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Published in: BMC Medical Informatics and Decision Making 1/2017

Open Access 01-12-2017 | Research article

Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department

Authors: Brian E. Dixon, Zuoyi Zhang, Patrick T. S. Lai, Uzay Kirbiyik, Jennifer Williams, Rebecca Hills, Debra Revere, P. Joseph Gibson, Shaun J. Grannis

Published in: BMC Medical Informatics and Decision Making | Issue 1/2017

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Abstract

Background

Most public health agencies expect reporting of diseases to be initiated by hospital, laboratory or clinic staff even though so-called passive approaches are known to be burdensome for reporters and produce incomplete as well as delayed reports, which can hinder assessment of disease and delay recognition of outbreaks. In this study, we analyze patterns of reporting as well as data completeness and timeliness for traditional, passive reporting of notifiable disease by two distinct sources of information: hospital and clinic staff versus clinical laboratory staff. Reports were submitted via fax machine as well as electronic health information exchange interfaces.

Methods

Data were extracted from all submitted notifiable disease reports for seven representative diseases. Reporting rates are the proportion of known cases having a corresponding case report from a provider, a faxed laboratory report or an electronic laboratory report. Reporting rates were stratified by disease and compared using McNemar’s test. For key data fields on the reports, completeness was calculated as the proportion of non-blank fields. Timeliness was measured as the difference between date of laboratory confirmed diagnosis and the date the report was received by the health department. Differences in completeness and timeliness by data source were evaluated using a generalized linear model with Pearson’s goodness of fit statistic.

Results

We assessed 13,269 reports representing 9034 unique cases. Reporting rates varied by disease with overall rates of 19.1% for providers and 84.4% for laboratories (p < 0.001). All but three of 15 data fields in provider reports were more often complete than those fields within laboratory reports (p <0.001). Laboratory reports, whether faxed or electronically sent, were received, on average, 2.2 days after diagnosis versus a week for provider reports (p <0.001).

Conclusions

Despite growth in the use of electronic methods to enhance notifiable disease reporting, there still exists much room for improvement.
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Metadata
Title
Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department
Authors
Brian E. Dixon
Zuoyi Zhang
Patrick T. S. Lai
Uzay Kirbiyik
Jennifer Williams
Rebecca Hills
Debra Revere
P. Joseph Gibson
Shaun J. Grannis
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2017
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-017-0491-8

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