Evidence map›Paper›PMID 27664074›Full record

ArticleImplementation science : IS2016

An integrated general practice and pharmacy-based intervention to promote the use of appropriate preventive medications among individuals at high cardiovascular disease risk: protocol for a cluster randomized controlled trial.

Adina Hayek, Rohina Joshi, Tim Usherwood, Ruth Webster, Baldeep Kaur, Bandana Saini, Carol Armour, Ines Krass, Tracey-Lea Laba, Christopher Reid and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

18 authors.

Adina HayekThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0001-7772-5710
Rohina JoshiThe George Institute for Global Health, Sydney, New South Wales, Australia.
Tim UsherwoodThe George Institute for Global Health, Sydney, New South Wales, Australia.
Ruth WebsterThe George Institute for Global Health, Sydney, New South Wales, Australia.
Baldeep KaurThe George Institute for Global Health, Sydney, New South Wales, Australia.
Bandana SainiWoolcock Institute, Sydney, New South Wales, Australia.
Carol ArmourWoolcock Institute, Sydney, New South Wales, Australia.
Ines KrassSchool of Pharmacy, University of Sydney, Sydney, New South Wales, Australia.
Tracey-Lea LabaThe George Institute for Global Health, Sydney, New South Wales, Australia.
Christopher ReidMonash University, Melbourne, Victoria, Australia.
Louise ShielSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Charlotte HespeUniversity of Notre Dame, Sydney, New South Wales, Australia.
Fred HerschMenzies Centre for Health Policy, School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia.
Stephen JanThe George Institute for Global Health, Sydney, New South Wales, Australia.
Serigne LoThe George Institute for Global Health, Sydney, New South Wales, Australia.
David PeirisThe George Institute for Global Health, Sydney, New South Wales, Australia.
Anthony RodgersThe George Institute for Global Health, Sydney, New South Wales, Australia.
Anushka PatelThe George Institute for Global Health, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVD) are responsible for significant morbidity, premature mortality, and economic burden. Despite established evidence that supports the use of preventive medications among patients at high CVD risk, treatment gaps remain. Building on prior evidence and a theoretical framework, a complex intervention has been designed to address these gaps among high-risk, under-treated patients in the Australian primary care setting. This intervention comprises a general practice quality improvement tool incorporating clinical decision support and audit/feedback capabilities; availability of a range of CVD polypills (fixed-dose combinations of two blood pressure lowering agents, a statin ± aspirin) for prescription when appropriate; and access to a pharmacy-based program to support long-term medication adherence and lifestyle modification.

methodsFollowing a systematic development process, the intervention will be evaluated in a pragmatic cluster randomized controlled trial including 70 general practices for a median period of 18 months. The 35 general practices in the intervention group will work with a nominated partner pharmacy, whereas those in the control group will provide usual care without access to the intervention tools. The primary outcome is the proportion of patients at high CVD risk who were inadequately treated at baseline who achieve target blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) levels at the study end. The outcomes will be analyzed using data from electronic medical records, utilizing a validated extraction tool. Detailed process and economic evaluations will also be performed. DISCUSSION: The study intends to establish evidence about an intervention that combines technological innovation with team collaboration between patients, pharmacists, and general practitioners (GPs) for CVD prevention.

trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12616000233426.

Indexed as

Cardiovascular diseaseClinical decision support systemGeneral practitionersPharmacistsPolypillPrimary health care

Identifiers

PMID27664074
PMCPMC5034506

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.