Evidence map›Paper›PMID 23467470›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2013

Towards public health decision support: a systematic review of bidirectional communication approaches.

Brian E Dixon, Roland E Gamache, Shaun J Grannis

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2013. 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. Article
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  3. Review
  4. Article
  5. Article
  6. Review
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  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-Purdue University Indianapolis, Indianapolis, IN 46202, USA. bedixon@iupui.edu
Roland E Gamache
Shaun J Grannis

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 HS020909AHRQ HHS R01HS020909
6 · The paper itself

Abstract

objectiveTo summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. MATERIALS AND

methodsA systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors.

resultsTen peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making.

conclusionsIncreasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows.

Indexed as

CommunicationDecision Support TechniquesPublic Health AdministrationPublic Health InformaticsInformation SystemsPublic Health

Identifiers

PMID23467470
PMCPMC3628068

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.