Improving Notifiable Disease Case Reporting Through Electronic Information Exchange–Facilitated Decision Support: A Controlled Before-and-After Trial

Author:

Dixon Brian E.123ORCID,Zhang Zuoyi2,Arno Janet N.45,Revere Debra6,Joseph Gibson P.5,Grannis Shaun J.24

Affiliation:

1. Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA

2. Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA

3. Center for Health Information and Communication, Health Services Research & Development Service, Department of Veterans Affairs, Indianapolis, IN, USA

4. School of Medicine, Indiana University, Indianapolis, IN, USA

5. Marion County Public Health Department, Indianapolis, IN, USA

6. School of Public Health, University of Washington, Seattle, WA, USA

Abstract

Objective Outbreak detection and disease control may be improved by simplified, semi-automated reporting of notifiable diseases to public health authorities. The objective of this study was to determine the effect of an electronic, prepopulated notifiable disease report form on case reporting rates by ambulatory care clinics to public health authorities. Methods We conducted a 2-year (2012-2014) controlled before-and-after trial of a health information exchange (HIE) intervention in Indiana designed to prepopulate notifiable disease reporting forms to providers. We analyzed data collected from electronic prepopulated reports and “usual care” (paper, fax) reports submitted to a local health department for 7 conditions by using a difference-in-differences model. Primary outcomes were changes in reporting rates, completeness, and timeliness between intervention and control clinics. Results Provider reporting rates for chlamydia and gonorrhea in intervention clinics increased significantly from 56.9% and 55.6%, respectively, during the baseline period (2012) to 66.4% and 58.3%, respectively, during the intervention period (2013-2014); they decreased from 28.8% and 27.5%, respectively, to 21.7% and 20.6%, respectively, in control clinics ( P < .001). Completeness improved from baseline to intervention for 4 of 15 fields in reports from intervention clinics ( P < .001), although mean completeness improved for 11 fields in both intervention and control clinics. Timeliness improved for both intervention and control clinics; however, reports from control clinics were timelier (mean, 7.9 days) than reports from intervention clinics (mean, 9.7 days). Conclusions Electronic, prepopulated case reporting forms integrated into providers’ workflow, enabled by an HIE network, can be effective in increasing notifiable disease reporting rates and completeness of information. However, it was difficult to assess the effect of using the forms for diseases with low prevalence (eg, salmonellosis, histoplasmosis).

Funder

Agency for Healthcare Research and Quality

Robert Wood Johnson Foundation

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health

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