General dentists staffing requirement based on workload in the public dental health centers in Turkey

Özkan, Şirin; Yildirim, Türkan

doi:10.1080/20479700.2021.2024670

Cited by 1 publication

(1 citation statement)

References 30 publications

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“…Among the different methodologies for estimating the number of staff required in a healthcare environment, the WISN index is the most common workload indicator used, as in the work by Azimi Nayebi et al [47], Ozkan and Yildrim [62], and Stankovic and Santric [63]. The WISN methodology first requires identifying the main components of the nursing workload through surveys or interviews and then estimating the standard time for each activity.…”

Section: Discussionmentioning

confidence: 99%

Identification of Predictive Nursing Workload Factors: A Six Sigma Approach

Buestan

Perez

2022

Sustainability

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A balanced nursing workload is crucial for patient and staff safety. Although there are several nursing planning models, there is no generic methodology to identify critical workload factors and their relative impact on different healthcare environments. We propose Six Sigma (SS) as a generic methodology and its DMAIC (Define, Measure, Analyze, Improve, Control) framework to identify statistically proven factors that affect nursing workload (NW) in any healthcare environment. Additionally, using a regression model, we estimated their relative importance. For our case study, we found that the number of patients per ward, the number of times medication was administered per shift, the number of nurses and the type of shifts were significant factors in predicting nursing workload. Using their relative importance as input for the nursing planning process, we improved the nursing assignment process performance from 0.09 to 1.05, with an increase in the sigma level from −0.34 to 2.97. Also, we reached the 55% target for the percentage of NW, from a baseline of 50.3%. We also reached the percentage target of NW set by the management of 55%, from the baseline of 50.3%. This study shows that SS can be used effectively to estimate the importance of the main factors that affect nursing workload, providing a methodology to improve the nurse–patient assignment process.

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Section: Discussionmentioning

confidence: 99%