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Multilevel control chart and fuzzy set theory to monitor inpatient falls

Author

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  • Chang, Chih-Ming
  • Kao, Chi-Hung
  • Sha, Wei-Shun
  • Wu, Wen-Hsiang
  • Chen, Juei-Chao

Abstract

Monitoring hospital adverse events ensures the patient's safety. This study aims to develop a multilevel control chart and to apply fuzzy set theory and warning lines concept to monitor inpatient adverse events. This study uses a u chart to monitor the adverse events relating to falls. This study also considers the severity of fall injuries to develop multilevel control charts, and applies fuzzy set theory to determine the severity of falls. The final analysis of this study is a combination of multilevel control charts, fuzzy set theory, and warning lines concept. The findings of this study show that traditional control charts do not consider the severity of fall injury, whereas multilevel control charts can make up for the deficiencies of traditional control charts through the establishment of fuzzy rules and warning lines, thus reducing the shortcomings of traditional control charts, which cause error and low sensitivity.

Suggested Citation

  • Chang, Chih-Ming & Kao, Chi-Hung & Sha, Wei-Shun & Wu, Wen-Hsiang & Chen, Juei-Chao, 2016. "Multilevel control chart and fuzzy set theory to monitor inpatient falls," Journal of Business Research, Elsevier, vol. 69(6), pages 2284-2288.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:6:p:2284-2288
    DOI: 10.1016/j.jbusres.2015.12.043
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    References listed on IDEAS

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    1. Albert, S.M. & King, J. & Boudreau, R. & Prasad, T. & Lin, C.J. & Newman, A.B., 2014. "Primary prevention of falls: Effectiveness of a statewide program," American Journal of Public Health, American Public Health Association, vol. 104(5), pages 77-84.
    2. Wu, Chih-Wen, 2015. "Facebook users' intentions in risk communication and food-safety issues," Journal of Business Research, Elsevier, vol. 68(11), pages 2242-2247.
    3. Kvist, Jon, 2007. "Fuzzy set ideal type analysis," Journal of Business Research, Elsevier, vol. 60(5), pages 474-481, May.
    4. Alireza Faraz & M. Moghadam, 2007. "Fuzzy Control Chart A Better Alternative for Shewhart Average Chart," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(3), pages 375-385, June.
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    Cited by:

    1. Ching-Hsin Wang & Feng-Chia Li, 2020. "Economic design under gamma shock model of the control chart for sustainable operations," Annals of Operations Research, Springer, vol. 290(1), pages 169-190, July.

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