A Review of Healthcare, Public Health, and Syndromic Surveillance

ABSTRACT Due to the ongoing desire for healthcare performance improvement, the latest outbreaks of the avian influenza, and the continuing bioterrorism threat, there is an urgent need for research in healthcare and disease surveillance. In this article we present an overview and review of the general issues involved in healthcare, public health, and syndromic surveillance. In particular, we review existing data collection and surveillance systems, popular surveillance methods, and appropriate performance measures in healthcare and disease surveillance. We also discuss specific challenges and future research in temporal and spatiotemporal surveillance.

[1]  J C Benneyan,et al.  Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part I Introduction and Basic Theory , 1998, Infection Control & Hospital Epidemiology.

[2]  Fred Spiring,et al.  Introduction to Statistical Quality Control , 2007, Technometrics.

[3]  Martin Kulldorff,et al.  Power evaluation of disease clustering tests , 2003, International journal of health geographics.

[4]  T Tango,et al.  A class of tests for detecting 'general' and 'focused' clustering of rare diseases. , 1995, Statistics in medicine.

[5]  Roger M. Sauter,et al.  Introduction to Statistical Quality Control (2nd ed.) , 1992 .

[6]  Rina Chen,et al.  A Survillance System for Congenital Malformations , 1978 .

[7]  Christian Sonesson,et al.  A CUSUM framework for detection of space–time disease clusters using scan statistics , 2007, Statistics in medicine.

[8]  Peter R. Winters,et al.  Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .

[9]  R. Platt,et al.  A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism. , 2004, American journal of epidemiology.

[10]  Douglas C. Montgomery,et al.  Some Statistical Process Control Methods for Autocorrelated Data , 1991 .

[11]  P A Rogerson,et al.  Surveillance systems for monitoring the development of spatial patterns. , 1997, Statistics in medicine.

[12]  Michael M. Wagner,et al.  Technical Description of RODS: A Real-time Public Health Surveillance System , 2003, Journal of the American Medical Informatics Association.

[13]  John W. Loonsk,et al.  Implementation Brief: The Public Health Information Network (PHIN) Preparedness Initiative , 2006, J. Am. Medical Informatics Assoc..

[14]  Martin Kulldorff,et al.  Benchmark data and power calculations for evaluating disease outbreak detection methods. , 2004, MMWR supplements.

[15]  W. Woodall,et al.  Multivariate CUSUM Quality- Control Procedures , 1985 .

[16]  P E SARTWELL,et al.  The distribution of incubation periods of infectious disease. , 1950, American journal of hygiene.

[17]  William H Woodall,et al.  Detecting a rate increase using a Bernoulli scan statistic , 2008, Statistics in medicine.

[18]  Wei Jiang,et al.  A statistical process control approach to business activity monitoring , 2007 .

[19]  Wei Jiang,et al.  A theoretical framework and efficiency study of multivariate statistical process control charts , 2008 .

[20]  Y. Elbert,et al.  Disease outbreak detection system using syndromic data in the greater Washington DC area. , 2002, American journal of preventive medicine.

[21]  Joshua Lederberg,et al.  Microbial Threats to Health: Emergence, Detection, and Response , 2003 .

[22]  Joseph S Lombardo,et al.  ESSENCE II and the framework for evaluating syndromic surveillance systems. , 2004, MMWR supplements.

[23]  George C. Runger,et al.  Comparison of multivariate CUSUM charts , 1990 .

[24]  Nola D. Tracy,et al.  Decomposition of T2 for Multivariate Control Chart Interpretation , 1995 .

[25]  M. Alexander.  To Err is Human. , 2006, Journal of infusion nursing : the official publication of the Infusion Nurses Society.

[26]  Joseph Naus,et al.  Temporal surveillance using scan statistics , 2006, Statistics in medicine.

[27]  R F Raubertas,et al.  An analysis of disease surveillance data that uses the geographic locations of the reporting units. , 1989, Statistics in medicine.

[28]  M. Kulldorff,et al.  Multivariate scan statistics for disease surveillance , 2007, Statistics in medicine.

[29]  J. Franklin,et al.  The elements of statistical learning: data mining, inference and prediction , 2005 .

[30]  Galit Shmueli,et al.  Automated time series forecasting for biosurveillance , 2007, Statistics in medicine.

[31]  Anders Skrondal,et al.  A simulation study of three methods for detecting disease clusters , 2006, International journal of health geographics.

[32]  Joachim Dudeck,et al.  Application of Information Technology: Transparent ICD and DRG Coding Using Information Technology: Linking and Associating Information Sources with the eXtensible Markup Language , 2003, J. Am. Medical Informatics Assoc..

[33]  Rick L. Edgeman,et al.  Multivariate Statistical Process Control with Industrial Applications , 2004, Technometrics.

[34]  Abdel-Salam G. Abdel-Salam,et al.  On the use and evaluation of prospective scan methods for health‐related surveillance , 2007 .

[35]  S. Steiner,et al.  Monitoring surgical performance using risk-adjusted cumulative sum charts. , 2000, Biostatistics.

[36]  L. Kohn,et al.  To Err Is Human : Building a Safer Health System , 2007 .

[37]  Wei Jiang,et al.  Proportional Integral Derivative Charts for Process Monitoring , 2002, Technometrics.

[38]  Jeffrey S. Duchin,et al.  A simulation study comparing aberration detection algorithms for syndromic surveillance , 2007, BMC Medical Informatics Decis. Mak..

[39]  Yuan-Shun Dai,et al.  Dependability and Security in Medical Information System , 2007, HCI.

[40]  D. Hawkins.  Multivariate quality control based on regression-adjusted variables , 1991 .

[41]  Layth C. Alwan,et al.  Time-Series Modeling for Statistical Process Control , 1988 .

[42]  Galit Shmueli,et al.  Simulating Multivariate Syndromic Time Series and Outbreak Signatures , 2007 .

[43]  R. Crosier.  Multivariate generalizations of cumulative sum quality-control schemes , 1988 .

[44]  Wei Jiang,et al.  A Weighted CUSUM Chart for Detecting Patterned Mean Shifts , 2008 .

[45]  Greg M. Allenby,et al.  A Dynamic Model of Purchase Timing with Application to Direct Marketing , 1999 .

[46]  Charles W. Champ,et al.  A multivariate exponentially weighted moving average control chart , 1992 .

[47]  J C Benneyan,et al.  Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues , 1998, Infection Control & Hospital Epidemiology.

[48]  William H. Woodall,et al.  Performance Metrics for Surveillance Schemes , 2008 .

[49]  Benjamin J Cowling,et al.  Methods for monitoring influenza surveillance data. , 2006, International journal of epidemiology.

[50]  M. Kulldor,et al.  Prospective time-periodic geographical disease surveillance using a scan statistic , 2001 .

[51]  Richard Platt,et al.  Use of Automated Ambulatory-Care Encounter Records for Detection of Acute Illness Clusters, Including Potential Bioterrorism Events , 2002, Emerging infectious diseases.

[52]  C. Holt.  Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .

[53]  L. Hutwagner,et al.  The bioterrorism preparedness and response Early Aberration Reporting System (EARS) , 2003, Journal of Urban Health.

[54]  Peter A Rogerson,et al.  Monitoring change in spatial patterns of disease: comparing univariate and multivariate cumulative sum approaches , 2004, Statistics in medicine.

[55]  A. Nizam,et al.  Containing Bioterrorist Smallpox , 2002, Science.

[56]  Dejian Lai,et al.  Monitoring the SARS Epidemic in China: A Time Series Analysis , 2005, Journal of Data Science.

[57]  K. Tsui,et al.  Identification and Quantification in Multivariate Quality Control Problems , 1994 .

[58]  Hsinchun Chen,et al.  A Review of Public Health Syndromic Surveillance Systems , 2006, ISI.

[59]  W. F. Athas,et al.  Evaluating cluster alarms: a space-time scan statistic and brain cancer in Los Alamos, New Mexico. , 1998, American journal of public health.

[60]  William H. Woodall,et al.  The Use of Control Charts in Health-Care and Public-Health Surveillance , 2006 .

[61]  M. Kulldorff,et al.  Evaluation of Spatial Scan Statistics for Irregularly Shaped Clusters , 2006 .

[62]  Gregory F Cooper,et al.  Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs , 2007, Statistics in medicine.

[63]  Kwok-Leung Tsui,et al.  Multivariate control charts based on loss functions , 1993 .

[64]  A. Nizam,et al.  Containing Pandemic Influenza at the Source , 2005, Science.

[65]  A. Wall,et al.  Book ReviewTo Err is Human: building a safer health system Kohn L T Corrigan J M Donaldson M S Washington DC USA: Institute of Medicine/National Academy Press ISBN 0 309 06837 1 $34.95 , 2000 .

[66]  H. Hotelling,et al.  Multivariate Quality Control , 1947 .

[67]  Robert Tibshirani,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.

[68]  Kwok-Leung Tsui,et al.  A mean-shift pattern study on integration of SPC and APC for process monitoring , 1999 .

[69]  William H. Woodall,et al.  A one‐sided MEWMA chart for health surveillance , 2008, Qual. Reliab. Eng. Int..