The use of control charts in health-care and public-health surveillance

被引:380
作者
Woodall, WH [1 ]
机构
[1] Virginia Tech, Dept Stat, Blacksburg, VA 24061 USA
关键词
cluster detection; cumulative sum chart; CUSUM; exponentially weighted moving average; risk-adjustment; sequential probability ratio test; sets method; SPC; statistical process control;
D O I
10.1080/00224065.2006.11918593
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
There are many applications of control charts in health-care monitoring and in public-health surveillance. We introduce these applications to industrial practitioners and discuss some of the ideas that arise that may be applicable in industrial monitoring. The advantages and disadvantages of the charting methods proposed in the health-care and public-health areas are considered. Some additional contributions in the industrial statistical process control literature relevant to this area are given. There are many application and research opportunities available in the use of control charts for health-related monitoring.
引用
收藏
页码:89 / 104
页数:16
相关论文
共 155 条
  • [1] Performance league tables: the NHS deserves better
    Adab, P
    Rouse, AM
    Mohammed, MA
    Marshall, T
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2002, 324 (7329): : 95 - 98
  • [2] Adams BM., 1992, Frontiers in Statistical Quality Control, P155
  • [3] On-line variable live-adjusted displays with internal and external risk-adjusted mortalities. A valuable method for benchmarking and early detection of unfavourable trends in cardiac surgery
    Albert, AA
    Walter, JA
    Arnrich, B
    Hassanein, W
    Rosendahl, UP
    Bauer, S
    Ennker, J
    [J]. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2004, 25 (03) : 312 - 319
  • [4] Risk-adjusted control charts for health care assessment
    Alemi, F
    Rom, W
    Eisenstein, E
    [J]. ANNALS OF OPERATIONS RESEARCH, 1996, 67 : 45 - 60
  • [5] Alemi Farrokh, 2004, Jt Comm J Qual Saf, V30, P95
  • [6] [Anonymous], [No title captured], DOI DOI 10.2307/2985220
  • [7] ARNKELSDOTTIR H, 1995, 19951 GOT U DEP STAT
  • [8] Following Shipman: a pilot system for monitoring mortality rates in primary care
    Aylin, P
    Best, N
    Bottle, A
    Marshall, C
    [J]. LANCET, 2003, 362 (9382) : 485 - 491
  • [9] COMPARISON OF 2 STATISTICAL TECHNIQUES FOR THE SURVEILLANCE OF BIRTH-DEFECTS THROUGH A MONTE-CARLO SIMULATION
    BARBUJANI, G
    CALZOLARI, E
    [J]. STATISTICS IN MEDICINE, 1984, 3 (03) : 239 - 247
  • [10] Barbujani G, 1987, Eur J Epidemiol, V3, P67, DOI 10.1007/BF00145075