Framework of Monitoring Patient Safety Culture by the Bootstrap Method

doi:10.23940/ijpe.19.05.p8.13261333

Abstract

Abstract: This study proposes a framework to monitor the patient safety culture by means of a safety attitudes questionnaire by using the bootstrap method to determine the performance of each dimension of safety attitudes questionnaire in each year based on a small sample size. The focus is not the bootstrap method itself but the philosophy of using the bootstrap method to construct the control chart-like limits to observe the performance of each dimension based on the small sample size. Hospital management can better understand how each dimension performs on a yearly basis from the data available. When more new data are available, the boundaries generated by the bootstrap method can be adjusted. Besides, the trends and changes for each dimension can be traced in a control chart that enables hospital management to observe how the patient safety culture changes from time to time. This study demonstrates the philosophy of using the bootstrap method when the sample size is seven for each dimension. The trends and changes for each dimension can be observed for hospital management by construction its control chart.

Key words: bootstrap method, patient safety culture, safety attitudes questionnaire, key performance index, trend analysis

Chih-Hsuan Huang, Yii-Ching Lee, and Hsin-Hung Wu. Framework of Monitoring Patient Safety Culture by the Bootstrap Method [J]. Int J Performability Eng, 2019, 15(5): 1326-1333.

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References

[1] J. Sorra, K. Khanna, N. Dyer, R. Mardon,T. Famolaro, “Exploring Relationships Between Patient Safety Culture and Patients' Assessments of Hospital Care,” The Journal of Nursing Administration, Vol. 44, No. 10, pp. 45-53, September 2014
[2] Y. C. Lee, H. H. Wu, W. L. Hsieh, S. J. Weng, L. P. Hsieh,C. H. Huang, “Applying Importance-Performance Analysis to Patient Safety Culture,” International Journal of Health Care Quality Assurance, Vol. 28, No. 8, pp. 1-15, 2015
[3] O. Mazurenko, J. Richter, A. Swanson-Kazley,E. Ford, “Examination of the Relationship Between Management and Clinician Agreement on Communication Openness, Teamwork, and Patient Satisfaction in the US Hospitals,” Journal of Hospital Administration, Vol. 5, No. 4, pp. 20-27, April 2016
[4] G. N.Stock and K. L. McFadden, “Improving Service Operations: Linking Safety Culture to Hospital Performance,” Journal of Service Management, Vol. 28, No. 1, pp. 57-84, 2017
[5] J. B. Sexton, R. L. Helmreich, T. B. Neilands, K. Rowan, K. Vella, J. Boyden, et al., “The Safety Attitudes Questionnaire: Psychometric Properties, Benchmarking Data, and Emerging Research,” BMC Health Services Research, Vol. 6, pp. 44, April 2006
[6] C. Göras, F. Y. Wallentin, U. Nilsson,A. Ehrenberg, “Swedish Translation and Psychometric Testing of the Safety Attitudes Questionnaire,” BMC Health Services Research, Vol. 13, pp. 104, March 2013
[7] G. Nguyen, N. Gambashidze, S. A. Ilyas,P. Pascu, “Validation of the Safety Attitudes Questionnaire (Short Form 2006) in Italian in Hospitals in the Northeast of Italy,” BMC Health Services Research, Vol. 15, pp. 284, July 2015
[8] Y. C. Lee, S. C. Huang, C. H. Huang,H. H. Wu, “A New Approach to Identify High Burnout Medical Staffs by Kernel k-Means Cluster Analysis in a Regional Teaching Hospital in Taiwan,” Inquiry, Vol. 53, November 2016
[9] Y. C. Lee, S. J. Weng, C. H. Huang, W. L. Hsieh, L. P. Hsieh,H. H. Wu, “A Longitudinal Study of Identifying Critical Factors of Patient Safety Culture in Taiwan,” Journal of Testing and Evaluation, Vol. 45, No. 3, pp. 1029-1044, May 2017
[10] Y. C. Lee, J. I Shieh, C. H. Huang, C. Y. Wang,H. H. Wu, “Analyzing Patient Safety Culture from Viewpoints of Physicians and Nurses-A Case of a Regional Teaching Hospital in Taiwan,” Journal for Healthcare Quality, Vol. 39, No. 5, pp. 294-306, September 2017
[11] Y. C. Lee, H. H. Wu, S. J. Weng, Y. C. Huang, W. L. Hsieh,C. H. Huang, “Application of Hospital Information Systems-Construction of an Incident Reporting System,” The TEM Journal, Vol. 5, No. 4, pp. 530-537, November 2016
[12] B. M.Smith and P. J. Gemperline, “Bootstrap Methods for Assessing the Performance of Near‐Infrared Pattern Classification Techniques,” Journal of Chemometrics, Vol. 16, No. 5, pp. 241-246, May 2002
[13] A. Colubri, T. Silver, T. Fradet, K. Retzepi, B. Fry,P. Sabeti, “Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients,” PLoS Neglected Tropical Diseases, Vol. 10, No. 3, pp. e0004549, March 2016
[14] B. Efron and R. Tibshirani, “An Introduction to the Bootstrap,” Chapman & Hall, New York, 1994
[15] C. H. Huang, H. H. Wu,Y. C. Lee, “The Perceptions of Patient Safety Culture: A Difference Between Physicians and Nurses in Taiwan,” Applied Nursing Research, Vol. 40, pp. 39-44, April 2018
[16] European Union Network for Quality in Health Care, “Use of Patient Safety Culture Instrument and Recommendations,” European Network for Quality in Health Care, Office for Quality Indicators, 2006
[17] H. Johari, F. Shamsuddin, N. Idris,A. Hussin, “Medication Errors Among Nurses in Government Hospital,” Journal of Nursing and Health Science, Vol. 1, No. 2, pp. 18-23, February 2013
[18] T. Leufer and J. Cleary-Holdforth, “Let's Do No Harm: Medication Errors in Nursing: Part 1,” Nurse Education in Practice, Vol. 13, No. 3, pp. 213-216, May 2013
[19] Y. C. Lee, S. J. Weng, J. O. Stanworth, L. P. Hsieh,H. H. Wu, “Identifying Critical Dimensions and Causal Relationships of Patient Safety Culture in Taiwan,” Journal of Medical Imaging and Health Informatics, Vol. 5, No. 5, pp. 995-1000, September 2015
[20] B. Efron, “Bootstrap Methods: Another Look at the Jackknife,” The Annals of Statistics, Vol. 7, No. 1, pp. 1-26, January 1979
[21] D. P.Kroese and J. C. C. Chan, “Statistical Modeling and Computation,” Springer, New York, 2014
[22] B. Goller, H. J. Pradlwarter,G. I. Schuëller,“Robust Model Updating with Insufficient Data,” Computer Methods in Applied Mechanics and Engineering, Vol. 198, No. 37-40, pp. 3096-3104, August 2009
[23] D. Q. Li, X. S. Tang,K. K. Phoon, “Bootstrap Method for Characterizing the Effect of Uncertainty in Shear Strength Parameters on Slope Reliability,” Reliability Engineering & System Safety, Vol. 140, pp. 99-106, August 2015
[24] X. S. Tang, D. Q. Li, C. Zhou,K. K. Phoon, “Bootstrap Method for Joint Probability Distribution Identification of Correlated Geotechnical Parameters,” Rock and Soil Mechanics, Vol. 36, No. 4, pp. 913-922, April 2015
[25] A. Yazdani, A. Nicknam, M. Khanzadi,S. Motaghed, “An Artificial Statistical Method to Estimate Seismicity Parameter from Incomplete Earthquake Catalogs: A Case Study in Metropolitan Tehran, Iran,” Scientia Iranica A, Vol. 22, No. 2, pp. 400-409, April 2015
[26] M. R. Saberi, A. R. Rahai, M. Sanayei,R. M. Vogel, “Steel Bridge Service Life Prediction using Bootstrap Method,” International Journal of Civil Engineering, Vol. 15, No. 1, pp. 51-61, June 2017
[27] S. J. Hsueh, Y. H. Hu,C. H. Tu, “Economic Growth and Financial Development in Asian Countries: A Bootstrap Panel Granger Causality Analysis,” Economic Modelling, Vol. 32, pp. 294-301, May 2013
[28] J. Dlamini, M. Balcilar, R. Gupta,R. Inglesi-Lotz, “Revisiting the Causality Between Electricity Consumption and Economic Growth in South Africa: A Bootstrap Rolling-Window Approach,” International Journal of Economic Policy in Emerging Economies, Vol. 8, No. 2, pp. 169-190, 2015
[29] K. H. You, S. A. Lee, J. K. Lee,H. Kang, “Why Read Online News? The Structural Relationships Among Motivations, Behaviors, and Consumption in South Korea. Information,” Communication & Society, Vol. 16, No. 10, pp. 1574-1595, December 2013
[30] D. Fu, Y. Hong, K. Wang,W. Fan, “Effects of Membership Tier on User Content Generation Behaviors: Evidence from Online Reviews,” Electronic Commerce Research, Vol. 18, No. 3, pp. 457-483, September 2018
[31] M. R.Chernick and R. A. LaBudde, “An Introduction to Bootstrap Methods with Applications to R,” John Wiley & Sons, Hoboken, New Jersey, 2011