Evidence map›Paper›PMID 17213491›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA

Informatics systems to promote improved care for chronic illness: a literature review.

David Dorr, Laura M Bonner, Amy N Cohen, Rebecca S Shoai, Ruth Perrin, Edmund Chaney, Alexander S Young

Abstract readReview
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 12 pooled it
–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

90 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  5. Nutrition Informatics Applications in Clinical Practice: a Systematic Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
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  18. Usability testing finds problems for novice users of pediatric portals.Journal of the American Medical Informatics Association : JAMIA
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30 more citing papers are in PubMed but not listed here.

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

7 authors.

David DorrOregon Health & Science University, Department of Medical Informatics & Clinical Epidemiology, Portland, OR, USA. dorrd@ohsu.edu
Laura M Bonner
Amy N Cohen
Rebecca S Shoai
Ruth Perrin
Edmund Chaney
Alexander S Young

Funding

Enhancing Guidelines with Collaborative Care AgentsK22LM008427 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI DORR, DAVID A · 2005 to 2007
$452k
NLM NIH HHS K22 LM008427NLM NIH HHS K22 LM 8427-01
6 · The paper itself

Abstract

objectiveTo understand information systems components important in supporting team-based care of chronic illness through a literature search.

designSystematic search of literature from 1996-2005 for evaluations of information systems used in the care of chronic illness. MEASUREMENTS: The relationship of design, quality, information systems components, setting, and other factors with process, quality outcomes, and health care costs was evaluated.

resultsIn all, 109 articles were reviewed involving 112 information system descriptions. Chronic diseases targeted included diabetes (42.9% of reviewed articles), heart disease (36.6%), and mental illness (23.2%), among others. System users were primarily physicians, nurses, and patients. Sixty-seven percent of reviewed experiments had positive outcomes; 94% of uncontrolled, observational studies claimed positive results. Components closely correlated with positive experimental results were connection to an electronic medical record, computerized prompts, population management (including reports and feedback), specialized decision support, electronic scheduling, and personal health records. Barriers identified included costs, data privacy and security concerns, and failure to consider workflow. CONCLUSION The majority of published studies revealed a positive impact of specific health information technology components on chronic illness care. Implications for future research and system designs are discussed.

Indexed as

Information SystemsChronic DiseaseHealth Care CostsHumansMedical Records Systems, ComputerizedMultivariate AnalysisPatient Care TeamQuality of Health Care

Identifiers

PMID17213491
PMCPMC2213468

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.