The use of statistical process control (risk-adjusted CUSUM, risk-adjusted RSPRT and CRAM with prediction limits) for monitoring the outcomes of out-of-hospital cardiac arrest patients rescued by the EMS system

scientific article

The use of statistical process control (risk-adjusted CUSUM, risk-adjusted RSPRT and CRAM with prediction limits) for monitoring the outcomes of out-of-hospital cardiac arrest patients rescued by the EMS system is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1111/J.1365-2753.2010.01370.X
P698PubMed publication ID20807294

P50authorMing-chin YangQ43071593
P2093author name stringFu-Chang Hu
Kuo-Piao Chung
Chieh-Min Fan
Tsung-Tai Chen
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Characteristics of cardiac arrest and resuscitation by age group: an analysis from the Swedish Cardiac Arrest Registry.Q34008298
Epidemiology and outcomes of out-of-hospital cardiac arrest in Rochester, New YorkQ34591859
Monitoring the evolutionary process of quality: risk-adjusted charting to track outcomes in intensive careQ35148706
Statistical process control as a tool for research and healthcare improvementQ35596532
Retrospective cohort study of false alarm rates associated with a series of heart operations: the case for hospital mortality monitoring groupsQ36147243
Statistics: The Problem of Examining Accumulating Data More Than OnceQ36521020
Application of statistical process control in healthcare improvement: systematic reviewQ36767414
Risk-adjusted sequential probability ratio test control chart methods for monitoring operator and institutional mortality rates in interventional cardiologyQ37033057
Relationship between knowledge of cardiopulmonary resuscitation guidelines and performanceQ39749625
Outcomes from out-of-hospital cardiac arrest in Metropolitan Taipei: does an advanced life support service make a difference?Q39795333
EMS in Taiwan: past, present, and future.Q40021074
Risk-adjusted monitoring of binary surgical outcomesQ40704666
Pasteur and parachutes: when statistical process control is better than a randomized controlled trialQ41910337
Quality control: an application of the cusumQ42654476
Using statistical process control to improve the quality of health careQ43062672
Improved survival after out-of-hospital cardiac arrest is associated with an increase in proportion of emergency crew--witnessed cases and bystander cardiopulmonary resuscitationQ43615777
Monitoring cardiac surgical performance: a commentaryQ43799966
A national scheme for public access defibrillation in England and Wales: early resultsQ47628919
Risk-adjusted sequential probability ratio tests: applications to Bristol, Shipman and adult cardiac surgery.Q50715733
Statistical process control as a tool for monitoring nonoperative time.Q51155263
Monitoring medical procedures by exponential smoothing.Q51950782
Real-time monitoring of coronary care mortality: a comparison and combination of two monitoring tools.Q51976399
Sequential Tests of Statistical HypothesesQ55881266
Effectiveness of bystander cardiopulmonary resuscitation and survival following out-of-hospital cardiac arrestQ56095454
P433issue1
P921main subjectcardiac arrestQ202837
statisticsQ12483
P304page(s)71-77
P577publication date2010-08-30
P1433published inJournal of Evaluation in Clinical PracticeQ15767649
P1476titleThe use of statistical process control (risk-adjusted CUSUM, risk-adjusted RSPRT and CRAM with prediction limits) for monitoring the outcomes of out-of-hospital cardiac arrest patients rescued by the EMS system
P478volume17

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cites work (P2860)
Q48112900A Bayesian CUSUM plot: Diagnosing quality of treatment.
Q30807019A new risk-adjusted Bernoulli cumulative sum chart for monitoring binary health data
Q56401148Detecting change in comparison to peers in NHS prescribing data: a novel application of cumulative sum methodology
Q45014437Dynamic probability control limits for risk-adjusted Bernoulli CUSUM charts
Q45057417Dynamic probability control limits for risk-adjusted CUSUM charts based on multiresponses
Q47216330Learning curve for cytoreductive surgery and hyperthermic intraperitoneal chemotherapy in peritoneal surface malignancies: analysis of two centres

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