Hantula D A
Department of Psychology, Temple University, Philadelphia, Pennsylvania 19122, USA.
J Appl Behav Anal. 1995 Fall;28(3):371-7. doi: 10.1901/jaba.1995.28-371.
This paper explores some of the implications the statistical process control (SPC) methodology described by Pfadt and Wheeler (1995) may have for analyzing more complex performances and contingencies in human services or health care environments at an organizational level. Service delivery usually occurs in an organizational system that is characterized by functional structures, high levels of professionalism, subunit optimization, and organizational suboptimization. By providing a standard set of criteria and decision rules, SPC may provide a common interface for data-based decision making, may bring decision making under the control of the contigencies that are established by these rules rather than the immediate contingencies of data fluctuation, and may attenuate escalation of failing treatments. SPC is culturally consistent with behavior analysis, sharing an emphasis on data-based decisions, measurement over time, and graphic analysis of data, as well as a systemic view of organizations.
本文探讨了Pfadt和Wheeler（1995）所描述的统计过程控制（SPC）方法可能对在组织层面分析人类服务或医疗保健环境中更复杂的绩效和突发事件产生的一些影响。服务提供通常发生在一个以功能结构、高度专业化、子单元优化和组织次优化为特征的组织系统中。通过提供一套标准的标准和决策规则，SPC可以为基于数据的决策提供一个共同的接口，可以使决策受这些规则所确立的突发事件的控制，而不是受数据波动的即时突发事件的控制，并且可以减弱失败治疗的升级。SPC在文化上与行为分析相一致，都强调基于数据的决策、随时间的测量、数据的图形分析以及对组织的系统观点。
