A Comparison of the Completeness and Timeliness of Automated Electronic Laboratory Reporting and Spontaneous Reporting of Notifiable Conditions.
Objectives. We examined whether automated electronic laboratory reporting of notifiable-diseases results in information being delivered to public health departments more completely and quickly than is the case with spontaneous, paper-based reporting. Methods. We used data from a local public health...
| Published in: | American Journal of Public Health Vol. 98; no. 2; pp. 344 - 351 |
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| Main Authors: | , , |
| Format: | Article |
| Published: |
American Public Health Association
February 2008
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=508043339&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508043339 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: February 2008 vid: 98 iid: 2 pid: 44 pub: American Public Health Association artinfo: ui: 508043339 10.2105/AJPH.2006.092700 ppf: 344 ppct: 7 formats: tig: atl: A Comparison of the Completeness and Timeliness of Automated Electronic Laboratory Reporting and Spontaneous Reporting of Notifiable Conditions. aug: au: Overhage, J. Marc Grannis, Shaun McDonald, Clement J. su: Diseases -- Reporting Information storage & retrieval systems -- Public health Medical databases Public health Equipment & supplies Nosocomial infections Therapeutics Health education Education software sug: subj: Diseases -- Reporting Information storage & retrieval systems -- Public health Medical databases Public health Equipment & supplies Nosocomial infections Therapeutics Health education Education software ab: Objectives. We examined whether automated electronic laboratory reporting of notifiable-diseases results in information being delivered to public health departments more completely and quickly than is the case with spontaneous, paper-based reporting. Methods. We used data from a local public health department, hospital infection control departments, and a community-wide health information exchange to identify all potential cases of notifiable conditions that occurred in Marion County, Ind, during the first quarter of 2001. We compared traditional spontaneous reporting to the health department with automated electronic laboratory reporting through the health information exchange. Results. After reports obtained using the 2 methods had been matched, there were 4785 unique reports for 53 different conditions during the study period. Chlamydia was the most common condition, followed by hepatitis B, hepatitis C, and gonorrhea. Automated electronic laboratory reporting identified 4.4 times as many cases as traditional spontaneous, paper-based methods and identified those cases 7.9 days earlier than spontaneous reporting. Conclusions. Automated electronic laboratory reporting improves the completeness and timeliness of disease surveillance, which will enhance public health awareness and reporting efficiency. (Am J Public Health. 2008;98:344-350. doi:10.2105/AJPH.2006.092700) Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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