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

BMC Medical Informatics and Decision Making

Research Article

Uzay Kirbiyik¹  Brian E. Dixon²  P. Joseph Gibson³  Zuoyi Zhang⁴  Jennifer Williams⁴  Patrick T. S. Lai⁵  Shaun J. Grannis⁶  Rebecca Hills⁷  Debra Revere⁷ 

[1] Indiana University, Richard M. Fairbanks School of Public Health, 1050 Wishard Blvd, RG 5000, 46202, Indianapolis, IN, USA;Regenstrief Institute, Center for Biomedical Informatics, 1101 W 10th St, Indianapolis, IN, USA;Indiana University, Richard M. Fairbanks School of Public Health, 1050 Wishard Blvd, RG 5000, 46202, Indianapolis, IN, USA;Regenstrief Institute, Center for Biomedical Informatics, 1101 W 10th St, Indianapolis, IN, USA;Department of Veterans Affairs, Health Services Research & Development Service, Center for Health Information and Communication, 1481 W. 10th St, 11H, Indianapolis, IN, USA;Department of BioHealth Informatics, School of Informatics and Computing, Indiana University, 535 W Michigan St, 46202, Indianapolis, IN, USA;Marion County Public Health Department, 3838 N Rural St, 46205, Indianapolis, IN, USA;Regenstrief Institute, Center for Biomedical Informatics, 1101 W 10th St, Indianapolis, IN, USA;Regenstrief Institute, Center for Biomedical Informatics, 1101 W 10th St, Indianapolis, IN, USA;Department of BioHealth Informatics, School of Informatics and Computing, Indiana University, 535 W Michigan St, 46202, Indianapolis, IN, USA;Regenstrief Institute, Center for Biomedical Informatics, 1101 W 10th St, Indianapolis, IN, USA;Indiana University, School of Medicine, 3410 10th St, #6200, Indianapolis, IN, USA;University of Washington, School of Public Health, Box 354809, 1107 NE 45th St, Suite 400, 98195-4809, Seattle, WA, USA;

关键词: Health information exchange;    Disease notification;    Public health surveillance;    Completeness;    Timeliness;    Electronic laboratory reporting;   

DOI  :  10.1186/s12911-017-0491-8

 received in 2017-02-24, accepted in 2017-06-15,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundMost 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.MethodsData 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.ResultsWe 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).ConclusionsDespite growth in the use of electronic methods to enhance notifiable disease reporting, there still exists much room for improvement.

【 授权许可】

CC BY   
© The Author(s). 2017