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Research Issues and Ideas on Health-Related Surveillance

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Frontiers in Statistical Quality Control 9

Summary

In this overview paper, some of the surveillance methods and metrics used in health-related applications are described and contrasted with those used in industrial practice. Many of the aforesaid methods are based on the concepts and methods of statistical process control. Public health data often include spatial information as well as temporal information, and in this and other regards, public health applications could be considered more challenging than industrial applications. Avenues of research into various topics in health-related monitoring are suggested.

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References

  • Axelrod DA, Guidinger MK, Metzger RA, Wiesner RH, Webb RL, Merion RM (2006) Transplant Center Quality Assessment Using a Continuously Updatable, Risk-Adjusted Technique (CUSUM). American Journal of Transplantation 6: 313–323.

    Article  Google Scholar 

  • Benjamini Y, Hochberg Y (1995) Controlling the False Discovery Rate: a Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society, Series B, 57(1): 289–300.

    MATH  MathSciNet  Google Scholar 

  • Benjamini Y, Kling Y (1999) A Look at Statistical Process Control Through the pvalues. Technical Report RP-SOR-99-08. Tel Aviv University, Israel. http://www.math.tau.ac.il/˜ybenja/KlingW.html Accessed on 10/04/05.

  • Benneyan JC (2001) Number-Between g-Type Statistical Control Charts for Monitoring Adverse Events. Health Care Management Science 4: 305–318.

    Article  Google Scholar 

  • Benneyan JC (2006) Discussion of “Use of Control Charts in Health Care Monitoring and Public Health Surveillance” by WH Woodall. Journal of Quality Technology 38: 113–123.

    Google Scholar 

  • Breiman L (2001) Statistical Modelling: The Two Cultures (with discussion). Statistical Science 16: 199–231.

    Article  MATH  MathSciNet  Google Scholar 

  • Buckeridge DL, Burkom H, Campbell M, Hogan WR, Moore AW (2005) Algorithms for Rapid Outbreak Detection: A Research Synthesis. Journal of Biomedical Informatics 38: 99–113.

    Article  Google Scholar 

  • Burr T, Graves T, Klamann R, Michalak S, Picard R, Hengartner N (2006) Accounting for Seasonal Patterns in Syndromic Surveillance Data for Outbreak Detection. BMC Medical Informatics and Decision Making 6: 40.

    Article  Google Scholar 

  • Chen R (1978) A Surveillance System for Congenital Malformations. Journal of the American Statistical Association 73: 323–327.

    Article  Google Scholar 

  • Cowling BJ, Wong IOL, Ho LM, Riley S, Leung GM (2006) Methods for Monitoring Influenza Surveillance Data. International Journal of Epidemiology 35: 1314–1321.

    Article  Google Scholar 

  • Fienberg SE, Shmueli G (2005) Statistical Issues and Challenges Associated with the Rapid Detection of Terrorist Outbreaks. Statistics in Medicine 24: 513–529.

    Article  MathSciNet  Google Scholar 

  • Fraker SE, Woodall WH, Mousavi S (2008) Performance Metrics for Surveillance Schemes, To appear in Quality Engineering.

    Google Scholar 

  • Fricker RD Jr (2007) Directionally Sensitive Multivariate Statistical Process Control Procedures with Application to Syndromic Surveillance. Advances in Disease Surveillance 3: 1–17.

    Google Scholar 

  • Fricker RD Jr., HR Rolka (2006) Protecting Against Biological Terrorism: Statistical Issues in Electronic Biosurveillance, Chance 19: 4-13.

    MathSciNet  Google Scholar 

  • Fricker RD Jr, Hegler, BL, Dunfee DA (2007). Comparing Syndromic Surveillance Detection Methods: EARS' versus a CUSUM-based Methodology. Statistics in Medicine 27: 3407-3429.

    Article  MathSciNet  Google Scholar 

  • Fricker RD Jr, Knitt M C, Hu CX (2008). Comparing Directionally Sensitive MCUSUM and MEWMA Procedures with Application to Biosurveillance. To appear in Quality Engineering.

    Google Scholar 

  • Frisén M (1992) Evaluation of Methods for Statistical Surveillance. Statistics in Medicine 11: 1489–1502.

    Article  Google Scholar 

  • Frisén M (2003) Statistical Surveillance, Optimality and Methods. International Statistical Review 71: 403–434.

    MATH  Google Scholar 

  • Frisén M, Sonesson C (2005) Optimal Surveillance. In: Lawson AB, Kleinman K (eds) Spatial & Syndromic Surveillance John Wiley & Sons, Ltd., New York, NY, pp. 31–52.

    Chapter  Google Scholar 

  • Frisén M, Wessman P (1999) Evaluation of Likelihood Ratio Methods for Surveillance. Communications in Statistics – Simulation and Computation 28: 597–622.

    Article  MATH  Google Scholar 

  • Grigg O, Farewell V (2004a) An Overview of Risk-Adjusted Charts. Journal of the Royal Statistical Society A 167: 523–539.

    Article  MathSciNet  Google Scholar 

  • Grigg O, Farewell V (2004b) A Risk-adjusted Sets Method for Monitoring Adverse Medical Outcomes. Statistics in Medicine 23: 1593-1602.

    Article  Google Scholar 

  • Grigg O, Spiegelhalter D (2006) Discussion of “Use of Control Charts in Health Care Monitoring and Public Health Surveillance” by WH Woodall. Journal of Quality Technology 38: 124–126.

    Google Scholar 

  • Grigg O, Spiegelhalter D (2007) A Simple Risk-Adjusted Exponentially Weighted Moving Average. Journal of the American Statistical Association 102: 140–152.

    Article  MATH  MathSciNet  Google Scholar 

  • Grigg O, Spiegelhalter D (2008) The Null Steady-State Distribution of the CUSUM Statistic. To appear in Technometrics.

    Google Scholar 

  • Grigg O, Spiegelhalter D, Jones H (2008) Local and Marginal Control Charts Applied to MRSA Bacteraemia Reports in UK Acute NHS Trusts. To appear in the Journal of the Royal Statistical Society, Series A.

    Google Scholar 

  • Hawkins DM (1993) Regression Adjustment for Variables in Multivariate Quality Control. Journal of Quality Technology 25: 170-81.

    Google Scholar 

  • Ismail NA, Pettitt AN, Webster RA (2003) ‘Online’ Monitoring and Retrospective Analysis of Hospital Outcomes Based on a Scan Statistic. Statistics in Medicine 22: 2861–2876.

    Article  Google Scholar 

  • Joner MD Jr, Woodall WH, Reynolds MR, Jr (2008a) On Detecting a Rate Increase Using a Bernoulli-based Scan Statistic. Statistics in Medicine 27: 2555-2575.

    Article  MathSciNet  Google Scholar 

  • Joner MD Jr, Woodall WH, Reynolds MR Jr, Fricker RD Jr (2008b) A One-sided MEWMA Chart for Health Surveillance. in Quality and Reliability Engineering International 24: 503-518.

    Article  Google Scholar 

  • Kleinman K, Lazarus R, Platt, R (2004) A Generalized Linear Models Approach for Detecting Incident Clusters of Disease in Small Areas, with an Application to Biological Terrorism (with discussion). American Journal of Epidemiology 159: 217–228.

    Article  Google Scholar 

  • Kulldorff M (1997) A Spatial Scan Statistic. Communications in Statistics – Theory and Methods 26: 1481–1496.

    Article  MATH  MathSciNet  Google Scholar 

  • Kulldorff M (2001) Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic. Journal of the Royal Statistical Society A 164: 61–72.

    Article  MATH  MathSciNet  Google Scholar 

  • Kulldorff, M (2005) SaTScanTM: Software for the spatial, temporal, and spacetime scan statistics, version 5.1 [computer program]. Information Management Services 2005; Available: http://www.satscan.org/

  • Lawson AB, Kleinman K (2005) Spatial & Syndromic Surveillance for Public Health, John Wiley & Sons, Inc., New York.

    Book  Google Scholar 

  • Marshall C, Best N, Bottle A, Aylin P (2004) Statistical Issues in the Prospective Monitoring of Health Outcomes Across Multiple Units. Journal of the Royal Statistical Society, Series A, 167(3): 541–559.

    MathSciNet  Google Scholar 

  • Naus J, Wallenstein S (2006) Temporal Surveillance Using Scan Statistics. Statistics in Medicine 25: 311–324.

    Article  MathSciNet  Google Scholar 

  • Novick RJ, Fox SA, Stitt LW, Forbes TL, Steiner S (2006) Direct Comparison of Risk-Adjusted and Non-Risk-Adjusted CUSUM Analyses of Coronary Artery Bypass Surgery Outcomes. The Journal of Thoracic and Cardiovascular Surgery 132: 386–391.

    Article  Google Scholar 

  • Porter, ME, Teisberg EO (2006) Redefining Health Care, Creating Value-Based Competition Based on Results. Harvard Business School Press, Boston MA.

    Google Scholar 

  • Reynolds MR Jr, Stoumbos ZG (1999) A CUSUM Chart for Monitoring a Proportion When Inspecting Continuously. Journal of Quality Technology 31: 87–108.

    Google Scholar 

  • Rolka H, Burkom H, Cooper GF, Kulldorff M, Madigan D, Wong WK (2007) Issues in Applied Statistics for Public Health Bioterrorism Surveillance Using Multiple Data Streams: Some Research Needs. Statistics in Medicine 26: 1834–1856.

    Article  MathSciNet  Google Scholar 

  • Sego LH, Woodall WH, Reynolds MR Jr (2008a) A Comparison of Surveillance Methods for Small Incidence Rates. Statistics in Medicine 27: 1225-1247.

    Article  MathSciNet  Google Scholar 

  • Sego LH, Reynolds MR Jr, Woodall WH (2008b) Risk-Adjusted Monitoring of Survival Times, provisionally accepted by Statistics in Medicine.

    Google Scholar 

  • Sherlaw-Johnson C, Wilson P, Gallivan S (2007) The Development and Use of Tools for Monitoring the Occurrence of Surgical Wound Infections. Journal of the Operational Research Society 58: 228–234.

    MATH  Google Scholar 

  • Shmueli G, Burkom HS (2008) Statistical Challenges in Modern Biosurveillance, to appear in Technometrics.

    Google Scholar 

  • Sonesson C (2007) A CUSUM Framework for Detection of Space-Time Disease Clusters Using Scan Statistics. Statistics in Medicine 26(26): 4770-4789.

    Article  MathSciNet  Google Scholar 

  • Sonesson C, Bock D (2003) A Review and Discussion of Prospective Statistical Surveillance in Public Health. Journal of the Royal Statistical Society A 166: 5–21.

    Article  MathSciNet  Google Scholar 

  • Sparks R (2000) CUSUM Charts for Signaling Varying Location Shifts. Journal of Quality Technology 32: 157-71.

    Google Scholar 

  • Spliid H (2007) Monitoring Medical Procedures by Exponential Smoothing. Statistics in Medicine 26: 124–138.

    Article  MathSciNet  Google Scholar 

  • Steiner SH, Cook RJ, Farewell VT, Treasure T (2000) Monitoring Surgical Performance Using Risk-Adjusted Cumulative Sum Charts. Biostatistics 1: 441–452.

    Article  MATH  Google Scholar 

  • Storey JD, Taylor JE, Siegmund D (2004) Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: a Unified Approach. Journal of the Royal Statistical Society, Series B, 66: 187–205.

    Article  MATH  MathSciNet  Google Scholar 

  • Tennant R, Mohammed MA, Coleman JJ, Martin U (2007) Monitoring Patients Using Control Charts: A Systematic Review. To appear in the International Journal for Quality in Health Care.

    Google Scholar 

  • Thor, J., Lundberg, J., Ask, J., Olsson, J., Carli, C., Härenstam, K. P., and Brommels, M. (2007), “Application of Statistical Process Control in Healthcare Improvement: Systematic Review”, Quality and Safety in Health Care, 16, pp. 387-399.

    Article  Google Scholar 

  • Wallenstein S, Naus J (2004) Scan Statistics for Temporal Surveillance for Biologic Terrorism. Morbidity and Mortality Weekly Report 53 (Suppl): 74–78.

    Google Scholar 

  • Winkel P, Zhang NF (2007) Statistical Development of Quality in Medicine. John Wiley & Sons Ltd: Chichester, pp. 173–181.

    Book  MATH  Google Scholar 

  • Woodall WH (2006) Use of Control Charts in Health Care Monitoring and Public Health Surveillance (with discussion). Journal of Quality Technology 38: 89–104 (available at http://www.asq.org/pub/jqt ).

  • Woodall WH, Marshall JB, Joner MD Jr, Fraker SE, Abdel-Salam AG (2008) On the Use and Evaluation of Prospective Scan Methods in Health-Related Surveillance. Journal of the Royal Statistical Society A 171: 223-237.

    MathSciNet  Google Scholar 

  • Woodall WH, Spitzner DJ, Montgomery DC, Gupta S (2004) Using Control Charts to Monitor Process and Product Quality Profiles. Journal of Quality Technology 36: 309–320.

    Google Scholar 

  • Xie M, Goh TN, Kuralmani V (2002) Statistical Models and Control Charts for High Quality Processes, Kluwer Academic Publishers, Norwell, MA.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Statistics, Virginia Tech, Blacksburg, VA, 24061-0439, USA

    William H. Woodall

  2. MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK

    Olivia A. Grigg

  3. National Security Technology Department, The Johns Hopkins University, Applied Physics Laboratory, Laurel, MD, 20723, USA

    Howard S. Burkom

Authors
  1. William H. Woodall
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  2. Olivia A. Grigg
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  3. Howard S. Burkom
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Corresponding author

Correspondence to William H. Woodall .

Editor information

Editors and Affiliations

  1. FB Wirtschaftswissenschaft, FU Berlin, Garystr. 21, Berlin, 14195, Germany

    Hans-Joachim Lenz

  2. FB Wirtschaftswissenschaften, FU Berlin, Garystr. 21, Berlin, 14195, Germany

    Peter-Theodor Wilrich

  3. LS für Quantitative Methoden,, Europa-Universität Viadrina, Grosse Scharrnstr. 59, Frankfurt, 15230, Germany

    Wolfgang Schmid

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Woodall, W.H., Grigg, O.A., Burkom, H.S. (2010). Research Issues and Ideas on Health-Related Surveillance. In: Lenz, HJ., Wilrich, PT., Schmid, W. (eds) Frontiers in Statistical Quality Control 9. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2380-6_10

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