Sensitivity and Predictive Value Positive Measurements for Public Health Surveillance Systems

Two important measurements for the evaluation of a public health surveillance system are sensitivity and predictive value positive (PVP). The computation of sensitivity and PVP for a public health surveillance system, however, can be complicated by the absence of an appropriate gold standard. In addition, there are few references for the computation of sensitivity and PVP for a surveillance system. To determine how these attributes of evaluation have been reported in epidemiologic literature, I review papers that report sensitivity and PVP for public health surveillance systems. Of the 31 papers that met selection criteria, 21 (68%) included either a reference for the computation or a definition of the attributes, whereas 18 (58%) reported both attributes. All 31 papers reported sensitivity, and among the 31 papers, 24 (77%) reported more than one sensitivity measurement. Among the 18 papers that reported at least PVP, 13 (72%) reported more than one PVP measurement. This review provides guidance in computing sensitivity and PVP for a public health surveillance system.

[1]  C. Barber,et al.  Massachusetts Weapon-Related Injury Surveillance System. , 1998, American journal of preventive medicine.

[2]  R. S. Hopkins,et al.  Work-related injuries in Athens County 1982 to 1986. A comparison of emergency department and workers' compensation data. , 1992, Journal of occupational medicine. : official publication of the Industrial Medical Association.

[3]  C. Caspersen,et al.  Test characteristics of self-reported hypertension among the Hispanic population: findings from the Hispanic Health and Nutrition Examination Survey. , 1990, Journal of clinical epidemiology.

[4]  I. B. Pless,et al.  Evaluation of the quality of an injury surveillance system. , 1999, American journal of epidemiology.

[5]  K. Swallen,et al.  Comparison of methods for classifying Hispanic ethnicity in a population-based cancer registry. , 1999, American journal of epidemiology.

[6]  K. K. Datta,et al.  Sensitivity of neonatal tetanus surveillance system in India. , 1997, Indian pediatrics.

[7]  A. Crosby,et al.  Missouri Firearm-Related Injury Surveillance System. , 1998, American journal of preventive medicine.

[8]  H. Hall,et al.  Evaluating the sensitivity of Hazardous Substances Emergency Events Surveillance. A comparison of three surveillance systems , 1996 .

[9]  G. Seage,et al.  Using administratively collected hospital discharge data for AIDS surveillance. , 1995, Annals of epidemiology.

[10]  M. Goldacre,et al.  Computerised linking of medical records: methodological guidelines. , 1993, Journal of epidemiology and community health.

[11]  S B Thacker,et al.  Future directions for comprehensive public health surveillance and health information systems in the United States. , 1994, American journal of epidemiology.

[12]  L. Paulozzi,et al.  Birth defects surveillance: assessing the "gold standard". , 1999, American journal of public health.

[13]  S. Foster,et al.  Sensitivity of poliomyelitis surveillance in India. , 1998, Indian pediatrics.

[14]  J Fox,et al.  The Wisconsin Firearm-Related Injury Surveillance System. , 1998, American journal of preventive medicine.

[15]  G S Sorock,et al.  An evaluation of New Jersey's hospital discharge database for surveillance of severe occupational injuries. , 1993, American journal of industrial medicine.

[16]  G. Cooper,et al.  The utility of Medicare claims data for measuring cancer stage. , 1999, Medical care.

[17]  R. Gaynes,et al.  Accuracy of Reporting Nosocomial Infections In Intensive-Care–Unit Patients to the National Nosocomial Infections Surveillance System: A Pilot Study , 1998, Infection Control & Hospital Epidemiology.

[18]  C. Mellis,et al.  Evaluation of a national surveillance unit , 1999, Archives of disease in childhood.

[19]  G. Whiteneck,et al.  Evaluating sources of traumatic spinal cord injury surveillance data in Colorado. , 1997, American journal of epidemiology.

[20]  D. Thurman,et al.  Surveillance of spinal cord injuries in Utah, USA , 1994, Paraplegia.

[21]  A. Dinda,et al.  Renal dysplasia: An autopsy study of associated congential malformations , 1998, Indian journal of pediatrics.

[22]  J. Whisnant,et al.  Accuracy of Hospital Discharge Abstracts for Identifying Stroke , 1994, Stroke.

[23]  R. McClure,et al.  The Australian Capital Territory Injury Surveillance and Prevention Project. , 1995, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[24]  R. G. Parrish,et al.  Guidelines for evaluating surveillance systems. , 1988, MMWR supplements.

[25]  G R Istre,et al.  Epidemiology of traumatic spinal cord injury and acute hospitalization and rehabilitation charges for spinal cord injuries in Oklahoma, 1988-1990. , 1994, American journal of epidemiology.

[26]  G. Cooper,et al.  The sensitivity of Medicare claims data for case ascertainment of six common cancers. , 1999, Medical care.

[27]  L. Miller,et al.  Surveillance for fetal alcohol syndrome in Colorado. , 1995, Public health reports.

[28]  R. Ikeda,et al.  Oklahoma Firearm-Related Injury Surveillance. , 1998, American journal of preventive medicine.

[29]  S. Thacker,et al.  Planning a public health surveillance system. , 1995, Epidemiological bulletin.

[30]  R. Ikeda,et al.  Washington State Gunshot-Wound Surveillance System. , 1998, American journal of preventive medicine.

[31]  H. Hedegaard,et al.  Firearm-related injury surveillance in Colorado. , 1998, American journal of preventive medicine.

[32]  M. Khoury,et al.  The surveillance of birth defects: the usefulness of the revised US standard birth certificate. , 1996, American journal of public health.

[33]  R. Reintjes,et al.  Assessing the sensitivity of STD surveillance in the Netherlands: an application of the capture–recapture method , 1999, Epidemiology and Infection.

[34]  Fatal firearm-related injury surveillance in Maryland. , 1998, American journal of preventive medicine.