Evidence map›Paper›PMID 28422968›Full record

Trial reportPloS one2017

The impact of a point-of-care testing device on CVD risk assessment completion in New Zealand primary-care practice: A cluster randomised controlled trial and qualitative investigation.

Sue Wells, Natasha Rafter, Timothy Kenealy, Geoff Herd, Kyle Eggleton, Rose Lightfoot, Kim Arcus, Angela Wadham, Yannan Jiang, Chris Bullen

Abstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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  4. Review
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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

10 authors.

Sue WellsSection of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.
Natasha RafterNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Timothy KenealyDepartment of General Practice and Primary Health Care, School of Population Health, University of Auckland, Auckland, New Zealand.
Geoff HerdWhangarei Hospital, Northland District Health Board, Whangarei, New Zealand.
Kyle EggletonDepartment of General Practice and Primary Health Care, School of Population Health, University of Auckland, Auckland, New Zealand.
Rose LightfootTe Tai Tokerau Primary Health Organisation, Kaitaia, New Zealand.
Kim ArcusThe National Heart Foundation of New Zealand, Auckland, New Zealand.
Angela WadhamNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Yannan JiangNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Chris BullenNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the effect of a point of care (POC) device for testing lipids and HbA1c in addition to testing by community laboratory facilities (usual practice) on the completion of cardiovascular disease (CVD) risk assessments in general practice.

methodsWe conducted a pragmatic, cluster randomised controlled trial in 20 New Zealand general practices stratified by size and rurality and randomised to POC device plus usual practice or usual practice alone (controls). Patients aged 35-79 years were eligible if they met national guideline criteria for CVD risk assessment. Data on CVD risk assessments were aggregated using a web-based decision support programme common to each practice. Data entered into the on-line CVD risk assessment form could be saved pending blood test results. The primary outcome was the proportion of completed CVD risk assessments. Qualitative data on practice processes for CVD risk assessment and feasibility of POC testing were collected at the end of the study by interviews and questionnaire. The POC testing was supported by a comprehensive quality assurance programme.

resultsA CVD risk assessment entry was recorded for 7421 patients in 10 POC practices and 6217 patients in 10 control practices; 99.5% of CVD risk assessments had complete data in both groups (adjusted odds ratio 1.02 [95%CI 0.61-1.69]). There were major external influences that affected the trial: including a national performance target for CVD risk assessment and changes to CVD guidelines. All practices had invested in systems and dedicated staff time to identify and follow up patients to completion. However, the POC device was viewed by most as an additional tool rather than as an opportunity to review practice work flow and leverage the immediate test results for patient education and CVD risk management discussions. Shortly after commencement, the trial was halted due to a change in the HbA1c test assay performance. The trial restarted after the manufacturing issue was rectified but this affected the end use of the device.

conclusionsPerformance incentives and external influences were more powerful modifiers of practice behaviours than the POC device in relation to CVD risk assessment completion. The promise of combining risk assessment, communication and management within one consultation was not realised. With shifts in policy focus, the utility of POC devices for patient engagement in CVD preventive care may be demonstrated if fully integrated into the clinical setting.

trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12613000607774.

Indexed as

AdultAgedCardiovascular DiseasesCholesterolFamily PracticeFemaleGlycated HemoglobinHumansMaleMiddle AgedNew ZealandPoint-of-Care SystemsPoint-of-Care TestingPrimary Health CareQuality Assurance, Health CareRisk AssessmentCholesterolGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID28422968
PMCPMC5396877

What OpenQuestion holds

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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.