Evidence map›Paper›PMID 18765090›Full record

ReviewCurrent hypertension reports2008

Using health information technology to improve hypertension management.

Mary K Goldstein

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00374452 (VISN Collaborative for Improving Hypertension Management With ATHENA-HTN), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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.

NCT00374452 nacompletednot on this map

VISN Collaborative for Improving Hypertension Management With ATHENA-HTN

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2007 to 2011Enrolled103ConditionsHypertensionArmsATHENA-CDS-HTN plus Guideline Link, Guideline Link Only
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
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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

1 author.

Mary K GoldsteinVA Palo Alto Health Care System, Geriatrics Research Education and Clinical Center 182B, 3801 Miranda Avenue, Palo Alto, CA 94304, USA. mary.goldstein@va.gov

Funding

SOFTWARE ARCHITECTURE FOR GUIDELINE DIRECTED THERAPYR01LM005708 · NLM · STANFORD UNIVERSITY · PI MUSEN, MARK A · 1995 to 2002
$1.4M
KNOWLEDGE BASED TEMPORAL ABSTRACTION OF CLINICAL DATAR29LM006245 · NLM · STANFORD UNIVERSITY · PI SHAHAR, YUVAL · 1996 to 2000
$121k
NLM NIH HHS LM05708NLM NIH HHS LM06245
6 · The paper itself

Abstract

High-quality medical care requires implementing evidence-based best practices, with continued monitoring to improve performance. Implementation science is beginning to identify approaches to developing, implementing, and evaluating quality improvement strategies across health care systems that lead to good outcomes for patients. Health information technology has much to contribute to quality improvement for hypertension, particularly as part of multidimensional strategies for improved care. Clinical reminders closely aligned with organizational commitment to quality improvement may be one component of a successful strategy for improving blood pressure control. The ATHENA-Hypertension (Assessment and Treatment of Hypertension: Evidence-based Automation) system is an example of more complex clinical decision support. It is feasible to implement and deploy innovative health information technologies for clinical decision support with features such as clinical data visualizations and evidence to support specific recommendations. Further study is needed to determine the optimal contexts for such systems and their impact on patient outcomes.

Indexed as

Biomedical TechnologyDecision Support Systems, ClinicalGuideline AdherenceHumansHypertensionInformation SystemsPractice Guidelines as TopicQuality of Health Care

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.