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  • Statistical process control in nursing research

    Author(s)
    Polit, Denise F
    Chaboyer, Wendy
    Griffith University Author(s)
    Chaboyer, Wendy
    Year published
    2012
    Metadata
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    Abstract
    In intervention studies in which randomization to groups is not possible, researchers typically use quasi-experimental designs. Time series designs are strong quasi-experimental designs but are seldom used, perhaps because of technical and analytic hurdles. Statistical process control (SPC) is an alternative analytic approach to testing hypotheses about intervention effects using data collected over time. SPC, like traditional statistical methods, is a tool for understanding variation and involves the construction of control charts that distinguish between normal, random fluctuations (common cause variation), and statistically ...
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    In intervention studies in which randomization to groups is not possible, researchers typically use quasi-experimental designs. Time series designs are strong quasi-experimental designs but are seldom used, perhaps because of technical and analytic hurdles. Statistical process control (SPC) is an alternative analytic approach to testing hypotheses about intervention effects using data collected over time. SPC, like traditional statistical methods, is a tool for understanding variation and involves the construction of control charts that distinguish between normal, random fluctuations (common cause variation), and statistically significant special cause variation that can result from an innovation. The purpose of this article is to provide an overview of SPC and to illustrate its use in a study of a nursing practice improvement intervention.
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    Journal Title
    Research in Nursing & Health
    Volume
    35
    Issue
    1
    DOI
    https://doi.org/10.1002/nur.20467
    Subject
    Nursing
    Nursing not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/47770
    Collection
    • Journal articles

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