Evidence map›Paper›PMID 21499827›Full record

ArticleJournal of general internal medicine2011

Pre-post evaluation of automated reminders may improve detection and management of post-stroke depression.

Linda S Williams, Susan Ofner, Zhangsheng Yu, Rebecca J Beyth, Laurie Plue, Teresa Damush

Open access · bronzeAbstract readComparative StudyEvaluation StudyMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 3 institutions in 1 country.

Linda S WilliamsRoudebush VAMC and VA Stroke QUERI, Indianapolis, IN, USA. Linda.Williams6@va.gov
Susan Ofner
Zhangsheng Yu
Rebecca J Beyth
Laurie Plue
Teresa Damush
Indiana University – Purdue University Indianapolis · USRichard L. Roudebush VA Medical Center · USFlorida College · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
NIA NIH HHS P30 AG028740
6 · The paper itself

Abstract

backgroundPost-stroke depression (PSD) occurs in at least one-third of stroke survivors, is associated with worse functional outcomes and increased mortality, and is frequently underdiagnosed and undertreated.

objectiveTo evaluate the effectiveness of an electronic medical record-based system intervention to improve the proportion of veterans screened and treated for PSD.

designQuasi-experimental study comparing PSD screening and treatment among veterans receiving post-stroke outpatient care one year prior to the intervention (the control group) to those receiving outpatient care during the intervention period (the intervention group); contemporaneous data from non-study sites included to assess temporal trends in depression diagnosis and treatment.

participantsVeterans hospitalized for ischemic stroke and/or receiving primary care (PC) or neurology outpatient follow-up within six months post-stroke at two (Veterans Affairs) VA Medical Centers.

interventionsWe formed clinical improvement teams at both sites. Teams developed PSD screening and treatment reminders and designed tailored implementation strategies for reminder use in PC and neurology clinics. MAIN MEASURES: Proportion screened for PSD within 6 months post-stroke; proportion screening positive for PSD who received an appropriate treatment action within 6 months post-stroke. KEY

resultsIn unadjusted analyses, PSD screening was performed within 6 months for 85% of intervention (N = 278) vs. 50% of control (N = 374) patients (OR 6.2 , p < 0.001), and treatment action was received by 83% of intervention vs. 73% of control patients who screened positive (OR 1.8 p = 0.13). After adjusting for intervention, site and number of follow-up visits, intervention patients were more likely to be screened (OR 4.8, p < 0.001) and to receive a treatment action if screened positive (OR 2.45, p = 0.05). Analyses of temporal trends in non-study sites revealed no trend toward general increase in PSD detection or treatment.

conclusionsAutomated depression screening in primary and specialty care can improve detection and treatment of PSD.

Indexed as

AgedDepressionDisease ManagementEarly Medical InterventionElectronic Health RecordsFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk FactorsStrokeTreatment OutcomeVeterans

Identifiers

PMID21499827
PMCPMC3138982
OpenAlexW2064749198

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.