Literature DB >> 10131648

Tutorial: introduction to control charts.

P E Plsek.   

Abstract

Variation in outcome is a natural result from any complex biological or production process. Unfortunately, this variation can cloud our decision making and lead us to take inappropriate action. The control chart is a basic quality management tool that helps managers and clinicians make statistically sound decisions when analyzing outcome data from processes. In this tutorial, we will illustrate the problems inherent in taking action based on data that displays variation. We will then develop the statistical foundation for control charts and show an example of its use to analyze data from a pharmacy process.

Mesh:

Year:  1992        PMID: 10131648

Source DB:  PubMed          Journal:  Qual Manag Health Care        ISSN: 1063-8628            Impact factor:   0.926


  4 in total

Review 1.  Statistical process control as a tool for research and healthcare improvement.

Authors:  J C Benneyan; R C Lloyd; P E Plsek
Journal:  Qual Saf Health Care       Date:  2003-12

2.  Improving the quality of care for infants: a cluster randomized controlled trial.

Authors:  Shoo K Lee; Khalid Aziz; Nalini Singhal; Catherine M Cronin; Andrew James; David S C Lee; Derek Matthew; Arne Ohlsson; Koravangattu Sankaran; Mary Seshia; Anne Synnes; Robin Walker; Robin Whyte; Joanne Langley; Ying C MacNab; Bonnie Stevens; Peter von Dadelszen
Journal:  CMAJ       Date:  2009-08-10       Impact factor: 8.262

3.  Cost and value in medical education: the role of statistical process control.

Authors:  Kieran Walsh
Journal:  J Biomed Res       Date:  2017-07-13

4.  Facility versus unit level reporting of quality indicators in nursing homes when performance monitoring is the goal.

Authors:  Peter G Norton; Michael Murray; Malcolm B Doupe; Greta G Cummings; Jeff W Poss; Janet E Squires; Gary F Teare; Carole A Estabrooks
Journal:  BMJ Open       Date:  2014-02-12       Impact factor: 2.692

  4 in total

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