Evidence map›Paper›PMID 24678378›Full record

ArticleOnline journal of public health informatics2014

Estimating increased electronic laboratory reporting volumes for meaningful use: 
implications for the public health workforce.

Brian E Dixon, P Joseph Gibson, Shaun J Grannis

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Design and Implementation of Data Exchange Formats for Molecular Detection of Drug-Resistant Tuberculosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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

3 authors.

Brian E DixonSchool of Informatics and Computing, Indiana University, Indianapolis, IN ; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA ; Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA.
P Joseph GibsonHealth and Hospital Corporation of Marion County, Indianapolis, IN, USA.
Shaun J GrannisCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA ; School of Medicine, Indiana University, Indianapolis, IN.

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

objectiveTo provide formulas for estimating notifiable disease reporting volume from 'meaningful use' electronic laboratory reporting (ELR).

methodsWe analyzed two years of comprehensive ELR reporting data from 15 metropolitan hospitals and laboratories. Report volumes were divided by population counts to derive generalizable estimators.

resultsObserved volume of notifiable disease reports in a metropolitan area were more than twice national averages. ELR volumes varied by institution type, bed count, and by the level of effort required of health department staff.

conclusionsHealth departments may experience a significant increase in notifiable disease reporting following efforts to fulfill meaningful use requirements, resulting in increases in workload that may further strain public health resources. Volume estimators provide a method for predicting ELR transaction volumes, which may support administrative planning in health departments.

Indexed as

Clinical Laboratory Information SystemsComputerized Medical Record SystemsDisease NotificationHealth Information ExchangeHealth ManpowerPublic Health Informatics

Identifiers

PMID24678378
PMCPMC3959912

What OpenQuestion holds

Textmetadata
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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.