Evidence map›Paper›PMID 21346956›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010

Improving Medication Adherence in a Regional Healthcare Information Exchange using a Scalable, Claims-Driven, and Service-Oriented Approach.

Guilherme Del Fiol, Kensaku Kawamoto, Nancy M Allen Lapointe, Eric L Eisenstein, Kevin J Anstrom, Laura L Wood, David F Lobach

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Guilherme Del FiolDivision of Clinical Informatics, Department of Community and Family Medicine and.
Kensaku Kawamoto
Nancy M Allen Lapointe
Eric L Eisenstein
Kevin J Anstrom
Laura L Wood
David F Lobach

Funding

AHRQ HHS R18 HS017072
6 · The paper itself

Abstract

Evidence-based pharmacotherapy is a central aspect of optimal patient care for many chronic conditions. However, medication non-adherence frequently inhibits the attainment of optimal pharmacotherapy regimens. In this study, we designed, developed, and implemented a multifaceted clinical decision support (CDS) intervention that supports evidence-based pharmacotherapy and enhanced medication adherence through the use of a scalable, claims-driven, and service-oriented approach. The intervention includes a medication management report and a low adherence alert based on thirteen evidence-based pharmacotherapy rules for seven chronic conditions. Reports and alerts are delivered to primary care clinics and care managers that participate in a healthcare information exchange in North Carolina. The resulting system architecture may enable this CDS intervention to be widely disseminated to healthcare networks through an open-source model.

Indexed as

Chronic DiseaseMedication AdherenceComputer SystemsDecision Support Systems, ClinicalHumans

Identifiers

PMID21346956
PMCPMC3041339

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.