Evidence map›Paper›PMID 20351881›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2009

TLC: an informatics approach to enable patients to initiate tailored lifestyle conversations with providers at the point of care.

Jianhua Li, Sharib A Khan, Jessica Mark, Phani K Nivarthi, Rupa Misra, Connie Chan, David Kaufman, Rita Kukafka

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jianhua LiDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Sharib A Khan
Jessica Mark
Phani K Nivarthi
Rupa Misra
Connie Chan
David Kaufman
Rita Kukafka

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic illness including cardiovascular disease (CVD) is a major burden on the healthcare system. Behavioral and lifestyle changes could significantly reduce the burden of CVD, but provider counseling for behavior change is a very challenging, and often ineffective task. We have developed a patient-centric decision support tool to be incorporated into an Electronic Health Record system (EHR). The tool provides tailored feedback on behavioral risk, readiness and confidence in an effort to empower patients to make decisions about improving health behaviors. In turn, the tool will facilitate an informed and balanced discussion between patients and their providers about behavioral changes, incorporating both the clinical view and the individual's preferences for choosing among multiple behavior change goals based on their psychosocial characteristics, and evaluation of benefits and barriers.

Indexed as

Cardiovascular DiseasesCounselingDecision Support TechniquesHealth BehaviorLife StyleHealth PromotionHumansMedical Records Systems, Computerizedcomputer-based tailoringdecision supportHealth behaviorhealth promotion

Identifiers

PMID20351881
PMCPMC2815382

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.