Evidence map›Paper›PMID 29066447›Full record

Observational studyJournal of the American Heart Association2017

Impact of Sustained Use of a Multifaceted Computerized Quality Improvement Intervention for Cardiovascular Disease Management in Australian Primary Health Care.

Bindu Patel, David Peiris, Tim Usherwood, Qiang Li, Mark Harris, Kathryn Panaretto, Nicholas Zwar, Anushka Patel

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Observational
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.

Bindu PatelThe George Institute for Global Health, University of Sydney, Camperdown, Australia bpatel@georgeinstitute.org.au.
David PeirisThe George Institute for Global Health, University of Sydney, Camperdown, Australia.
Tim UsherwoodThe George Institute for Global Health, University of Sydney, Camperdown, Australia.
Qiang LiThe George Institute for Global Health, University of Sydney, Camperdown, Australia.
Mark HarrisUniversity of New South Wales, Sydney, Australia.
Kathryn PanarettoUniversity of Queensland, Teneriffe, Australia.
Nicholas ZwarUniversity of Wollongong, Australia.
Anushka PatelThe George Institute for Global Health, University of Sydney, Camperdown, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated a multifaceted, computerized quality improvement intervention for management of cardiovascular disease (CVD) risk in Australian primary health care. After completion of a cluster randomized controlled trial, the intervention was made available to both trial arms. Our objective was to assess intervention outcomes in the post-trial period and any heterogeneity based on original intervention allocation. METHODS AND

resultsData from 41 health services were analyzed. Outcomes were (1) proportion of eligible population with guideline-recommended CVD risk factor measurements; and (2) the proportion at high CVD risk with current prescriptions for guideline-recommended medications. Patient-level analyses were conducted using generalized estimating equations to account for clustering and time effects and tests for heterogeneity were conducted to assess impact of original treatment allocation. Median follow-up for 22 809 patients (mean age, 64.2 years; 42.5% men, 26.5% high CVD risk) was 17.9 months post-trial and 35 months since trial inception. At the end of the post-trial period there was no change in CVD risk factor screening overall when compared with the end of the trial period (64.7% versus 63.5%,

conclusionsCVD risk screening improvements were not observed in the post-trial period. Conversely, improvements in prescribing continued, suggesting that changes in provider and patient actions may take time when initiating medications. CLINICAL

trial registrationURL: http://www.anzctr.org.au. Unique identifier: 12611000478910.

Indexed as

Drug Therapy, Computer-AssistedPractice Patterns, Physicians'Primary Health CareQuality ImprovementQuality Indicators, Health CareAgedAustraliaCardiovascular AgentsCardiovascular DiseasesDecision Support TechniquesDrug PrescriptionsFemaleGuideline AdherenceHumansMaleMiddle AgedCardiovascular Agentscardiovascular disease preventioncomputer decision support systemshealth information technologyinterventionlong‐term useprimary health carequality improvement

Identifiers

PMID29066447
PMCPMC5721891

What OpenQuestion holds

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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.