Evidence map›Paper›PMID 32250707›Full record

Trial reportPublic health reports (Washington, D.C. : 1974)

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

Brian E Dixon, Zuoyi Zhang, Janet N Arno, Debra Revere, P Joseph Gibson, Shaun J Grannis

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Brian E Dixon10668 Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.ORCID 0000-0002-1121-0607
Zuoyi Zhang50826 Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA.
Janet N Arno12250 School of Medicine, Indiana University, Indianapolis, IN, USA.
Debra Revere7284 School of Public Health, University of Washington, Seattle, WA, USA.
P Joseph Gibson4059 Marion County Public Health Department, Indianapolis, IN, USA.
Shaun J Grannis50826 Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA.
Regenstrief Institute · USMarion County Public Health DepartmentUniversity of Washington · US

Funding

Improving Population Health Through Enhanced Targeted Regional Decision SupportR01HS020909 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI DIXON, BRIAN E. · 2011 to 2015
$2.0M
AHRQ HHS R01 HS020909
6 · The paper itself

Abstract

objectiveOutbreak 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.

methodsWe 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.

resultsProvider 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 (

conclusionsElectronic, 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).

Indexed as

Ambulatory Care FacilitiesDisease NotificationElectronic Health RecordsHealth Information ExchangePopulation SurveillanceControlled Before-After StudiesData CollectionHumansIndianaSocioeconomic Factorshealth information exchangeinfectious disease reportingpublic health surveillance

Identifiers

PMID32250707
PMCPMC7238703
OpenAlexW3014454724

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.