Evidence map›Paper›PMID 25126364›Full record

ReviewAmerican health & drug benefits2011

Review of strategies to enhance outcomes for patients with type 2 diabetes: payers' perspective.

Rhonda Greenapple

Open access · greenAbstract readReview
In one paragraph

Review in American health & drug benefits, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 40% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Rhonda GreenappleMs Greenapple is President, Reimbursement Intelligence, LLC, Madison, NJ.
Trimble (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes and its clinical consequences exact a great toll on patients and on society in terms of its effects on morbidity and mortality and its staggering economic impact.

objectiveTo review various programs and strategies that aim at enhancing adherence to antihyperglycemic therapy and suggest the best approach to improving patient outcomes and reducing healthcare costs. DISCUSSION: Treatment goals for patients with diabetes have been defined, and multiple safe and effective medications are available. Nevertheless, the majority of patients with diabetes fail to achieve treatment goals, because of difficulty with adherence to medication regimens and lifestyle modifications, and because of economic barriers. This article discusses various initiatives developed to improve patient outcomes, including consumer-driven health plans and wellness and prevention programs. Furthermore, economic incentives to patients, such as value-based insurance design, may increase adherence; nevertheless, evidence suggests that such programs alone provide only modest gains. Primary providers in disease management programs can include nurses, case managers, or pharmacists. Supportive interventions across several modalities have been shown to be effective.

conclusionAn approach that uses a combination of strategies designed to impact patients' health-related behaviors across a variety of modalities may help to improve outcomes and reduce costs. Additional novel, innovative interdisciplinary initiatives are necessary to effect meaningful change that can facilitate improved health outcomes for patients with diabetes and maximize cost-effectiveness approaches for payers.

Identifiers

PMID25126364
PMCPMC4105736
OpenAlexW2155264346

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.