia Rodrigues De; Fernandes, Teresa; Xavier, Sandra; Sousa, Gracinda de; Sousa, João Paulo de Almeida e

doi:10.1016/j.transci.2017.11.022

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…According to the SPC principle, there are eight abnormal fluctuation criteria. 19 Therefore, in the p-chart for all artefacts, one data point beyond the control limit should be recognized as abnormal fluctuation, which is generally caused by new operators or operator technical defects (as shown in Figure 2). Further investigation revealed that in October 2020, our urodynamic center had accepted some new candidates from other hospitals, these candidates might have lacked practical experience and knowledge of UDS, which was consistent with the abnormal fluctuation sources indicated in the SPC rationale.…”

Section: Discussionmentioning

confidence: 99%

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Statistical process control for the analysis of quality control in urodynamics: A potential new approach for quality review of urodynamics

Zeng

Shen

et al. 2022

Neurourology and Urodynamics

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Purpose To analyze quality control in urodynamic studies, using a proportion control chart (p‐chart) for statistical process control. Materials and Methods This single‐center study was conducted at the Urodynamic Center of West China Hospital, Sichuan University. We randomly selected 15 samples from each month in 2020, and 180 urodynamic traces were finally enrolled. We used the p‐chart of statistical process control for analysis. We calculated the proportion of the incidence of a selected set of artefacts in the monthly urodynamic study process, including non‐standard zero setting, no cough test, incomplete records of all measurements by urodynamicists, catheter displacement, and baseline drift. Through the specific calculation formula of statistical process control, we obtained the values of the center line, lower control limit, and upper control limit. Results All data points of each artefact were within zone A. However, one outlier was found in the p‐chart of all artefacts in October, which might have been caused by inexperienced operators. Conclusions Statistical process control may play an important role in the process control of urodynamic studies and guide us in identifying the cause of poor quality in process management.

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Section: Discussionmentioning

confidence: 99%

“…According to the SPC principle, there are eight abnormal fluctuation criteria 19 . Therefore, in the p‐chart for all artefacts, one data point beyond the control limit should be recognized as abnormal fluctuation, which is generally caused by new operators or operator technical defects (as shown in Figure 2).…”

Section: Discussionmentioning

confidence: 99%

Statistical process control for the analysis of quality control in urodynamics: A potential new approach for quality review of urodynamics

Zeng

Shen

et al. 2022

Neurourology and Urodynamics

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“…Populasi dan sampel dalam penelitian ini memeiliki perbedaan utama yang berkaitan dengan bagaimana suatu observasi ditetapkan dalam pengumpulan data. Pupulasi mencakup semua elemen dari sekumpulan data, sedangkan sampel terdiri dari satu atau lebih observasi yang diambil dari populasi (Pereira et al, 2017).…”

Section: Metode Penelitianunclassified

Pengaruh Sektor Transportasi dan Komunikasi Terhadap PDRB di Kota DKI Jakarta

Anastasya¹,

Monica²,

Rosadah³

et al. 2021

jiss

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Abstrak: Transportasi dan komunikasi merupakan salah satu faktor yang mempengaruhi pendapatan suatu daerah atau negara. Hal ini dikarenakan perkembangan media transportasi dan komunikasi sangat maju terutama di era modern. Mobilitas transportasi dan pergerakan di DKI Jakarta dapat mempengaruhi pertumbuhan ekonomi dan pendapatan daerah. Penelitian ini dilakukan untuk mengetahui seberapa besar pengaruh sektor pengangkutan dan komunikasi terhadap pendapatan daerah DKI Jakarta dengan menggunakan metode dokumentasi dan pengumpulan data yang diambil dari pusat statistik DKI Jakarta. Sektor penting dalam penelitian ini adalah transportasi dan komunikasi. Dapat disimpulkan bahwa sektor transportasi berpengaruh signifikan terhadap pendapatan daerah DKI Jakarta. Karena pergerakan dan mobilitas di kota ini sangat tinggi. Pada 2019 sektor transportasi memberikan kontribusi 3,44%. Berdasarkan fakta tersebut, sektor transportasi berpengaruh signifikan terhadap Pendapatan Asli Daerah DKI Jakarta.

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