Literature DB >> 18199968

Effect of electronic laboratory reporting on the burden of lyme disease surveillance--New Jersey, 2001-2006.

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Abstract

Lyme disease (LD) is a vector-borne illness caused by the spirochete Borrelia burgdorferi and transmitted in the United States by blacklegged ticks (Ixodes spp.). LD is most commonly found in the northeastern, mid-Atlantic, and north-central regions of the United States. In 2005, New Jersey reported 38.6 LD cases per 100,000 population, the third-highest incidence in the United States after Delaware and Connecticut. Since 1980, New Jersey has mandated that health-care providers and clinical laboratories report all LD cases to local health departments, which investigate these reports to confirm that they meet the national surveillance case definition. Reports from health-care providers typically include exposure and clinical information needed for case confirmation. In contrast, reports from laboratories do not contain exposure and clinical information, and local health departments must follow up with health-care providers to obtain the missing information needed to confirm a case for surveillance purposes. In 2002, New Jersey expanded its paper-based laboratory reporting system to include electronic laboratory-reporting (ELR) for all laboratory-reportable diseases. During the next 4 years, New Jersey's local health departments noted that the number of ELR reports for LD and the time needed to handle them had begun to impede the departments' abilities to address other public health priorities. In 2006, to assess these concerns, the New Jersey Department of Health and Senior Services evaluated the state's LD surveillance system. This report summarizes the results of that evaluation, which determined that during 2001-2004, the total annual number of LD reports increased nearly fivefold (from 2,460 in 2001 to 11,957 in 2004), but confirmed reports increased only 18% (from 2,371 in 2001 to 2,791 in 2004). ELR represented 51% of reports received during 2001-2006, but only 29% were confirmed upon investigation. These results illustrate the difficulties associated with ELR reporting of LD in New Jersey, especially the use of resources needed to address other public health problems. Other states with similar difficulties might need to reevaluate the resources used to confirm electronically reported LD and other notifiable diseases.

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Year:  2008        PMID: 18199968

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


  12 in total

1.  Improvements in timeliness resulting from implementation of electronic laboratory reporting and an electronic disease surveillance system.

Authors:  Erika Samoff; Mary T Fangman; Aaron T Fleischauer; Anna E Waller; Pia D M Macdonald
Journal:  Public Health Rep       Date:  2013 Sep-Oct       Impact factor: 2.792

2.  Natural killer cells in chronic Lyme disease.

Authors:  Raphael B Stricker; Edward E Winger
Journal:  Clin Vaccine Immunol       Date:  2009-11

3.  Using emergency department data to conduct dog and animal bite surveillance in New York City, 2003-2006.

Authors:  Brooke Bregman; Sally Slavinski
Journal:  Public Health Rep       Date:  2012 Mar-Apr       Impact factor: 2.792

4.  Government leadership in addressing public health priorities: strides and delays in electronic laboratory reporting in the United States.

Authors:  Rebecca Tave Gluskin; Maushumi Mavinkurve; Jay K Varma
Journal:  Am J Public Health       Date:  2014-01-16       Impact factor: 9.308

5.  Completeness of reporting of race and ethnicity data in the nationally notifiable diseases surveillance system, United States, 2006-2010.

Authors:  Nelson Adekoya; Benedict I Truman; Umed A Ajani
Journal:  J Public Health Manag Pract       Date:  2015 Mar-Apr

6.  A scoping review of Lyme disease research relevant to public health.

Authors:  J D Greig; I Young; S Harding; M Mascarenhas; L A Waddell
Journal:  Can Commun Dis Rep       Date:  2018-10-04

7.  Use of laboratory reports as predictors of West Nile virus disease cases, Texas, 2008-2012.

Authors:  S J Yendell; J Taylor; B J Biggerstaff; L Tabony; J E Staples; M Fischer
Journal:  Epidemiol Infect       Date:  2014-04-24       Impact factor: 4.434

Review 8.  Lyme disease: a review.

Authors:  Adriana R Marques
Journal:  Curr Allergy Asthma Rep       Date:  2010-01       Impact factor: 4.919

9.  Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol.

Authors:  Brian E Dixon; Shaun J Grannis; Debra Revere
Journal:  BMC Med Inform Decis Mak       Date:  2013-10-30       Impact factor: 2.796

10.  Automated identification of acute hepatitis B using electronic medical record data to facilitate public health surveillance.

Authors:  Michael Klompas; Gillian Haney; Daniel Church; Ross Lazarus; Xuanlin Hou; Richard Platt
Journal:  PLoS One       Date:  2008-07-09       Impact factor: 3.240

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