Using Plan-Do-Check-Act Circulation to Improve the Management of Panic Value in the Hospital

Wu, Suo-Wei; Chen, Tong; Xuan, Yong; Xu, Xiwu; Pan, Qi; Wei, Liangyu; Li, Chao; Wang, Qin

doi:10.4103/0366-6999.164984

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…5,6 A growing number of publications have addressed the reporting of critical values. 3,[7][8][9][10][11][12] A CAP-sponsored study of 121 institutions determined that it takes a total of 7 minutes for technician to notify clinicians about a critical result once testing was complete. 13 It took up a lot of time reporting thousands of critical values by laboratories each year.…”

Section: Introductionmentioning

confidence: 99%

Enhance the effectiveness of clinical laboratory critical values initiative notification by implementing a closed‐loop system: A five‐year retrospective observational study

Wang

Gong

et al. 2019

Clinical Laboratory Analysis

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Background Accurate and timely clinical laboratory critical values notification are crucial steps in supporting effective clinical decision making, thereby improving patient safety. Methods A closed‐loop laboratory critical value notification system was developed by a multidisciplinary team of clinicians, laboratorians, administrators, and information technology experts. All the laboratory critical values that occurred at Beijing Tsinghua Changgung Hospital (BTCH, Beijing, China) from 2015 to 2019 were analyzed and studied retrospectively. Results The total number (ratio) of institutional laboratory critical values to all reported items at BTCH from 2015 to 2019 was 38 020/7 706 962 (0.49%). Percentage distribution points of critical value boundaries based on patients’ test reports are 0.007% ~ 6.04% for low boundaries and 71.70% ~ 99.99% for high boundaries. After the intervention, the timely notification ratio, notification receipt ratio, and timely notification receipt ratio of critical values of ED, IPD, and total patients had increased, with a significant difference (P < .001). Five quality indicators, such as notification ratio, timely notification ratio, notification receipt ratio, timely notification receipt ratio, and clinician response ratio over a 5‐year period, were 100%, 94%, 97%, 92%, and 99%, respectively. Conclusions We enhanced the effectiveness of clinical laboratory critical values initiative notification by implementing a closed‐loop system and intervening. Clinical critical values and quality indicators should be analyzed and monitored to avoid adversely affecting patient care.

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Section: Introductionmentioning

confidence: 99%

Enhance the effectiveness of clinical laboratory critical values initiative notification by implementing a closed‐loop system: A five‐year retrospective observational study

Wang

Gong

et al. 2019

Clinical Laboratory Analysis

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“…The plan-do-check-act (PDCA) approach is used extensively for quality management in various fields; it is a process of finding and solving problems, and is applicable to making continuous improvements in medical quality management [33,34]. The case study hospital (Health Promotion Committee) conducted a strengths, weaknesses, opportunities, and threats (SWOT) analysis prior to the decision to seek AFH certification.…”

Section: Resultsmentioning

confidence: 99%

Facilitating a change model in age-friendly hospital certification: Strategies and effects

Kuo

Chen²

2019

PLoS ONE

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The ageing population is a powerful and transformative demographic force. The World Health Organization (WHO) has encouraged the development of an age-friendly hospital (AFH) network. However, no specific implementation strategies or best practices of AFH standards have been produced. This study sought to apply Kotter’s change model to the elements included in a successful AFH certification process and to evaluate the changes in employees’ knowledge of ageing and their attitudes toward the elderly. This was an observational study that utilized a pre- and posttest design, before and after an age-friendly hospital certification process was implemented. Participants were 163 hospital employees in Taiwan, who completed both pre- and postquestionnaires. The self-administered online questionnaire consisted of three sections: The Facts on Ageing Quiz, the Geriatric Attitudes Scale, and a demographic questionnaire. Following introduction of the intervention, the change process began, and later Kotter’s model was brought in as a descriptive framework. The results showed that Kotter’s eight-step framework is a good choice for thinking about how to change practice and make healthcare more age-friendly. Employee knowledge of ageing and their attitudes toward the elderly improved after this certification process. Appointing a chief executive officer, forming a steering committee, obtaining interdepartmental and interdisciplinary cooperation, and “soliciting support” for new policies from all employees, were identified as key factors influencing the success of age-friendly hospital (AFH) certification. This is the first study to apply Kotter’s eight-step framework of organizational change to an AFH certification process.

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“…AT present, PDCA is the most common method used for critical value optimization. PDCA cycle was first proposed by Hughart, then perfected and popularized by Dr. Deming in 1950 [18] [19] . Many researchers have applied the PDCA cycle to improve management quality [20] [21] [22] .…”

Section: Discussionmentioning

confidence: 99%

FOCUS-PDCA can effectively optimize the critical value of test items

Xie

Zhang²,

Luo³

et al. 2022

J Med Biochemistry

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Objective: To optimize the critical value of test items using FOCUS-PDCA (ﬁnd, organize, clarify, understand, select, plan, do, check and act), and to set the personalized critical value of the test for different departments. Methods: We searched for literature reporting on the critical value and FOCUS-PDCA published over recent 5 years in order to understand the significance and status quo of critical value and FOCUS-PDCA. We also collected and analyzed the critical value data of hospital tests performed in Sichuan province hospitals in 2019, which were later compared to data from 2020 to determine the FOCUS-PDCA cycle. Results: The proportion of critical values in the whole hospital decreased from 3.5% before optimization to 2.5% to 3% after optimization. The critical values of ICU, hematology, nephrology, urology, and neonatal departments after optimization significantly decreased compared with those before optimization, while the critical values of cardiac surgery, emergency ICU, cardiology, and neurosurgery ICU showed no significant difference before and after optimization. Contrary, the critical values of the infection department after optimization significantly increased before optimization. Conclusion: FOCUS-PDCA can effectively optimize the critical value of test items, which is beneficial for rational utilization of medical resources.

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Using Plan-Do-Check-Act Circulation to Improve the Management of Panic Value in the Hospital

Cited by 6 publications

References 18 publications

Enhance the effectiveness of clinical laboratory critical values initiative notification by implementing a closed‐loop system: A five‐year retrospective observational study

Enhance the effectiveness of clinical laboratory critical values initiative notification by implementing a closed‐loop system: A five‐year retrospective observational study

Facilitating a change model in age-friendly hospital certification: Strategies and effects

FOCUS-PDCA can effectively optimize the critical value of test items

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