Literature DB >> 17426610

Control limits for p control charts with small subgroup sizes.

Marilyn K Hart1, Robert F Hart, Stephen Schmaltz.   

Abstract

The p chart is widely used in health care and other service organizations as well as in manufacturing to monitor the proportion of observations with some particular characteristic for comparing several sources of data or for tracking a single source of data over time. The conventional approach is to use 3sigma limits found by using the normal approximation to the binomial distribution. This article reviews a method for taking into account the fact that 3sigma limits are not always appropriate, and suggests the use of the exact binomial distribution instead of the normal approximation to eliminate the problems associated with small subgroups. An example with only 4 small subgroups shows that the use of probability control limits and of modified control limits avoids the above problems.

Mesh:

Year:  2007        PMID: 17426610     DOI: 10.1097/01.QMH.0000267449.32629.b1

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


  2 in total

1.  The probability of being identified as an outlier with commonly used funnel plot control limits for the standardised mortality ratio.

Authors:  Sarah E Seaton; Bradley N Manktelow
Journal:  BMC Med Res Methodol       Date:  2012-07-16       Impact factor: 4.615

2.  Specifying the probability characteristics of funnel plot control limits: an investigation of three approaches.

Authors:  Bradley N Manktelow; Sarah E Seaton
Journal:  PLoS One       Date:  2012-09-20       Impact factor: 3.240

  2 in total

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