Run charts revisited: A simulation study of run chart rules for detection of non-random variation in health care processes

PLoS ONE

Volumn 9, Issue 11, 2014, Pages

  Anhøj, Jacob ^a   Olesen, Anne Vingaard ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; HEALTH CARE; LINEAR SYSTEM; NON RANDOM VARIATION; PLOTS AND CURVES; RUN CHART; SIGNAL PROCESSING; SIMULATION; STATISTICAL CONCEPTS; TREND STUDY; HEALTH CARE DELIVERY; NONBIOLOGICAL MODEL;

DELIVERY OF HEALTH CARE; MODELS, ORGANIZATIONAL;

EID: 84912535428     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0113825     Document Type: Article

References (14)

1. Perla RJ, Provost LP, Murray SK (2011) The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Qualilty and Safety 20: 46-51.
2. Swed FS, Eisenhart C (1943) Tables for Testing Randomness of Grouping in a Sequence of Alternatives. The Annals of Mathematical Statistics 14: 66-87.
3. Provost LP, Murray SK (2011). The Health Care Data Guide: Learning from Data for Improvement. San Francisco: John Wiley & Sons Inc.
4. Chen Z (2010) A note on the runs test. Model Assisted Statistics and Applications 5: 73-77.
5. Carey RG (2002) How Do You Know That Your Care Is Improving? Part I: Basic Concepts in Statistical Thinking. Journal of Ambulatory Care Management 25: 80-87.
6. Schilling MF (2012) The Surprising Predictability of Long Runs. Mathematics Magazine 85: 141-149.
7. Olmstead PS (1946) Distribution of Sample Arrangements for Runs Up and Down. The Annals of Mathematical Statistics 17: 24-33.
8. Davis RB, Woodall WH (1988) Performance of the Control Chart Trend Rule Under Linear Shift. Journal of Quality Technology 20: 260-262.
9. Willemain TR, Runger GC (1994) Statistical process control using level crossings. J. Statist. Comput. Simul. 51: 7-20.
10. R Core Team (2014) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.URL. : http://www.R-project.org (Accessed 5 Nov. 2014).
11. Carey RG (2002) How Do You Know That Your Care Is Improving? Part II: Using Control Charts To Learn from Your Data. Journal of Ambulatory Care Management 25: 78-88.
12. Mohammed MA, Worthington P, Woodall WH (2008) Plotting basic control charts: tutorial notes for healthcare practitioners. Qual. Saf.Health Care. 17: 137-145.
13. Jones-Farmer LA, Woodall WH, Steiner SH, Champ CW (2014) An Overview of Phase I Analysis for Process Improvement and Monitoring. Journal of Quality Technology 46: 265-280.
14. Perla RJ, Provost LP, Murray SK (2013) Sampling Considerations for Health Care Improvement. Q Manage Health Care 22: 36-47.